Metware Biotechnology Co., Ltd

Energy Metabolism(2023年12月07日)

metwarebio — 2023-11-22T10:55:33+0900

https://www.metwarebio.com/metabolomics-services/energy-metabolism/

Energy metabolism is the process of generating energy (ATP) from nutrients such as glucose and fatty acids through pathways such as the glycolysis pathway, the tricarboxylic acid cycle, and the pentose phosphate pathway. Metware Biotechnology’s Energy Metabolism Targeted Metabolomics obtains absolute quantitative results on 68 energy related metabolites from various fluid and tissue samples.

Technology Introduction
Energy metabolism is the process of anaerobic glycolysis and aerobic respiration from nutrients such as glucose and fatty acids for the production of energy (ATP). It is one of the most basic characteristics of life and maintains the basis of cellular function. Energy metabolism, also known as central carbon metabolism (CCM), mainly includes glycolysis pathway (EMP), tricarboxylic acid cycle (TCA), and pentose phosphate pathway (PPP). These pathways cycle through many intermediate compounds to generate energy. Metware Biotechnology uses QTRAP, a triple-quad LC-MS technology, to obtain absolute quantification of 68 metabolites associated with these pathways. One no longer have to guess how the cells or organism is doing, since our assay will help quantifiy their energy uses.

Technology Features of Energy Targeted Metabolomics Service

Absolute quantification
68 standard curves, r > 0.99;


Wide coverage
the panel covers 68 compounds in the three major pathways;


High sensitivity
AB QTRAP 6500+ LC-MS/MS，ng/ml concentration can be detected.
List of Metabolites

IndexCompoundsClass
1Pyruvic acidOrganic acid And Its derivatives
2SerineAmino acids
3L-Glutamic acidAmino acids
4ThreonineAmino acids
5LysineAmino acids
6TyrosineAmino acids
7ArginineAmino acids
8OrnithineAmino acids
9L-LeucineAmino acids
10GlutamineAmino acid derivatives
11L-AlanineAmino acids
12Succinic AcidOrganic acid And Its derivatives
13Alpha-Ketoglutaric AcidOrganic acid And Its derivatives
14L-AsparagineAmino acids
15AdenineNucleotide and Its metabolomics
16InosineNucleotide and Its metabolomics
173-phenyllactic acidOrganic acid And Its derivatives
18Citric acidOrganic acid And Its derivatives
19LactateOrganic acid And Its derivatives
20ADPNucleotide and Its metabolomics
21 ……

Energy Targeted Metabolism Services Case Study
1) Article Spotlight: S1P defects cause a new entity of cataract, alopecia, oral mucosal disorder, and psoriasis-like syndrome
Abstract

In this report, the authors discovered a new entity named cataract, alopecia,oral mucosal disorder, and psoriasis-like (CAOP) syndrome in two unrelated and ethnically diverse patients. Furthermore, patient 1 failed to respond to regular treatment. The authors found that CAOP syndrome was caused by an autosomal recessive defect in the mitochondrial membrane-bound transcription factor peptidase/site-1 protease (MBTPS1, S1P). Mitochondrial abnormalities were observed in patient 1 with CAOP syndrome. Furthermore, the authors found that S1P is a novel mitochondrial protein that forms a trimeric complex with ETFA/ETFB. S1P enhances ETFA/ETFB flavination and maintains its stability. Patient S1P variants destabilize ETFA/ETFB, impair mitochondrial respiration, decrease fatty acid b-oxidation activity, and shift mitochondrial oxidative phosphorylation (OXPHOS) to glycolysis. Mitochondrial dysfunction and inflammatory lesions in patient 1 were significantly ameliorated by riboflavin supplementation, which restored the stability of ETFA/ETFB. Our study discovered that mutations in MBTPS1 resulted in a new entity of CAOP syndrome and elucidated the mechanism of the mutations in the new disease.

2) Article Spotlight: Non-oxidative pentose phosphate pathway controls regulatory T cell function by integrating metabolism and epigenetics
Abstract

Regulatory T (Treg) cells are critical for maintaining immune homeostasis and preventing autoimmunity. Here, the authors show that the non-oxidative pentose phosphate pathway (PPP) regulates Treg function to prevent autoimmunity. Deletion of transketolase (TKT), an indispensable enzyme of non-oxidative PPP, in Treg cells causes a fatal autoimmune disease in mice, with impaired Treg suppressive capability despite regular Treg numbers and normal Foxp3 expression levels. Mechanistically, reduced glycolysis and enhanced oxidative stress induced by TKT deficiency triggers excessive fatty acid and amino acid catabolism,resulting in uncontrolled oxidative phosphorylation and impaired mitochondrial fitness. Reduced α-KG levels as a result of reductive TCA cycle activity leads to DNA hypermethylation, thereby limiting functional gene expression and suppressive activity of TKT-deficient Treg cells. The authors also find that TKT levels are frequently downregulated in Treg cells of people with autoimmune disorders. Our study identifies the non-oxidative PPP as an integrator of metabolic and epigenetic processes that control Treg function.

3) Article Spotlight: Effect of heat and hypoxia stress on mitochondrion and energy metabolism in the gill of hard clam
Abstract

Aquatic animals suffer from heat and hypoxia stress more frequently due to global climate change and other anthropogenic activities. Heat and hypoxia stress can significantly affect mitochondrial function and energy metabolism. Here, the response and adaptation characteristics of mitochondria and energy metabolism in the gill of the hard clam Mercenaria mercenaria under heat (35 ◦C), hypoxia (0.2 mg/L), and heat plus hypoxia stress (35 ◦C, 0.2 mg/L) after 48 h exposure were investigated. Mitochondrial membrane potentials were depolarized under environmental stress. Mitochondrial fusion, fission and mitophagy played a key role in maintain mitochondrion function. The AMPK subunits showed different expression under environmental stress. Acceleration of enzyme activities (phosphofructokinase, pyruvate kinase and lactic dehydrogenase) and accumulation of anaerobic metabolites in glycolysis and TCA cycle implied that the anaerobic metabolism might play a key role in providing energy. Accumulation of amino acids might help to increase tolerance under heat and heat combined hypoxia stress. In addition, urea cycle played a key role in amino acid metabolism to prevent ammonia/nitrogen toxicity. This study improved our understanding of the mitochondrial and energy metabolism responses of marine bivalves exposed to environmental stress.

If you want to know more about metabolite absolute quantification, please visit our website.

Metware Biotechnology Inc (Metware) is a metabolomics CRO focusing on developing and applying innovative metabolome technologies to life science and health research. With over 40 mass spectrometers, over 20000 sq ft. of lab space. Metware library is committed to providing effective and timely metabolomics services for basic and clinical research worldwide.

Quantitative Lipidomics for Plants(2023年12月06日)

metwarebio — 2023-11-22T10:54:18+0900

https://www.metwarebio.com/quantitative-lipidomics-service-for-plants/

Lipidomics Applications
Metware Biotechnology uses Widely Targeted Metabolomics technology to build a database specific for plant lipids and performs qualitative analysis from the mass spectrometry data of many biological materials, followed by semiquantification using QQQ and MRM to provide a comprehensive analysis of lipids in plant samples. This process is applicable to many plant research questions in growth and development as well as stress response.

Technology Introduction
A class of organic compounds known as lipids are easily soluble in non-polar solvents but insoluble in water. The lipidome, as a subtype of metabolome, focuses on annotating and quantifying lipids in samples in order to understand their functions in plant growth and development. Important cellular processes, such as material transport, energy metabolism, information transfer, and metabolic regulation, all depend on lipids. With the help of Widely Targeted Metabolomics and a specific database of more than 1747 plant lipids, our Quantitative Lipidomics Service for Plants allows high throughput lipidomics analysis in all types of plant materials.

Technical Features of Quantitative Plant Lipidomics Service for Plants

Detection Platform
LC-MS for metabolite detection, both qualitative and quantitative accuracy.

Comprehensive Database
Proprietary metabolite database for plant species, with 1747 lipid compounds in the database.


Rich Variety of Substances
Covering 6 major types of fatty acyl, glycerol esters, glycerophospholipids, sphingolipids, sterol esters, and isopentenol lipids.

Stable Detection
10 major quality control processes for providing high quality data.

Leading in the Number of Detected Substances
Between 800-1000 lipids detected in a typical run.

Comprehensive Analysis
Service comes with 12 analysis content and 22 display figures.

Post-sale Support
Comprehensive interpretation of the final report.

Applications of Quantitative Lipidomics for Plants Service
Plant growth and development.

Abiotic and biotic stresses.

