Evidence map›Paper›PMID 29044247›Full record

ReviewNature reviews. Molecular cell biology2017

Regulation of genome organization and gene expression by nuclear mechanotransduction.

Caroline Uhler, G V Shivashankar

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Molecular cell biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 232 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
232citing papers in PubMed, 1 pooled it
–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

232 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Nuclear dysfunction in aging and neurodegeneration.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Review
  16. Mechanomedicine.Nature reviews bioengineering · 2026
    Article
  17. Review
  18. MCell death & disease · 2026
    Article
  19. Article
  20. Article

172 more citing papers are in PubMed but not listed here.

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.

Caroline UhlerDepartment of Electrical Engineering and Computer Science, Laboratory of Information and Decision Systems, Institute for Data, Systems and Society, Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA.
G V ShivashankarMechanobiology Institute, National University of Singapore, 119077 Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is well established that cells sense chemical signals from their local microenvironment and transduce them to the nucleus to regulate gene expression programmes. Although a number of experiments have shown that mechanical cues can also modulate gene expression, the underlying mechanisms are far from clear. Nevertheless, we are now beginning to understand how mechanical cues are transduced to the nucleus and how they influence nuclear mechanics, genome organization and transcription. In particular, recent progress in super-resolution imaging, in genome-wide application of RNA sequencing, chromatin immunoprecipitation and chromosome conformation capture and in theoretical modelling of 3D genome organization enables the exploration of the relationship between cell mechanics, 3D chromatin configurations and transcription, thereby shedding new light on how mechanical forces regulate gene expression.

Indexed as

Models, GeneticAnimalsChromatinChromatin Assembly and DisassemblyGenome, HumanHumansMechanotransduction, CellularChromatin

Identifiers

PMID29044247

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.