Evidence map›Paper›PMID 27667171›Full record

ReviewTrends in cell biology2016

Filling the Void: Proximity-Based Labeling of Proteins in Living Cells.

Dae In Kim, Kyle J Roux

Abstract readReview
In one paragraph

Review in Trends in cell biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 159 papers.

0numbers the graph read from it
0cells of the map it votes in
159citing 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

159 citing papers in PubMed.

  1. Article
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  13. The protein interactome of the Neuron Specific Gene family (NSG1-3).bioRxiv : the preprint server for biology · 2025
    Article
  14. Article
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  19. Review
  20. p63 and ZNF148 cooperate to regulate head and neck squamous cell carcinoma.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article

99 more citing papers are in PubMed but not listed here.

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

2 authors.

Dae In KimSanford Children's Health Research Center, Sanford Research, Sioux Falls, SD 57104, USA.
Kyle J RouxSanford Children's Health Research Center, Sanford Research, Sioux Falls, SD 57104, USA; Department of Pediatrics, Sanford School of Medicine, University of South Dakota, Sioux Falls, SD 57105, USA. Electronic address: Kyle.Roux@sanfordhealth.org.

Funding

SUBSTRATE RIGIDITY AND GENE EXPRESSION: Role of Nuclear TensionR01EB014869 · NIBIB · UNIVERSITY OF FLORIDA · PI LELE, TANMAY P. · 2012 to 2019
$3.4M
Developing methods for proximity-dependent protein labelingR01GM102203 · NIGMS · SANFORD RESEARCH/USD · PI ROUX, KYLE J · 2013 to 2017
$1.5M
Cytoskeletal force generation on the nucleusR01GM102486 · NIGMS · UNIVERSITY OF FLORIDA · PI LELE, TANMAY P. · 2012 to 2015
$1.2M
NIBIB NIH HHS R01 EB014869NIGMS NIH HHS R01 GM102203NIGMS NIH HHS R01 GM102486
6 · The paper itself

Abstract

There are inherent limitations with traditional methods to study protein behavior or to determine the constituency of proteins in discrete subcellular compartments. In response to these limitations, several methods have recently been developed that use proximity-dependent labeling. By fusing proteins to enzymes that generate reactive molecules, most commonly biotin, proximate proteins are covalently labeled to enable their isolation and identification. In this review we describe current methods for proximity-dependent labeling in living cells and discuss their applications and future use in the study of protein behavior.

Indexed as

AnimalsCell SurvivalHumansProtein BindingProtein EngineeringProtein Interaction MappingProteinsStaining and LabelingProteinsAPEXBioIDprotein–protein interactionsproteomicsproximity-dependent labelingsubcellular proteome

Identifiers

PMID27667171
PMCPMC5077660

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.