Food quality and processing.
Analysis Cases Display of Quantitative Lipidomics for Plants Service
Amelioration of Chilling Injury by Fucoidan in Cold-Stored Cucumber via Membrane Lipid Metabolism Regulation

Journals: foods;

Research Map:

Zhang Y, Lin D, Yan R, Xu Y, Xing M, Liao S, Wan C, Chen C, Zhu L, Kai W, Chen J, Gan Z. Amelioration of Chilling Injury by Fucoidan in Cold-Stored Cucumber via Membrane Lipid Metabolism Regulation. Foods. 2023 Jan 8;12(2):301.
Sample Requirements of Quantitative Lipidomics for Plants Service

Sample requirements
Sample TypesFresh SampleDry SampleBiological Repetition
TissueStems, buds, nodes, leaves, flowers, fruits, roots, healing tissues600mg50mg3-6
Note: Packed into suitable size centrifuge tubes (10mL/15mL), snap frozen in liquid nitrogen for 5-10min, stored in -80℃ refrigerator and transported on dry ice.

If you want to know more about metabolome project, please visit our website.

Widely-Targeted Metabolomics for Plants(2023年12月05日)

metwarebio — 2023-11-22T10:52:34+0900

https://www.metwarebio.com/plants-widely-targeted-metabolomics-service/

Widely-Targeted Metabolomics for Plants is an innovative metabolomics method that combines the benefits of untargeted metabolomics and targeted metabolomics to achieve high-throughput identification and quantification of a wide variety of metabolites associated with plants. As part of our continual R&D, Metware's plant metabolomics database (MWDB) now houses over 30,000 plant metabolite analysis data to allow more extensive annotation and quantification from plant samples.

Technology Introduction
This methodology is especially useful in plant metabolism research where the number of metabolites far exceeds those in animals. Metware's patented Widely-Targeted Metabolomics approach stands out from many others with features such as:

Using high-resolution mass spectrometers to allow the unbiased collection of MS/MS spectrum data;

Highly curated in-house metabolomics database (MWDB) that provides accurate metabolite identification;

Using MRM analysis from QQQ to accurately quantify metabolites in each sample.

Technical Features of Widely-Targeted Metabolomics for Plants

Large Curated Database
Collected ultra-high sensitivity data of over 30,000 metabolites from over 1000 plant species. Each sample can typically identify 1000-2000 metabolites.

Rigorous Quality Control
A mature quality control system monitoring all aspects of experimentation from sample preparation to data collection.

Experienced
Stable and tested sample preparation protocol stemming from processing over 1 million samples a year. Over 10 different plant tissues from 1000 plant species has been processed through our lab.

Accurate Identification
Combining AB SCIEX QTOF 6600+ ultra-high resolution mass specltrum with our in-house curated database to achieve accurate metabolite identification.

Accurate Quantification
Using MRM mode from AB SCIEX Triple Quad 6500+ to achieve accurate relative quantification of metabolites.

Publication Tested Results
Results of our services have been cited in over 500 publications with a combined lF over 3000.

Applications of Widely-Targeted Metabolomics for Plants

Applications: Research In Plant Development

Applicable for identifying metabolic changes in different stages of plant growth such as seed germination, stem elongation, flower development, pollination, and fruit development.

Article Spotlight: MicroTom Metabolic Network: Rewiring Tomato Metabolic Regulatory Network throughout the Growth Cycle

This study integrated high-resolution Spatio-temporal metabolome and transcriptome data to systematically explore the metabolic landscape across 20 major tomato tissues and growth stages. Based on their MicroTom Metabolic Network, they divided 540 detected metabolites and their co-expressed genes into 10 distinct clusters based on their biological functions. This enabled them to construct a global map of the major metabolic changes that occur throughout the tomato growth cycle and dissected the underlying regulatory network. Furthermore, they identified novel transcription factors that regulate the biosynthesis of important secondary metabolites such as steroidal glycoalkaloids and flavonoids.

If you want to know more about plant metabolite detection and plant metabolite quantification, please visit our website.

Metware library is propelling discoveries and transforming industries in life science, biotech, and pharmaceutical research and development. A partnership with Metware Biotechnology goes beyond data and reports. Our specialists accompanies you from design to discovery. Contact us to see how we can be a part of your solution.

Plant Hormone Assay(2023年12月04日)

metwarebio — 2023-11-22T10:51:14+0900

https://www.metwarebio.com/plant-hormone-targeted-metabolomics-service/

Phytohormone is also known as plant natural hormone or plant endogenous hormone. It refers to some trace organic compounds produced in plants that can regulate (promote or inhibit) their own physiological processes. Based on LC-MS/MS technology, Metware Biotechnology has developed a professional method for the plant hormone detection, covering 108 kinds, such as ABA, Auxin, CK, Ethylene, GA, JA, SA and SL.

Benefits of Plant Hormone Analysis, Plant Hormone Assay
1. Complete variety:

108 kinds of plant hormones can be detected.

2. High sensitivity:

Using AB Sciex QTRAP 6500
LC-MS platform, The sensitivity can reach ng/mL level.

3. Rich experience:

More than 2000 project experiences
covering 500+ species, and have been published in Cell, Nature Communications, The Plant Journal and other journals.

4. Quantitative accuracy:

External standard + internal standard
method, linear relationship of the standard curve is above 0.99.

Applications of Phytohormone Assay
Research on pant growth, reproduction and development (differentiation, maturation, aging, apoptosis etc.) ;

Abiotic stress research (drought resistance, cold resistance, etc.)
;
Biological stress response research (disease and insect resistance, etc);

Plant hormone interactions.

Plant Hormone Assay FAQs

What are the methods to detect plant hormones? What are the differences between them?

liquid chromatography (HPLC), and liquid mass spectrometry (HPLC-MS).

ELISA method: The enzyme immunoassay for phytohormone metabolomics mainly consists of encapsulated antibodies on solid phase carriers (direct method) and encapsulated antigens (indirect method). The direct method uses free antigens and enzyme-labeled antigens to compete with adsorbed antibodies, and the indirect method uses free antigens and adsorbed antigens to compete with free antibodies.

High performance liquid Chromatography (HPLC): using liquid as the mobile phase and a high-pressure infusion system, the separation is achieved by using the small differences in the adsorption or partition coefficients of substances in the two phases.

Liquid mass spectrometry (HPLC-MS): also called liquid chromatography-mass spectrometry (LC-MS), fully combines the high separation ability of HPLC and the strong qualitative ability of MS. After the sample is separated in the chromatography, it enters the mass spectrometry, which analyzes the mass-to-charge ratio of the measured sample ions.
Detection methodPre-treatment requirementsDifficulty of operationDetection throughputCostsInstructions
ELISALowEasyLargeLowSuitable for large number of samples with low requirements for data accuracy
HPLCHighDifficultSmallHighSuitable for high content of IAA, ABA, SA and other hormones, but not for low content of GA, SL, JA, BR and other hormones
HPLC-MSVery highExtremely DifficultSmallVery highThe detection accuracy can reach ng level, which is suitable for customers who require high data accuracy and high score articles

If you want to know more about plant hormone targeted metabolomics, please visit our website.

More details of metabolome project, please contact us.

Metware Multiomics Services(2023年12月03日)

metwarebio — 2023-11-22T10:49:35+0900

https://www.metwarebio.com/resequencing-metabolome-services/

What Is Multi-Omics?
Research in a biological system requires a holistic approach that integrates various data such as genomics, transcriptomics, proteomics, and metabolomics. Looking at these data together will be the key to understand processes in cancer, agricultural breeding, biological development, and pharmaceutical discovery. The expert team at Metware Library brings experience in all levels of Omics fields to help you address your research goals.

Discover Metware Multi-Omics Services
Microbiome+Metabolome
Transcriptome+Metabolome
Resequencing+Metabolome
Eukaryotic mRNA-Seq

General Knowledge of Multiomics Service
Multiomics aims to combine or integrate various multiomics data, including those from next generation sequecing and mass spectrometry, to identify correlations or interactions between genes, genomic variations, and/or metabolites and thereby providing a more holistic view of a biological system.

Benefits of Multiomics Service

Holistic View of Biological System
Not limiting your research to a particular aspect.

01

Narrow Down Your Search Space
Correlating different data can often narrow down the pathway that are strongly associated with the experiment.

02

Biological Resource
Multiomics generates massive amount of data that are useful to the community and allows data mining for other research questions.

03
Applications of Multi Omics Data Analysis Services
Cancer
Metabolic Disorders
Infectious Diseases
Agriculture & Breeding
Microbiome

As one of multi omics companies, we will do our best to meet all the needs of customers.

