@article {Lorenzi807529, author = {Lucia Lorenzi and Hua-Sheng Chiu and Francisco Avila Cobos and Stephen Gross and Pieter-Jan Volders and Robrecht Cannoodt and Justine Nuytens and Katrien Vanderheyden and Jasper Anckaert and Steve Lefever and Tine Goovaerts and Thomas Birkballe Hansen and Scott Kuersten and Nele Nijs and Tom Taghon and Karim Vermaelen and Ken R. Bracke and Yvan Saeys and Tim De Meyer and Nandan Deshpande and Govardhan Anande and Ting-Wen Chen and Marc R. Wilkins and Ashwin Unnikrishnan and Katleen De Preter and J{\o}rgen Kjems and Jan Koster and Gary P. Schroth and Jo Vandesompele and Pavel Sumazin and Pieter Mestdagh}, title = {The RNA Atlas, a single nucleotide resolution map of the human transcriptome}, elocation-id = {807529}, year = {2019}, doi = {10.1101/807529}, publisher = {Cold Spring Harbor Laboratory}, abstract = {The human transcriptome consists of various RNA biotypes including multiple types of non-coding RNAs (ncRNAs). Current ncRNA compendia remain incomplete partially because they are almost exclusively derived from the interrogation of small- and polyadenylated RNAs. Here, we present a more comprehensive atlas of the human transcriptome that is derived from matching polyA-, total-, and small-RNA profiles of a heterogeneous collection of nearly 300 human tissues and cell lines. We report on thousands of novel RNA species across all major RNA biotypes, including a hitherto poorly-cataloged class of non-polyadenylated single-exon long non-coding RNAs. In addition, we exploit intron abundance estimates from total RNA-sequencing to test and verify functional regulation by novel non-coding RNAs. Our study represents a substantial expansion of the current catalogue of human ncRNAs and their regulatory interactions. All data, analyses, and results are available in the R2 web portal and serve as a basis to further explore RNA biology and function.}, URL = {https://www.biorxiv.org/content/early/2019/10/17/807529}, eprint = {https://www.biorxiv.org/content/early/2019/10/17/807529.full.pdf}, journal = {bioRxiv} }