RNA Maps Reveal New RNA Classes and a Possible Function for Pervasive Transcription

Philipp Kapranov(University of Vienna), Jill Cheng(University of Vienna), Sujit Dike(University of Vienna), David A. Nix(University of Vienna), Radharani Duttagupta(University of Vienna), Aarron Willingham(University of Vienna), Peter F. Stadler(University of Vienna), Jana Hertel(University of Vienna), Jörg Hackermüller(University of Vienna), Ivo L. Hofacker(University of Vienna), Ian Bell(University of Vienna), Evelyn J. Cheung(University of Vienna), Jörg Drenkow(University of Vienna), Erica Dumais(University of Vienna), Sandeep Patel(University of Vienna), Gregg Helt(University of Vienna), Madhavan Ganesh(University of Vienna), Srinka Ghosh(University of Vienna), Antonio Piccolboni(University of Vienna), Victor Sementchenko(University of Vienna), Hari Tammana(University of Vienna), T Gingeras(University of Vienna)
Science
May 18, 2007
Cited by 2,576

Abstract

Significant fractions of eukaryotic genomes give rise to RNA, much of which is unannotated and has reduced protein-coding potential. The genomic origins and the associations of human nuclear and cytosolic polyadenylated RNAs longer than 200 nucleotides (nt) and whole-cell RNAs less than 200 nt were investigated in this genome-wide study. Subcellular addresses for nucleotides present in detected RNAs were assigned, and their potential processing into short RNAs was investigated. Taken together, these observations suggest a novel role for some unannotated RNAs as primary transcripts for the production of short RNAs. Three potentially functional classes of RNAs have been identified, two of which are syntenically conserved and correlate with the expression state of protein-coding genes. These data support a highly interleaved organization of the human transcriptome.


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