Microbiome Metabolomics Sequencing Service(2023年12月02日)

metwarebio — 2023-11-22T10:48:44+0900

https://www.metwarebio.com/transcripto-memetabolome-services/

Gut Microbiome Sequencing Service
Microbiome often gives an indication of the health of the system, whether the system is from human gut, water reservoir, or agriculture soil. The microbes in the system exert its functions by producing metabolites that interact with the host or nearby species. Understanding the makeup of the microbiome metabolite profiling is increasingly important. Metabolomics is primary technology that can detect and quantify large number of metabolites in a high throughput fashion.

Case Study: Gut Microbiome Metabolomics Changes in Mice With Acute Vestibular Deficit (Li et al., Front Cell Infect Microbiol 2022)
Gut microbiota and the brain communicate via various routes, forming the microbiota–gut–brain axis and thereby modulates psychiatric conditions by producing neurotransmitters and short-chain fatty acids. The authors hypothesized that the gut microbiota may be involved in the comorbidity of vestibular deficit and anxiety and thus constructed a unilateral labyrinthectomy mouse model to simulate vestibular deficit.

Unilateral Labyrinthectomy Shaped the Gut Microbiome Composition
Using 16S rRNA sequencing, a total of 1,698 OTUs were detected from the Silva 138 database and 1,695 (99.82%) OTUs were annotated. Bacteroidota was the predominant phylum in the mouse’s gut microbiome, followed by phyla Firmicutes and Verrucomicrobiota. However, the relative abundance of Verrucomicrobiota and Proteobacteria was much lower in UL group compared to those in CON and SS groups. Comparing the gut microbial community between the UL and SS groups, the authors found the abundance of Lachnospiraceae NK4A136 group, Prevotella, Parasutterella, Odoribacter and Roseburia were significantly different between the two groups.

Unilateral Labyrinthectomy Altered the Gut Metabolome
The gut metabolomics and sequencing profiles were determined by LC-MS. Sixty-six differential metabolites were detected in the CON versus SS group, and 86 were detected in the SS versus UL group. The levels of 25 metabolites increased significantly, while those of 41 metabolites decreased significantly, in the SS group compared to the CON group. In the UL group, the levels of 19 metabolites increased significantly while those of 67 decreased significantly compared to the SS group.

Correlations Between the Gut Microbiota and Metabolites in the Unilateral Labyrinthectomy Mouse Model
Spearman's correlation coefficient was calculated to determine the functional correlations between the changes in the gut microbiome and metabolites profiles. The results showed that the oleamide level was negatively correlated with Odoribacter abundance (r = -0.891, p-value = 0.00023). The butyric acid level was positively correlated with Parasutterella abundance (r = 0.845, p-value = 0.00105). The propanoate level was negatively correlated with Prevotella abundance (r = -0.809, p-value = 0.00256). The 20-hydroxyeicosatetraenoic acid (20-HETE) level was positively correlated with Parasutterella abundance (r = 0.836, p = 0.00133). Taken together, the authors described that the gut microbiome composition of mice and gut metabolome are significantly altered after unilateral labyrinthectomy. Moreover, the differential genus and metabolites found in the gut of the mice in the UL group were in close relation to the anxiety regulation of the animals.

From targeted assays of specific metabolites to global metabolite profiling, Metware library has developed services that can satisfy every project, all the while keeping the most important in mind: data quality. Not sure which services work for you? Contact us to speak with one of our specialists and let us help you design a metabolomics project suitable for your research and development.

Microbiome+Metabolome(2023年12月01日)

metwarebio — 2023-11-22T10:47:39+0900

https://www.metwarebio.com/microbiome-metabolome-services/

There are a large number of microorganisms in or on the body of animals. Each gram of intestinal content contains more than 10 billion bacteria. These bacteria are in close contact with body cells, exchange energy substances, and transfer information to each other. Furthermore, they participate closely with body growth, development, digestion, absorption, nutrition, immunity, biological antagonism, and other aspects. These microorganisms interact closely with the host mainly through small-molecule metabolites.

Technology Introduction of Microbiome Biomarker Detection Service+Metabolome Services
There are a large number of microorganisms in or on the body of animals. Each gram of intestinal content contains more than 10 billion bacteria. These bacteria are in close contact with body cells, exchange energy substances, and transfer information to each other. Furthermore, they participate closely with body growth, development, digestion, absorption, nutrition, immunity, biological antagonism, and other aspects. These microorganisms interact closely with the host mainly through small-molecule metabolites. Microorganisms can synthesize, regulate, and degrade a large number of small molecules, thereby providing functional complements to the host's metabolism. In addition, bacterial genomes contribute to primary metabolites production and regulation of secondary metabolites that affect host physiology in multiple ways, including fatty acids, vitamins, neuroactive metabolites, and amino acids with beneficial effects ranging from epithelial homeostasis, immune cell development, and neuronal regulation to nutrient digestion. Using 16S/metagenomics to study microorganisms, combined with metabolome detection, can systematically study the role and function of microorganisms.

If you want to know more about biomarker for breeding, please visit our website.

From targeted assays of specific metabolites to global metabolite profiling, Metware Biotechnology has developed services that can satisfy every project, all the while keeping the most important in mind: data quality. Not sure which services work for you? Contact us to speak with one of our specialists and let us help you design a metabolome project suitable for your research and development.

Applications of Untargeted Metabolomics(2023年07月03日)

metwarebio — 2023-06-28T17:23:39+0900

https://www.metwarebio.com/applications-of-untargeted-metabolomics.html

Non-targeted metabolomics is a research method that involves systematic and comprehensive analysis of the entire metabolome to obtain large amounts of metabolite data, and subsequently identify differential metabolites, based on limited relevant research and background knowledge. Currently, non-targeted metabolomics is widely used in the discovery of biomarkers, disease diagnosis, and mechanism research. It provides new ideas and directions for solving bottleneck problems in some disease mechanism research.

1. Non-targeted metabolomics service reveals potential targets for cardiovascular disease treatment

Elevated levels of trimethylamine N-oxide (TMAO) cause abnormal lipid accumulation, increasing the risk of developing cardiovascular disease. Non-targeted metabolomics analysis of patients with cardiovascular disease showed a significant increase in TMAO levels in their plasma. Choline-containing substances ingested from food can be metabolized to TMA in the gut microbiome via choline TMA lyase, which is then further metabolized to TMAO in the liver through flavin-containing monooxygenase 3 (FMO3) catalysis.

Further research revealed that transgenic mice overexpressing FMO3 had significantly higher TMAO levels in their plasma under the same high-choline diet conditions as wild-type mice. Mice with silenced FMO3 expression using antisense oligonucleotide technology had significantly lower TMAO levels in their plasma than the control group, indicating that FMO3 can further affect the pathogenesis of atherosclerosis and other cardiovascular diseases by regulating plasma TMAO levels. The above research based on non-targeted metabolomics suggests that FMO3 may be a potential target for the treatment of cardiovascular disease.

2. Non-targeted metabolomics reveals potential targets for cancer treatment

Using capillary electrophoresis-mass spectrometry, untargeted metabolomics analysis was conducted on neuroglioma samples, revealing significantly higher levels of taurine in the tumour tissue than in the adjacent control tissue, positively correlated with glioma grading (malignancy). Molecular docking simulations showed that taurine can competitively inhibit the catalytic activity of proline hydroxylase, affecting the degradation of hypoxia-inducible factor-1α and promoting its nuclear entry, thereby initiating the expression of many tumour-related genes.

Thus, increasing intracellular taurine content can promote tumor occurrence and development. The study found that intracellular taurine is synthesized from cysteine as a precursor, and cysteine needs to be transported into the cell through cysteine or glutamate reverse transporter. Inhibiting this transporter can block the biosynthesis of taurine, thereby inhibiting the proliferation and invasion of tumor cells. Therefore, the cysteine or glutamate reverse transporter may be a potential target for the treatment of neuroglioma. In a study of acute myeloid leukemia, a combination of tyrosine kinase inhibitors and taurine led to a significant reduction in leukemia cell viability, suggesting that taurine may also be a potential target for leukemia treatment.

If you want to know more details of targeted vs non targeted metabolomics, please visit our website.

From targeted assays of specific metabolites to global metabolite profiling, Metware Library Biotechnology has developed services that can satisfy every project, all the while keeping the most important in mind: data quality. Not sure which services work for you? Contact us to speak with one of our specialists and let us help you design a metabolomics project suitable for your research and development.

Thousands of Metabolites with One Assay(2023年07月08日)

metwarebio — 2023-06-28T17:21:31+0900

https://www.metwarebio.com/thousands-of-metabolites-with-one-assay.html

Thousands of Metabolites with One Assay
Last week our proprietary approach of Widely-Targeted Metabolomics was profiled in the May Issue of MetaboNews, and we shared some of the technology benefits in our previous article. We have discussed accurate annotation and quantification, large curated database and high data reproducibility. Here we want to highlight some capabilities and features, which we did not cover last week.

