Evidence map›Paper›PMID 33659881›Full record

ArticleiScience2021

Signaling Heterogeneity is Defined by Pathway Architecture and Intercellular Variability in Protein Expression.

Dougall Norris, Pengyi Yang, Sung-Young Shin, Alison L Kearney, Hani Jieun Kim, Thomas Geddes, Alistair M Senior, Daniel J Fazakerley, Lan K Nguyen, David E James and 1 more

Open access · goldAbstract read
In one paragraph

Article in iScience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

11 citing papers in PubMed, 25 citations in OpenAlex.

  1. Review
  2. Article
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  5. Article
  6. Meta-Dynamic Network Modelling for Biochemical Networks.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  7. Article
  8. 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

11 authors at 2 institutions in 1 country.

Dougall NorrisCharles Perkins Centre, The University of Sydney, Sydney, NSW 2006, Australia.
Pengyi YangCharles Perkins Centre, The University of Sydney, Sydney, NSW 2006, Australia.
Sung-Young ShinDepartment of Biochemistry and Molecular Biology, School of Biomedical Sciences, Monash University, Clayton, VIC 3800, Australia.
Alison L KearneyCharles Perkins Centre, The University of Sydney, Sydney, NSW 2006, Australia.
Hani Jieun KimCharles Perkins Centre, The University of Sydney, Sydney, NSW 2006, Australia.
Thomas GeddesCharles Perkins Centre, The University of Sydney, Sydney, NSW 2006, Australia.
Alistair M SeniorCharles Perkins Centre, The University of Sydney, Sydney, NSW 2006, Australia.
Daniel J FazakerleyCharles Perkins Centre, The University of Sydney, Sydney, NSW 2006, Australia.
Lan K NguyenDepartment of Biochemistry and Molecular Biology, School of Biomedical Sciences, Monash University, Clayton, VIC 3800, Australia.
David E JamesCharles Perkins Centre, The University of Sydney, Sydney, NSW 2006, Australia.
James G BurchfieldCharles Perkins Centre, The University of Sydney, Sydney, NSW 2006, Australia.
The University of Sydney · AUAustralian Regenerative Medicine Institute · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Insulin's activation of PI3K/Akt signaling, stimulates glucose uptake by enhancing delivery of GLUT4 to the cell surface. Here we examined the origins of intercellular heterogeneity in insulin signaling. Akt activation alone accounted for ~25% of the variance in GLUT4, indicating that additional sources of variance exist. The Akt and GLUT4 responses were highly reproducible within the same cell, suggesting the variance is between cells (extrinsic) and not within cells (intrinsic). Generalized mechanistic models (supported by experimental observations) demonstrated that the correlation between the steady-state levels of two measured signaling processes decreases with increasing distance from each other and that intercellular variation in protein expression (as an example of extrinsic variance) is sufficient to account for the variance in and between Akt and GLUT4. Thus, the response of a population to insulin signaling is underpinned by considerable single-cell heterogeneity that is largely driven by variance in gene/protein expression between cells.

Indexed as

Cell BiologyExperimental Models in Systems BiologyMathematical BiosciencesSystems Biology

Identifiers

PMID33659881
PMCPMC7892930
OpenAlexW3126828074

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.