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Service overview

Proteins are the direct performers of life functions. The quantitative proteomics service is based on the high-resolution electrospray Orbitrap and 4D-timsTOF mass spectrometry platform, providing precise quantification of complex proteomes in samples. It is particularly suitable for biomarker screening, drug concept verification and signal network analysis.

Service module specifications

1. DIA (data independent acquisition) omics: It has excellent measurement reproducibility, no missing values, and is suitable for large-scale sample analysis.

2. TMT (tandem mass spectrometry labeling) / iTRAQ quantification: Supports simultaneous labeling and same-needle mass spectrometry detection of up to 16 parallel samples.

3. Modified proteomes (PTMs): Provides a specific antibody enrichment platform, including quantification of phosphorylation, acetylation, ubiquitination and glycosylation modifications.

Quantitative proteome analysis delivers highly reproducible expression matrices, volcano plots, cluster heat maps, and functionally enriched pathway maps.

Technical indicators Service Parameters and Delivery
Main instruments High-resolution Orbitrap mass spectrometer / 4D timsTOF mass spectrometer
Detection depth A single DIA needle can stably compare 8000+ protein types
Minimum database construction A minimal protein purification system was developed for clinical needle aspiration biopsy tissue.
In-depth analysis of bioinformation Volcano plot, pathway clustering heat map, protein interaction network (PPI), multi-omics association pathway enrichment
Table 1. Main technical parameters and delivery standards of quantitative proteomics
Nature Communications IF: 16.6 Published: 2024
Revealing plasma protein markers and molecular subtypes of colorectal cancer metastasis based on high-throughput DIA proteomics
Research background: Early-stage colorectal cancer is prone to distant metastasis, and routine screening lacks highly sensitive circulating markers.
research methods: The plasma of 120 cases of colorectal cancer metastasis group, non-metastasis group and healthy people was collected, and ultrahigh pressure liquid chromatography (UPLC) combined with Orbitrap mass spectrometer was used for standard-free quantitative DIA proteome sequencing.
Main conclusions: High-depth spectra containing over 8000 plasma proteins identified. Through differential analysis and machine learning screening, a marker panel consisting of 4 core secreted proteins was identified (AUC=0.91), and metastasis-related adhesion pathway abnormalities were analyzed.

Protein extraction and pre-processing have high requirements on sample quality. Please ensure that the following parameters are met when sending samples:

Sample type Quantity requirements Extraction/Pre-processing Recommendations Transportation form
Fresh animal and plant tissues Animal tissue > 50mg, plant tissue > 100mg Liquid nitrogen quick freezing, avoid repeated freezing and thawing Ultra-low temperature dry ice sealed transportation
cell pellet ≥ 1 × 10^7 cells Remove the culture medium, wash with PBS, centrifuge to remove the supernatant, and freeze in liquid nitrogen Ultra-low temperature dry ice sealed transportation
Serum/Plasma ≥ 200 µL/sample Centrifuge to remove red blood cells to avoid hemolysis Ultra-low temperature dry ice sealed transportation
Puncture tissue (micro volume) 3-5 puncture needle cores Quickly freeze in ultra-low temperature freezing tube Ultra-low temperature dry ice sealed transportation

Service overview

Metabolites, as the end products of physiological reactions, can more sensitively and directly map the perturbations of phenotypes caused by external environmental stimuli or mutations in the body. HST GENOMICS combines advanced liquid chromatography mass spectrometry (LC-MS) technology to provide systematic analysis covering hundreds to thousands of metabolites.

Service module category

1. Untargeted metabolomics (Untargeted): Unbiased acquisition of the full spectrum of metabolite changes in samples, most suitable for biological discovery and early diagnostic marker establishment.

2. Highly sensitive targeted quantification: Accurate absolute quantification of standard calibration for core pathway small molecules such as bile acids, amino acids, short-chain fatty acids, etc.

3. Lipidomics and metabolic flux: Deep coverage of polar/non-polar molecules such as triglycerides and phospholipids, and supports isotope tracer analysis.

Metabolome analysis delivers qualitative and quantitative score tables, multivariate statistical charts (PCA, OPLS-DA), VIP importance maps and pathway enrichment maps.

analysis project Deliver diagrams/models Main technical uses
Qualitative identification of substances Secondary fragment comparison score table, high-resolution accurate molecular weight Accurately identify endogenous and exogenous small molecule metabolites
multivariate statistical analysis PCA scatter plot, PLS-DA/OPLS-DA discriminant analysis Evaluate overall sample differences and separation trends between groups
Marker screening VIP value percentage chart, volcano chart Target the significantly different metabolites that contribute most to classification between groups
pathway mapping KEGG metabolic pathway bubble diagram, pathway association network Regulatory network connecting differential small molecules and upstream genes/proteins
Table 2. Main deliverables and statistical models for quantitative metabolome analysis
Cell Metabolism IF: 27.7 Published: 2024
Targeted metabolomic mechanism of intestinal microbial metabolites short-chain fatty acids in regulating host obesity and insulin resistance
Research background: Changes in dietary structure significantly affect host metabolism, but the specific small molecule-mediated mechanism has not yet been fully explored.
research methods: LC-MS/MS-based untargeted metabolome and highly sensitive targeted metabolite analysis of feces, cecal contents and peripheral blood of mice on high-fat diet and normal diet.
Main conclusions: Non-targeted metabolome screened out hundreds of small molecules with significant differences between groups, and subsequent targeted testing found that short-chain fatty acids (SCFAs) such as acetic acid and propionic acid were significantly enriched in healthy controls. The mechanism suggests that it improves insulin sensitivity in peripheral tissues by regulating the release of glucagon-like peptide through activation of intestinal GPR41/43 receptors.

Metabolites have weak stability and are susceptible to external contamination. Please strictly abide by the following sample delivery standards:

Sample type Quantity requirements Extraction/Pre-processing Recommendations Transportation form
plasma/serum ≥ 100 µL/sample Immediately after collection, centrifuge to remove cells to avoid hemolysis and quick freeze Ultra-low temperature dry ice sealed transportation
Urine/cerebrospinal fluid ≥ 200 µL/sample Centrifuge to remove cell debris and freeze quickly Ultra-low temperature dry ice sealed transportation
animal and plant tissue ≥ 100 mg Quickly peeled on ice, washed with PBS, and quick-frozen in liquid nitrogen Ultra-low temperature dry ice sealed transportation
feces/intestinal contents ≥ 100 mg Collect in sterile cryovials and quickly put into liquid nitrogen or -80℃ Ultra-low temperature dry ice sealed transportation