As discussed, widely-targeted metabolomics is a two-step process. First, nontargeted metabolomics using high-resolution mass spectrometers is performed to collect primary and secondary mass spectrometry data from animal, plant or human samples. These data are compared against databases (public database and in-house library) for high throughput metabolite identification. After that, targeted metabolomics analysis using low-resolution QQQ mass spectrometers in MRM mode is performed to collect mass spectrometry data and metabolite quantity from each sample based on the metabolites detected from the high-resolution mass spectrometer.

Widely-targeted metabolomics is broadly used for biomedical as well as agri-food applications. We have studies human and animal samples, including plasma, serum, feces, and a variety of tissues (liver, kidney, intestine, brain, placenta, etc.). In animal and human samples this assay detected on average 1800 metabolites in plasma or serum samples, 2000 metabolites in fecal samples, and 1800 metabolites in tissue samples (see image below). The range of metabolites was detected, spanning essential categories such as amino acids, organic acids, nucleotides, carbohydrates, fatty acids, glycerophospholipids, and hormones.

This technology was originally developed for plant samples, and we continue to use it for agri-food application with a broad range on plant sample types. Using Widely-Targeted Metabolomics technology, Metware Library Bio has assayed over 500 plant species. The number of detected metabolites has grown from on average 800 metabolites to 1900 metabolites. Of these, we can distinguish about 700 primary metabolites and 1200 secondary metabolites, which are a diverse set of compounds that confer competitive advantage to the plant’s environment1-3. Our databases can assist in the development of new plant-based products or therapeutic agents based on these secondary metabolite detections4,5.

Over the interactions with researchers, clinicians, and breeders, MetwareBio has taken their insights on how they want to visualize metabolomics data and developed a comprehensive tool set for the research community to use. The tools offered in Metware Cloud include individual statistical analytical and visualization tools (e.g. PCA, heatmap, violin plots); it also provides end-to-end differential analysis. The data input is system agnostic such that you may upload the data for analysis if it adheres to the input format. Any services performed at MetwareBio will have automatic access to MetwareCloud. It is currently free to register and to use by the public as well. More information can be found athttps://cloud.metwarebio.com.

More details about our assays portfolio (including sample reports) can be found on other pages of this website. And by connecting with us on Twitter and LinkedIn you will always stay updated on our promotional offers, events where you can meet us and new publications on metabolomics, lipidomics and multiomics.

More details of metabolome project, please visit our website.

Metabolomics and Lipidomics with 20% off(2023年07月07日)

metwarebio — 2023-06-28T17:21:00+0900

https://www.metwarebio.com/metabolomics-and-lipidomics-with-20-off.html

The most comprehensive duo will have you covered! Don’t miss our June Special – a limited time offer for 20% off TM Widely-targeted metabolomics and 20% off Quantitative Lipidomics.

Our proprietary approach - TM Widely-Targeted Metabolomics is the combination of untargeted metabolite profiling followed by the accurate (relative) quantification of the identified metabolites. It is used for human and animal samples analysis, and as such, it is mainly used for biomedical research. In the meantime, we have examples of its successful application in agri-food area too: with seafood and livestock samples. The curated database contains 280,000 metabolites, which includes 3000 metabolites not found in public databases, allowing for more annotations from high-resolution mass spec data. As one of metabolomics service providers, we have studied human and animal samples, including plasma, serum, feces, and a variety of tissues (liver, kidney, intestine, brain, placenta, etc.). In animal and human samples Widely-Targeted Metabolomics identifies on average 1800 metabolites in plasma or serum samples, 2000 metabolites in fecal samples, and 1800 metabolites in tissue samples. To learn more about Widely-Targeted Metabolomics technology check the last issue of MetaboNews (page 11-17).

As lipids play a vital role in biological systems and processes, we offer Quantitative Lipidomics as a high-throughput targeted approach that simultaneously identifies and quantifies over 4000 lipids. This assay is covering 51 groups of lipids, such as CE, Cer, HexCer, SM, FA, CAR, Eicosanoid, PC, LPC, PE, LPE, PG, LPG, PS, LPS, PI, TG, DG. Quantitative Lipidomics is used in biomedical research, food and animal science, pharmaceutical research, environmental science and many other applications.

Please note the following details of the promotional offer:

A minimum of twelve (12) samples per work order is required. Work orders or quotes must be signed within the promotional period to be eligible for this offer. Only sample types acceptable for TM Widely-Targeted Metabolomics or Quantitative Lipidomics are eligible. See sample requirements for details. This offer cannot be combined with any other offers, promotions, or discounts. The promotional period starts on June 1, 2023, and ends on June 30, 2023. Other conditions apply. Metware Biotechnology, the metabolomics analysis service company, reserves the right for final interpretation. Contact us for further details.

More details about our assays’ portfolio (including sample reports) can be found on other pages of this website. And by connecting with us on Twitter and LinkedIn you will always stay updated on our promotional offers, events where you can meet us and new publications on metabolomics, lipidomics and multiomics.

Metabolomics is propelling discoveries and transforming industries in life science, biotech, and pharmaceutical research and development. A partnership with Metware Library Biotechnology goes beyond data and reports. Our specialists accompanies you from design to discovery. Contact us to see how we can be a part of your solution.

More details of metabolome project, please visit our website.

Pioneer of Widely-Targeted Metabolomics(2023年07月06日)

metwarebio — 2023-06-28T17:20:09+0900

https://www.metwarebio.com/pioneer-of-widely-targeted-metabolomics.html

Metware library’s proprietary Widely-Targeted Metabolomics is profiled in the May issue of MetaboNews (see page 11). We would like to highlight here some of the basics and major benefits of this technology.

Metabolomics has a long history of development, with commonly seen approaches such as targeted and untargeted metabolomics. Each of them has its strengths and weaknesses in its throughput, qualitative detection, and quantitative analysis.

Untargeted metabolomics, using DDA (data dependent acquisition) mode from high-resolution mass spectrometers offer precise molecular mass measurement and allows detection of thousands of metabolites in a single run. Targeted metabolomics, using MRM (multiple reaction monitoring) mode allows highly sensitive detection and accurate quantification. These methods are not without limitations and challenges. For untargeted metabolomics, it heavily depends on databases, which contain limited endogenous metabolites from plants or animals, resulting in a limited ability to identify metabolites. Secondly, high-resolution mass spectrometry is less sensitive (by 1-2 orders of magnitude) than low-resolution mass spectrometry, making it difficult to detect low-level metabolites. Lastly, many TOF (Time of Flight) mass spectrometers suffer from dead time problems in their operation mode, leading to inaccurate metabolite quantification. For targeted metabolomics, its disadvantage lies in the limitation of its detection mode, allowing the detection of only a few dozen metabolites in a single run (low throughput), and its dependence on chemical standards for the qualitative identification and quantification of metabolites.

These challenges propelled us to develop the Widely-Targeted Metabolomics technology, a process that combines DDA and MRM data acquisition modes based on Q-TOF and QQQ (triple quadrupole) mass spectrometers. This process was also made possible by the construction of a large, curated database for animals, plants, and humans, allowing for accurate and high-throughput detection of metabolites with ultra-sensitivity and wide coverage.

Widely-Targeted Metabolomics was initially developed to create an exclusive database of endogenous metabolites in paddy rice to upgrade the throughput of detected metabolites and assist in studying biological problems1. Since then, it has been refined into a metabolomics assay based on a multi-species in-house database. This technique uses the MIM-EPI (Multiple Ion Monitoring–Enhanced Product Ions) mode of a low-resolution mass spectrometer to obtain secondary mass spectra of metabolites. Meanwhile, it refines the parameters required for metabolite identification by utilizing primary and secondary qualitative results from high-resolution mass spectrometry and external sources, such as public databases, standard sample data, and literature. This process culminates in the construction of an MS2 database. The MRM mode is then utilized to optimize collision energy and de-clustering potential for metabolite detection and to select the appropriate Q3 (fragment ion) as the quantitative ion for analysis. By establishing a species-specific endogenous metabolite database, this technique ensures accurate metabolite identification and quantification while greatly improving metabolite detection efficiency.

