Nucleic Acids ResearchBiochemistryPeer-reviewed journal article
Chemical crosslinking extends and complements UV crosslinking in analysis of RNA/DNA nucleic acid-protein interaction sites by mass spectrometry
Luisa M. WelpiD, Alexander Wulf, Aleksandar CherneviD, Yehor HorokhovskyiiD, Sergei A. MoshkovskiiiD, Olexandr DybkoviD, Piotr NeumanniD, Martin PašeniD, Arslan SirajiD, Monika Raabe, Henri Göthert, James L. WalsheiD, Deliana A Infante, Ana C. de A. P. SchwarzeriD, Achim DickmannsiD, Sven Johannsson, Jana SchmitzováiD, Ingo WohlgemuthiD, Eugen NetziD, Yi HeiD, Kai Fritzemeier, Bernard DelangheiD, Rosa VineriD, Seychelle M. VosiD, Elisa OberbeckmanniD, , Henning UrlaubiD
Abstract
UV (ultra-violet) crosslinking with mass spectrometry (XL-MS) has been established for identifying RNA- and DNA-binding proteins along with their domains and amino acids involved. Here, we explore chemical XL-MS for RNA-protein, DNA-protein, and nucleotide-protein complexes in vitro and in vivo. We introduce a specialized nucleotide-protein-crosslink search engine, NuXL, for robust and fast identification of such crosslinks at amino acid resolution. Chemical XL-MS complements UV XL-MS by generating different crosslink species, increasing crosslinked protein yields in vivo almost four-fold, and thus it expands the structural information accessible via XL-MS. Our workflow facilitates integrative structural modelling of nucleic acid-protein complexes and adds spatial information to the described RNA-binding properties of enzymes, for which crosslinking sites are often observed close to their cofactor-binding domains. In vivo UV and chemical XL-MS data from E. coli cells analysed by NuXL establish a comprehensive nucleic acid-protein crosslink inventory with crosslink sites at amino acid level for more than 1500 proteins. Our new workflow combined with the dedicated NuXL search engine identified RNA crosslinks that cover most RNA-binding proteins, with DNA and RNA crosslinks detected in transcriptional repressors and activators.
- organism: E. coli
- assay: proteomics
- assay: structural biology
- research focus: cell type annotation
- research focus: protein folding & dynamics
- research focus: cell signaling & trafficking
- approach: experimental assay
- approach: statistical model
- Citations
- 12
- FWCI
- 2.92
- Field percentile
- top 7%
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