Evidence map›Paper›PMID 35427160›Full record

ArticleScience advances2022

Jieung Baek, Paola A Lopez, Sangmin Lee, Taek-Soo Kim, Sanjay Kumar, David V Schaffer

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

37 citing papers in PubMed, 43 citations in OpenAlex.

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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

6 authors at 3 institutions in 2 countries.

Jieung BaekDepartment of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA.ORCID 0000-0001-5542-5928
Paola A LopezDepartment of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA.ORCID 0000-0002-7769-7200
Sangmin LeeDepartment of Mechanical Engineering, KAIST, 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea.
Taek-Soo KimDepartment of Mechanical Engineering, KAIST, 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea.ORCID 0000-0002-2825-7778
Sanjay KumarDepartment of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA.ORCID 0000-0002-9996-4883
David V SchafferDepartment of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA.ORCID 0000-0002-9625-0121
Berkeley College · USKorea Advanced Institute of Science and Technology · KRUniversity of California, Berkeley · US

Funding

Mechanisms of Neural Stem Cell MechanoregulationR01NS074831 · NINDS · UNIVERSITY OF CALIFORNIA BERKELEY · PI Sanjay Kumar, DAVID V SCHAFFER · 2012 to 2026
$5.9M
Acquisition of Covaris E220 and Sciclone G3 systems for high throughput sequencinS10OD010786 · OD · UNIVERSITY OF CALIFORNIA AT DAVIS · PI COMAI, LUCA · 2012 to 2012
$311k
NIH HHS S10 OD010786NINDS NIH HHS R01 NS074831
6 · The paper itself

Abstract

While extracellular matrix (ECM) mechanics strongly regulate stem cell commitment, the field's mechanistic understanding of this phenomenon largely derives from simplified two-dimensional (2D) culture substrates. Here, we found a 3D matrix-specific mechanoresponsive mechanism for neural stem cell (NSC) differentiation. NSC lineage commitment in 3D is maximally stiffness sensitive in the range of 0.1 to 1.2 kPa, a narrower and more brain-mimetic range than we had previously identified in 2D (0.75 to 75 kPa). Transcriptomics revealed stiffness-dependent up-regulation of early growth response 1 (

Indexed as

Neural Stem CellsCell DifferentiationCell LineageExtracellular MatrixNeurogenesis

Identifiers

PMID35427160
PMCPMC9012469
OpenAlexW4224080224

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.