AIVC connects our spectral-AI, perturbation-proteomics and spatial-proteomics capabilities. MassNet, FAXP and OmniProt also support research services and translational studies.
AI-ready mass spectra for protein interpretation.
MassNet organizes large-scale MS evidence for model training and peptide interpretation.
XuanjiNovo supports de novo peptide sequencing. DIA-BERT and DDA-BERT provide complementary spectral-analysis methods for identification, quantification and rescoring.
The original MassNet study is available as a resource and preprint; its authors report acceptance in principle at Nature Methods. DIA-BERT and DDA-BERT are separate published methods.
Protein measurements with tissue, cell and organelle context.
Filter-aided expansion proteomics connects protein profiles to their location in tissue.
Tissue expansion, image-guided sampling and mass spectrometry enable workflow-specific spatial investigations. FAXP supports disease biology, tissue characterization and the spatial foundation for virtual-cell research.
Resolution, depth and input requirements depend on the specimen and measurement workflow.
A nanoparticle-enrichment toolkit for biomarker research.
Enrich low- and medium-abundance proteins in plasma and serum before LC–MS analysis.
Protein-corona formation is followed by preparation and digestion, supporting deeper discovery studies. OmniProt is a research measurement toolkit that complements intracellular perturbation and spatial proteomics.
Systematic evaluation of blood contamination in nanoparticle-based plasma proteomics · EMBO Molecular Medicine 18, 275–296 (2026), first online 5 December 2025. Research use; performance depends on the workflow.
Cell, Nature, Science and major portfolio journals, with additional selected studies and datasets.
Newest first. Dates use first online publication where verified; otherwise the official publication date. The same order is retained after filtering.
62 publications in CNS and major journals
ProteinTalks learns time-resolved protein responses and evaluates drug efficacy, synergy and transfer to patient-relevant research systems.
This perspective connects AI-supported spectral interpretation, functional proteomics and multimodal data generation to virtual-cell construction.
A function-centered framework integrates biological knowledge, cellular architecture and dynamic experiments for constructing a virtual yeast.
An anatomical tissue and cancer proteome reference maps protein distributions to support biological interpretation and target research.
End-to-end spectral learning improves peptide-spectrum-match assessment for data-dependent proteomics acquisition.
This commentary argues that proteome depth must be judged alongside quantitative robustness, bias and biological relevance.
Large-cohort metaproteomics links microbial protein functions to metabolic disease, medication exposure and aging.
A review evaluates public blood-proteomics resources and the requirements for reusable, well-curated evidence.
A prospective multicenter study evaluates a targeted protein-based classifier for preoperative thyroid-nodule assessment.
This commentary discusses how spatial protein gradients refine the interpretation of liver zonation and disease.
Robotic co-fractionation workflows and machine learning increase the scale of experimentally supported protein-interaction analysis.
Integrated molecular and clinical measurements support research models of individualized medullary-thyroid-carcinoma prognosis.
Controlled plasma-proteomics experiments assess how blood-cell contamination affects nanoparticle-enrichment interpretation.
A review connects tissue expansion to spatial molecular measurements and emerging multimodal cell models.
Mechanistic experiments examine how molecular changes tune the temperature sensitivity of the TRPM8 ion channel.
Multi-organ proteomics characterizes how dietary protein restriction alters molecular aging signatures in mice.
A reproducible FAXP protocol guides spatial protein measurement from archived tissue sections, cells and organelles.
A community framework aligns blood-proteomics sampling, quality control and interpretation to improve reproducibility.
Newly evolved human genes are investigated as tumor-associated drivers and candidate immunotherapy antigens.
Spatial molecular profiling identifies a macrophage–T-cell niche associated with colorectal-cancer immunotherapy research.
A short commentary explains how tissue expansion improves spatial resolution for mass-spectrometry-based protein measurements.
A pan-cancer proteome resource highlights tumor-associated proteins, molecular subtypes and candidate therapeutic targets.
A protein classifier is evaluated for distinguishing follicular thyroid adenoma from carcinoma in clinical research cohorts.
Molecular experiments identify PWWP3A as a regulator of antiviral signaling through the VISA/MAVS complex.
Integrated proteogenomic profiling reveals molecular features and research targets in aggressive thyroid cancers.
Pretrained transformer methods improve interpretation and quantitative analysis of data-independent proteomics acquisition.
Plant molecular experiments characterize BAI1 coordination of gene transcription across nuclear and plastid compartments.
Three biological data pillars and an active-learning loop provide a framework for designing informative virtual-cell experiments.
A review surveys mass-spectrometry advances connecting single-cell and spatial proteomics to translational research.
An AI-supported quality-control workflow evaluates instrument and data performance in DIA proteomics.
Longitudinal serum protein trajectories reveal associations with aging and cardiometabolic disease risk.
Curated mass-spectral libraries provide reference evidence for quantitative analysis of human thyroid tissues and cells.
Proteomic profiles support an AI classifier for research assessment of eyelid tumors.
An international initiative outlines multimodal proteomic data generation and integration for human biology and medicine.
Glioma proteomics reveals immune and metabolic subtypes that motivate therapeutic research hypotheses.
A perturbation–measurement–modeling–prediction framework explains how controlled protein measurements can support biological response models.
FAXP combines tissue expansion, image-guided sampling and mass spectrometry for cell and organelle protein measurements.
A tissue-proteomics study defines prostate-cancer subtypes and evaluates a protein panel for biochemical-recurrence prediction.