Widely-targeted microbiome metabolomics is a two-step process. First, untargeted metabolomics using high-resolution mass spectrometers is performed to collect primary and secondary mass spectrometry data from mixed biological samples. These data are compared against databases (public database + in-house library) for high throughput metabolite identification. Then, targeted metabolomics using low-resolution QQQ mass spectrometers in MRM mode is performed to collect mass spectrometry data and metabolite quantity from each sample based on the metabolites detected from the high-resolution mass spectrometer. As a result, this two-step process achieves the following features:

a) Accurate annotation
Widely-targeted metabolomics analysis involves collecting secondary spectra of metabolites in a biological sample using high-resolution mass spectrometry and comparing them with standard spectra in the database. The alignment to the metabolite database is performed using MultiQuant (v 3.0.3) and proprietary software that takes into consideration the retention time (RT), MS1, and MS2 information. The confidence of the alignment is scored using the dot product method.

b) Accurate quantification
The MRM mode of a QQQ mass spectrometer allows highly specific screening of characteristic ion pairs and reduces the interference from other ions. The MRM mode also boasts a wide linear dynamic range spanning 4 to 5 orders of magnitude, which facilitates the detection of metabolites across a wide range of concentrations in complex samples. Data processing from MRM scanning is also simplified due to predetermination of selected metabolites.

c) Large Curated Database

Plant database:

Plant metabolites are generally under-represented in the public databases. MetwareBio has constructed a plant metabolite specific database and has been expanding over the last 6 years. It houses over 30,000 plant metabolites to-date that includes primary metabolites (sugars, amino acids, lipids, and nucleotides) and secondary metabolites such as flavonoids, phenolic acids, terpenoids, and alkaloids.

High reproducibility

The CV values of internal standards across different studies showed that Widely-Targeted Metabolomics is a highly stable assay. Our internal tests showed that quantification of 6 internal standards across thousands of samples remain stable (within 15% CV, see one of the previous posts). Widely-Targeted Metabolomics technology is particularly suited for multi-center, multi-stage biomarker discovery studies. This technology has been applied to identify biomarkers for distinguishing intracranial aneurysm2, COVID-19 severity3, and follicular development4.

Owing to the large plant metabolite database, Widely-Targeted Metabolomics has also been applied to numerous studies for identifying metabolite biomarkers associated with important agronomic traits, including fruit mass in tomato5, plant architecture and height in foxtail millet6, and fruit development modulation in mango7.

Stay tuned for our next blog post where we will talk more about Widely-Targeted metabolomics detection results in human and animal samples, as well as in plant samples.

Connect with us on Twitter and LinkedIn to stay updated on our promotional offers, events, and new publications on metabolomics lipidomics and multiomics.

More details of metabolome project, please visit our website.

Buckwheat Metabolome - New Publication(2023年07月05日)

metwarebio — 2023-06-28T17:19:24+0900

https://www.metwarebio.com/buckwheat-metabolome--new-publication.html

Website Post: Monday, October 31, 2022

Buckwheat Metabolome – New Publication

We are pleased to highlight a new open access publication by our collaborators from Europe and China “Rewiring of the Seed metabolome during Tartary buckwheat domestication”. This paper was published in Plant Biotechnology Journal, and it showcases the first large-scale metabolome profiling in Tartary buckwheat, which will help breeding programs to increase levels of bioactive compounds and improve human diet.

2.pngTartary buckwheat contains diverse bioactive compounds, such as flavonoids, anthraquinones and phenolic acids. Rutin, as one of the flavonoids of Tartary buckwheat, has a therapeutic value for cardiovascular disorders such as hypertension, hyperlipidemia and myocardial infarction. One of the naturally occurring anthraquinone derivatives (emodin) is known to have an anti-cancer effect. Furthermore, buckwheat has a well-balanced composition of amino acids, dietary fibers, minerals and vitamins. Given the nutritional and biomedical characteristics, Tartary buckwheat is considered an ideal functional food with diverse health benefits.

Crop domestication usually focuses on visible parameters, such as yield, seed shattering, grain size and quality, etc. In the meantime, metabolic changes invisible to the naked eye impact the content of many bioactive compounds in the final product. This paper describes the comprehensive metabolic profiling and a subsequent metabolic genome-wide association study (mGWAS) of 200 Tartary buckwheat accessions. A total of 540 differential metabolites were detected among three groups, and 1253 tomato mGWAS signals were found. Among them, 384 mGWAS signals corresponding to 336 metabolites were identified to be subjected to domestication.
5.pngThe authors mention that not only the agronomic traits changed, but the metabolites contents are affected during the domestication. In this metabolomics analysis authors identified bioactive compounds such as catechins, fagopyritols, salicylic acid and emodin, whose levels changed during Tartary buckwheat domestication, with multiple metabolism associated genes being seen to follow similar pattern. It was noted that the decrease of salicylic acid level results in the diminished disease resistance. The decrease of glycosylated emodin observed from the metabolomics analysis points to the negative impact of the domestication on this functional compound.

The research team used our widely-targeted metabolomics approach, which combines high-throughput metabolite identification using Metware Library Database (MWDB) and sensitive quantitative analysis using multiple reaction monitoring (MRM) mode. The author stated that “widely targeted metabolomics studies have not only comprehensively defined the natural variation in metabolite abundance in rice, maize and wheat, but also revealed the metabolite changes that have occurred on the domestication of wheat, tomato and qingke”.

Our USA-based lab offers global and targeted metabolomics analysis service for Agriculture & Breeding, and we currently accept plant samples for the following assays:

If you are interested in further details, please get in touch with us and we would be happy to address your questions.

Basic Knowledge About Metabolomics Service(2023年07月04日)

metwarebio — 2023-06-28T17:18:51+0900

https://www.metwarebio.com/basic-knowledge-about-metabolomics-service.html

Metabonomics (Metabolomics) is an emerging discipline developed in the late 1990s, which is the study of metabolites (endogenous metabolites) after organisms are disturbed (such as genetic changes or environmental changes). The science of types, quantities and their changing laws.

Metabolomics focuses on the study of the metabolic pathways of endogenous metabolites in the whole organism, organ or tissue, the influence of internal or external factors and the law of changes over time. Metabolomics reflects a series of physiological or pathological developmental processes by revealing the overall change trajectory of an organism's metabolism under the influence of internal and external factors.

What are the research methods of metabolomics?
It is determined according to whether there is a research target or direction. When metabolites or metabolic pathways are uncertain, non-targeted metabolomics can be used to find entry points. When there is a target, targeted quantitative research can be used to conduct in-depth research. Lipidomics analysis service techniques can then be used. In addition, the latest, Spectrum Bio, one of the metabolomics service providers, also provides metabolomics technology services based on stable isotope tracer technology to study metabolic flux issues.

What are the characteristics of metabolomics?
Metabolism is at the end of systems biology and can better reflect the real situation of the interaction between genes and the external environment. Therefore, it is more applicable to most biological phenotype studies.

Conventional metabolomics only focuses on endogenous compounds, and metabolomics techniques are also used to determine exogenous compounds. Up- and down-regulation of endogenous compounds indicates effects related to disease, toxicity, genetic modification or environmental factors.

High-throughput quantitative and qualitative study of biological small molecule compounds.

The results of endogenous compounds can be used as potential biomarkers for disease diagnosis, drug screening or other typing assessments.

What is untargeted metabolomics and targeted metabolomics?
The metabonomics and metabolomics difference:

Untargeted metabolomics refers to non-targeted metabolomics or discovery metabolomics, which unbiasedly detects and analyzes all small molecule metabolites (generally, the relative molecular weight is less than 1000) at the same time. .

Targeted metabolomics (Trgeted metabolomics) is targeted metabolomics, focusing on qualitative and quantitative detection, analysis and research of set target metabolites.

The metabolome project is the compendium of metabolites in a system. Metabolites are small chemical compounds, such as glucose, vitamins, and flavonoids, that are < 1200 Da. Many metabolites directly impact physiological traits.

Anthocyanin Assay(2023年07月02日)

metwarebio — 2023-06-28T17:15:15+0900

https://www.metwarebio.com/anthocyanin-targeted-metabolomics-service/

Plant anthocyanin is a class of water-soluble pigment compounds that widely exist in plants. Free anthocyanins are rare under natural conditions and mainly exist in the form of glycosides. Metware's Anthocyanin Analysis assay is a targeted LC-MS/MS method that will detect and obtain absolute and semi-quantification of 108 compounds in the anthocyanin metabolic pathway.

Technology Introduction
Anthocyanin detection is an anthocyanin metabolomics approach with accurate identification and quantification of 108 anthocyanidins, which include pelargonidins, cyanidins, delphinidins, peonidins, petunidins, malvidins, procyanidins, among others.

Applications of Anthocyanin Assay Service

Applications: Research In Plant Color

Applicable for identifying metabolic changes in different color plants, such as flower color, fruit color, seed color, stem color, and leaves color.

Article Spotlight: Anthocyanins accumulation and molecular analysis of correlated genes by metabolome and transcriptome in green and purple asparaguses (Asparagus Officinalis, L.).

