Evidence map›Paper›PMID 21150319›Full record

ArticleCell cycle (Georgetown, Tex.)2010

Proteomic profiling of Myc-associated proteins.

Pooja Agrawal, Kebing Yu, Arthur R Salomon, John M Sedivy

Open access · hybridAbstract read
In one paragraph

Article in Cell cycle (Georgetown, Tex.), 2010. 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
2.4field-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

42 citing papers in PubMed, 68 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. MYC: a complex problem.Trends in cell biology · 2023
    Review
  6. Article
  7. INSM1 promotes breast carcinogenesis by regulating C-MYC.American journal of cancer research · 2023
    Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Pooja AgrawalDepartment of Molecular Biology, Cell Biology and Biochemistry, Brown University, Providence, RI, USA.
Kebing Yu
Arthur R Salomon
John M Sedivy
Providence College · USBrown University · USMarin Community Foundation · US

Funding

WNT SIGNALING IN HEPATOCELLULAR CARCINOMAP20RR015578 · NCRR · BROWN UNIVERSITY · PI THOMPSON, WILLIAM ALBERT · 2000 to 2009
$22.8M
Effectors of cellular senescence statesR37AG016694 · NIA · BROWN UNIVERSITY · PI SEDIVY, JOHN M · 2009 to 2018
$3.2M
GENETIC STUDIES OF C-MYC GENE FUNTION IN THE CELL CYCLER01GM041690 · NIGMS · YALE UNIVERSITY · PI SEDIVY, JOHN M. · 1990 to 2006
$2.6M
NCRR NIH HHS P20 RR015578NIA NIH HHS R37 AG016694NIGMS NIH HHS R01 GM040960NIGMS NIH HHS R01 GM041690
6 · The paper itself

Abstract

Mammalian c-Myc is a member of a small family of three closely related transcription factors. The Myc family of proto-oncogenes are among the most potent activators of tumorigenesis, and are frequently overexpressed in diverse cancers. c-Myc has an unusually broad array of regulatory functions, which include, in addition to roles in the cell cycle and apoptosis, effects on a variety of metabolic functions, cell differentiation, senescence, and stem cell maintenance. A significant number of c-Myc interacting proteins have already been defined, but it is widely believed that the c-Myc interactome is vastly larger than currently documented. In addition to interactions with components of the transcription machinery, transcription independent nuclear interactions with the DNA replication and RNA processing pathways have been reported. Cytoplasmic roles of c-Myc have also been recently substantiated. Recent advances in proteomics have opened new possibilities for the isolation of protein complexes under native conditions and confidently identifying the components using ultrasensitive, high mass accuracy and high resolution mass spectrometry techniques. In this communication we report a new tandem affinity purification (TAP) c-Myc interaction screen that employed new cell lines with near-physiological levels of c-Myc expression with multi-dimensional protein identification techniques (MudPIT) for the detection and quantification of proteins. Both label-free and the recently developed stable isotope labeling with amino acids in cell culture (SILAC) methodologies were used. Combined data from multiple biological replicates provided a dataset of 418 non-redundant proteins, 389 of which are putative novel interactors. This new information should significantly advance our understanding of this interesting and important master regulator.

Indexed as

AnimalsCell LineChromatography, AffinityGene Expression ProfilingHumansMiceProteomeProteomicsProto-Oncogene Proteins c-mycRecombinant Fusion ProteinsTandem Mass SpectrometryProteomeProto-Oncogene Proteins c-mycRecombinant Fusion Proteins

Identifiers

PMID21150319
PMCPMC3047814
OpenAlexW2001122852

What OpenQuestion holds

Textmetadata
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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.