Evidence map›Paper›PMID 28387482›Full record

ReviewWiley interdisciplinary reviews. Developmental biology2017

Proximity-dependent labeling methods for proteomic profiling in living cells.

Chiao-Lin Chen, Norbert Perrimon

Abstract readReview
In one paragraph

Review in Wiley interdisciplinary reviews. Developmental biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

42 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Cancers · 2025
    Review
  10. Article
  11. Comparison of two peroxidases with high potential for biotechnology applications - HRPComputational and structural biotechnology journal · 2024
    Article
  12. 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
  13. Article
  14. Article
  15. Article
  16. Article
  17. Influenza A virus exploits transferrin receptor recycling to enter host cells.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  18. Proximity Protein Labeling InJournal of biological methods · 2023
    Article
  19. Review
  20. 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

2 authors.

Chiao-Lin ChenDepartment of Genetics, Harvard Medical School, Boston, MA, USA.
Norbert PerrimonDepartment of Genetics, Harvard Medical School, Boston, MA, USA.

Funding

Tuberous Sclerosis-Pathway and PathogenesisP01CA120964 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI David J. Kwiatkowski · 2007 to 2026
$35.9M
Network analysis of Signal TransductionR01DK088718 · NIDDK · HARVARD MEDICAL SCHOOL · PI PERRIMON, NORBERT · 2010 to 2014
$2.5M
Effects of environmental stressors on mitochondrial-cellular cross-talkR21ES025615 · NIEHS · HARVARD MEDICAL SCHOOL · PI PERRIMON, NORBERT · 2015 to 2016
$453k
Howard Hughes Medical InstituteNCI NIH HHS P01 CA120964NIDDK NIH HHS R01 DK088718NIEHS NIH HHS R21 ES025615
6 · The paper itself

Abstract

Characterizing the proteome composition of organelles and subcellular regions of living cells can facilitate the understanding of cellular organization as well as protein interactome networks. Proximity labeling-based methods coupled with mass spectrometry (MS) offer a high-throughput approach for systematic analysis of spatially restricted proteomes. Proximity labeling utilizes enzymes that generate reactive radicals to covalently tag neighboring proteins with biotin. The biotinylated endogenous proteins can then be isolated for further analysis by MS. To analyze protein-protein interactions or identify components that localize to discrete subcellular compartments, spatial expression is achieved by fusing the enzyme to specific proteins or signal peptides that target to particular subcellular regions. Although these technologies have only been introduced recently, they have already provided deep insights into a wide range of biological processes. Here, we describe and compare current methods of proximity labeling as well as their applications. As each method has its own unique features, the goal of this review is to describe how different proximity labeling methods can be used to answer different biological questions. WIREs Dev Biol 2017, 6:e272. doi: 10.1002/wdev.272 For further resources related to this article, please visit the WIREs website.

Indexed as

AnimalsHumansIsotope LabelingProteomeProteomicsProteome

Identifiers

PMID28387482
PMCPMC5553119

What OpenQuestion holds

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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.