Evidence map›Paper›PMID 35623704›Full record

ArticleMethods in cell biology2022

Proximity labeling for investigating protein-protein interactions.

Conrad T Pfeiffer, Joao A Paulo, Steven P Gygi, Howard A Rockman

Open access · greenAbstract read
In one paragraph

Article in Methods in cell biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
10.7field-weighted citation impact, top 1% 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

16 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
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  12. Proteomics of the heart.Physiological reviews · 2024
    Review
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  16. Review
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

4 authors at 2 institutions in 1 country.

Conrad T PfeifferDepartment of Medicine, Duke University Medical Center, Durham, NC, United States.
Joao A PauloDepartment of Cell Biology, Harvard Medical School, Boston, MA, United States.
Steven P GygiDepartment of Cell Biology, Harvard Medical School, Boston, MA, United States.
Howard A RockmanDepartment of Medicine, Duke University Medical Center, Durham, NC, United States; Department of Cell Biology, Duke University Medical Center, Durham, NC, United States. Electronic address: h.rockman@duke.edu.
Duke Medical Center · USHarvard University · US

Funding

MECHANISMS OF MALADAPTATION IN HEART FAILURER01HL056687 · NHLBI · UNIVERSITY OF NORTH CAROLINA CHAPEL HILL · PI Howard A Rockman · 1996 to 2026
$12.3M
New Sample Multiplexing Technologies to Identify Chemical Probes and Illuminate Ubiquitin BiologyR01GM067945 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI GYGI, STEVEN P · 2003 to 2024
$10.5M
MULTIDISCIPLINARY HEART &VASCULAR DISEASEST32HL007101 · NHLBI · DUKE UNIVERSITY · PI FREEDMAN, NEIL J. · 1985 to 2020
$9.8M
Advancing Multiplexed Isobaric Tag-based Strategies for Proteome ProfilingR01GM132129 · NIGMS · HARVARD MEDICAL SCHOOL · PI PAULO, JOAO A · 2019 to 2023
$1.7M
NHLBI NIH HHS R01 HL056687NHLBI NIH HHS T32 HL007101NIGMS NIH HHS R01 GM067945NIGMS NIH HHS R01 GM132129
6 · The paper itself

Abstract

The study of protein complexes and protein-protein interactions is of great importance due to their fundamental roles in cellular function. Proximity labeling, often coupled with mass spectrometry, has become a powerful and versatile tool for studying protein-protein interactions by enriching and identifying proteins in the vicinity of a specified protein-of-interest. Here, we describe and compare traditional approaches to investigate protein-protein interactions to current day state-of-the-art proximity labeling methods. We focus on the wide array of proximity labeling strategies and underscore studies using diverse model systems to address numerous biological questions. In addition, we highlight current advances in mass spectrometry-based technology that exhibit promise in improving the depth and breadth of the data acquired in proximity labeling experiments. In all, we show the diversity of proximity labeling strategies and emphasize the broad range of applications and biological inquiries that can be addressed using this technology.

Indexed as

Models, BiologicalMass SpectrometryAPEXBioIDInteractomeProtein-protein interactionsProximity labeling

Identifiers

PMID35623704
PMCPMC10782847
OpenAlexW4206791868

What OpenQuestion holds

Textmetadata
LicenceTDM
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.