Discovery of widespread transcription initiation at microsatellites predictable by sequence-based deep neural networkShow others and affiliations
Number of Authors: 4002021 (English)In: Nature Communications, E-ISSN 2041-1723, Vol. 12, no 1, article id 3297Article in journal (Refereed) Published
Abstract [en]
Using the Cap Analysis of Gene Expression (CAGE) technology, the FANTOM5 consortium provided one of the most comprehensive maps of transcription start sites (TSSs) in several species. Strikingly, ~72% of them could not be assigned to a specific gene and initiate at unconventional regions, outside promoters or enhancers. Here, we probe these unassigned TSSs and show that, in all species studied, a significant fraction of CAGE peaks initiate at microsatellites, also called short tandem repeats (STRs). To confirm this transcription, we develop Cap Trap RNA-seq, a technology which combines cap trapping and long read MinION sequencing. We train sequence-based deep learning models able to predict CAGE signal at STRs with high accuracy. These models unveil the importance of STR surrounding sequences not only to distinguish STR classes, but also to predict the level of transcription initiation. Importantly, genetic variants linked to human diseases are preferentially found at STRs with high transcription initiation level, supporting the biological and clinical relevance of transcription initiation at STRs. Together, our results extend the repertoire of non-coding transcription associated with DNA tandem repeats and complexify STR polymorphism.
Place, publisher, year, edition, pages
Springer Nature , 2021. Vol. 12, no 1, article id 3297
National Category
Biochemistry Molecular Biology
Identifiers
URN: urn:nbn:se:kth:diva-309717DOI: 10.1038/s41467-021-23143-7ISI: 000660869500001PubMedID: 34078885Scopus ID: 2-s2.0-85107388625OAI: oai:DiVA.org:kth-309717DiVA, id: diva2:1643303
Note
Correction in: DOI 10.1038/s41467-022-28758-y, WOS:000771136200018
QC 20250402
2022-03-092022-03-092025-04-02Bibliographically approved