Journal
TRENDS IN BIOCHEMICAL SCIENCES
Volume 40, Issue 1, Pages 4-7Publisher
ELSEVIER SCIENCE LONDON
DOI: 10.1016/j.tibs.2014.10.009
Keywords
small RNA; RNA sequencing; long-noncoding RNA; transcriptome; microRNA; high-throughput sequencing; data analysis
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Funding
- NHLBI NIH HHS [P01 HL116263, P01HL116263, K22HL113039, K22 HL113039, R01 HL128996] Funding Source: Medline
- NIAMS NIH HHS [R21 AR066971] Funding Source: Medline
- NIDDK NIH HHS [P30 DK020593, P60 DK020593, DK20593] Funding Source: Medline
- NIGMS NIH HHS [R25 GM062459] Funding Source: Medline
- NATIONAL HEART, LUNG, AND BLOOD INSTITUTE [K22HL113039, P01HL116263] Funding Source: NIH RePORTER
- NATIONAL INSTITUTE OF ARTHRITIS AND MUSCULOSKELETAL AND SKIN DISEASES [R21AR066971] Funding Source: NIH RePORTER
- NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES [P60DK020593, P30DK020593] Funding Source: NIH RePORTER
- NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES [R25GM062459] Funding Source: NIH RePORTER
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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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