Evidence map›Paper›PMID 33979471›Full record

ArticleAngewandte Chemie (International ed. in English)2021

DNA-Based Microparticle Tension Sensors (μTS) for Measuring Cell Mechanics in Non-planar Geometries and for High-Throughput Quantification.

Yuesong Hu, Victor Pui-Yan Ma, Rong Ma, Wenchun Chen, Yuxin Duan, Roxanne Glazier, Brian G Petrich, Renhao Li, Khalid Salaita

Open access · greenAbstract read
In one paragraph

Article in Angewandte Chemie (International ed. in English), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

13 citing papers in PubMed, 24 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Stress transmission towards the nucleus of the cell.Frontiers in cell and developmental biology · 2026
    Review
  5. Article
  6. Article
  7. Molecular Force Sensors for Biological Application.International journal of molecular sciences · 2024
    Review
  8. Article
  9. Article
  10. DNA Nanotechnology for Investigating Mechanical Signaling in the Immune System.Angewandte Chemie (International ed. in English) · 2023
    Review
  11. Article
  12. Article
  13. Review
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

9 authors at 2 institutions in 1 country.

Yuesong HuDepartment of Chemistry, Emory University, Atlanta, GA, 30322, USA.
Victor Pui-Yan MaDepartment of Chemistry, Emory University, Atlanta, GA, 30322, USA.
Rong MaDepartment of Chemistry, Emory University, Atlanta, GA, 30322, USA.
Wenchun ChenAflac Cancer and Blood Disorders Center, Children's Healthcare of Atlanta, Department of Pediatrics, Emory University, Atlanta, GA, 30322, USA.
Yuxin DuanDepartment of Chemistry, Emory University, Atlanta, GA, 30322, USA.
Roxanne GlazierWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, 30322, USA.
Brian G PetrichAflac Cancer and Blood Disorders Center, Children's Healthcare of Atlanta, Department of Pediatrics, Emory University, Atlanta, GA, 30322, USA.
Renhao LiAflac Cancer and Blood Disorders Center, Children's Healthcare of Atlanta, Department of Pediatrics, Emory University, Atlanta, GA, 30322, USA.
Khalid SalaitaDepartment of Chemistry, Emory University, Atlanta, GA, 30322, USA.ORCID 0000-0003-4138-3477
Emory University · USGeorgia Institute of Technology · US

Funding

Structure and Function of Platelet Glycoprotein lb-IX-V ComplexR01HL082808 · NHLBI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI LI, RENHAO · 2006 to 2023
$6.4M
Molecular imaging technologies for mechanobiologyR01GM131099 · NIGMS · EMORY UNIVERSITY · PI MATTHEYSES, ALEXA LYNN, SALAITA, KHALID S. · 2019 to 2022
$1.6M
Developing a Bioanalytical Toolkit to Study the Mechanobiology of Juxtacrine SignalingR01GM124472 · NIGMS · EMORY UNIVERSITY · PI SALAITA, KHALID S. · 2017 to 2020
$1.5M
Enabling technologies to study how mechanics influence T cell function at the molecular and cellular levelsK00CA223074 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI MA, PUI-YAN VICTOR · 2020 to 2022
$288k
NCI NIH HHS K00 CA223074NHLBI NIH HHS R01 HL082808NIGMS NIH HHS R01 GM124472NIGMS NIH HHS R01 GM131099
6 · The paper itself

Abstract

Mechanotransduction, the interplay between physical and chemical signaling, plays vital roles in many biological processes. The state-of-the-art techniques to quantify cell forces employ deformable polymer films or molecular probes tethered to glass substrates. However, the applications of these assays in fundamental and clinical research are restricted by the planar geometry and low throughput of microscopy readout. Herein, we develop a DNA-based microparticle tension sensor, which features a spherical surface and thus allows for investigation of mechanotransduction at curved interfaces. The micron-scale of μTS enables flow cytometry readout, which is rapid and high throughput. We applied the method to map and measure T-cell receptor forces and platelet integrin forces at 12 and 56 pN thresholds. Furthermore, we quantified the inhibition efficiency of two anti-platelet drugs providing a proof-of-concept demonstration of μTS to screen drugs that modulate cellular mechanics.

Indexed as

High-Throughput Screening AssaysActomyosinAmidesDNADose-Response Relationship, DrugHumansMechanotransduction, CellularOptical ImagingPlatelet ActivationPlatelet Aggregation InhibitorsPyridinesActomyosinAmidesDNAPlatelet Aggregation InhibitorsPyridinesY 27632DNA nanotechnologydrug screeninghigh-throughput quantificationmechanotransductionmolecular tension sensors

Identifiers

PMID33979471
PMCPMC8338796
OpenAlexW3163068886

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.