Evidence map›Paper›PMID 29851566›Full record

ArticleMolecular biology of the cell2018

Robustness and evolvability of heterogeneous cell populations.

Andrei Kucharavy, Boris Rubinstein, Jin Zhu, Rong Li

Abstract read
In one paragraph

Article in Molecular biology of the cell, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. A fitness trade-off explains the early fate of yeast aneuploids with chromosome gains.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  3. Meta-Dynamic Network Modelling for Biochemical Networks.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  4. Effects of aneuploidy on cell behaviour and function.Nature reviews. Molecular cell biology · 2022
    Review
  5. Review
  6. AXL Targeting Abrogates Autophagic Flux and Induces Immunogenic Cell Death in Drug-Resistant Cancer Cells.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2020
    Article
  7. 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

4 authors.

Andrei KucharavyCenter for Cell Dynamics, Department of Cell Biology, Johns Hopkins University School of Medicine, Baltimore, MD 21205.
Boris RubinsteinStowers Institute for Medical Research, Kansas City, MO 64110.
Jin ZhuCenter for Cell Dynamics, Department of Cell Biology, Johns Hopkins University School of Medicine, Baltimore, MD 21205.
Rong LiCenter for Cell Dynamics, Department of Cell Biology, Johns Hopkins University School of Medicine, Baltimore, MD 21205.

Funding

Cellular dynamics in division, motility and evolutionary adaptationR35GM118172 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI LI, RONG · 2016 to 2019
$2.8M
NIGMS NIH HHS R35 GM118172
6 · The paper itself

Abstract

Biological systems are endowed with two fundamental but seemingly contradictory properties: robustness, the ability to withstand environmental fluctuations and genetic variability; and evolvability, the ability to acquire selectable and heritable phenotypic changes. Cell populations with heterogeneous genetic makeup, such as those of infectious microbial organisms or cancer, rely on their inherent robustness to maintain viability and fitness, but when encountering environmental insults, such as drug treatment, these populations are also poised for rapid adaptation through evolutionary selection. In this study, we develop a general mathematical model that allows us to explain and quantify this fundamental relationship between robustness and evolvability of heterogeneous cell populations. Our model predicts that robustness is, in fact, essential for evolvability, especially for more adverse environments, a trend we observe in aneuploid budding yeast and breast cancer cells. Robustness also compensates for the negative impact of the systems' complexity on their evolvability. Our model also provides a mathematical means to estimate the number of independent processes underlying a system's performance and identify the most generally adapted subpopulation, which may resemble the multi-drug-resistant "persister" cells observed in cancer.

Indexed as

Adaptation, PhysiologicalAneuploidyBreast NeoplasmsCell Line, TumorCellsFemaleHumansModels, BiologicalSaccharomyces cerevisiaeStress, Physiological

Identifiers

PMID29851566
PMCPMC5994894

What OpenQuestion holds

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LicenceCC BY-NC-SA
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.