Evidence map›Paper›PMID 24945156›Full record

ArticlePloS one2014

Novel method for analysis of allele specific expression in triploid Oryzias latipes reveals consistent pattern of allele exclusion.

Tzintzuni I Garcia, Isa Matos, Yingjia Shen, Vagmita Pabuwal, Maria Manuela Coelho, Yuko Wakamatsu, Manfred Schartl, Ronald B Walter

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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  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

8 authors at 3 institutions in 3 countries.

Tzintzuni I GarciaDepartment of Chemistry and Biochemistry, Molecular Biosciences Research Group, Texas State University, San Marcos, Texas, United States of America.
Isa MatosPhysiological Chemistry, Biozentrum, University of Würzburg, Würzburg, Germany; Centro de Biologia Ambiental, Faculdade de Ciências da Universidade de Lisboa, Universidade de Lisboa, Lisboa, Portugal.
Yingjia ShenDepartment of Chemistry and Biochemistry, Molecular Biosciences Research Group, Texas State University, San Marcos, Texas, United States of America.
Vagmita PabuwalDepartment of Chemistry and Biochemistry, Molecular Biosciences Research Group, Texas State University, San Marcos, Texas, United States of America.
Maria Manuela CoelhoCentro de Biologia Ambiental, Faculdade de Ciências da Universidade de Lisboa, Universidade de Lisboa, Lisboa, Portugal.
Yuko WakamatsuPhysiological Chemistry, Biozentrum, University of Würzburg, Würzburg, Germany.
Manfred SchartlPhysiological Chemistry, Biozentrum, University of Würzburg, Würzburg, Germany; Comprehensive Cancer Center, University Clinic Würzburg, Würzburg, Germany.
Ronald B WalterDepartment of Chemistry and Biochemistry, Molecular Biosciences Research Group, Texas State University, San Marcos, Texas, United States of America.
Texas State University · USUniversity of Würzburg · DEUniversity of Lisbon · PT

Funding

Enhanced Development of the Xiphophorus Model System R24-OD-011120R24OD011120 · OD · TEXAS STATE UNIVERSITY · PI GABOR, CAITLIN, LU, YUAN · 2012 to 2019
$5.3M
Advancing the Scientific Potential of Transcriptomics in Aquatic ModelsR24OD011199 · OD · UNIVERSITY OF OREGON · PI CRESKO, WILLIAM A, POSTLETHWAIT, JOHN H. · 2012 to 2014
$1.8M
NIH HHS R24 OD011120NIH HHS R24-OD-011120NIH HHS R24 OD011199NIH HHS R24-OD-011199
6 · The paper itself

Abstract

Assessing allele-specific gene expression (ASE) on a large scale continues to be a technically challenging problem. Certain biological phenomena, such as X chromosome inactivation and parental imprinting, affect ASE most drastically by completely shutting down the expression of a whole set of alleles. Other more subtle effects on ASE are likely to be much more complex and dependent on the genetic environment and are perhaps more important to understand since they may be responsible for a significant amount of biological diversity. Tools to assess ASE in a diploid biological system are becoming more reliable. Non-diploid systems are, however, not uncommon. In humans full or partial polyploid states are regularly found in both healthy (meiotic cells, polynucleated cell types) and diseased tissues (trisomies, non-disjunction events, cancerous tissues). In this work we have studied ASE in the medaka fish model system. We have developed a method for determining ASE in polyploid organisms from RNAseq data and we have implemented this method in a software tool set. As a biological model system we have used nuclear transplantation to experimentally produce artificial triploid medaka composed of three different haplomes. We measured ASE in RNA isolated from the livers of two adult, triploid medaka fish that showed a high degree of similarity. The majority of genes examined (82%) shared expression more or less evenly among the three alleles in both triploids. The rest of the genes (18%) displayed a wide range of ASE levels. Interestingly the majority of genes (78%) displayed generally consistent ASE levels in both triploid individuals. A large contingent of these genes had the same allele entirely suppressed in both triploids. When viewed in a chromosomal context, it is revealed that these genes are from large sections of 4 chromosomes and may be indicative of some broad scale suppression of gene expression.

Indexed as

AllelesGene Expression RegulationGenetic TechniquesTriploidyAllelic ImbalanceAnimalsBase SequenceChromosomesMolecular Sequence DataOryziasPolymorphism, Single NucleotideReproducibility of ResultsRNA, MessengerSequence Analysis, DNARNA, Messenger

Identifiers

PMID24945156
PMCPMC4063754
OpenAlexW2077392306

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.