Evidence map›Paper›PMID 42841321›Full record

ArticleJournal of materials chemistry. B2026

Single-molecule force spectroscopy of ligand-receptor mechanics at extracellular vesicle biointerfaces.

Sakurako Tani, Reed Jacobson, Sangdeuk Ha, Connor Edvall, Yagna P R Jarajapu, Mohiuddin Quadir, Sanku Mallik, Jiha Kim, Yongki Choi

Abstract read
In one paragraph

Article in Journal of materials chemistry. B, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Sakurako TaniDepartment of Physics, North Dakota State University, Fargo, ND 58108, USA. yongki.choi@ndsu.edu.
Reed JacobsonDepartment of Biological Sciences, North Dakota State University, Fargo, ND 58108, USA.
Sangdeuk HaDepartment of Biological Sciences, North Dakota State University, Fargo, ND 58108, USA.
Connor EdvallDepartment of Pharmaceutical Sciences, North Dakota State University, Fargo, ND 58108, USA.ORCID http://orcid.org/0000-0002-1268-8055
Yagna P R JarajapuDepartment of Pharmaceutical Sciences, North Dakota State University, Fargo, ND 58108, USA.
Mohiuddin QuadirDepartment of Coatings and Polymeric Materials, North Dakota State University, Fargo, ND 58108, USA.ORCID http://orcid.org/0000-0003-2811-773X
Sanku MallikDepartment of Pharmaceutical Sciences, North Dakota State University, Fargo, ND 58108, USA.ORCID http://orcid.org/0000-0003-4236-2512
Jiha KimDepartment of Biological Sciences, North Dakota State University, Fargo, ND 58108, USA.
Yongki ChoiDepartment of Physics, North Dakota State University, Fargo, ND 58108, USA. yongki.choi@ndsu.edu.ORCID http://orcid.org/0000-0001-8890-8344

Funding

Targeting Mas Receptor for Diabetic Vascular Disease in Older AdultsR01AG056881 · NIA · NORTH DAKOTA STATE UNIVERSITY · PI Yagna Jarajapu · 2017 to 2026
$3.2M
NIA NIH HHS R01 AG056881
6 · The paper itself

Abstract

Extracellular vesicles (EVs) are nanoscale membrane-bound particles that present surface receptors for affinity capture, sensing, and targeted biointerface design. Although EV surface-marker expression is widely used to guide ligand selection, the molecular-scale rupture mechanics and force-dependent dissociation behavior of EV receptor-ligand interactions remain poorly understood. Here, atomic force microscopy-based single-molecule force spectroscopy and dynamic force spectroscopy are used to quantify ligand-accessible recognition, rupture-force distributions, and apparent Bell-Evans parameters for three pancreatic cancer-associated EV surface targets: integrins (ITG), epithelial cell adhesion molecule (EpCAM), and glypican-1 (GPC1). EVs derived from PANC-1 and hTERT-HPNE cells were compared as a model system. PANC-1 EVs exhibited higher particle concentrations and stronger ITG and GPC1 expression than HPNE EVs. AFM recognition maps showed markedly higher apparent ITG recognition and moderately higher GPC1 recognition on PANC-1 EVs, whereas EpCAM recognition was similar between the two EV preparations. Fixed-speed rupture-force distributions and loading-rate-dependent analysis revealed interaction-dependent differences in apparent rupture behavior. Across both EV preparations, EpCAM-antibody interactions tended to show higher apparent force-free off-rates than ITG-cRGD and GPC1-antibody interactions, while ITG and GPC1 were less clearly separated. Together with recognition mapping, these results demonstrate that ligand-accessible recognition and force-dependent rupture behavior provide complementary information about EV surface interactions.

Identifiers

PMID42841321
PMCPMC13643719

What OpenQuestion holds

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Registered trials

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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.