OmniProt plasma and serum proteomics
Nanoparticle enrichment, MS measurement and a research-kit workflow for plasma and serum protein discovery.
Science and technology
MassNet. FAXP. OmniProt.
Our spectral-AI, spatial-proteomics and plasma-proteomics technologies support AIVC research, scientific services and translational investigation.
Spectral intelligence
MassNet
AI-ready mass spectra for protein interpretation.
1.54BSpectra in the public MassNet resource
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.
Spatial proteomics
FAXP
Protein measurements with tissue, cell and organelle context.
Nature Communications · 2024
Nature Protocols · 2026
Nature Protocols · 2026
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.
Plasma and serum proteomics
OmniProt
A nanoparticle-enrichment toolkit for biomarker research.
Research kit · Proteomics service
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.
OmniProt product resource · Research use; performance depends on the sample and instrument workflow.
Published science and technical resources
Publications and resources
Read paper
Spatial proteomics of single cells and organelles on tissue slides using filter-aided expansion proteomics
FAXP adds cell, organelle and tissue location to mass-spectrometry measurements.
Filter-aided expansion proteomics for the spatial analysis of single cells and organelles in FFPE tissue samples
A workflow-specific guide to spatial protein measurement.
DIA-BERT: pre-trained end-to-end transformer models for enhanced DIA proteomics data analysis
Spectral AI for DIA identification and quantification.
DDA-BERT: end-to-end training for data-dependent acquisition mass spectrometry-based proteomics
End-to-end spectral learning for DDA peptide-spectrum-match rescoring.
Grow AI virtual cells: three data pillars and closed-loop learning
The knowledge, architecture and dynamic-state framework, connected by active learning.
AI proteomics: from protein identification to virtual cells
A field perspective connecting spectral analysis, proteomics and virtual-cell research.
Towards the construction of a virtual yeast
A function-centered framework for multimodal virtual-organism research.
MassNet: billion-scale AI-friendly mass spectral corpus
A 1.54-billion-spectrum public resource and preprint. The authors report acceptance in principle at Nature Methods.
Publications, methods and resources retain their stated research scope and access terms.
Research partnerships
Use the technology in your study.
Explore our research-service catalogue or contact the team about methods and research kits.