Evidence map›Paper›PMID 34028539›Full record

ArticleJournal of cell science2021

Spatial distribution of lamin A/C determines nuclear stiffness and stress-mediated deformation.

Luv Kishore Srivastava, Zhaoping Ju, Ajinkya Ghagre, Allen J Ehrlicher

Open access · hybridAbstract read
In one paragraph

Article in Journal of cell science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

40 citing papers in PubMed, 56 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

4 authors at 1 institution in 1 country.

Luv Kishore SrivastavaDepartment of Bioengineering, McGill University, Montreal H3A 0E9.
Zhaoping JuDepartment of Anatomy and Cell Biology, McGill University, Montreal H3A 0C7, Canada.ORCID 0000-0002-2196-279X
Ajinkya GhagreDepartment of Bioengineering, McGill University, Montreal H3A 0E9.
Allen J EhrlicherDepartment of Bioengineering, McGill University, Montreal H3A 0E9.ORCID 0000-0003-3030-979X
McGill University · CA

Funding

CIHR 143327
6 · The paper itself

Abstract

While diverse cellular components have been identified as mechanotransduction elements, the deformation of the nucleus itself is a critical mechanosensory mechanism, implying that nuclear stiffness is essential in determining responses to intracellular and extracellular stresses. Although the nuclear membrane protein lamin A/C is known to contribute to nuclear stiffness, bulk moduli of nuclei have not been reported for various levels of lamin A/C. Here, we measure the nuclear bulk moduli as a function of lamin A/C expression and applied osmotic stress, revealing a linear dependence within the range of 2-4 MPa. We also find that the nuclear compression is anisotropic, with the vertical axis of the nucleus being more compliant than the minor and major axes in the substrate plane. We then related the spatial distribution of lamin A/C with submicron 3D nuclear envelope deformation, revealing that local areas of the nuclear envelope with higher density of lamin A/C have correspondingly lower local deformations. These findings describe the complex dispersion of nuclear deformations as a function of lamin A/C expression and distribution, implicating a lamin A/C role in mechanotransduction. This article has an associated First Person interview with the first author of the paper.

Indexed as

Lamin Type AMechanotransduction, CellularCell NucleusHumansNuclear EnvelopeLamin Type ALMNA protein, humanBulk moduliHeterogeneityLamin A/CMechanotransduction

Identifiers

PMID34028539
PMCPMC8186481
OpenAlexW3158466154

What OpenQuestion holds

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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.