Evidence map›Paper›PMID 25251678›Full record

ArticlePloS one2014

High-resolution transcriptome analysis with long-read RNA sequencing.

Hyunghoon Cho, Joe Davis, Xin Li, Kevin S Smith, Alexis Battle, Stephen B Montgomery

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.2field-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

26 citing papers in PubMed, 68 citations in OpenAlex.

  1. Article
  2. Article
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  4. Long-read RNA sequencing reveals allele-specific NbioRxiv : the preprint server for biology · 2024
    Article
  5. RNA Sequencing in Disease Diagnosis.Annual review of genomics and human genetics · 2024
    Review
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  7. Article
  8. Article
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  10. Extrachromosomal DNA in HPV-Mediated Oropharyngeal Cancer Drives Diverse Oncogene Transcription.Clinical cancer research : an official journal of the American Association for Cancer Research · 2021
    Article
  11. Article
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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 at 1 institution in 1 country.

Hyunghoon ChoDepartment of Computer Science, Stanford University, Stanford, California, United States of America.
Joe DavisDepartment of Genetics, Stanford University, Stanford, California, United States of America.
Xin LiDepartment of Pathology, Stanford University, Stanford, California, United States of America.
Kevin S SmithDepartment of Pathology, Stanford University, Stanford, California, United States of America.
Alexis BattleDepartment of Computer Science, Stanford University, Stanford, California, United States of America; Department of Genetics, Stanford University, Stanford, California, United States of America.
Stephen B MontgomeryDepartment of Computer Science, Stanford University, Stanford, California, United States of America; Department of Genetics, Stanford University, Stanford, California, United States of America; Department of Pathology, Stanford University, Stanford, California, United States of America.
Stanford University · US

Funding

NIMH NIH HHS R01 MH10814
6 · The paper itself

Abstract

RNA sequencing (RNA-seq) enables characterization and quantification of individual transcriptomes as well as detection of patterns of allelic expression and alternative splicing. Current RNA-seq protocols depend on high-throughput short-read sequencing of cDNA. However, as ongoing advances are rapidly yielding increasing read lengths, a technical hurdle remains in identifying the degree to which differences in read length influence various transcriptome analyses. In this study, we generated two paired-end RNA-seq datasets of differing read lengths (2×75 bp and 2×262 bp) for lymphoblastoid cell line GM12878 and compared the effect of read length on transcriptome analyses, including read-mapping performance, gene and transcript quantification, and detection of allele-specific expression (ASE) and allele-specific alternative splicing (ASAS) patterns. Our results indicate that, while the current long-read protocol is considerably more expensive than short-read sequencing, there are important benefits that can only be achieved with longer read length, including lower mapping bias and reduced ambiguity in assigning reads to genomic elements, such as mRNA transcript. We show that these benefits ultimately lead to improved detection of cis-acting regulatory and splicing variation effects within individuals.

Indexed as

AllelesAlternative SplicingCell Line, TumorDNA, ComplementaryGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansRNASequence Analysis, RNATranscriptomeDNA, ComplementaryRNA

Identifiers

PMID25251678
PMCPMC4176000
OpenAlexW2014464285

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.