Evidence map›Paper›PMID 34916290›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

Volumetric compression develops noise-driven single-cell heterogeneity.

Xing Zhao, Jiliang Hu, Yiwei Li, Ming Guo

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

26 citing papers in PubMed, 42 citations in OpenAlex.

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  15. Cancer spreading patterns based on epithelial-mesenchymal plasticity.Frontiers in cell and developmental biology · 2024
    Article
  16. Compression drives diverse transcriptomic and phenotypic adaptations in melanoma.Proceedings of the National Academy of Sciences of the United States of America · 2023
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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 at 3 institutions in 2 countries.

Xing ZhaoDepartment of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China.
Jiliang HuDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139.
Yiwei LiDepartment of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China; guom@mit.edu yiweili@hust.edu.cn.
Ming GuoDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139 guom@mit.edu yiweili@hust.edu.cn.ORCID 0000-0002-0016-4158
Massachusetts Institute of Technology · USBGI Group (China) · CNHuazhong University of Science and Technology · CN

Funding

Mechanobiology of Vimentin Intermediate Filaments in 3D Collective Cell MigrationR01GM140108 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GUO, MING, WONG, IAN Y · 2021 to 2025
$2.3M
NIGMS NIH HHS R01 GM140108
6 · The paper itself

Abstract

Recent studies have revealed that extensive heterogeneity of biological systems arises through various routes ranging from intracellular chromosome segregation to spatiotemporally varying biochemical stimulations. However, the contribution of physical microenvironments to single-cell heterogeneity remains largely unexplored. Here, we show that a homogeneous population of non-small-cell lung carcinoma develops into heterogeneous subpopulations upon application of a homogeneous physical compression, as shown by single-cell transcriptome profiling. The generated subpopulations stochastically gain the signature genes associated with epithelial-mesenchymal transition (EMT; VIM, CDH1, EPCAM, ZEB1, and ZEB2) and cancer stem cells (MKI67, BIRC5, and KLF4), respectively. Trajectory analysis revealed two bifurcated paths as cells evolving upon the physical compression, along each path the corresponding signature genes (epithelial or mesenchymal) gradually increase. Furthermore, we show that compression increases gene expression noise, which interplays with regulatory network architecture and thus generates differential cell-fate outcomes. The experimental observations of both single-cell sequencing and single-molecule fluorescent in situ hybridization agrees well with our computational modeling of regulatory network in the EMT process. These results demonstrate a paradigm of how mechanical stimulations impact cell-fate determination by altering transcription dynamics; moreover, we show a distinct path that the ecology and evolution of cancer interplay with their physical microenvironments from the view of mechanobiology and systems biology, with insight into the origin of single-cell heterogeneity.

Indexed as

Cell SizeBiomarkers, TumorBiophysical PhenomenaCarcinoma, Non-Small-Cell LungCell DifferentiationCell Line, TumorEpithelial-Mesenchymal TransitionGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansLung NeoplasmsNeoplastic Stem CellsSingle-Cell AnalysisTumor MicroenvironmentBiomarkers, Tumorcell fate decisioncell volumeheterogeneitymechanobiologysingle cell

Identifiers

PMID34916290
PMCPMC8713786
OpenAlexW4200055954

What OpenQuestion holds

Textmetadata
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.