Evidence map›Paper›PMID 29899353›Full record

ArticleNature communications2018

A quantitative mass spectrometry-based approach to monitor the dynamics of endogenous chromatin-associated protein complexes.

Evangelia K Papachristou, Kamal Kishore, Andrew N Holding, Kate Harvey, Theodoros I Roumeliotis, Chandra Sekhar Reddy Chilamakuri, Soleilmane Omarjee, Kee Ming Chia, Alex Swarbrick, Elgene Lim and 5 more

Abstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 100 papers.

0numbers the graph read from it
0cells of the map it votes in
100citing 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

100 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. TRIM24 as a therapeutic target in endocrine treatment-resistant breast cancer.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  19. Article
  20. Article

40 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

15 authors.

Evangelia K PapachristouCancer Research UK Cambridge Institute, University of Cambridge, Robinson Way, Cambridge, CB2 0RE, UK.ORCID http://orcid.org/0000-0002-5835-2055
Kamal KishoreCancer Research UK Cambridge Institute, University of Cambridge, Robinson Way, Cambridge, CB2 0RE, UK.
Andrew N HoldingCancer Research UK Cambridge Institute, University of Cambridge, Robinson Way, Cambridge, CB2 0RE, UK.
Kate HarveyGarvan Institute of Medical Research, Darlinghurst, Sydney, NSW 2010, Australia.
Theodoros I RoumeliotisWellcome Trust Sanger Institute, Wellcome Genome Campus, Cambridge, CB10 1SA, UK.
Chandra Sekhar Reddy ChilamakuriCancer Research UK Cambridge Institute, University of Cambridge, Robinson Way, Cambridge, CB2 0RE, UK.
Soleilmane OmarjeeCancer Research UK Cambridge Institute, University of Cambridge, Robinson Way, Cambridge, CB2 0RE, UK.
Kee Ming ChiaGarvan Institute of Medical Research, Darlinghurst, Sydney, NSW 2010, Australia.
Alex SwarbrickGarvan Institute of Medical Research, Darlinghurst, Sydney, NSW 2010, Australia.
Elgene LimGarvan Institute of Medical Research, Darlinghurst, Sydney, NSW 2010, Australia.
Florian MarkowetzCancer Research UK Cambridge Institute, University of Cambridge, Robinson Way, Cambridge, CB2 0RE, UK.ORCID http://orcid.org/0000-0002-2784-5308
Matthew EldridgeCancer Research UK Cambridge Institute, University of Cambridge, Robinson Way, Cambridge, CB2 0RE, UK.
Rasmus SiersbaekCancer Research UK Cambridge Institute, University of Cambridge, Robinson Way, Cambridge, CB2 0RE, UK. Rasmus.Siersbaek@cruk.cam.ac.uk.
Clive S D'SantosCancer Research UK Cambridge Institute, University of Cambridge, Robinson Way, Cambridge, CB2 0RE, UK. Clive.D'Santos@cruk.cam.ac.uk.
Jason S CarrollCancer Research UK Cambridge Institute, University of Cambridge, Robinson Way, Cambridge, CB2 0RE, UK. Jason.Carroll@cruk.cam.ac.uk.

Funding

Cancer Research UK 19274Cancer Research UK 20411
6 · The paper itself

Abstract

Understanding the dynamics of endogenous protein-protein interactions in complex networks is pivotal in deciphering disease mechanisms. To enable the in-depth analysis of protein interactions in chromatin-associated protein complexes, we have previously developed a method termed RIME (Rapid Immunoprecipitation Mass spectrometry of Endogenous proteins). Here, we present a quantitative multiplexed method (qPLEX-RIME), which integrates RIME with isobaric labelling and tribrid mass spectrometry for the study of protein interactome dynamics in a quantitative fashion with increased sensitivity. Using the qPLEX-RIME method, we delineate the temporal changes of the Estrogen Receptor alpha (ERα) interactome in breast cancer cells treated with 4-hydroxytamoxifen. Furthermore, we identify endogenous ERα-associated proteins in human Patient-Derived Xenograft tumours and in primary human breast cancer clinical tissue. Our results demonstrate that the combination of RIME with isobaric labelling offers a powerful tool for the in-depth and quantitative characterisation of protein interactome dynamics, which is applicable to clinical samples.

Indexed as

AnimalsBreast NeoplasmsChromatinEstrogen Receptor alphaFemaleHeterograftsHumansMass SpectrometryMCF-7 CellsMiceMultiprotein ComplexesProtein Interaction MappingProtein Interaction MapsSelective Estrogen Receptor ModulatorsTamoxifenafimoxifeneChromatinESR1 protein, humanEstrogen Receptor alphaMultiprotein ComplexesSelective Estrogen Receptor ModulatorsTamoxifen

Identifiers

PMID29899353
PMCPMC5998130

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.