Evidence map›Paper›PMID 40585428›Full record

ArticlePRX life2024

Transiently increased coordination in gene regulation during cell phenotypic transitions.

Weikang Wang, Ke Ni, Dante Poe, Jianhua Xing

Abstract read
In one paragraph

Article in PRX life, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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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

4 authors.

Weikang WangCAS Key Laboratory of Theoretical Physics, Institute of Theoretical Physics, Chinese Academy of Sciences, Beijing 100190, China.
Ke NiJoint CMU-Pitt Ph.D. Program in Computational Biology, University of Pittsburgh, Pittsburgh, PA, USA.
Dante PoeJoint CMU-Pitt Ph.D. Program in Computational Biology, University of Pittsburgh, Pittsburgh, PA, USA.
Jianhua XingDepartment of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.

Funding

Integrated Interdisciplinary, inter-university PhD Program Computational Biology (T32)T32EB009403 · NIBIB · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BAHAR, IVET, BAR-JOSEPH, ZIV · 2009 to 2023
$4.4M
Three-dimensional organoid models to study breast cancer progressionR37CA232209 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SANT, SHILPA · 2018 to 2024
$3.0M
Role of the Snail1-Twist-p21 axis on cell cycle arrest and renal fibrosis developmentR01DK119232 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI XING, JIANHUA · 2019 to 2022
$1.4M
Learn Systems Biology Equations From Snapshot Single Cell Genomic DataR01GM148525 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Jianhua Xing · 2023 to 2026
$1.3M
Coupling between cell cycle arrest and epithelial-to-mesenchymal transition in renal fibrosis developmentR56DK119232 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI XING, JIANHUA · 2023 to 2023
$100k
NCI NIH HHS R37 CA232209NIBIB NIH HHS T32 EB009403NIDDK NIH HHS R01 DK119232NIDDK NIH HHS R56 DK119232NIGMS NIH HHS R01 GM148525
6 · The paper itself

Abstract

Phenotype transitions occur in many biological processes such as differentiation and reprogramming. A fundamental question is how cells coordinate switching of gene expression clusters. By analyzing single-cell RNA sequencing data within the framework of transition path theory, we studied the genome-wide expression program switching in five different cell transition processes. For each process we reconstructed a reaction coordinate describing the transition progression, and inferred the gene regulatory network along this reaction coordinate. In all processes we observed a common pattern: the overall effective number and strength of regulation between different communities increase first and then decrease. This change is accompanied by similar changes in gene regulatory network frustration-defined as the overall conflict between the regulation received by genes and their expression states. Complementing previous studies suggesting that biological networks are modularized to contain perturbation effects locally, our analyses on the five cell transition processes likely reveal a general principle: during a cell phenotypic transition, intercommunity interactions increase to concertedly coordinate global gene expression reprogramming and canalize to specific cell phenotype, as Waddington visioned.

Identifiers

PMID40585428
PMCPMC12204605

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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.