Transcriptomics

Dataset Information

0

Global identification of RNA-binding proteins and RNA-binding domains in methicillin-resistant Staphylococcus aureus


ABSTRACT: Using improved and robust biochemical methods, we present the first global analysis of RNA-binding proteins (RBPs) and RNA-binding domains (RBDs) in clinically relevant and multi-drug resistant Gram-positive bacteria. To validate our results in silico, we developed novel bioinformatics tools that compare RBDome data with ligand-binding site predictions generated by five different algorithms on a large number of S. aureus crystal structures. This revealed that the putative RBDs are highly enriched for predicted RNA-binding sites and basic and aliphatic amino acids, demonstrating the robustness of our approach. Surprisingly, we found that HTH-type DNA-binding and NAD and P-loop type Rossmann-fold proteins may also play a prominent role in post-transcriptional regulation in Gram-positive bacteria and we identified a common mode of RNA recognition for these domains. Subsequent in vivo validation studies showed that the HTH-type transcription factor CcpA, a master regulator of carbon metabolism in Gram-positive bacteria, is also a global post-transcriptional regulator and binds its RNA substrates at very specific distances from transcription terminators. Our novel experimental and computations tools are widely applicable, and our work provides an extremely valuable resource for groups studying post-transcriptional regulation and RNA-binding proteins in bacteria.

ORGANISM(S): Staphylococcus aureus

PROVIDER: GSE189977 | GEO | 2022/05/04

REPOSITORIES: GEO

Similar Datasets

2022-05-04 | GSE163719 | GEO
| PRJNA754713 | ENA
2021-05-01 | GSE165672 | GEO
2021-01-27 | GSE138732 | GEO
2020-03-20 | GSE145604 | GEO
2014-08-19 | GSE60492 | GEO
2011-12-31 | GSE31394 | GEO
2022-01-25 | GSE167591 | GEO
2022-12-10 | GSE178890 | GEO
2020-12-05 | GSE162709 | GEO