Evidence map›Paper›PMID 29308439›Full record

ArticleCurrent opinion in systems biology2018

Robustness, Accuracy, and Cell State Heterogeneity in Biological Systems.

Roy Wollman

Abstract read
In one paragraph

Article in Current opinion in systems biology, 2018. 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
–field-weighted citation impact
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.

  1. Article
  2. Article
  3. Article
  4. bioRxiv : the preprint server for biology · 2024
    Article
  5. Article
  6. Temporal signals drive the emergence of multicellular information networks.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  7. Finding new edges: systems approaches to MTOR signaling.Biochemical Society transactions · 2021
    Review
  8. Article
  9. Article
  10. High-Throughput Automated Single-Cell Imaging Analysis Reveals Dynamics of Glioblastoma Stem Cell Population During State Transition.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2019
    Article
  11. Article
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

1 author.

Roy Wollman

Funding

The Spread of Noisy Information in Corneal Epithelial Wound Response SignalingR01EY024960 · NEI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI WOLLMAN, ROY · 2015 to 2019
$1.8M
Reliable Signal TransductionR01GM111404 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI WOLLMAN, ROY · 2015 to 2018
$1.5M
NEI NIH HHS R01 EY024960NIGMS NIH HHS R01 GM111404
6 · The paper itself

Abstract

The robustness of biological systems is often depicted as a key system-level emergent property that allows uniform phenotypes in fluctuating environments. Yet, analysis of single-cell signaling responses identified multiple examples of cellular responses with high degrees of heterogeneity. Here we discuss the implications of the observed lack of response accuracy in the context of new observations coming from single-cell approaches. Single-cell approaches provide a new way to measure the abundance of thousands of molecular species in a single-cell. Repeatedly, analysis of cell distributions identifies clusters within these distributions where cells can be grouped into specific cell states. If cells in a population occupy distinct cell states, the observed variable response could in fact be accurate for each cell conditioned on its own internal state. In this view, the observed lack of accuracy, i.e. response heterogeneity, could in fact be beneficial and a potentially regulated feature of cell state variability. Therefore, to truly determine whether the observed response heterogeneity is a desired property or a physical limitation, future analysis of signaling heterogeneity must take into account the internal states of cells in the population.

Identifiers

PMID29308439
PMCPMC5752152

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Registered trials

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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.