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Mining diverse small RNA species in the deep transcriptome.
Vickers, Kasey C; Roteta, Leslie A; Hucheson-Dilks, Holli; Han, Leng; Guo, Yan.
Afiliación
  • Vickers KC; Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA. Electronic address: kasey.c.vickers@Vanderbilt.edu.
  • Roteta LA; Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA.
  • Hucheson-Dilks H; VANTAGE, Vanderbilt University School of Medicine, Nashville, TN, USA.
  • Han L; M.D. Anderson Cancer Center, Houston, TX, USA.
  • Guo Y; Department of Cancer Biology, Vanderbilt University School of Medicine, Nashville, TN, USA.
Trends Biochem Sci ; 40(1): 4-7, 2015 Jan.
Article en En | MEDLINE | ID: mdl-25435401
ABSTRACT
Transcriptomes of many species are proving to be exquisitely diverse, and many investigators are now using high-throughput sequencing to quantify non-protein-coding RNAs, namely small RNAs (sRNA). Unfortunately, most studies are focused solely on microRNA changes, and many investigators are not analyzing the full compendium of sRNA species present in their large datasets. We provide here a rationale to include all types of sRNAs in sRNA sequencing analyses, which will aid in the discovery of their biological functions and physiological relevance.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: ARN Pequeño no Traducido / Transcriptoma Idioma: En Revista: Trends Biochem Sci Año: 2015 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: ARN Pequeño no Traducido / Transcriptoma Idioma: En Revista: Trends Biochem Sci Año: 2015 Tipo del documento: Article