Asparagus (A. Officinalis L.) is a highly nutritious vegetable crop. Here, three purple asparagus cultivars, namely, Jing Zi-2, Purple Passion, and Pacific Purple, and one green cultivar, namely, Jing Lv-1 were studied. At least 16 kinds of anthocyanins were identified in purple and green cultivars, and peonidin, cyanidin, and their glycoside derivatives were found to be the major anthocyanins. Transcriptome data showed that most anthocyanin biosynthetic genes and at least 5 kinds of transcription factors were significantly differentially expressed significantly between the green and purple cultivars. Dark-treated experiments revealed that anthocyanins are not produced in the absence of light, and both the anthocyanin biosynthetic and regulatory genes were downregulated greatly in the dark, implying that anthocyanins accumulation in asparagus is light-dependent. Overall, the results of this study provide useful information for understanding anthocyanin accumulation and the molecular mechanism of anthocyanin biosynthesis in asparagus.

If you want to know more kinds of metabolome project, please visit our website.

About Us(2023年07月01日)

metwarebio — 2023-06-28T17:14:22+0900

https://www.metwarebio.com/about-metwarebio/

Metware Biotechnology Inc (Metware) is a metabolomics CRO focusing on developing and applying innovative metabolome technologies to life science and health research. With over 40 mass spectrometers, over 20000 sq ft. of lab space, and 450 passionate staff and scientists, Metware is committed to providing effective and timely metabolomics services for basic and clinical research worldwide.

Since its establishment in 2015, Metware has constructed an ever-increasing curated database of metabolites and a proprietary detection methodology. The database now houses over 30,000 plant metabolites and 3000 mammalian metabolites to date. Together with a proprietary ultra-sensitivity high-throughput widely-targeted metabolomics technology and machine learning algorithms, Metware's technical achievements have been presented and published in over 700 publications, including Cell, Nature Genetics, PNAS, Nature Communications, National Science Review, and many other international peer-reviewed journals.

Metabolomics Services We Offer：
Global Metabolite Profiling Service

Global metabolite profiling via LC-MS is often used for detecting metabolites from biological or environmental samples and obtaining relative quantification in an unbiased manner. The main application is to compare the case group with the control group to find metabolites that show significant differences and thereby providing clues to the metabolic pathways and genes that are involved in the process. It is often the first metabolomics assessment in biomarker development, disease pathogenesis, and drug development.

Targeted Metabolomics Service

Targeted metabolomics is an approach to detect specific compound(s) using QQQ Mass Spec and quantify using chemical standards. This process achieve accurate identification and absolute quantification of the target metabolites. In constrast with global metabolomics profiling, targeted metabolomics is highly specific, sensitive, and accurate to quantify the metabolite of interest in the sample.

Lipidomics Services

Lipids is a large class of metabolites in plants and animals (accounting for 70% of metabolites in plasma). It is an essential component in numerous biological functions including membrane structure, energy generation, signalling, gene regulation, and many other develomental processes.

Multiomics Services

Multiomics aims to combine or integrate various omics data, including those from next generation sequecing and mass spectrometry, to identify correlations or interactions between genes, genomic variations, and/or metabolites and thereby providing a more holistic view of a biological system.

Metabolomics Offers Solutions For You
Metabolomics Analysis Service for Agriculture & Breeding

Yield and nutrition is important in agriculture. The threat of food shortages drives agriculture innovations to produce crops with higher yields and higher nutrient value. Metabolomics directly assesses the nutritional value and help identify varieties that are higher yielding, through examining pathways and metabolites that are involved in resistance to pathogens and abiotic stress.

Microbiome Metabolomics Sequencing Service

Microbiome often gives an indication of the health of the system, whether the system is from human gut, water reservoir, or agriculture soil. The microbes in the system exert its functions by producing metabolites that interact with the host or nearby species.

Metabolomics in Cancer Research and Emerging Applications

With the emergence of high-throughput and high-resolution mass spectrometry, metabolomics is coming to the forefront as an essential aspect of cancer research. Many oncometabolites have been used as diagnostic biomarkers, including branched-chain amino acids and 2-hydroxy-glutarate. It has been estimated that hundreds of thousands of metabolites in humans are yet to be discovered and metabolomics is the prime technology for metabolite discovery and biomarker development.

Metabolomics for Infectious Diseases And Immune System

Infectious diseases can happen quickly. The 2019 global pandemic of COVID-19 showed that multi-omics examination and rapid pharmaceutical development are needed to combat infectious diseases. Furthermore, different people can show different symptoms of the same disease. One of the key aspects is the understanding of the metabolic effects after infection and during drug discovery, as metabolites and lipids often provide a readout during illness.

Metabolomics Service for Metabolic Disorders

Metabolic disorders are a group of conditions that increases the risks to stroke, heart disease, and diabetes. With high pressures of work, career development, and unbalanced diet and sleeregimens, metabolic disorders are increasingly common. Active research uses metabolomics in life science research to identify key metabolite features that would provide early indication or identify high-risk population groups.

Why Choose Metware Library Biotechnology?
Since its establishment in 2015, with over 40 mass spectrometers, over 60% R&D technicians, and 450 passionate staff and scientists(CT+BT+IT), Metware has constructed an ever-increasing curated database of metabolites and a proprietary detection methodology. The database now houses over 30,000 plant metabolites and 3000 mammalian metabolites to date. Together with a proprietary ultra-sensitivity high-throughput widely-targeted metabolomics technology and machine learning algorithms, Metware's technical achievements have been presented and published in over 500 publications, including Cell, Nature Genetics, PNAS, Nature Communications, National Science Review, and many other international peer-reviewed journals.

1. With over 20000 sq ft. of lab space, we are certified ISO 9001, including sample center, weighing room, prep room, BSL-2 lab and instrument room.

2. Metware has over 40 mass spectrometers, Mainly covers AB SCIEX QTRAP 6500 plus/AB SCIEX Triple Quad 4500MD/TRACE1300-ISQ7000、Bruker tims TOF flex、Bruker timsTOF Pro 2, etc.

3. The independent innovation and development of 2.2 million metabolite database

4. High-throughput, ultra-sensitive, broad coverage of widely-targeted metabolomics detection methods, machine learning algorithms of metabolic markers.

Metabolomics Offers Solutions For You(2023年01月22日)

metwarebio — 2023-01-17T11:49:35+0900

https://www.metwarebio.com/widely-applicable-metabolomics-service/

Metabolomics is widely applicable across different industries from agriculture to medicine. Understanding the chemical profile from various samples will help resolve what is currently happening and what is being observed. Metware Biotechnology has built its processes to handle different types of samples that can help industries with their metabolomics experiments.

Agriculture & Breeding
Yield and nutrition is important in agriculture, thus understand nutritional value and agronomic traits directly through metabolomics is a critical component in agricultural breeding.

Microbiome
Gut microbiome is considered a host's second genome and the metabolism of gut microbiota is important for the host's defense against pathogens, nutrient breakdown and uptake, and neuronal signaling. Study the metabolic interactions between host and microbiome through metabolomics.

Cancer
Metabolism is an essential component to understand the complexity of cancer and human diseases. Many metabolites from body fluids can be use for diagnosis and instruct proper medication or therapy. Metabolomics is the best technology providing these insights.

Infectious Diseases
Infectious diseases can happen quickly. The 2019 global pandemic of COVID-19 showed that multi-omics examination and rapid pharmaceutical development are needed to combat infectious diseases.

Metabolic Disorders
Human diseases, from chronic pain to acute infectious diseases, often have metabolic readouts that indicate the state of the disease. Metabolomics has been applied to metabolic disorders such as diabetes and obesity to infectious diseases such as tuberculosis and COVID-19.

As a professional metabolomics company, we provide metabolomics test, metabolomics test, metabolomics applications ppt, emerging applications of metabolomics in drug discovery and precision, metabolomics from fundamentals to clinical applications, metabolomics analysis service, etc. For more information about metabolomics applications and what is metabolomics used for, please feel free to contact us!

Untargeted Metabolomics(2023年01月21日)

metwarebio — 2023-01-17T11:49:02+0900

https://www.metwarebio.com/untargeted-metabolomics-service/

The LC-MS untargeted metabolomics is used for unbiased detection of metabolites in samples by liquid chromatography-mass spectrometry and to obtain their qualitative and quantitative information.

Technology Introduction
The main application is for comparing the case group with the control group to find the metabolites and metabolic pathways that show significant differences between groups, which can provide clues and directions for the research in biomarker development, disease pathogenesis, and drug treatment mechanisms.

Technical Features of nontargeted metabolomics Service

Large Curated Database
Collected ultra-high sensitinity data of over 280,000 metabolites. Each sample can typically identify 1500-3000 metabolites.

