title: Mining diverse small RNA species in the deep transcriptome.
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.
authors.affiliation: Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA. Electronic address: kasey.c.vickers@Vanderbilt.edu.
authors.forename: Kasey C
authors.initials: KC
authors.lastname: Vickers
authors.affiliation: Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA.
authors.forename: Leslie A
authors.initials: LA
authors.lastname: Roteta
authors.affiliation: VANTAGE, Vanderbilt University School of Medicine, Nashville, TN, USA.
authors.forename: Holli
authors.initials: H
authors.lastname: Hucheson-Dilks
authors.affiliation: M.D. Anderson Cancer Center, Houston, TX, USA.
authors.forename: Leng
authors.initials: L
authors.lastname: Han
authors.affiliation: Department of Cancer Biology, Vanderbilt University School of Medicine, Nashville, TN, USA.
authors.forename: Yan
authors.initials: Y
authors.lastname: Guo
mesh_terms: D059014:High-Throughput Nucleotide Sequencing; D035683:MicroRNAs / Q000235:genetics; D058727:RNA, Small Untranslated / Q000145:classification / Q000235:genetics*; D059467:Transcriptome
chemical_list: D035683:MicroRNAs; D058727:RNA, Small Untranslated
keywords: RNA sequencing; data analysis; high-throughput sequencing; long-noncoding RNA; microRNA; small RNA; transcriptome