Journal of the American Society for Mass SpectrometryBioinformaticsPeer-reviewed journal article
CIRFESS: An interactive resource for querying the set of theoretically detectable peptides for cell surface and extracellular enrichment proteomic studies
Abstract
Cell surface transmembrane, extracellular, and secreted proteins are high value targets for immunophenotyping, drug development, and studies related to intercellular communication in health and disease. As the number of specific and validated affinity reagents that target this subproteome are limited, mass spectrometry (MS)-based approaches will continue to play a critical role in enabling discovery and quantitation of these molecules. Given the technical considerations that make MS-based cell surface proteome studies uniquely challenging, it can be difficult to select an appropriate experimental approach. To this end, we have integrated multiple prediction strategies and annotations into a single online resource, Compiled Interactive Resource for Extracellular and Surface Studies (CIRFESS). CIRFESS enables rapid interrogation of the human proteome to reveal the cell surface proteome theoretically detectable by current approaches and highlights where current prediction strategies provide concordant and discordant information. We applied CIRFESS to identify the percentage of various subsets of the proteome which are expected to be captured by targeted enrichment strategies, including two established methods and one that is possible but not yet demonstrated. These results will inform the selection of available proteomic strategies and development of new strategies to enhance coverage of the cell surface and extracellular proteome. CIRFESS is available at www.cellsurfer.net/cirfess.
- Citations
- 23
- FWCI
- 1.24
- Field percentile
- top 26%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Defining the Cell Surface Cysteinome using Two-step Enrichment Proteomics
T. Yan, L. Boatner, … K. Backus·bioRxiv·Oct 17, 2023
- Cell-Type-Specific Surfaceome Profiling of 100-500 Isolated Cells using a Droplet-Based Magnetic Affinity Purification System
Amanda C. Lorentzian, Juliet M. Bartleson, … Ying Zhu·Nature CommunicationsPeer-reviewed·Sep 18, 2026
- Updating the in silico human surfaceome with meta-ensemble learning and feature engineering
Daniel Bojar·bioRxiv·Feb 7, 2019
- The accessible human surfaceome
Rebecca Carlson, Louis Robert Hollingsworth, Michael J. Smallegan·bioRxiv·Oct 19, 2026
- Prediction of Interactions between Cell Surface Proteins by Machine Learning
Zhaoqian Su, Brian Griffin, … Yinghao Wu·Proteins Structure Function and BioinformaticsPeer-reviewed·Dec 5, 2023
- A nanoscale map of the human cell surface proteome reveals spatial and functional organization
Brendan M. Floyd, Elizabeth Lea Schmidt, … Carolyn Ruth Bertozzi·Nature Structural & Molecular BiologyPeer-reviewed·Oct 28, 2026