Evidence map›Paper›PMID 40181099›Full record

ReviewNature protocols2025

Optimized identification and characterization of small RNAs with PANDORA-seq.

Junchao Shi, Yunfang Zhang, Yun Li, Liwen Zhang, Xudong Zhang, Menghong Yan, Qi Chen, Ying Zhang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature protocols, 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. Review
  2. The dark genome in cardiovascular medicine.European heart journal · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

8 authors.

Junchao ShiChina National Center for Bioinformation and Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China. shijc@cncb.ac.cn.ORCID 0000-0002-1548-5069
Yunfang ZhangClinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Shanghai Key Laboratory of Signaling and Disease Research, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai, China. zhangyunfang@tongji.edu.cn.
Yun LiClinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Shanghai Key Laboratory of Signaling and Disease Research, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai, China.
Liwen ZhangChina National Center for Bioinformation and Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.
Xudong ZhangMolecular Medicine Program, University of Utah School of Medicine, Salt Lake City, UT, USA.ORCID 0000-0002-5964-0067
Menghong YanPudong Medical Center, Institutes of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai, China.
Qi ChenMolecular Medicine Program, University of Utah School of Medicine, Salt Lake City, UT, USA.ORCID 0000-0001-6353-9589
Ying ZhangThe Key Laboratory of Cell Proliferation and Regulation Biology, Ministry of Education, Beijing Key Laboratory of Genetic Engineering Drug and Biotechnology, College of Life Sciences, Beijing Normal University, Beijing, China. yingzhanglab@gmail.com.

Funding

National Key Research and Development Program of ChinaNational Natural Science Foundation of China (National Science Foundation of China) 32171110National Natural Science Foundation of China (National Science Foundation of China) 32370596Science and Technology Commission of Shanghai Municipality (Shanghai Municipal Science and Technology Commission) 23JC1403802Strategic Priority Research Program of the Chinese Academy of Sciences
6 · The paper itself

Abstract

Small noncoding RNAs (sncRNAs) are a diverse group of RNAs including small interfering RNAs, microRNAs, PIWI-interacting RNAs and RNAs derived from structured RNAs such as transfer RNAs, ribosomal RNAs and others. These sncRNAs have varied termini and RNA modifications, which can interfere with adaptor ligation and reverse transcription during cDNA library construction, hindering detection of many types of sncRNA by standard small RNA sequencing methods. To address this limitation, PANDORA sequencing introduces a refined methodology. The procedure includes sequential enzymatic treatments of size-selected RNAs with T4PNK and AlkB, which effectively circumvent the challenges presented by the ligation-blocking termini and reverse transcription-blocking RNA modifications, followed by tailored small RNA library construction protocols and deep sequencing. The obtained datasets are analyzed with the SPORTS pipeline, which can comprehensively analyze various types of sncRNA beyond the traditionally studied classes, to include those derived from various parental RNAs (for example, from transfer RNA and ribosomal RNA), as well as output the locations on the parental RNA from which these sncRNAs are derived. The entire protocol takes ~7 d, depending on the sample size and sequencing turnaround time. PANDORA sequencing provides a transformative tool to further our understanding of the expanding small RNA universe and to explore the uncharted functions of sncRNAs.

Indexed as

High-Throughput Nucleotide SequencingRNA, Small UntranslatedSequence Analysis, RNAGene LibraryHumansRNA, Small Untranslated

Identifiers

PMID40181099

What OpenQuestion holds

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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.