Evidence map›Paper›PMID 35831615›Full record

ReviewNature protocols2022

Transcriptome-wide measurement of poly(A) tail length and composition at subnanogram total RNA sensitivity by PAIso-seq.

Yusheng Liu, Yiwei Zhang, Jiaqiang Wang, Falong Lu

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Long-Read Sequencing Reveals RNA Splicing Complexity in Human Diseases.Computational and structural biotechnology journal · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Sequencing of Transcriptome-Wide Poly(A) Tails by PAIso-seq.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  13. Article
  14. Differential Poly(A) Tail Length Analysis Using Nanopore Sequencing.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  15. Review
  16. Article
  17. 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

4 authors.

Yusheng LiuState Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, China. liuys1126@foxmail.com.ORCID http://orcid.org/0000-0003-2380-0011
Yiwei ZhangCollege of Life Science, Northeast Agricultural University, Harbin, China.ORCID http://orcid.org/0000-0002-1797-7235
Jiaqiang WangCollege of Life Science, Northeast Agricultural University, Harbin, China. wangjiaqiang@neau.edu.cn.ORCID http://orcid.org/0000-0002-1758-3316
Falong LuState Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, China. fllu@genetics.ac.cn.ORCID http://orcid.org/0000-0002-8321-4818

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Poly(A) tails are added to the 3' ends of most mRNAs in a non-templated manner and play essential roles in post-transcriptional regulation, including mRNA export, stability and translation. Measuring poly(A) tails is critical for understanding their regulatory roles in almost every aspect of biological and medical studies. Previous methods for analyzing poly(A) tails require large amounts of input RNA (microgram-level total RNA), which limits their application. We recently developed a poly(A) inclusive full-length RNA isoform-sequencing method (PAIso-seq) at single-oocyte-level sensitivity (a single mammalian oocyte contains ~0.5 ng of total RNA) based on PacBio sequencing that enabled accurate measurement of the poly(A) tail length and non-A residues within the body of poly(A) tails along with the full-length cDNA, providing the opportunity to study precious in vivo samples with very limited input material. Here, we describe a detailed protocol for PAIso-seq library preparation from single mouse oocytes or bulk oocyte samples. In addition, we provide a complete bioinformatic pipeline to perform the analysis from the raw data to downstream analysis. The minimum time required is ~14.5 h for PAIso-seq double-stranded cDNA preparation, 2 d for PacBio sequencing in HiFi mode and 8 h for the initial data analysis.

Indexed as

Poly ATranscriptomeAnimalsDNA, ComplementaryMammalsMiceRNARNA, MessengerSequence Analysis, RNADNA, ComplementaryPoly ARNARNA, Messenger

Identifiers

What OpenQuestion holds

Textmetadata
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.