Evidence map›Paper›PMID 36809239›Full record

ArticlePLoS computational biology2023

Phenotypic pliancy and the breakdown of epigenetic polycomb mechanisms.

Maryl Lambros, Yehonatan Sella, Aviv Bergman

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Epigenetic Regulation in Drosophila Tumor Models.Advances in experimental medicine and biology · 2025
    Review
  2. Epigenetic clocks and programmatic aging.Ageing research reviews · 2024
    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

3 authors at 1 institution in 1 country.

Maryl LambrosDepartment of Systems and Computational Biology, Albert Einstein College of Medicine, Bronx, New York, United States of America.ORCID 0000-0002-8434-2459
Yehonatan SellaDepartment of Systems and Computational Biology, Albert Einstein College of Medicine, Bronx, New York, United States of America.
Aviv BergmanDepartment of Systems and Computational Biology, Albert Einstein College of Medicine, Bronx, New York, United States of America.ORCID 0000-0002-6340-2125
Albert Einstein College of Medicine · US

Funding

In Vivo Multiphoton Based Imaging of Complex Cancer Cell BehaviorR01CA164468 · NCI · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI VERKHUSHA, VLADISLAV · 2011 to 2015
$3.8M
Systems biology analysis of in vivo impact of substance abuse on HIV infectionR01DA033788 · NIDA · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI GOLDSTEIN, HARRIS · 2012 to 2016
$3.0M
NCI NIH HHS R01 CA164468NIDA NIH HHS R01 DA033788
6 · The paper itself

Abstract

Epigenetic regulatory mechanisms allow multicellular organisms to develop distinct specialized cell identities despite having the same total genome. Cell-fate choices are based on gene expression programs and environmental cues that cells experience during embryonic development, and are usually maintained throughout the life of the organism despite new environmental cues. The evolutionarily conserved Polycomb group (PcG) proteins form Polycomb Repressive Complexes that help orchestrate these developmental choices. Post-development, these complexes actively maintain the resulting cell fate, even in the face of environmental perturbations. Given the crucial role of these polycomb mechanisms in providing phenotypic fidelity (i.e. maintenance of cell fate), we hypothesize that their dysregulation after development will lead to decreased phenotypic fidelity allowing dysregulated cells to sustainably switch their phenotype in response to environmental changes. We call this abnormal phenotypic switching phenotypic pliancy. We introduce a general computational evolutionary model that allows us to test our systems-level phenotypic pliancy hypothesis in-silico and in a context-independent manner. We find that 1) phenotypic fidelity is an emergent systems-level property of PcG-like mechanism evolution, and 2) phenotypic pliancy is an emergent systems-level property resulting from this mechanism's dysregulation. Since there is evidence that metastatic cells behave in a phenotypically pliant manner, we hypothesize that progression to metastasis is driven by the emergence of phenotypic pliancy in cancer cells as a result of PcG mechanism dysregulation. We corroborate our hypothesis using single-cell RNA-sequencing data from metastatic cancers. We find that metastatic cancer cells are phenotypically pliant in the same manner as predicted by our model.

Indexed as

Drosophila ProteinsNeoplasmsCell DifferentiationEpigenesis, GeneticHumansPhenotypePolycomb-Group ProteinsDrosophila ProteinsPolycomb-Group Proteins

Identifiers

PMID36809239
PMCPMC9983867
OpenAlexW4321436415

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.