Evidence map›Paper›PMID 25893191›Full record

ArticleBioMed research international2015

Evaluation and application of the strand-specific protocol for next-generation sequencing.

Kuo-Wang Tsai, Bill Chang, Cheng-Tsung Pan, Wei-Chen Lin, Ting-Wen Chen, Sung-Chou Li

Abstract read
In one paragraph

Article in BioMed research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. 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

6 authors.

Kuo-Wang TsaiDepartment of Medical Education and Research, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan.
Bill ChangYourGene Biotechnology, Taipei, Taiwan.
Cheng-Tsung PanInstitute of Bioinformatics and Systems Biology, National Chiao Tung University, Taiwan.
Wei-Chen LinDepartment of Parasitology, National Cheng Kung University Medical College, Tainan, Taiwan.
Ting-Wen ChenMolecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan ; Bioinformatics Center, Chang Gung University, Taoyuan, Taiwan.
Sung-Chou LiGenomics and Proteomics Core Laboratory, Department of Medical Research, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Next-generation sequencing (NGS) has become a powerful sequencing tool, applied in a wide range of biological studies. However, the traditional sample preparation protocol for NGS is non-strand-specific (NSS), leading to biased estimates of expression for transcripts overlapped at the antisense strand. Strand-specific (SS) protocols have recently been developed. In this study, we prepared the same RNA sample by using the SS and NSS protocols, followed by sequencing with Illumina HiSeq platform. Using real-time quantitative PCR as a standard, we first proved that the SS protocol more precisely estimates gene expressions compared with the NSS protocol, particularly for those overlapped at the antisense strand. In addition, we also showed that the sequence reads from the SS protocol are comparable with those from conventional NSS protocols in many aspects. Finally, we also mapped a fraction of sequence reads back to the antisense strand of the known genes, originally without annotated genes located. Using sequence assembly and PCR validation, we succeeded in identifying and characterizing the novel antisense genes. Our results show that the SS protocol performs more accurately than the traditional NSS protocol and can be applied in future studies.

Indexed as

Base SequenceCell Line, TumorComputational BiologyExonsGene Expression ProfilingGene Expression Regulation, NeoplasticGenomicsHigh-Throughput Nucleotide SequencingHumansIntronsMolecular Sequence DataOligonucleotides, AntisenseReal-Time Polymerase Chain ReactionRNA, NeoplasmSequence Analysis, DNASequence Analysis, RNAOligonucleotides, AntisenseRNA, Neoplasm

Identifiers

PMID25893191
PMCPMC4393923

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.