Evidence map›Paper›PMID 34183121›Full record

ArticleMethods in enzymology2021

A computational pipeline to infer alternative poly-adenylation from 3' sequencing data.

Hari Krishna Yalamanchili, Nathan D Elrod, Madeline K Jensen, Ping Ji, Ai Lin, Eric J Wagner, Zhandong Liu

Open access · greenAbstract read
In one paragraph

Article in Methods in enzymology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.1field-weighted citation impact, top 14% of its field
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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

7 authors at 3 institutions in 2 countries.

Hari Krishna YalamanchiliDepartment of Pediatrics, Baylor College of Medicine, Houston, TX, United States; Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, United States; USDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, United States.
Nathan D ElrodDepartment of Biochemistry and Molecular Biology, The University of Texas Medical Branch at Galveston, Galveston, TX, United States.
Madeline K JensenDepartment of Biochemistry and Molecular Biology, The University of Texas Medical Branch at Galveston, Galveston, TX, United States.
Ping JiDepartment of Biochemistry and Molecular Biology, The University of Texas Medical Branch at Galveston, Galveston, TX, United States.
Ai LinDepartment of Biochemistry and Molecular Biology, The University of Texas Medical Branch at Galveston, Galveston, TX, United States; Department of Etiology and Carcinogenesis, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Eric J WagnerDepartment of Biochemistry and Molecular Biology, The University of Texas Medical Branch at Galveston, Galveston, TX, United States.
Zhandong LiuDepartment of Pediatrics, Baylor College of Medicine, Houston, TX, United States; Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, United States. Electronic address: zhandong.liu@bcm.edu.
The University of Texas Medical Branch at Galveston · USBaylor College of Medicine · USTexas Children's Hospital · US

Funding

Probing the specificity and activity of the metazoan Integrator complexR01GM134539 · NIGMS · HARVARD MEDICAL SCHOOL · PI Karen L Adelman, ERIC J WAGNER · 2019 to 2026
$4.7M
Characterization of Ras/Akt/CFIm25/APA signaling in Glioblastoma Development and ProgressionR03CA223893 · NCI · UNIVERSITY OF TEXAS MED BR GALVESTON · PI JI, PING · 2018 to 2019
$158k
NCI NIH HHS R03 CA223893NIGMS NIH HHS R01 GM134539
6 · The paper itself

Abstract

An increasing number of investigations have established alternative polyadenylation (APA) as a key mechanism of gene regulation through altering the length of 3' untranslated region (UTR) and generating distinct mRNA termini. Further, appreciation for the significance of APA in disease contexts propelled the development of several 3' sequencing techniques. While these RNA sequencing technologies have advanced APA analysis, the intrinsic limitation of 3' read coverage and lack of appropriate computational tools constrain precise mapping and quantification of polyadenylation sites. Notably, Poly(A)-ClickSeq (PAC-seq) overcomes limiting factors such as poly(A) enrichment and 3' linker ligation steps using click-chemistry. Here we provide an updated PolyA-miner protocol, a computational approach to analyze PAC-seq or other 3'-Seq datasets. As a key practical constraint, we also provide a detailed account on the impact of sequencing depth on the number of detected polyadenylation sites and APA changes. This protocol is also updated to handle unique molecular identifiers used to address PCR duplication potentially observed in PAC-seq.

Indexed as

Poly APolyadenylation3' Untranslated RegionsRNA, MessengerSequence Analysis, RNA3' Untranslated RegionsPoly ARNA, Messenger3′ UTR lengthening3′ UTR shorteningAlternative polyadenylationPAC-seqPolyA-miner

Identifiers

PMID34183121
PMCPMC10866047
OpenAlexW3173501052

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.