Evidence map›Paper›PMID 27899656›Full record

ArticleNucleic acids research2017

IDP-ASE: haplotyping and quantifying allele-specific expression at the gene and gene isoform level by hybrid sequencing.

Benjamin Deonovic, Yunhao Wang, Jason Weirather, Xiu-Jie Wang, Kin Fai Au

Abstract read
In one paragraph

Article in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

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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

35 citing papers in PubMed.

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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

5 authors.

Benjamin DeonovicDepartment of Biostatistics, University of Iowa, Iowa City, IA 52242, USA.
Yunhao WangDepartment of Internal Medicine, University of Iowa, Iowa City, IA 52242, USA.
Jason WeiratherDepartment of Internal Medicine, University of Iowa, Iowa City, IA 52242, USA.
Xiu-Jie WangKey laboratory of Genetics Network Biology, Collaborative Innovation Center of Genetics and Development, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China.
Kin Fai AuDepartment of Biostatistics, University of Iowa, Iowa City, IA 52242, USA.

Funding

Multidisciplinary Lung Research Career Development ProgramT32HL007638 · NHLBI · UNIVERSITY OF IOWA · PI WELSH, MICHAEL J., ZABNER, JOSEPH · 1986 to 2020
$16.9M
Bioinformatics platform for Hybrid-Seq transcriptome data analysisR01HG008759 · NHGRI · UNIVERSITY OF IOWA · PI AU, KIN FAI · 2016 to 2020
$1.9M
NHGRI NIH HHS R01 HG008759NHLBI NIH HHS T32 HL007638
6 · The paper itself

Abstract

Allele-specific expression (ASE) is a fundamental problem in studying gene regulation and diploid transcriptome profiles, with two key challenges: (i) haplotyping and (ii) estimation of ASE at the gene isoform level. Existing ASE analysis methods are limited by a dependence on haplotyping from laborious experiments or extra genome/family trio data. In addition, there is a lack of methods for gene isoform level ASE analysis. We developed a tool, IDP-ASE, for full ASE analysis. By innovative integration of Third Generation Sequencing (TGS) long reads with Second Generation Sequencing (SGS) short reads, the accuracy of haplotyping and ASE quantification at the gene and gene isoform level was greatly improved as demonstrated by the gold standard data GM12878 data and semi-simulation data. In addition to methodology development, applications of IDP-ASE to human embryonic stem cells and breast cancer cells indicate that the imbalance of ASE and non-uniformity of gene isoform ASE is widespread, including tumorigenesis relevant genes and pluripotency markers. These results show that gene isoform expression and allele-specific expression cooperate to provide high diversity and complexity of gene regulation and expression, highlighting the importance of studying ASE at the gene isoform level. Our study provides a robust bioinformatics solution to understand ASE using RNA sequencing data only.

Indexed as

AllelesHaplotypesTranscriptomeGene Expression RegulationHigh-Throughput Nucleotide SequencingHuman Embryonic Stem CellsHumansMCF-7 CellsRNA IsoformsRNA, MessengerSequence Analysis, RNARNA IsoformsRNA, Messenger

Identifiers

PMID27899656
PMCPMC5952581

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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.