Evidence map›Paper›PMID 40963001›Full record

ReviewNature protocols2026

NAP-seq for full-length noncapped RNA sequencing.

Shurong Liu, Junhong Huang, Lianghu Qu, Bin Li, Jianhua Yang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature protocols, 2026. 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

5 authors.

Shurong LiuMOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, Guangdong Provincial Key Laboratory of Pharmaceutical Functional Genes, Innovation Center for Evolutionary Synthetic Biology, School of Life Sciences, Sun Yat-sen University, Guangzhou, China.
Junhong HuangMOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, Guangdong Provincial Key Laboratory of Pharmaceutical Functional Genes, Innovation Center for Evolutionary Synthetic Biology, School of Life Sciences, Sun Yat-sen University, Guangzhou, China.
Lianghu QuMOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, Guangdong Provincial Key Laboratory of Pharmaceutical Functional Genes, Innovation Center for Evolutionary Synthetic Biology, School of Life Sciences, Sun Yat-sen University, Guangzhou, China. lssqlh@mail.sysu.edu.cn.
Bin LiMOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, Guangdong Provincial Key Laboratory of Pharmaceutical Functional Genes, Innovation Center for Evolutionary Synthetic Biology, School of Life Sciences, Sun Yat-sen University, Guangzhou, China. libin73@mail.sysu.edu.cn.ORCID 0000-0002-5717-1551
Jianhua YangMOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, Guangdong Provincial Key Laboratory of Pharmaceutical Functional Genes, Innovation Center for Evolutionary Synthetic Biology, School of Life Sciences, Sun Yat-sen University, Guangzhou, China. yangjh7@mail.sysu.edu.cn.ORCID 0000-0003-3863-2786

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32225011National Natural Science Foundation of China (National Science Foundation of China) 32370588National Natural Science Foundation of China (National Science Foundation of China) 32430019National Natural Science Foundation of China (National Science Foundation of China) 32470598
6 · The paper itself

Abstract

The majority of the mammalian genome is transcribed into RNAs, most of which are noncapped RNAs (napRNAs) that not only regulate diverse biological processes through their functions as noncoding RNAs but also serve as processing products to delineate specific RNA biogenesis pathways. However, due to their heterogeneous lengths, diverse terminal modifications and complex secondary structures, identifying these napRNAs poses substantial challenges. Recently, we developed a napRNA sequencing technique (NAP-seq) to identify full-length sequences of napRNAs with various terminal modifications at single-nucleotide resolution. Here we describe the experimental design principles and detailed step-by-step procedures for discovering napRNAs across multiple cell types. The procedure includes T4 polynucleotide kinase pretreatment to standardize RNA termini, enabling comprehensive capture of modified napRNAs; size-selection followed by depletion of known high-abundance RNAs via RNase H to enrich long and low-abundance RNAs; and use of custom-designed adapters with random barcodes, permitting identification of full-length napRNAs at single-nucleotide resolution while minimizing PCR biases and adapter ligation inefficiencies. The use of thermally stable reverse transcriptase enzymes and nested reverse transcriptase primers ensures full-length cDNA synthesis across structured or modified RNA regions while minimizing mispriming artifacts. Libraries are sequenced in parallel using Oxford Nanopore (long-read) and Illumina (short-read) platforms, synergizing advantages of third-generation and next-generation sequencing technologies. The entire experimental procedure, from library preparation to deep sequencing and computational analysis, can be completed within 8 d. The NAP-seq approach enables researchers to discover novel classes of noncoding RNAs with regulatory functions and to investigate RNA biogenesis in various tissues and cell lines.

Indexed as

High-Throughput Nucleotide SequencingRNA, UntranslatedSequence Analysis, RNAAnimalsHumansRNA, Untranslated

Identifiers

What OpenQuestion holds

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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.