Evidence map›Paper›PMID 18802034›Full record

ArticleStem cells (Dayton, Ohio)2008

Quantitative mass spectrometry identifies drug targets in cancer stem cell-containing side population.

Sebastian C J Steiniger, Judith A Coppinger, Jörg A Krüger, John Yates, Kim D Janda

Open access · bronzeAbstract read
In one paragraph

Article in Stem cells (Dayton, Ohio), 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
4.3field-weighted citation impact, top 6% 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

20 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
  2. Review
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  4. Article
  5. Cancer stem cells: a potential target for cancer therapy.Cellular and molecular life sciences : CMLS · 2015
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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 1 institution in 1 country.

Sebastian C J SteinigerThe Skaggs Institute for Chemical Biology and Department of Chemistry and Immunology, La Jolla, California 92037, USA.
Judith A Coppinger
Jörg A Krüger
John Yates
Kim D Janda
Scripps Research Institute · US

Funding

ZDS2P REGULATES SWE1P-DEPENDENT POLARIZED CELL GROWTH IN S CEREVISIAEP41RR011823 · NCRR · UNIVERSITY OF WASHINGTON · PI DAVIS, TRACY · 1996 to 2011
$24.7M
Proteomic Profiling of CFTR Protein InteractionR01HL079442 · NHLBI · SCRIPPS RESEARCH INSTITUTE, THE · PI BALCH, WILLIAM EDWARD, YATES III, JOHN R · 2005 to 2014
$4.6M
NCRR NIH HHS P41 RR011823NCRR NIH HHS P41RR011823NHLBI NIH HHS 1 R01 HL079442-01NHLBI NIH HHS R01 HL079442
6 · The paper itself

Abstract

A multifaceted approach is presented as a general strategy to identify new drug targets in a breast cancer stem cell-containing side population. The approach we have utilized combines side population cell sorting and stable isotope labeling by amino acids in cell culture with mass spectrometry to compare and identify proteins with differential expression profiles between side population cells, know to be enriched in cancer stem cells, and nonside population cells, which are depleted in cancer stem cells, for two breast cancer cell lines, MCF7 and MDA-MB231. Almost 900 proteins were quantified, and several important proteins in cell cycle control and differentiation were found to be upregulated in the cancer stem cell-containing side population. Most interestingly, a splice isoform of pyruvate kinase M2 as well as peroxiredoxin 6 were found to be downregulated. The differential levels of three of these proteins, thymosin beta4 (TB4), proliferation-associated protein 2G4, and SIAH-interacting protein, were validated using Western blot. Furthermore, functional validation provided clear evidence that elevated TB4 expression contributes to drug resistance in the stem cell population. Small interfering RNA silencing of TB4 led to a loss of chemoresistance in two separate breast cancer populations. These proteins likely contribute to resistance in the cancer stem cell-containing side population, and their altered expression in a tumor causes clinical resistance to chemotherapy. The ability to perform quantitative mass spectrometry has enabled the identification of a series of proteins that could serve as future therapeutic targets.

Indexed as

Gene Expression Regulation, NeoplasticAdaptor Proteins, Signal TransducingAnimalsAntineoplastic AgentsCell Line, TumorDNA-Binding ProteinsDrug Screening Assays, AntitumorFemaleHumansMass SpectrometryMiceMice, SCIDNeoplastic Stem CellsNuclear ProteinsPeroxiredoxin VIPyruvate KinaseAdaptor Proteins, Signal TransducingAntineoplastic AgentsDNA-Binding ProteinsNuclear ProteinsPA2G4 protein, humanPa2g4 protein, mousePeroxiredoxin VIPyruvate KinaseRNA-Binding ProteinsThymosin

Identifiers

PMID18802034
PMCPMC2745975
OpenAlexW1905548343

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.