From Protein-RNA Predictions toward a Peptide-RNA Code

• Published in: Molecular cell Vol. 64; no. 3; pp. 437 - 438
• Main Authors: Brannan, Kristopher W., Yeo, Gene W.
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 03.11.2016
• Subjects: Animals; Binding Sites; Chromatin - chemistry; Chromatin - metabolism; Chromatin - radiation effects; Gene Expression; Humans; Mice; Mouse Embryonic Stem Cells - cytology; Mouse Embryonic Stem Cells - metabolism; Mouse Embryonic Stem Cells - radiation effects; Nuclear Proteins - chemistry; Nuclear Proteins - genetics; Nuclear Proteins - metabolism; Nucleic Acid Conformation; Peptide Mapping - methods; Photochemical Processes; Protein Binding; Protein Domains; Proteome - chemistry; Proteome - genetics; Proteome - metabolism; RNA, Untranslated - chemistry; RNA, Untranslated - genetics; RNA, Untranslated - metabolism; RNA-Binding Proteins - chemistry; RNA-Binding Proteins - genetics; RNA-Binding Proteins - metabolism; Ultraviolet Rays
• ISSN: 1097-2765; 1097-4164
• DOI: 10.1016/j.molcel.2016.10.023

The RNA field is undergoing a renaissance, with a deluge of proteins being identified to bind RNA. Two reports now introduce proteome-wide approaches that identify the peptides that are crosslinked to RNA (Castello et al., 2016; He et al., 2016). The RNA field is undergoing a renaissance, with a deluge of proteins being identified to bind RNA. Two reports now introduce proteome-wide approaches that identify the peptides that are crosslinked to RNA (Castello et al., 2016; He et al., 2016).