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Quantification of gene expression while taking into account RNA alternative splicing.
Zhang, Meiping; Liu, Yun-Hua; Chang, Chih-Sheng; Zhi, Hui; Wang, Shichen; Xu, Wenwei; Smith, C Wayne; Zhang, Hong-Bin.
Affiliation
  • Zhang M; Department of Soil and Crop Sciences, Texas A&M University, College Station, TX 77843-2474, United States. Electronic address: mpzhang@tamu.edu.
  • Liu YH; Department of Soil and Crop Sciences, Texas A&M University, College Station, TX 77843-2474, United States. Electronic address: snowpiggy@tamu.edu.
  • Chang CS; Department of Soil and Crop Sciences, Texas A&M University, College Station, TX 77843-2474, United States.
  • Zhi H; Department of Soil and Crop Sciences, Texas A&M University, College Station, TX 77843-2474, United States.
  • Wang S; Genomics and Bioinformatics Service, Texas A&M AgriLife Research, College Station, TX, 77845, United States. Electronic address: Shichen.Wang@ag.tamu.edu.
  • Xu W; Department of Soil and Crop Sciences, Texas A&M AgriLife Research, Lubbock, TX 79403, United States. Electronic address: wxu@ag.tamu.edu.
  • Smith CW; Department of Soil and Crop Sciences, Texas A&M University, College Station, TX 77843-2474, United States. Electronic address: cwsmith@tamu.edu.
  • Zhang HB; Department of Soil and Crop Sciences, Texas A&M University, College Station, TX 77843-2474, United States. Electronic address: hbz7049@tamu.edu.
Genomics ; 111(6): 1517-1528, 2019 12.
Article de En | MEDLINE | ID: mdl-30366041
ABSTRACT
Gene expression has been widely used in functional genomics research; however, the gene expressions quantified with different methods have been frequently inconsistent, thus challenging the conclusions from such research. Here we have addressed this issue, while taking into account RNA alternative splicing. We found that when a gene was subjected to RNA alternative splicing, it was impossible or difficult to properly quantify the expression of a transcript of the gene or its overall expression using quantitative real-time PCR (qPCR), Northern hybridization, microarray, or serial analysis of gene expression. Shot-gun RNA-seq was the most proper to quantify the expression of a transcript or a gene in such cases. Moreover, the expressions of individual transcripts quantified by shot-gun RNA-seq were highly reproducible (r = 0.90-0.98) between individuals. Therefore, shot-gun or full-length RNA-seq should be the method of choice to properly quantify the expression of a transcript or a gene.
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Protéines végétales / Analyse de séquence d'ARN / Épissage alternatif / ARN des plantes / Régulation de l'expression des gènes végétaux / Gossypium Langue: En Journal: Genomics Sujet du journal: GENETICA Année: 2019 Type de document: Article

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Protéines végétales / Analyse de séquence d'ARN / Épissage alternatif / ARN des plantes / Régulation de l'expression des gènes végétaux / Gossypium Langue: En Journal: Genomics Sujet du journal: GENETICA Année: 2019 Type de document: Article
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