Rapid proteomic measurements and machine learning support research models of survival in colon cancer.
Ovarian tissue and plasma profiling connects protein patterns to tumor histotypes and therapy-associated biology.
Clinical and multi-omics follow-up investigates persistent pulmonary and renal consequences after COVID-19.
Quantitative proteomics supports research stratification of recurrence risk in pediatric papillary thyroid carcinoma.
Integrated molecular, imaging and pathology profiles characterize breast-cancer heterogeneity in a Chinese patient cohort.
Combined body-fluid proteomics and gut-microbiota analysis investigates factors associated with vaccine responses.
Multicenter tongue-coating metaproteomics explores microbial functional signals associated with gastric cancer.
Creates deliberately batch-structured cell-line proteomics datasets for testing integration, missing-value handling and analysis workflows.
Uses longitudinal population serum proteomics to develop and independently evaluate a model of future metabolic-syndrome risk.
Expands a pan-human DIA assay library to improve protein coverage and biomarker discovery across tissue and cancer specimens.
Dissects how catalytic and noncatalytic USP7 functions regulate differentiation genes and embryonic stem-cell identity.
Integrates blood molecular layers to resolve immune and platelet changes across stages of Omicron breakthrough infection.
Maps host-protein and microbial relationships across intestinal and associated tissues in Crohn's disease.
Combines tumour molecular layers to identify immunometabolic subtypes and investigate a macrophage-directed combination strategy in colorectal cancer.
Maps genetic influences on circulating proteins in a Han Chinese cohort to investigate cross-ancestry cardiometabolic biology.
Reports exploratory epigenetic-agent immunotherapy in diffuse midline glioma with proteomic investigation of treatment-associated molecular changes.
Introduces tissue expansion coupled to mass spectrometry for measuring protein heterogeneity across small anatomical regions.
Integrates genomic, epigenomic and protein measurements to identify molecular subtypes and candidate vulnerabilities in medullary thyroid carcinoma.
Uses acute RNA polymerase II subunit degradation and molecular profiling to reveal distinct roles in transcription and RNA processing.
Develops a protein-based thyroid-nodule classifier and tests it in independent retrospective and prospective clinical cohorts.
Defines a reproducible pressure-cycling workflow for extracting and digesting proteins from small tissue and other biological specimens.
Links persistent viral RNA shedding to longitudinal immune and metabolic patterns and explores a multi-molecule prediction model.
Characterizes early serum protein-response patterns in Omicron infection to investigate differences in host-pathway regulation.
Proposes systematic functional characterization of poorly understood proteins to reduce gaps in biological annotation.
Invites coordinated research to broaden functional knowledge of human proteins that have received limited experimental attention.
Discusses what COVID-19 multi-omics reveals and why standardization remains necessary for clinical translation.
Investigates soluble RAGE as an intervention against SARS-CoV-2-associated pneumonia in a hamster model.
Combines urine and serum molecular profiling to investigate inflammatory and renal responses associated with COVID-19 severity.
Provides a visual overview of established and emerging mass-spectrometry workflows for analysing clinical specimens.
Examines how an independent CyTOF study resolves metabolic transitions during CD8 T-cell activation.
Charts organ-specific protein alterations in COVID-19 autopsy tissues to investigate the molecular basis of systemic injury.
Combines serum proteins and metabolites to characterize severe COVID-19 and evaluate candidate molecular severity classifiers.
Builds a multi-organ Arabidopsis protein atlas and spectral assay library for quantitative plant proteomics.
Profiles the NCI-60 proteome and demonstrates how protein measurements complement other molecular layers for drug-response modelling.
Compares RNA and protein stability in prostate specimens and establishes a proteome-integrity measure for sample-quality assessment.
An openly shared prostate-cancer image resource links PTEN measurements, tissue morphology, expert annotations and patient outcomes, supporting reproducible studies of cancer heterogeneity and computational pathology.
The study identifies TRIM24 as a promoter of androgen-receptor activity and prostate-cancer growth, connecting SPOP mutations, protein regulation and patient recurrence risk with a potential therapeutic target.
ISHProfiler combines tissue staining and computational image analysis to measure copy-number changes while preserving tissue context, enabling quantitative comparisons of genetic heterogeneity within and between tumours.
Ezh2 modifies the cytoplasmic protein talin to regulate adhesion turnover and leukocyte movement, revealing how a protein modification can influence immune-cell behaviour beyond nuclear gene regulation.
Pressure-assisted sample preparation and SWATH mass spectrometry convert small tissue biopsies into reusable quantitative proteome records, demonstrated with paired kidney-cancer samples to support later biomarker analyses.
A shared human assay library expands SWATH-MS analysis to more than 10,000 proteins, providing reference measurements that support reproducible protein quantification across biological and clinical specimens.
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The archive includes Guomics-led and collaborative studies, plus clearly attributed earlier research with Tiannan Guo. Research articles, reviews, perspectives and commentaries are identified by type. Sources: Guomics full bibliography, original publishers and PubMed.
Technology resources and preprints are shown separately from formally published journal articles.
Billion-scale mass spectral corpus and de novo peptide-sequencing research.
Preprint posted 20 Jun 2025. Nature Methods acceptance in principle is author-reported; a final journal publication date is not assigned in this archive.
Nanoparticle enrichment for plasma and serum proteomics, available as a research kit and service.
Product and method resource; research use.
Explore our research-service catalogue or contact the team about methods and research kits.