Biophysical characterization of

Deependra Kumar Ban, Kshama Parate, Deepta Bharadwaj, Austin Wong, Lorelai Schoch, Kenneth Visk, Kiana Aran

Abstract read

In one paragraph

Article in Sensors & diagnostics, 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

7 authors.

Deependra Kumar BanShu Chien-Gene Lay Department of Bioengineering, Jacobs School of Engineering Department of Bioengineering, University of California San Diego CA USA 92093 karan@ucsd.edu.

Kshama ParateShu Chien-Gene Lay Department of Bioengineering, Jacobs School of Engineering Department of Bioengineering, University of California San Diego CA USA 92093 karan@ucsd.edu.ORCID https://orcid.org/0000-0002-0890-6689

Deepta BharadwajShu Chien-Gene Lay Department of Bioengineering, Jacobs School of Engineering Department of Bioengineering, University of California San Diego CA USA 92093 karan@ucsd.edu.

Austin WongShu Chien-Gene Lay Department of Bioengineering, Jacobs School of Engineering Department of Bioengineering, University of California San Diego CA USA 92093 karan@ucsd.edu.

Lorelai SchochShu Chien-Gene Lay Department of Bioengineering, Jacobs School of Engineering Department of Bioengineering, University of California San Diego CA USA 92093 karan@ucsd.edu.ORCID https://orcid.org/0009-0004-7796-039X

Kenneth ViskShu Chien-Gene Lay Department of Bioengineering, Jacobs School of Engineering Department of Bioengineering, University of California San Diego CA USA 92093 karan@ucsd.edu.

Kiana AranShu Chien-Gene Lay Department of Bioengineering, Jacobs School of Engineering Department of Bioengineering, University of California San Diego CA USA 92093 karan@ucsd.edu.ORCID https://orcid.org/0000-0001-5641-7284

Funding

New Generation Blood Exchange Devices for Enhancing Tissue Regeneration and HealthR01HL139605 · NHLBI · UNIVERSITY OF CALIFORNIA BERKELEY · PI ARAN, KIANA, CONBOY, IRINA M · 2018 to 2021

$1.6M

NHLBI NIH HHS R01 HL139605

6 · The paper itself

Abstract

CRISPR-Cas9 enables curative genome editing but requires precise control of target recognition, particularly when single-nucleotide polymorphisms (SNPs) influence specificity. Conventional biochemical and optical assays often rely on endpoint or ensemble-averaged measurements and therefore fail to resolve the real-time binding dynamics underlying off-target interactions. Here, we report a label-free, non-faradaic electrochemical impedance spectroscopy (nfEIS) platform that directly monitors

Identifiers

PMID41859178

DOI10.1039/d5sd00227c

PMCPMC12999271

What OpenQuestion holds

Textmetadata

LicenceCC BY-NC

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.