Evidence map›Paper›PMID 20157838›Full record

ReviewCellular and molecular life sciences : CMLS2010

Crossing paths: interactions between the cell death machinery and growth factor survival signals.

Gabriela Brumatti, Marika Salmanidis, Paul G Ekert

Open access · greenAbstract readReview
In one paragraph

Review in Cellular and molecular life sciences : CMLS, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

43 citing papers in PubMed, 81 citations in OpenAlex.

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  13. Mitochondrial quality control in health and cardiovascular diseases.Frontiers in cell and developmental biology · 2023
    Review
  14. Endoplasmic Reticulum Stress Signaling and Neuronal Cell Death.International journal of molecular sciences · 2022
    Review
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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

3 authors at 2 institutions in 1 country.

Gabriela BrumattiChildren's Cancer Centre, Murdoch Children's Research Institute, Royal Children's Hospital, Department of Paediatrics, University of Melbourne, Flemington Rd Parkville, Melbourne, 3052, Australia. gabriela.brumatti@mcri.edu.au
Marika Salmanidis
Paul G Ekert
University of Melbourne · AURoyal Children's Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cytokines and growth factors play a crucial role in the maintenance of haematopoietic homeostasis. They transduce signals that regulate the competing commitments of haematopoietic stem cells, quiescence or proliferation, retention of stem cell pluripotency or differentiation, and survival or demise. When the balance between these commitments and the requirements of the organisms is disturbed, particularly when it favours survival and proliferation, cancer may result. Cell death provoked by loss of growth factor signalling is regulated by the Bcl-2 family of apoptosis regulators, and thus survival messages transduced by growth factors must regulate the activity of these proteins. Many aspects of direct interactions between cytokine signalling and regulation of apoptosis remain elusive. In this review, we explore the mechanisms by which cytokines, in particular Interleukin-3 and granulocyte-macrophage colony-stimulating factor, promote cell survival and suppress apoptosis as models of how cytokine signalling and apoptotic pathways intersect.

Indexed as

Signal TransductionAnimalsCell DeathCell SurvivalHumansIntercellular Signaling Peptides and ProteinsNeoplasmsProto-Oncogene Proteins c-bcl-2Intercellular Signaling Peptides and ProteinsProto-Oncogene Proteins c-bcl-2

Identifiers

PMID20157838
PMCPMC11115775
OpenAlexW2072461625

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.