Evidence map›Paper›PMID 24733941›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2014

Glioblastoma cellular architectures are predicted through the characterization of two-cell interactions.

Nataly Kravchenko-Balasha, Jun Wang, Francoise Remacle, R D Levine, James R Heath

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
10.7field-weighted citation impact, top 1% 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

28 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Deciphering Cell-Cell Interactions with Integrative Single-Cell Secretion Profiling.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Receptor-Targeted Glial Brain Tumor Therapies.International journal of molecular sciences · 2018
    Review
  11. Personalized disease signatures through information-theoretic compaction of big cancer data.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Intercellular signaling through secreted proteins induces free-energy gradient-directed cell movement.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  19. Extracellular Vesicles in Brain Tumor Progression.Cellular and molecular neurobiology · 2016
    Review
  20. Review
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 3 countries.

Nataly Kravchenko-BalashaNanoSystems Biology Cancer Center, Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125.
Jun Wang
Francoise Remacle
R D Levine
James R Heath
California Institute of Technology · USUniversity of California, Los Angeles · USUniversity of Liège · BE

Funding

QUANTITATIVE IMAGE ANALYSIS SPECIALIZED RESOURCE COREU54CA119347 · NCI · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI HEATH, JAMES R. · 2005 to 2009
$17.8M
NCI NIH HHS 5U54 CA119347NCI NIH HHS U54 CA119347
6 · The paper itself

Abstract

To understand how pairwise cellular interactions influence cellular architectures, we measured the levels of functional proteins associated with EGF receptor (EGFR) signaling in pairs of U87EGFR variant III oncogene receptor cells (U87EGFRvIII) at varying cell separations. Using a thermodynamics-derived approach we analyzed the cell-separation dependence of the signaling stability, and identified that the stable steady state of EGFR signaling exists when two U87EGFRvIII cells are separated by 80-100 μm. This distance range was verified as the characteristic intercellular separation within bulk cell cultures. EGFR protein network signaling coordination for the U87EGFRvIII system was lowest at the stable state and most similar to isolated cell signaling. Measurements of cultures of less tumorigenic U87PTEN cells were then used to correctly predict that stable EGFR signaling occurs for those cells at smaller cell-cell separations. The intimate relationship between functional protein levels and cellular architectures explains the scattered nature of U87EGFRvIII cells relative to U87PTEN cells in glioblastoma multiforme tumors.

Indexed as

Cell CommunicationBrain NeoplasmsCell Line, TumorErbB ReceptorsGlioblastomaHumansModels, BiologicalReproducibility of ResultsSignal TransductionSingle-Cell AnalysisErbB Receptorsbiological steady statecancer cell–cell signalingGBMsurprisal analysistwo-body cell–cell interaction

Identifiers

PMID24733941
PMCPMC4035957
OpenAlexW2161120164

What OpenQuestion holds

Textmetadata
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.