Evidence map›Paper›PMID 40164941›Full record

ArticleNature chemical biology2025

Single-step discovery of high-affinity RNA ligands by UltraSelex.

Yaqing Zhang, Yuan Jiang, David Kuster, Qiwei Ye, Wenhao Huang, Simon Fürbacher, Jingye Zhang, Pia Doll, Wenjun Lin, Siwei Dong and 7 more

Abstract read
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In one paragraph

Article in Nature chemical biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. RNA therapeutics: current status and future directions.Signal transduction and targeted therapy · 2026
    Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Programming Next-Generation Synthetic Biosensors by Genetic Circuit Design.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Aptamers in Drug Delivery Development.Materials today (Kidlington, England) · 2025
    Article
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

17 authors.

Yaqing ZhangInstitute of Pharmacy and Molecular Biotechnology (IPMB), Heidelberg University, Heidelberg, Germany. yaqing.zhang@uni-heidelberg.de.ORCID http://orcid.org/0000-0003-2879-3068
Yuan Jiang *Institute of Pharmacy and Molecular Biotechnology (IPMB), Heidelberg University, Heidelberg, Germany.
David Kuster *Max Planck Institute of Molecular Cell Biology and Genetics (MPI-CBG), Dresden, Germany.ORCID http://orcid.org/0000-0002-8157-9223
Qiwei YeBeijing Academy of Artificial Intelligence (BAAI), Beijing, China.ORCID http://orcid.org/0000-0003-4264-5846
Wenhao HuangBeijing Academy of Artificial Intelligence (BAAI), Beijing, China.
Simon FürbacherInstitute of Pharmacy and Molecular Biotechnology (IPMB), Heidelberg University, Heidelberg, Germany.
Jingye ZhangInstitute of Pharmacy and Molecular Biotechnology (IPMB), Heidelberg University, Heidelberg, Germany.
Pia DollInstitute of Pharmacy and Molecular Biotechnology (IPMB), Heidelberg University, Heidelberg, Germany.
Wenjun LinBeijing Academy of Artificial Intelligence (BAAI), Beijing, China.
Siwei DongBeijing Academy of Artificial Intelligence (BAAI), Beijing, China.
Hui WangBeijing Academy of Artificial Intelligence (BAAI), Beijing, China.
Zhipeng TangCollege of Information and Computer Science, University of Massachusetts Amherst, Amherst, MA, USA.
David IbbersonDeep Sequencing Core Facility, CellNetworks, Heidelberg University, Heidelberg, Germany.
Klemens WildBiochemistry Center (BZH), Heidelberg University, Heidelberg, Germany.ORCID http://orcid.org/0000-0001-9733-8187
Irmgard SinningBiochemistry Center (BZH), Heidelberg University, Heidelberg, Germany.ORCID http://orcid.org/0000-0001-9127-4477
Anthony A HymanMax Planck Institute of Molecular Cell Biology and Genetics (MPI-CBG), Dresden, Germany.ORCID http://orcid.org/0000-0003-0851-704X
Andres JäschkeInstitute of Pharmacy and Molecular Biotechnology (IPMB), Heidelberg University, Heidelberg, Germany. jaeschke@uni-hd.de.ORCID http://orcid.org/0000-0002-4625-2655

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aptamers, nucleic acid ligands targeting specific molecules, have emerged as drug candidates, sensors, imaging tools and nanotechnology building blocks. The predominant method for their discovery, systematic evolution of ligands by exponential enrichment, while successful, is laborious, time-consuming and often results in candidates enriched for unintended criteria. Here we present UltraSelex, a noniterative method that combines biochemical partitioning, high-throughput sequencing and computational signal-to-background rank modeling for discovering RNA aptamers in about 1 day. UltraSelex identified high-affinity RNA aptamers capable of binding a fluorogenic silicon rhodamine dye and two protein targets, the SARS-CoV-2 RNA-dependent RNA polymerase and HIV reverse transcriptase, enabling live-cell RNA imaging and efficient enzyme inhibition, respectively. From the ranked sequences, minimal aptamer motifs could be easily inferred. UltraSelex provides a rapid route to reveal new drug candidates and diagnostic tools.

Indexed as

Aptamers, NucleotideSELEX Aptamer TechniqueDrug DiscoveryFluorescent DyesHigh-Throughput Nucleotide SequencingHIV Reverse TranscriptaseHumansLigandsRNA-Dependent RNA PolymeraseSARS-CoV-2Aptamers, NucleotideFluorescent DyesHIV Reverse TranscriptaseLigandsRNA-Dependent RNA Polymerase

Identifiers

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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.