Comprehensive Identification Strategy
A comprehensive identification of metabolites was performed using four qualitative methods:

Matching to in-house standard database;

Matching to integrated public database;

Matching to AI database;

Identify using the metDNA algorithm.

Rigorous Quality Control
A mature quality control system monitoring all aspects of experimentation from sample preparetion to data collection.

Applications of Untargeted Metabolomics Service
Clinical marker discovery and development

Understanding mechanisms behind disease progression

Studying drug efficacy and toxicity

Environmental toxicology research

Why Untargeted Metabolomics Service Is Used?
Genes will tell you what may happen, metabolites tell you what is happening or has happened (Bill Lasley) Metabolomics is the qualitative and quantitative assessment of metabolites (small chemical molecules<1.5 kda). The metabolites are the downstream product of protein activity as well as the result of interactions with environmental exposures, and thus they are closely related to the phenotype. Over the last decade, metabolomics is coming to the forefront as a powerful tool for understanding disease mechanisms. and identifying biomarkers, and has great potential for clinical translation.

List of Metabolites
Our curated database contains over 280000 metabolites of which over 3000 metabolites are from an in-house standard database over 150,000 metabolites from an integrated public database, and over 130,000 metabolites from Al predicted structural database. The integrated public database includes KEGG and HMDB. Metlin, Mass Bank, Lipid Search, and other common databases.

Analysis Content Display of Untargeted Metabolomics Service
Our complete service includes various data analyses to jump start your research. Below are a few components that you may find in our data analysis report.

Sample Requirements of Untargeted Metabolomics Service

Sample TypeSampleRecommended SampleMinimum SampleMinimum Sample
LiquidPlasma, serum, hemolymph, milk, egg white100μL20μLhuman＞30
animal＞8
Cerebrospinal fluid, tear fluid, interstitial fluid, uterine fluid, pancreatic, fluid and bile, pleural effusion, follicular fluid, corpse fluid, saliva, sputum100μL20μLhuman＞30
animal＞8
seminal plasma, amniotic fluid, prostate fluid, rumen fluid, respiratory, condensate, gastric lavage fluid, alveolar lavage fluid, urine, sweat500μL100μLhuman＞30
animal＞8
TissueAnimal tissue, placenta, thrombus, fish skin, mycelium, nematode, slime, mold protoplasm, cyanobacteria100mg20mghuman＞30
animal＞8
whole body, aircraft (wings). pupae500mg20mghuman＞30
animal＞8
Zebrafish organs, insect organs2010animal＞8
CellAdherent cells1*10^65*10^5human＞30
animal＞8
Escherichia coli and other microorganisms1*10^105*10^8animal＞8
FecesFeces, ilntestinal contents200 mg (wet weight)50 mg (wet weight)human＞30
animal＞8

As a professional metabolomics company, we provide metabolomics research, metabolomics test, lc ms metabolomics analysis, metabolite identification lcms, untargeted metabolomics data analysis, untargeted metabolomics analysis, genomics transcriptomics proteomics metabolomics, etc. For more information, please feel free to contact us!

Transcriptome+Metabolome(2023年01月20日)

metwarebio — 2023-01-17T11:48:24+0900

https://www.metwarebio.com/transcripto-memetabolome-services/

The transcriptome is an important method to obtain gene expression in a biological system, and the metabolome is the basis and direct readout of the system’s phenotype. The metabolites are the final result of gene transcription under internal and external regulation and are the material basis of the observed phenotype. In the era of systems biology research, biological processes and gene regulatory networks are complex and dynamic. It is often insufficient to use a single dataset to study systems biology. Correlating transcriptomic data that has a large number of differentially expressed genes with differential metabolites detected by metabolomics can pinpoint key genes, metabolites, and metabolic pathways that are closely associated with internal changes in the system, and thereby explain biological problems in a more holistic approach.

Technology Introduction of transcriptomics proteomics metabolomics Services
Correlating transcriptomic data that has a large number of differentially expressed genes with differential metabolites detected by metabolomics can pinpoint key genes, metabolites, and metabolic pathways that are closely associated with internal changes in the system, and thereby explain biological problems in a more holistic approach.

Case Study: The Cardamine Enshiensis Genome Reveals Whole Genome Duplication And Insight Into Selenium Hyperaccumulation And Tolerance (Huang Et Al., Cell Discovery 2021)

To better understand the mechanisms of Se tolerance in Cardamine enshiensis, the authors constructed the 443Mb genome for C. enshiensis and performed RNA-seq and Widely-Targeted Metabolomics on seedlings treated with water (control) or 400uM sodium selenite.

Mechanisms of Se tolerance and hyperaccumulation in C. enshiensis

In total, 29,671 differentially expressed genes were identified and a total of 558 metabolites were identified in the leaf tissue of C. enshiensis, of which 127 were differential metabolites. The authors found 10 flavone-related metabolites were altered between the two groups, indicating that flavones play a pivotal role in Se tolerance. KEGG analyses showed the significantly enriched pathways were associated with the biosynthesis of secondary metabolites and flavone/flavonoid/flavonol compounds. A Pearson’s correlation coefficient threshold of r > 0.8 was used to identify the metabolites that were significantly correlated with each gene and the results revealed that 175 transcripts were highly correlated (R2 > 0.96) with tricetin O-malonylhexoside and amentoflavone.

Sample Requirements of transcriptomic and metabolomic data integration Services

Sample TypeMinimum requirement per sampleStorage and transportation
Serum, Plasma, cerebrospinal fluid200ulFor LCMS
Snap freeze in liquid nitrogen.
Store in -80C.
Ship with dry ice.

For RNAseq
Immerse tissues in 5x RNAlater.
Prepare whole blood with 3x Trizol
Resuspend cells with 1ml TRIzol for every 5x106 cells.
Snap freeze materials in liquid nitrogen and store all materials in -80C
Whole blood2ml
Urine500ul
Tissue300mg
Cultured Cells1 x 107 cells
Fecal elements, intestinal contents1g
Rumen fluid, fermentation fluid, tissue fluid1g of pellet
Plant materials3g

As a professional metabolomics company, we provide metabolomics analysis, metabolomics test, transcriptomics and metabolomics, genomics transcriptomics proteomics metabolomics, etc. For more information, please feel free to contact us!

TM Widely-Targeted Metabolomics(2023年01月19日)

metwarebio — 2023-01-17T11:47:24+0900

https://www.metwarebio.com/tm-widely-targeted-metabolomics-service/

TM Widely-mass spec metabolomics is the 'Untargeted metabolomics + Targeted Metabolomics' process that achieves the perfect combination of high resolution, wide-coverage, high sensitivity, and precise quantification. It is a great starting point to examine the global metabolite profile. Metware's curated database of 280,000 metabolites, which includes 3000 metabolites not found in public databases, allows more annotations from high-resolution mass spec data.

Technology Introduction
"TM" Widely-mass spectrometry for metabolomics combines Untargeted metabolomics and Targeted metabolomics to achieve the perfect combination of high-resolution, wide-coverage, high-sensitivity, and precise quantification. Metware's patented Widely-Targeted Metabolomics technology stands out from many others with features such as:

Using high-resolution mass spectrometers to allow the unbiased collection of MS/MS spectrum data;

Highly curated metabolomics database with over 7000+ in-house metabolite database providing more metabolite annotation;

Using MRM analysis from QQQ to accurately quantify metabolites in each sample.

Technical Features of TM Widely-Targeted Matabolomics Service

Large Curated Database
Collected ultra-high resolution data of over 280,000 metabolites. Each sample can typically identify over 1300 metabolites.

Rigorous Quality Control
A mature quality control system monitoring all aspects of experimentation from sample preparetion to data analysis.

Experienced
Stable and tested sample preparation protocol stemming from processing over a million samples a year.

Accurate Identification
Combining AB SCIEX QTOF 6600+ ultra-high resolution mass spectrum with our large curated database to achieve accurate metabolite identification.

Accurate Quantification
Using MRM mode from AB SCIEX Triple Quad 6500+ to achieve accurate relative quantification of metabolites.

Applications of TM Widely-Targeted Matabolomics Service
Clinical marker discovery and development

Understanding mechanisms behind disease progression

Studying drug efficacy and toxicity

Environmental toxicology research

SERVICES
Global Metabolite Profiling

Untargeted Metabolomics
TM Widely-Targeted Metabolomics
Widely-Targeted Metabolomics for Plants
Flavonoids Metabolomics
Targeted Metabolomics

Lipidomics

Multi-Omics

List of Metabolites
Our curated database contains over 280,000 metabolites. Our in-house standard database has over 3,000 metabolites. The integrated public database has over 150,000 metabolites, and the AI predictive structural database has over 130,000 metabolites. The integrated public databases include KEGG, HMDB, Metlin, Mass Bank, Lipid Search, and other commonly used databases.

