Evidence map›Paper›PMID 38053024›Full record

ArticleClinical proteomics2023

sBioSITe enables sensitive identification of the cell surface proteome through direct enrichment of biotinylated peptides.

Kishore Garapati, Husheng Ding, M Cristine Charlesworth, Yohan Kim, Roman Zenka, Mayank Saraswat, Dong-Gi Mun, Sandip Chavan, Ashish Shingade, Fabrice Lucien and 3 more

Open access · goldAbstract read
In one paragraph

Article in Clinical proteomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Proteomics-Based Approaches to Decipher the Molecular Strategies ofJournal of fungi (Basel, Switzerland) · 2025
    Review
  4. Article
  5. Mapping the cancer surface proteome in search of target antigens for immunotherapy.Molecular therapy : the journal of the American Society of Gene Therapy · 2024
    Review
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 4 institutions in 2 countries.

Kishore GarapatiManipal Academy of Higher Education (MAHE), Manipal, Karnataka, India.
Husheng DingDepartment of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
M Cristine CharlesworthProteomics Core, Mayo Clinic, Rochester, MN, USA.
Yohan KimDepartment of Urology, Mayo Clinic, Rochester, MN, USA.
Roman ZenkaProteomics Core, Mayo Clinic, Rochester, MN, USA.
Mayank SaraswatDepartment of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Dong-Gi MunDepartment of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Sandip ChavanDepartment of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Ashish ShingadeInstitute of Bioinformatics, International Technology Park, Bangalore, Karnataka, India.
Fabrice LucienDepartment of Urology, Mayo Clinic, Rochester, MN, USA.
Jun ZhongDepartment of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Richard K KandasamyManipal Academy of Higher Education (MAHE), Manipal, Karnataka, India.
Akhilesh PandeyDepartment of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA. pandey.akhilesh@mayo.edu.
Mayo Clinic · USMayo Clinic in Arizona · USInstitute of Bioinformatics · INMayo Clinic in Florida · US

Funding

Mayo Clinic Center for Clinical ProteomicsU01CA271410 · NCI · MAYO CLINIC ROCHESTER · PI Rafael Fonseca, AKHILESH PANDEY · 2022 to 2026
$5.3M
NCI NIH HHS U01 CA271410NIH HHS U01CA271410
6 · The paper itself

Abstract

backgroundCell surface proteins perform critical functions related to immune response, signal transduction, cell-cell interactions, and cell migration. Expression of specific cell surface proteins can determine cell-type identity, and can be altered in diseases including infections, cancer and genetic disorders. Identification of the cell surface proteome remains a challenge despite several enrichment methods exploiting their biochemical and biophysical properties.

methodsHere, we report a novel method for enrichment of proteins localized to cell surface. We developed this new approach designated surface Biotinylation Site Identification Technology (sBioSITe) by adapting our previously published method for direct identification of biotinylated peptides. In this strategy, the primary amine groups of lysines on proteins on the surface of live cells are first labeled with biotin, and subsequently, biotinylated peptides are enriched by anti-biotin antibodies and analyzed by liquid chromatography-tandem mass spectrometry (LC-MS/MS).

resultsBy direct detection of biotinylated lysines from PC-3, a prostate cancer cell line, using sBioSITe, we identified 5851 peptides biotinylated on the cell surface that were derived from 1409 proteins. Of these proteins, 533 were previously shown or predicted to be localized to the cell surface or secreted extracellularly. Several of the identified cell surface markers have known associations with prostate cancer and metastasis including CD59, 4F2 cell-surface antigen heavy chain (SLC3A2) and adhesion G protein-coupled receptor E5 (CD97). Importantly, we identified several biotinylated peptides derived from plectin and nucleolin, both of which are not annotated in surface proteome databases but have been shown to have aberrant surface localization in certain cancers highlighting the utility of this method.

conclusionsDetection of biotinylation sites on cell surface proteins using sBioSITe provides a reliable method for identifying cell surface proteins. This strategy complements existing methods for detection of cell surface expressed proteins especially in discovery-based proteomics approaches.

Indexed as

BioSITeBiotinylationSurfaceome

Identifiers

PMID38053024
PMCPMC10696767
OpenAlexW4389334335

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.