Dataset Information

Mechanistic insights into RNA surveillance by the canonical poly(A) polymerase Pla1 of the MTREC complex

ABSTRACT: The S. pombe orthologue of the human PAXT complex, Mtl1-Red1 Core (MTREC), is an eleven-subunit complex which targets cryptic unstable transcripts (CUTs) to the nuclear RNA exosome for degradation. It encompasses the canonical poly(A) polymerase Pla1, responsible for polyadenylation of nascent RNA transcripts as part of the cleavage and polyadenylation factor (CPF/CPSF). In this study we identified and characterised the interaction between Pla1 and the MTREC complex core component Red1 and analysed the functional relevance of this interaction in vivo. Our crystal structure of the Pla1-Red1 complex showed that a 58-residue fragment in Red1 binds to the RNA recognition motif domain of Pla1 and tethers it to the MTREC complex. Structure-based Pla1-Red1 interaction mutations showed that Pla1, as part of MTREC complex, hyper-adenylates CUTs for their efficient degradation. Interestingly, the Red1-Pla1 interaction was also required for the efficient assembly of the fission yeast facultative heterochromatic islands. Together, our data suggest a complex interplay between the RNA surveillance and 3â€™-end processing machineries.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Fungi Schizosaccharomyces Pombe Spk1820

SUBMITTER: Frank Stein

LAB HEAD: Tamas Fischer

PROVIDER: PXD035413 | Pride | 2022-12-01

REPOSITORIES: Pride

ACCESS DATA

Similar Datasets

Project description:Many diseases have been associated with gut microbiome abnormalities. The root cause of such diseases is not only due to bacterial dysbiosis, but also to change in bacterial functions, which are best studied by proteomic approaches. Although bacterial proteomics is well established, metaproteomics is hindered by challenges associated with the sample physical structure, contaminating proteins, the simultaneous analysis of hundreds of species and the subsequent data analysis. Here, we present a systematic assessment of sample preparation and data analysis methodologies applied to LC-MS/MS metaproteomics experiment. We could show that low speed centrifugation (LSC) has a significant impact on both peptide identifications and reproducibility. LSC led to increase in peptide and proteins identifications compare to no LSC. Notably, the dominant bacterial phyla, i.e. Firmicutes and Bacteroidetes, showed divergent representation between LSC and no-LSC. In terms of data processing, protein sequence databases derived from mouse faeces metagenome provided at least four times more MS/MS identification compared to databases of concatenated single organisms. We also demonstrated that two-steps database search strategy comes at the expense of a dramatic rise in number of false positives compared to single-step strategy. Overall, we found a positive correlation between matching metaproteome and metagenome abundance, which could be linked to core microbial functions, such as glycolysis-gluconeogenesis, citrate cycle and carbon metabolism. We observed significant overlap and correlation at the phylum, class, order and family taxonomic levels between taxonomy-derived from metagenome and metaproteome. Notably, nearly all functional categories (e.g., membrane transport, translation, transcription) were differentially abundant in the metaproteome (activity) compared to what would be expected from the metagenome (potential). In conclusion, these results highlight the need to perform metaproteomics when studying complex microbiome samples.

Dataset Information

Mechanistic insights into RNA surveillance by the canonical poly(A) polymerase Pla1 of the MTREC complex

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure