Evidence map›Paper›PMID 28148393›Full record

ReviewBMB reports2017

Analyses of alternative polyadenylation: from old school biochemistry to high-throughput technologies.

Hsin-Sung Yeh, Wei Zhang, Jeongsik Yong

Abstract readReview
In one paragraph

Review in BMB reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. PolyA-GLM: A comprehensive framework forComputational and structural biotechnology journal · 2026
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. 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

3 authors.

Hsin-Sung YehDepartment of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, Minnesota 55455, USA.
Wei ZhangDepartment of Computer Science and Engineering, University of Minnesota, Minneapolis, Minnesota 55455, USA.
Jeongsik YongDepartment of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, Minnesota 55455, USA.

Funding

The Role of Truncated mRNAs in CancerR01GM113952 · NIGMS · UNIVERSITY OF MINNESOTA · PI YONG, JEONGSIK · 2015 to 2023
$3.0M
NIGMS NIH HHS R01 GM113952
6 · The paper itself

Abstract

Alternations in usage of polyadenylation sites during transcription termination yield transcript isoforms from a gene. Recent findings of transcriptome-wide alternative polyadenylation (APA) as a molecular response to changes in biology position APA not only as a molecular event of early transcriptional termination but also as a cellular regulatory step affecting various biological pathways. With the development of high-throughput profiling technologies at a single nucleotide level and their applications targeted to the 3'-end of mRNAs, dynamics in the landscape of mRNA 3'-end is measureable at a global scale. In this review, methods and technologies that have been adopted to study APA events are discussed. In addition, various bioinformatics algorithms for APA isoform analysis using publicly available RNA-seq datasets are introduced. [BMB Reports 2017; 50(4): 201-207].

Indexed as

3' Untranslated RegionsAlgorithmsAnimalsHigh-Throughput Nucleotide SequencingHumansImmunoglobulin MPolyadenylationRNA, MessengerSequence Analysis, RNATetrahydrofolate DehydrogenaseTranscription, GeneticTranscriptome3' Untranslated RegionsImmunoglobulin MRNA, MessengerTetrahydrofolate Dehydrogenase

Identifiers

PMID28148393
PMCPMC5437964

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.