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CN EN
Sample-to-report sequencing currently accepts samples shipped within mainland China. Researchers elsewhere are welcome to send existing data for analysis: see bioinformatics services.
Mass spectrometry is run on high-resolution instruments in our laboratory and at partner facilities.

Service overview

Quantitative proteomics measures protein abundance in complex samples using high-resolution Orbitrap and 4D timsTOF mass spectrometers in our laboratory and at partner platforms. It is well suited to biomarker discovery, proof-of-concept studies for drug candidates and signalling-network analysis.

Data analysis is carried out by our bioinformatics team and reviewed by senior bioinformatics experts before delivery; see proteomics and metabolomics data analysis for details.

Typical turnaround (assay + standard analysis): 20–30 working days, as stated in the written plan.

Service options

1. DIA (data-independent acquisition): good quantitative reproducibility and fewer missing values than DDA; suited to large sample sets.

2. TMT (tandem mass tag) / iTRAQ quantification: up to 16 samples are labelled and measured together in a single LC-MS run.

3. Post-translational modifications (PTMs): antibody- or affinity-based enrichment, followed by quantification of phosphorylation, acetylation, ubiquitination and glycosylation.

Deliverables include protein expression matrices, volcano plots, clustered heatmaps and functional enrichment results.

Item Details
Instruments High-resolution Orbitrap / 4D timsTOF mass spectrometers (our laboratory and partner platforms)
Proteome depth The number of proteins identified depends on sample type and is stated in the written plan
Low-input samples Protein extraction from small samples such as needle biopsies is supported
Downstream analysis Volcano plots, pathway heatmaps, protein–protein interaction (PPI) networks, multi-omics pathway enrichment
Table 1. Quantitative proteomics typical parameters and deliverables (contractual values apply)

Protein extraction and sample preparation depend on sample quality. Please make sure samples meet the following requirements:

Sample type Amount Preparation Shipping
Fresh animal or plant tissue Animal tissue > 50 mg; plant tissue > 100 mg Snap-freeze in liquid nitrogen; avoid repeated freeze–thaw cycles Sealed, on dry ice
Cell pellet ≥ 1 × 10^7 cells Remove medium, wash with PBS, pellet, remove the supernatant and snap-freeze in liquid nitrogen Sealed, on dry ice
Serum / plasma ≥ 200 µL/sample Centrifuge to remove blood cells; avoid haemolysis Sealed, on dry ice
Needle biopsy (low input) 3–5 needle cores Snap-freeze in cryotubes Sealed, on dry ice

Service overview

As downstream products of cellular processes, metabolites reflect how environmental stimuli or genetic changes affect phenotype. We use liquid chromatography–mass spectrometry (LC-MS) to profile hundreds to thousands of metabolites.

Data analysis is carried out by our bioinformatics team and reviewed by senior bioinformatics experts before delivery; see proteomics and metabolomics data analysis for details.

Typical turnaround (assay + standard analysis): 20–30 working days, as stated in the written plan.

Service options

1. Untargeted metabolomics: broad profiling of metabolite changes across samples, suited to exploratory studies and candidate marker discovery.

2. Targeted quantification: absolute quantification against calibration standards for key metabolite classes such as bile acids, amino acids and short-chain fatty acids.

3. Lipidomics and metabolic flux: coverage of lipid classes such as triglycerides and phospholipids, with stable-isotope tracing available.

Deliverables include identification and quantification tables, multivariate statistics (PCA, OPLS-DA), VIP plots and pathway enrichment results.

Analysis Deliverables Purpose
Metabolite identification MS/MS spectral match scores, high-resolution accurate mass Identify endogenous and exogenous small-molecule metabolites
Multivariate statistics PCA score plots, PLS-DA/OPLS-DA Assess overall variation and separation between groups
Candidate markers VIP plots, volcano plots Find the differential metabolites that contribute most to group separation
Pathway mapping KEGG pathway bubble plots, pathway networks Link differential metabolites to upstream genes and proteins
Table 2. Typical metabolomics deliverables and statistical methods

Metabolites degrade easily and are prone to contamination. Please follow these sample requirements closely:

Sample type Amount Preparation Shipping
Plasma / serum ≥ 100 µL/sample Centrifuge immediately after collection to remove cells; avoid haemolysis; snap-freeze Sealed, on dry ice
Urine / cerebrospinal fluid ≥ 200 µL/sample Centrifuge to remove cells and debris; freeze promptly Sealed, on dry ice
Animal or plant tissue ≥ 100 mg Dissect quickly on ice, rinse with PBS and snap-freeze in liquid nitrogen Sealed, on dry ice
Faeces / intestinal contents ≥ 100 mg Collect in sterile cryovials and transfer promptly to liquid nitrogen or −80°C Sealed, on dry ice