Evidence map›Paper›PMID 38553870›Full record

ReviewGenesis (New York, N.Y. : 2000)2024

Data- and theory-driven approaches for understanding paths of epithelial-mesenchymal transition.

Tian Hong, Jianhua Xing

Abstract readReview
In one paragraph

Review in Genesis (New York, N.Y. : 2000), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Review
  6. 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

2 authors.

Tian HongDepartment of Biochemistry & Cellular and Molecular Biology, The University of Tennessee, Knoxville, Tennessee, USA.
Jianhua XingDepartment of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0002-3700-8765

Funding

Modeling transcriptional and post-transcriptional systems for regulating non-genetic heterogeneity in mammalian cellsR35GM149531 · NIGMS · UNIVERSITY OF TEXAS DALLAS · PI Tian Hong · 2023 to 2026
$1.5M
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
NIDDK NIH HHS R56 DK119232NIDDK NIH HHS R56DK119232NIGMS NIH HHS R01 GM148525NIGMS NIH HHS R01GM148525NIGMS NIH HHS R35 GM149531NIGMS NIH HHS R35GM149531
6 · The paper itself

Abstract

Reversible transitions between epithelial and mesenchymal cell states are a crucial form of epithelial plasticity for development and disease progression. Recent experimental data and mechanistic models showed multiple intermediate epithelial-mesenchymal transition (EMT) states as well as trajectories of EMT underpinned by complex gene regulatory networks. In this review, we summarize recent progress in quantifying EMT and characterizing EMT paths with computational methods and quantitative experiments including omics-level measurements. We provide perspectives on how these studies can help relating fundamental cell biology to physiological and pathological outcomes of EMT.

Indexed as

Epithelial-Mesenchymal TransitionGene Regulatory Networksfate specification processgenomics processtranscription process

Identifiers

PMID38553870
PMCPMC11017362

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.