Evidence map›Paper›PMID 17536163›Full record

ArticleJournal of biosciences2007

Molecular chaperones: the modular evolution of cellular networks.

Tamás Korcsmáros, István A Kovács, Máté S Szalay, Péter Csermely

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of biosciences, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

17 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
  2. Review
  3. Chaperome Networks - Redundancy and Implications for Cancer Treatment.Advances in experimental medicine and biology · 2020
    Review
  4. Pervasive convergent evolution and extreme phenotypes define chaperone requirements of protein homeostasis.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  5. Article
  6. Article
  7. Elements of the cellular metabolic structure.Frontiers in molecular biosciences · 2015
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Functional organization of the yeast proteome by a yeast interactome map.Proceedings of the National Academy of Sciences of the United States of America · 2009
    Article
  15. Article
  16. Article
  17. 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

4 authors at 1 institution in 1 country.

Tamás KorcsmárosDepartment of Medical Chemistry, Semmelweis University, Budapest, Hungary.
István A Kovács
Máté S Szalay
Péter Csermely
Semmelweis University · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular chaperones play a prominent role in signaling and transcriptional regulatory networks of the cell. Recent advances uncovered that chaperones act as genetic buffers stabilizing the phenotype of various cells and organisms and may serve as potential regulators of evolvability. Chaperones have weak links, connect hubs, are in the overlaps of network modules and may uncouple these modules during stress,which gives an additional protection for the cell at the network-level. Moreover,after stress chaperones are essential to re-build inter-modular contacts by their low affinity sampling of the potential interaction partners in different modules. This opens the way to the chaperone-regulated modular evolution of cellular networks,and helps us to design novel therapeutic and anti-aging strategies.

Indexed as

Biological EvolutionCell DeathGene Expression RegulationHeat-Shock ProteinsModels, BiologicalMolecular ChaperonesProtein IsoformsSignal TransductionHeat-Shock ProteinsMolecular ChaperonesProtein Isoforms

Identifiers

PMID17536163
OpenAlexW2593186863

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.