
Analysis of RNA–protein networks with RNP-MaP defines functional hubs on RNA
Author(s) -
Chase A. Weidmann,
Anthony M. Mustoe,
Parth B. Jariwala,
J. Mauro Calabrese,
Kevin M. Weeks
Publication year - 2020
Publication title -
nature biotechnology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 15.358
H-Index - 445
eISSN - 1546-1696
pISSN - 1087-0156
DOI - 10.1038/s41587-020-0709-7
Subject(s) - rna , ribonucleoprotein , computational biology , xist , biology , rna binding protein , non coding rna , rnase p , genetics , messenger rnp , gene , x inactivation , x chromosome
RNA-protein interaction networks govern many biological processes but are difficult to examine comprehensively. We devised ribonucleoprotein networks analyzed by mutational profiling (RNP-MaP), a live-cell chemical probing strategy that maps cooperative interactions among multiple proteins bound to single RNA molecules at nucleotide resolution. RNP-MaP uses a hetero-bifunctional crosslinker to freeze interacting proteins in place on RNA and then maps multiple bound proteins on single RNA strands by read-through reverse transcription and DNA sequencing. RNP-MaP revealed that RNase P and RMRP, two sequence-divergent but structurally related non-coding RNAs, share RNP networks and that network hubs define functional sites in these RNAs. RNP-MaP also identified protein interaction networks conserved between mouse and human XIST long non-coding RNAs and defined protein communities whose binding sites colocalize and form networks in functional regions of XIST. RNP-MaP enables discovery and efficient validation of functional protein interaction networks on long RNAs in living cells.