Evidence map›Paper›PMID 35181644›Full record

ArticleRNA (New York, N.Y.)2022

Tailer: a pipeline for sequencing-based analysis of nonpolyadenylated RNA 3' end processing.

Tim Nicholson-Shaw, Jens Lykke-Andersen

Open access · bronzeAbstract read
In one paragraph

Article in RNA (New York, N.Y.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 52% 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

5 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Sm complex assembly and 5' cap trimethylation promote selective processing of snRNAs by the 3' exonuclease TOE1.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  5. 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

2 authors at 1 institution in 1 country.

Tim Nicholson-ShawDivision of Biological Sciences, University of California San Diego, La Jolla, California 92093, USA.ORCID 0000-0002-2484-5724
Jens Lykke-AndersenDivision of Biological Sciences, University of California San Diego, La Jolla, California 92093, USA.
University of California San Diego · US

Funding

GENETIC MECHANISMS AND REGULATIONT32GM007240 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HAMPTON, RANDOLPH Y. · 1985 to 2019
$23.8M
Mechanisms of human RNA turnover and quality controlR35GM118069 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LYKKE-ANDERSEN, JENS · 2016 to 2025
$5.1M
NIGMS NIH HHS R35 GM118069NIGMS NIH HHS T32 GM007240
6 · The paper itself

Abstract

Post-transcriptional trimming and tailing of RNA 3' ends play key roles in the processing and quality control of noncoding RNAs (ncRNAs). However, bioinformatic tools to examine changes in the RNA 3' "tailome" are sparse and not standardized. Here we present Tailer, a bioinformatic pipeline in two parts that allows for robust quantification and analysis of tail information from next-generation sequencing experiments that preserve RNA 3' end information. The first part of Tailer, Tailer-processing, uses genome annotation or reference FASTA gene sequences to quantify RNA 3' ends from SAM-formatted alignment files or FASTQ sequence read files produced from sequencing experiments. The second part, Tailer-analysis, uses the output of Tailer-processing to identify statistically significant RNA targets of trimming and tailing and create graphs for data exploration. We apply Tailer to RNA 3' end sequencing experiments from three published studies and find that it accurately and reproducibly recapitulates key findings. Thus, Tailer should be a useful and easily accessible tool to globally investigate tailing dynamics of nonpolyadenylated RNAs and conditions that perturb them.

Indexed as

RNASoftwareHigh-Throughput Nucleotide SequencingRNA 3' End ProcessingSequence Analysis, RNARNA3′ tailingbioinformatic pipelinedeep sequencingnoncoding RNA (ncRNA)RNA trimming

Identifiers

PMID35181644
PMCPMC9014879
OpenAlexW4212999165

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.