Evidence map›Paper›PMID 27098915›Full record

ArticleGenetics2016

Accurate Profiling of Gene Expression and Alternative Polyadenylation with Whole Transcriptome Termini Site Sequencing (WTTS-Seq).

Xiang Zhou, Rui Li, Jennifer J Michal, Xiao-Lin Wu, Zhongzhen Liu, Hui Zhao, Yin Xia, Weiwei Du, Mark R Wildung, Derek J Pouchnik and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

27 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Article
  3. RNA variation as the driver of genomic efficiency and phenotypic complexity.International journal of biological sciences · 2026
    Review
  4. Review
  5. Coupling of alternative splicing and alternative polyadenylation.Acta biochimica et biophysica Sinica · 2024
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Genome-to-phenome research in rats: progress and perspectives.International journal of biological sciences · 2021
    Review
  17. Article
  18. Article
  19. Article
  20. 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

12 authors at 3 institutions in 2 countries.

Xiang ZhouDepartment of Animal Sciences and Center for Reproductive Biology, Washington State University, Pullman, Washington 99164-7620.
Rui LiDepartment of Animal Sciences and Center for Reproductive Biology, Washington State University, Pullman, Washington 99164-7620.
Jennifer J MichalDepartment of Animal Sciences and Center for Reproductive Biology, Washington State University, Pullman, Washington 99164-7620.
Xiao-Lin WuDepartment of Animal Sciences and Center for Reproductive Biology, Washington State University, Pullman, Washington 99164-7620.
Zhongzhen LiuSchool of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong.
Hui ZhaoSchool of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong.
Yin XiaSchool of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong.
Weiwei DuLaboratory for Biotechnology and Bioanalysis, Center for Reproductive Biology, Washington State University, Pullman, Washington 99164-7520.
Mark R WildungLaboratory for Biotechnology and Bioanalysis, Center for Reproductive Biology, Washington State University, Pullman, Washington 99164-7520.
Derek J PouchnikLaboratory for Biotechnology and Bioanalysis, Center for Reproductive Biology, Washington State University, Pullman, Washington 99164-7520.
Richard M HarlandDepartment of Molecular and Cell Biology, University of California Berkeley, California 94720-3200.
Zhihua JiangDepartment of Animal Sciences and Center for Reproductive Biology, Washington State University, Pullman, Washington 99164-7620 jiangz@wsu.edu.ORCID 0000-0003-1986-088X
Washington State University · USChinese University of Hong Kong · CNUniversity of California, Berkeley · US

Funding

Standardized Next Generation Transcriptome Profiling Tools for X. TropicalisR21HD076845 · NICHD · WASHINGTON STATE UNIVERSITY · PI JIANG, ZHIHUA · 2013 to 2014
$396k
NICHD NIH HHS R21 HD076845
6 · The paper itself

Abstract

Construction of next-generation sequencing (NGS) libraries involves RNA manipulation, which often creates noisy, biased, and artifactual data that contribute to errors in transcriptome analysis. In this study, a total of 19 whole transcriptome termini site sequencing (WTTS-seq) and seven RNA sequencing (RNA-seq) libraries were prepared from Xenopus tropicalis adult and embryo samples to determine the most effective library preparation method to maximize transcriptomics investigation. We strongly suggest that appropriate primers/adaptors are designed to inhibit amplification detours and that PCR overamplification is minimized to maximize transcriptome coverage. Furthermore, genome annotation must be improved so that missing data can be recovered. In addition, a complete understanding of sequencing platforms is critical to limit the formation of false-positive results. Technically, the WTTS-seq method enriches both poly(A)+ RNA and complementary DNA, adds 5'- and 3'-adaptors in one step, pursues strand sequencing and mapping, and profiles both gene expression and alternative polyadenylation (APA). Although RNA-seq is cost prohibitive, tends to produce false-positive results, and fails to detect APA diversity and dynamics, its combination with WTTS-seq is necessary to validate transcriptome-wide APA.

Indexed as

TranscriptomeAnimalsFemaleGene Expression ProfilingPolymerase Chain ReactionRNA, MessengerSensitivity and SpecificitySequence Analysis, RNAXenopusRNA, Messenger3′-termini sequencingamplification detoursBayesian modelmissing datatranscriptome distribution

Identifiers

PMID27098915
PMCPMC4896187
OpenAlexW2340729943

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.