The in-house standard database contains 3000 metabolites as shown below:

CategoryQuantityRepresentative substance
Amino acids and their metabolites600+Glycine, L-threonine, L-arginine, N-acetyl-L-alanine
Organic acids and their derivatives400+3-hydroxybutyric acid, adipic acid, hippuric acid, kynurenine
Nucleotides and their metabolites200+Adenine, 5'-Adenine Nucleotide, Guanine, 2'-Deoxycytidine
Carbohydrates and their metabolites100+D-glucose, glucosamine, D-fructose 6-phosphate
Lipid500+O-acetylcarnitine, γ-linolenic acid, lysophosphatidylcholine 22:4
Benzene and its derivatives500+Benzoic acid, 3,4-dimethoxyphenylacetic acid, 4-hydroxybenzoic acid
Coenzymes and vitamins60+Folic acid, pantothenic acid, vitamin D3
Alcohols, amines150+Dopamine, histamine, DL-1-amino-2-propanol
Aldehydes, ketones, esters120+Furfural, ethyl butyrate, α-pentyl cinnamaldehyde
Heterocyclic compound200+Pyridoxal, biopterin, indole-3-acetic acid
bile acid40+Glycocholic acid, deoxycholic acid, taurolithocholic acid
Hormones and hormone-related substances100+Juvenile hormone 3, epinephrine, 3,3'-diiodo-L-thyroxine
Tryptamine, choline, pigment15+Serotonin, bilirubin (E-E), urobilin
other50+Astaxanthin, hydroxyurea
total3000+

There are many metabolomics service providers, but we are one of the best choices for you.

Resequencing+Metabolome(2023年01月18日)

metwarebio — 2023-01-17T11:46:33+0900

https://www.metwarebio.com/resequencing-metabolome-services/

The types and quantities of metabolites vary greatly in different species and tissues. The mGWAS (metabolome Genome-Wide Association Study) approach uses population materials, based on resequencing genetic information and metabolomics data to carry out genome-wide association analysis between genomic variations and metabolite quantities.

Case Study: Genome-wide association analyses provide genetic and biochemical insights into natural variation in rice metabolism (Chen et al., Nature Genetics 2014)

Subspecies specific metabolites between two rice subspecies

Using 529 rice leaf materials, a total of 840 compounds were detected by Widely-Targeted Metabolomics. Cluster analysis of these metabolites identified C-glycosylated and malonylated flavonoids accumulated more in the O. indica, while the O. japonica contained large amounts of phenolamides and arabidopyl alcohol derivative compounds. These subspecies-specific metabolites reflect the differentiation of O. indica and O. japonica.

SNP analysis and metabolite association of the rice population

Using NGS on the 529 materials, 6,428,770 SNPs were screened for further analysis. Simple linear regression (LR) and linear mixed models (LMM) were used for mGWAS analysis and a total of 2,947 major SNPs were identified, corresponding to 634 loci in at least one population.

161 significant loci shown on the Manhattan plot correspond to flavonoids, phenolic compounds, amino acids and their derivatives, terpenoids, nucleic acids and their derivatives, and other known metabolites. In addition, there are 195 loci corresponding to unknown metabolites.

mGWAS assists with annotation of unknown metabolites

mGWAS facilitates the annotation of metabolites by associating unknown metabolites with functionally relevant genes. For example, SNP sf1207801034 in the NOMT gene encoding naringenin 7-O-methyltransferase correlated with mr1002 levels, suggesting that this metabolite may be sakuranetin. Subsequently, the mr1002 metabolite was proven to be sakuranetin by comparing the retention time and fragmentation pattern with the chemical standard of this compound. In this study, GWAS was able to annotate 166 unknown metabolites.

Biochemical and functional interpretation of GWAS results

In addition to providing insight into the genetic basis of metabolic changes, mGWAS also provide insight into the biochemistry and function of underlying pathways. We can examine previously unidentified candidate genes by (i) finding genes or gene clusters associated with the relevant metabolic signatures encoded by these loci; (ii) clustering candidate genes with homologous genes with known functions; (iii) cross-reference genetic map results. We hope to uncover candidate genes or SNPs valuable for plant physiological or human nutrition.

For instance, trigonelline, an N-methyl conjugate of nicotinic acid, has long been reported to regulate various processes, especially abiotic stress in plants, but the enzyme that catalyzes niacin to trigonelline was unknown at the time. Trigonelline levels were significantly correlated with SNP sf0235317720 on chromosome 2, which was in linkage disequilibrium with the Os02g57760 gene encoding an O-methyltransferase protein, indicating that Os02g57760 encodes a key methyltransferase that catalyzes trigonelline biosynthesis. When N-terminal His-tagged Os02g57760 was expressed in E. coli BL-21, we were able to detect niacin:N-methyltransferase activity in soluble protein extracts. Consistent with the in vitro activity, overexpression of Os02g57760 in ZH11 (an O. japonica cultivar with low trigonelline content) resulted in a greater accumulation of trigonelline in the transgenic lines compared to control plants, confirming that Os02g57760 catalyzes trigonelline biosynthesis.

Sample Requirements of Resequencing+Metabolome Services

Sample TypeMinimum requirement per sampleStorage and transportation
Serum, Plasma, cerebrospinal fluid2mlSnap freeze in liquid nitrogen.
Store in -80C.
Ship with dry ice.
Tissue300mg
Cultured Cells1 x 107 cells
Plant materials1g

As a professional metabolomics company, we provide metabolomics analysis service, metabolomics test, dna sequencing, etc. For more information, please feel free to contact us!

Quantitative Lipidomics for Plants(2023年01月17日)

metwarebio — 2023-01-17T11:45:52+0900

https://www.metwarebio.com/quantitative-lipidomics-service-for-plants/

Metware Biotechnology uses Widely Targeted Metabolomics technology to build a database specific for plant lipids and performs qualitative analysis from the mass spectrometry data of many biological materials, followed by absolute quantification using QqQ and MRM to provide a comprehensive analysis of lipids in plant samples. This process is applicable to many plant research questions in growth and development as well as stress response.

Technology Introduction of Quantitative plant lipidomics
A class of organic compounds known as lipids are easily soluble in non-polar solvents but insoluble in water. The lipidome, as a subtype of metabolome, focuses on annotating and quantifying lipids in samples in order to understand their functions in plant growth and development. Important cellular processes, such as material transport, energy metabolism, information transfer, and metabolic regulation, all depend on lipids. With the help of Widely Targeted Metabolomics and a specific database of more than 2500 plant lipids, our Quantitative Lipidomics Service for Plants allows high throughput analysis of plant lipids in all types of plant materials.

Technical Features of Quantitative Lipidomics Service for Plants

Detection Platform
LC-MS for metabolite detection, both qualitative and quantitative accuracy.

Comprehensive Database
Proprietary metabolite database for plant species, with 2500+ lipid compounds in the database.

Rich Variety of Substances
Covering 6 major types of fatty acyl, glycerol esters, glycerophospholipids, sphingolipids, sterol esters, and isopentenol lipids.

Stable Detection
10 major quality control processes for providing high quality data.

Leading in the Number of Detected Substances
Between 800-1000 lipids detected in a typical run.

Comprehensive Analysis
Service comes with 12 analysis content and 22 display figures.

Post-sale Support
Comprehensive interpretation of the final report.

Applications of Plant Quantitative Lipidomics Service
Plant growth and development.

Abiotic and biotic stresses.

Food quality and processing.

Analysis Cases Display of Plant Quantitative Lipidomics Service
Journals: Plant Physiology;

IF: 6.902

Figure 1: Metabolomic analysis of primary metabolites in axillary buds of 35S: BnFAX6 transgenic plants and decapitated WT plants of B. napus.

Sample Requirements of Plant Quantitative Lipidomics Service

Sample requirements
Sample TypesMinimum sample sizeRisk minimum sample sizeBiological Repetition
TissueStems, buds, nodes, leaves, flowers, fruits, roots, healing tissues600mg300mg3-6
LiquidRoot secretions10mL3mL
Fermentation fluid, wine, tissue fluid, juice5mL3mL
Honey, nectar, oil, herbal decoction, extracts500μL300μL
SpecialCultured samples, present liquids600mg300mg
Note: Packed into suitable size centrifuge tubes (10mL/15mL), snap frozen in liquid nitrogen for 5-10min, stored in -80℃ refrigerator and transported on dry ice.

There are many metabolomics service providers, but we are one of the best choices for you.