Evidence map›Paper›PMID 27023733›Full record

ReviewCurrent opinion in biotechnology2016

Synthetic mechanobiology: engineering cellular force generation and signaling.

Jasmine Hannah Hughes, Sanjay Kumar

Open access · bronzeAbstract readReview
In one paragraph

Review in Current opinion in biotechnology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

9 citing papers in PubMed, 18 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

2 authors at 1 institution in 1 country.

Jasmine Hannah HughesDepartment of Bioengineering, University of California, Berkeley, United States; UC Berkeley - UCSF Graduate Program in Bioengineering, United States.
Sanjay KumarDepartment of Bioengineering, University of California, Berkeley, United States. Electronic address: skumar@berkeley.edu.
University 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
Molecular analysis of physical microenvironmental control of tumor cell invasionR21CA174573 · NCI · UNIVERSITY OF CALIFORNIA BERKELEY · PI KUMAR, SANJAY · 2014 to 2016
$655k
Genetic strategies for the quantitative control of cell-matrix mechanobiologyR21EB016359 · NIBIB · UNIVERSITY OF CALIFORNIA BERKELEY · PI KUMAR, SANJAY · 2013 to 2014
$425k
NCI NIH HHS R21 CA174573NIBIB NIH HHS R21 EB016359NINDS NIH HHS R01 NS074831
6 · The paper itself

Abstract

Mechanobiology seeks to understand and control mechanical and related biophysical communication between cells and their surroundings. While experimental efforts in this field have traditionally emphasized manipulation of the extracellular force environment, a new suite of approaches has recently emerged in which cell phenotype and signaling are controlled by directly engineering the cell itself. One route is to control cell behavior by modulating gene expression using conditional promoters. Alternatively, protein activity can be actuated directly using synthetic protein ligands, chemically induced protein dimerization, optogenetic strategies, or functionalized magnetic nanoparticles. Proof-of-principle studies are already demonstrating the translational potential of these approaches, and future technological development will permit increasingly precise control over cell mechanobiology and improve our understanding of the underlying signaling events.

Indexed as

BiophysicsCell Physiological PhenomenaMechanotransduction, CellularSignal TransductionAnimalsBiomechanical PhenomenaHumans

Identifiers

PMID27023733
PMCPMC4975654
OpenAlexW2330467895

What OpenQuestion holds

Textmetadata
LicenceTDM
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.