Evidence map›Paper›PMID 19911851›Full record

ArticleJournal of proteome research2010

Quantitative organelle proteomics of MCF-7 breast cancer cells reveals multiple subcellular locations for proteins in cellular functional processes.

Amal T Qattan, Claire Mulvey, Mark Crawford, Darren A Natale, Jasminka Godovac-Zimmermann

Open access · greenAbstract read
In one paragraph

Article in Journal of proteome research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

21 citing papers in PubMed, 39 citations in OpenAlex.

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  5. Common methods in mitochondrial research (Review).International journal of molecular medicine · 2022
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  17. Proteomic analysis of lipid raft-enriched membranes isolated from internal organelles.Biochemical and biophysical research communications · 2011
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  18. 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

5 authors at 3 institutions in 2 countries.

Amal T QattanDivision of Medicine, University College London, 5 University Street, London WC1E 6JF, United Kingdom.
Claire Mulvey
Mark Crawford
Darren A Natale
Jasminka Godovac-Zimmermann
Georgetown University · USGeorgetown University Medical Center · USUniversity College London · GB

Funding

Wellcome Trust 081879
6 · The paper itself

Abstract

We have combined sucrose density gradient subcellular fractionation with quantitative, tandem-mass-spectrometry-based shotgun proteomics to investigate spatial distributions of proteins in MCF-7 breast cancer cells. Emphasis was placed on four major organellar compartments: cytosol, plasma membrane, endoplasmic reticulum, and mitochondrion. Two-thousand one-hundred eighty-four proteins were securely identified. Four-hundred eighty-one proteins (22.0% of total proteins identified) were found in unique sucrose gradient fractions, suggesting they may have unique subcellular locations. 454 proteins (20.8%) were found to be ubiquitously distributed. The remaining 1249 proteins (57.2%) were consistent with intermediate distribution over multiple, but not all, subcellular locations. Ninety-four proteins implicated in breast cancer and 478 other proteins which share the same five major cellular biological processes with a majority of the breast cancer proteins were observed in 334 and 1223 subcellular locations, respectively. The data obtained is used to evaluate the possibility of defining more exact sets of subcellular organelles, the completeness of current descriptions of spatial distribution of cellular proteins, the importance of multiple subcellular locations for proteins in functional processes, the subcellular distribution of proteins related to breast cancer, and the possibility of using these methods for dynamic spatio/temporal studies of function/regulation in MCF-7 breast cancer cells.

Indexed as

Breast NeoplasmsCentrifugation, Density GradientCluster AnalysisFemaleHumansNeoplasm ProteinsOrganellesProteomicsSubcellular FractionsSucroseTandem Mass SpectrometryNeoplasm ProteinsSucrose

Identifiers

PMID19911851
PMCPMC4261601
OpenAlexW2094530647

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.