Evidence map›Paper›PMID 38951684›Full record

ArticleMolecular systems biology2024

A proximity proteomics pipeline with improved reproducibility and throughput.

Xiaofang Zhong, Qiongyu Li, Benjamin J Polacco, Trupti Patil, Aaron Marley, Helene Foussard, Prachi Khare, Rasika Vartak, Jiewei Xu, Jeffrey F DiBerto and 5 more

Abstract read
In one paragraph

Article in Molecular systems biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
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

18 citing papers in PubMed.

  1. Article
  2. Review
  3. A Spatiotemporal Atlas of the Androgen Receptor Proximal Interactome.bioRxiv : the preprint server for biology · 2026
    Article
  4. No evidence for direct physical interaction of 5-HTbioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Review
  17. Article
  18. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Xiaofang Zhong *Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, 94158, USA.ORCID http://orcid.org/0000-0001-8831-5733
Qiongyu Li *Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, 94158, USA.
Benjamin J PolaccoQuantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, 94158, USA.
Trupti PatilQuantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, 94158, USA.
Aaron MarleyDepartment of Psychiatry and Behavioral Sciences, University of California, San Francisco, CA, 94158, USA.
Helene FoussardQuantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, 94158, USA.
Prachi KhareQuantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, 94158, USA.
Rasika VartakQuantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, 94158, USA.
Jiewei XuQuantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, 94158, USA.
Jeffrey F DiBertoDepartment of Pharmacology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
Bryan L RothDepartment of Pharmacology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.ORCID http://orcid.org/0000-0002-0561-6520
Manon EckhardtQuantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, 94158, USA.ORCID http://orcid.org/0000-0001-8143-6129
Mark von ZastrowQuantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, 94158, USA.ORCID http://orcid.org/0000-0003-1375-6926
Nevan J KroganQuantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, 94158, USA.ORCID http://orcid.org/0000-0003-4902-337X
Ruth HüttenhainQuantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, 94158, USA. ruthh@stanford.edu.ORCID http://orcid.org/0000-0002-0896-5910

Funding

Project 3: Control of cardiac transcription by MEF2 and myocardinP01HL146366 · NHLBI · J. DAVID GLADSTONE INSTITUTES · PI SRIVASTAVA, DEEPAK · 2019 to 2023
$13.7M
Mechanistic insights into LSD actions at 5-HT2A serotonin receptorsR37DA045657 · NIDA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Bryan L. Roth · 2018 to 2026
$5.8M
Spatiotemporal signaling and trafficking of the mu-opioid receptorR01DA056354 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Ruth Huttenhain · 2022 to 2026
$2.9M
DOD | Defense Advanced Research Projects Agency (ARPA) HR0011-19-2-0020DOD | Defense Advanced Research Projects Agency (ARPA) HR0011-20-2-0029HHS | NIH | National Heart, Lung, and Blood Institute (NHLBI) P01HL146366HHS | NIH | National Institute on Drug Abuse (NIDA) R01DA056354HHS | NIH | National Institute on Drug Abuse (NIDA) R37DA045657NHLBI NIH HHS P01 HL146366NIDA NIH HHS R01 DA056354NIDA NIH HHS R37 DA045657
6 · The paper itself

Abstract

Proximity labeling (PL) via biotinylation coupled with mass spectrometry (MS) captures spatial proteomes in cells. Large-scale processing requires a workflow minimizing hands-on time and enhancing quantitative reproducibility. We introduced a scalable PL pipeline integrating automated enrichment of biotinylated proteins in a 96-well plate format. Combining this with optimized quantitative MS based on data-independent acquisition (DIA), we increased sample throughput and improved protein identification and quantification reproducibility. We applied this pipeline to delineate subcellular proteomes across various compartments. Using the 5HT

Indexed as

BiotinylationProteomeProteomicsHEK293 CellsHumansMass SpectrometryReproducibility of ResultsProteomeAPEX2-based Proximity LabelingG Protein-Coupled ReceptorProtein–Protein InteractionProximity ProteomicsSubcellular Proteomics

Identifiers

PMID38951684
PMCPMC11297269

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.