Evidence map›Paper›PMID 33941688›Full record

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

Delineating the heterogeneity of matrix-directed differentiation toward soft and stiff tissue lineages via single-cell profiling.

Shlomi Brielle, Danny Bavli, Alex Motzik, Yoav Kan-Tor, Xue Sun, Chen Kozulin, Batia Avni, Oren Ram, Amnon Buxboim

Open access · hybridAbstract 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
3.0field-weighted citation impact, top 8% 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, 36 citations in OpenAlex.

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  9. TiORegenerative biomaterials · 2025
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  16. Biophysical control of plasticity and patterning in regeneration and cancer.Cellular and molecular life sciences : CMLS · 2023
    Review
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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

9 authors at 2 institutions in 1 country.

Shlomi BrielleAlexander Grass Center for Bioengineering, Hebrew University of Jerusalem, 9190401 Jerusalem, Israel.ORCID 0000-0003-0109-9666
Danny BavliDepartment of Biological Chemistry, Hebrew University of Jerusalem, 9190401 Jerusalem, Israel.
Alex MotzikDepartment of Biological Chemistry, Hebrew University of Jerusalem, 9190401 Jerusalem, Israel.
Yoav Kan-TorRachel and Selim Benin School of Computer Science and Engineering, Hebrew University of Jerusalem, 9190401 Jerusalem, Israel.
Xue SunDepartment of Biological Chemistry, Hebrew University of Jerusalem, 9190401 Jerusalem, Israel.
Chen KozulinDepartment of Biological Chemistry, Hebrew University of Jerusalem, 9190401 Jerusalem, Israel.ORCID 0000-0001-5103-2545
Batia AvniDepartment of Bone Marrow Transplantation, Hadassah Medical Center, 91120 Jerusalem, Israel.ORCID 0000-0001-8516-2751
Oren RamDepartment of Biological Chemistry, Hebrew University of Jerusalem, 9190401 Jerusalem, Israel; oren.ram@mail.huji.ac.il amnon.buxboim@mail.huji.ac.il.ORCID 0000-0001-6341-5252
Amnon BuxboimAlexander Grass Center for Bioengineering, Hebrew University of Jerusalem, 9190401 Jerusalem, Israel; oren.ram@mail.huji.ac.il amnon.buxboim@mail.huji.ac.il.ORCID 0000-0003-2412-9792
Hebrew University of Jerusalem · ILHadassah Medical Center · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mesenchymal stromal/stem cells (MSCs) form a heterogeneous population of multipotent progenitors that contribute to tissue regeneration and homeostasis. MSCs assess extracellular elasticity by probing resistance to applied forces via adhesion, cytoskeletal, and nuclear mechanotransducers that direct differentiation toward soft or stiff tissue lineages. Even under controlled culture conditions, MSC differentiation exhibits substantial cell-to-cell variation that remains poorly characterized. By single-cell transcriptional profiling of nonconditioned, matrix-conditioned, and early differentiating cells, we identified distinct MSC subpopulations with distinct mechanosensitivities, differentiation capacities, and cell cycling. We show that soft matrices support adipogenesis of multipotent cells and early endochondral ossification of nonadipogenic cells, whereas intramembranous ossification and preosteoblast proliferation are directed by stiff matrices. Using diffusion pseudotime mapping, we outline hierarchical matrix-directed differentiation and perform whole-genome screening of mechanoresponsive genes. Specifically, top-ranked tropomyosin-1 is highly sensitive to stiffness cues both at RNA and protein levels, and changes in TPM1 expression determine the differentiation toward soft versus stiff tissue lineage. Consistent with actin stress fiber stabilization, tropomyosin-1 overexpression maintains YAP1 nuclear localization, activates YAP1 target genes, and directs osteogenic differentiation. Knockdown of tropomyosin-1 reversed YAP1 nuclear localization consistent with relaxation of cellular contractility, suppressed osteogenesis, activated early endochondral ossification genes after 3 d of culture in induction medium, and facilitated adipogenic differentiation after 1 wk. Our results delineate cell-to-cell variation of matrix-directed MSC differentiation and highlight tropomyosin-mediated matrix sensing.

Indexed as

Genetic HeterogeneityAdipogenesisCell CycleCell DifferentiationCell NucleusCytoskeletonElasticityHEK293 CellsHomeostasisHumansMesenchymal Stem CellsOsteogenesisSingle-Cell AnalysisTropomyosinTPM1 protein, humanTropomyosincell heterogeneitymechanobiologymesenchymal stem cellssingle-cell analysistropomyosin

Identifiers

PMID33941688
PMCPMC8126831
OpenAlexW3159551884

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.