Evidence map›Paper›PMID 26018601›Full record

ReviewCellular and molecular life sciences : CMLS2015

Whole transcriptome analysis with sequencing: methods, challenges and potential solutions.

Zhihua Jiang, Xiang Zhou, Rui Li, Jennifer J Michal, Shuwen Zhang, Michael V Dodson, Zhiwu Zhang, Richard M Harland

Abstract readReview
In one paragraph

Review in Cellular and molecular life sciences : CMLS, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 121 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
121citing papers in PubMed, 1 pooled it
–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

121 citing papers in PubMed, 1 synthesis or guideline pooled it.

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61 more citing papers are in PubMed but not listed here.

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

8 authors.

Zhihua JiangDepartment of Animal Sciences, Washington State University, Pullman, WA, 99164-6351, USA, jiangz@wsu.edu.
Xiang Zhou
Rui Li
Jennifer J Michal
Shuwen Zhang
Michael V Dodson
Zhiwu Zhang
Richard M Harland

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 HD076845NICHD NIH HHS R21HD076845
6 · The paper itself

Abstract

Whole transcriptome analysis plays an essential role in deciphering genome structure and function, identifying genetic networks underlying cellular, physiological, biochemical and biological systems and establishing molecular biomarkers that respond to diseases, pathogens and environmental challenges. Here, we review transcriptome analysis methods and technologies that have been used to conduct whole transcriptome shotgun sequencing or whole transcriptome tag/target sequencing analyses. We focus on how adaptors/linkers are added to both 5' and 3' ends of mRNA molecules for cloning or PCR amplification before sequencing. Challenges and potential solutions are also discussed. In brief, next generation sequencing platforms have accelerated releases of the large amounts of gene expression data. It is now time for the genome research community to assemble whole transcriptomes of all species and collect signature targets for each gene/transcript, and thus use known genes/transcripts to determine known transcriptomes directly in the near future.

Indexed as

AnimalsGene Expression ProfilingGenomeHumansRNA, MessengerSequence Analysis, RNATranscriptomeRNA, Messenger

Identifiers

PMID26018601
PMCPMC6233721

What OpenQuestion holds

Textmetadata
LicenceTDM
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.