Evidence map›Paper›PMID 36646932›Full record

ArticleNature biotechnology2023

Tension-tuned receptors for synthetic mechanotransduction and intercellular force detection.

D Christopher Sloas, Jeremy C Tran, Alexander M Marzilli, John T Ngo

Open access · greenAbstract read
In one paragraph

Article in Nature biotechnology, 2023. 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
12.1field-weighted citation impact, top 1% 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, 58 citations in OpenAlex.

  1. Article
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  3. Review
  4. Review
  5. Article
  6. Spatial Regulation of CAR Signaling Enables Logic-Gated Activity.bioRxiv : the preprint server for biology · 2026
    Article
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  9. Review
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  15. Engineering of CD8mBio · 2025
    Article
  16. Article
  17. Article
  18. Article
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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.

D Christopher SloasDepartment of Biomedical Engineering and Biological Design Center, Boston University, Boston, MA, USA.
Jeremy C TranDepartment of Biomedical Engineering and Biological Design Center, Boston University, Boston, MA, USA.ORCID http://orcid.org/0000-0001-6692-5899
Alexander M MarzilliDepartment of Biomedical Engineering and Biological Design Center, Boston University, Boston, MA, USA.
John T NgoDepartment of Biomedical Engineering and Biological Design Center, Boston University, Boston, MA, USA. jtngo@bu.edu.ORCID http://orcid.org/0000-0003-3508-1915
Boston University · US

Funding

TRAINING PROGRAM IN QUANTITATIVE BIOLOGY AND PHYSIOLOGYT32GM008764 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI WHITE, JOHN A. · 2001 to 2021
$5.9M
Integrative Approaches for Probing Cell Mechanotransduction in Health and DiseaseR35GM128859 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI John Tuan Ngo · 2018 to 2026
$3.3M
Notch signaling and adhesion regulationR01HL147585 · NHLBI · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI CHEN, CHRISTOPHER S · 2019 to 2022
$1.6M
NHLBI NIH HHS R01 HL147585NIGMS NIH HHS R35 GM128859NIGMS NIH HHS T32 GM008764
6 · The paper itself

Abstract

Cells interpret mechanical stimuli from their environments and neighbors, but the ability to engineer customized mechanosensing capabilities has remained a synthetic and mechanobiology challenge. Here we introduce tension-tuned synthetic Notch (SynNotch) receptors to convert extracellular and intercellular forces into specifiable gene expression changes. By elevating the tension requirements of SynNotch activation, in combination with structure-guided mutagenesis, we designed a set of receptors with mechanical sensitivities spanning the physiologically relevant picoNewton range. Cells expressing these receptors can distinguish between varying tensile forces and respond by enacting customizable transcriptional programs. We applied these tools to design a decision-making circuit, through which fibroblasts differentiate into myoblasts upon stimulation with distinct tension magnitudes. We also characterize cell-generated forces transmitted between cells during Notch signaling. Overall, this work provides insight into how mechanically induced changes in protein structure can be used to transduce physical forces into biochemical signals. The system should facilitate the further programming and dissection of force-related phenomena in biological systems.

Indexed as

Mechanotransduction, CellularSignal TransductionProteinsProteins

Identifiers

PMID36646932
PMCPMC10499187
OpenAlexW4316507330

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.