Literature DB >> 26407868

Membrane gene ontology bias in sequencing and microarray obtained by housekeeping-gene analysis.

Yijuan Zhang1, Oluwafemi S Akintola1, Ken J A Liu2, Bingyun Sun3.   

Abstract

Microarray (MA) and high-throughput sequencing are two commonly used detection systems for global gene expression profiling. Although these two systems are frequently used in parallel, the differences in their final results have not been examined thoroughly. Transcriptomic analysis of housekeeping (HK) genes provides a unique opportunity to reliably examine the technical difference between these two systems. We investigated here the structure, genome location, expression quantity, microarray probe coverage, as well as biological functions of differentially identified human HK genes by 9 MA and 6 sequencing studies. These in-depth analyses allowed us to discover, for the first time, a subset of transcripts encoding membrane, cell surface and nuclear proteins that were prone to differential identification by the two platforms. We hope that the discovery can aid the future development of these technologies for comprehensive transcriptomic studies.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Gene expression; Gene ontology; Gene structure; Housekeeping genes; Microarray; Next-generation sequencing; Probe coverage; RNA-seq; Sequencing; Transcriptome

Mesh:

Substances:

Year:  2015        PMID: 26407868     DOI: 10.1016/j.gene.2015.09.041

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


  7 in total

1.  Detection bias in microarray and sequencing transcriptomic analysis identified by housekeeping genes.

Authors:  Yijuan Zhang; Oluwafemi S Akintola; Ken J A Liu; Bingyun Sun
Journal:  Data Brief       Date:  2015-11-27

2.  Strand-specific RNA-Seq transcriptome analysis of genotypes with and without low-phosphorus tolerance provides novel insights into phosphorus-use efficiency in maize.

Authors:  Qingguo Du; Kai Wang; Cheng Xu; Cheng Zou; Chuanxiao Xie; Yunbi Xu; Wen-Xue Li
Journal:  BMC Plant Biol       Date:  2016-10-10       Impact factor: 4.215

3.  Systematic identification of human housekeeping genes possibly useful as references in gene expression studies.

Authors:  Maria Caracausi; Allison Piovesan; Francesca Antonaros; Pierluigi Strippoli; Lorenza Vitale; Maria Chiara Pelleri
Journal:  Mol Med Rep       Date:  2017-07-06       Impact factor: 2.952

4.  RNA sequencing and transcriptome arrays analyses show opposing results for alternative splicing in patient derived samples.

Authors:  Petr V Nazarov; Arnaud Muller; Tony Kaoma; Nathalie Nicot; Cristina Maximo; Philippe Birembaut; Nhan L Tran; Gunnar Dittmar; Laurent Vallar
Journal:  BMC Genomics       Date:  2017-06-06       Impact factor: 3.969

5.  Defining housekeeping genes suitable for RNA-seq analysis of the human allograft kidney biopsy tissue.

Authors:  Zijie Wang; Zili Lyu; Ling Pan; Gang Zeng; Parmjeet Randhawa
Journal:  BMC Med Genomics       Date:  2019-06-17       Impact factor: 3.063

6.  Reference quantitative transcriptome dataset for adult Caenorhabditis elegans.

Authors:  Allison Piovesan; Francesca Antonaros; Pierluigi Strippoli; Lorenza Vitale; Maria Chiara Pelleri; Maria Caracausi
Journal:  Data Brief       Date:  2019-06-13

7.  Digenic inheritance of human primary microcephaly delineates centrosomal and non-centrosomal pathways.

Authors:  Sarah Duerinckx; Valérie Jacquemin; Séverine Drunat; Yoann Vial; Sandrine Passemard; Camille Perazzolo; Annick Massart; Julie Soblet; Judith Racapé; Laurence Desmyter; Cindy Badoer; Sofia Papadimitriou; Yann-Aël Le Borgne; Anne Lefort; Frédérick Libert; Viviane De Maertelaer; Marianne Rooman; Sabine Costagliola; Alain Verloes; Tom Lenaerts; Isabelle Pirson; Marc Abramowicz
Journal:  Hum Mutat       Date:  2019-11-27       Impact factor: 4.878

  7 in total

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