Evidence map›Paper›PMID 40909745›Full record

ArticlebioRxiv : the preprint server for biology2025

ASSET: A Framework for Decoding Aptamer Specificity of an Enriched Library by Next-Generation Sequencing of Experimental Samples.

Maya Barros, Gayathri Kasirajan, Amara Jones, Aidan Schlichting, Dario Ruiz-Ciancio, Li-Hsien Lin, Chandan Narayan, Suresh Veeramani, Kristina W Thiel, George Clare Kennedy and 2 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Maya BarrosDepartment of Internal Medicine, University of Iowa, Iowa City, IA.
Gayathri KasirajanDepartment of Internal Medicine, University of Iowa, Iowa City, IA.
Amara JonesDepartment of Internal Medicine, University of Iowa, Iowa City, IA.
Aidan SchlichtingDepartment of Internal Medicine, University of Iowa, Iowa City, IA.
Dario Ruiz-CiancioCancer Genome Engineering Group, Vall d'Hebron Institute of Oncology (VHIO), 08035 Barcelona, Spain.
Li-Hsien LinDepartment of Internal Medicine, University of Iowa, Iowa City, IA.
Chandan NarayanSt. Jude's Children Research Centre, Memphis, TN.
Suresh VeeramaniDepartment of Internal Medicine, University of Iowa, Iowa City, IA.
Kristina W ThielHolden Comprehensive Cancer Center, University of Iowa, Iowa City, IA.ORCID 0000-0001-8295-864X
George Clare KennedyDepartment of Mathematics, University of Iowa, IA.
Isabel DarcyDepartment of Mathematics, University of Iowa, IA.
William ThielDepartment of Internal Medicine, University of Iowa, Iowa City, IA.

Funding

Deciphering mechanisms of vascular disease with cell and process specific ligandsR01HL139581 · NHLBI · UNIVERSITY OF IOWA · PI THIEL, WILLIAM H · 2018 to 2022
$1.9M
Attacking aggressive p53 mutants in gynecologic cancerK22CA263783 · NCI · UNIVERSITY OF IOWA · PI THIEL, KRISTINA W · 2022 to 2024
$561k
NCI NIH HHS K22 CA263783NHLBI NIH HHS R01 HL139581
6 · The paper itself

Abstract

The SELEX process to identify RNA and DNA aptamers relies on sequencing selection rounds to detect highly specific aptamers through patterns of aptamer accumulation or enrichment. However, this approach infers rather than quantify aptamer specificity. Here we present a novel strategy for directly quantifying aptamer specificity within enriched libraries termed Aptamer Specificity Sequencing for Efficient Targeting (ASSET). The ASSET framework takes experimental samples and replicates testing the specificity of an aptamer library and prepares them for next-generation sequencing (NGS) with a

Indexed as

aptamersbioinformaticsCell-Internalization SELEXclustering algorithmsNGSSELEX

Identifiers

PMID40909745
PMCPMC12407934

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.