Dataset Information

Scrutiny of Mycobacterium tuberculosis 19 kDa antigen proteoforms provides new insights in the lipoglycoprotein biogenesis paradigm.

ABSTRACT: Post-translational modifications (PTMs) are essential processes conditioning the biophysical properties and biological activities of the vast majority of mature proteins. However, occurrence of several distinct PTMs on a same protein dramatically increases its molecular diversity. The comprehensive understanding of the functionalities resulting from any particular PTM association requires a highly challenging full structural description of the PTM combinations. Here, we report the in-depth exploration of the natural structural diversity of the M. tuberculosis (Mtb) virulence associated 19?kDa lipoglycoprotein antigen (LpqH) using intact protein high-resolution mass spectrometry (HR-MS) coupled to liquid chromatography. Combined top-down and bottom-up HR-MS analyses of the purified Mtb LpqH protein allow, for the first time, to uncover a complex repertoire of about 130 molecular species resulting from the intrinsically heterogeneous combination of lipidation and glycosylation together with some truncations. Direct view on the co-occurring PTMs stoichiometry reveals the presence of functionally distinct LpqH lipidation states and indicates that glycosylation is independent from lipidation. This work allowed the identification of a novel unsuspected phosphorylated form of the unprocessed preprolipoglycoprotein totally absent from the current lipoglycoprotein biogenesis pathway and providing new insights into the biogenesis and functional determinants of the mycobacterial lipoglycoprotein interacting with the host immune PRRs.

SUBMITTER: Parra J

PROVIDER: S-EPMC5341126 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature

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Scrutiny of Mycobacterium tuberculosis 19 kDa antigen proteoforms provides new insights in the lipoglycoprotein biogenesis paradigm.

Parra Julien J Marcoux Julien J Poncin Isabelle I Canaan Stéphane S Herrmann Jean Louis JL Nigou Jérôme J Burlet-Schiltz Odile O Rivière Michel M

Scientific reports 20170308

Post-translational modifications (PTMs) are essential processes conditioning the biophysical properties and biological activities of the vast majority of mature proteins. However, occurrence of several distinct PTMs on a same protein dramatically increases its molecular diversity. The comprehensive understanding of the functionalities resulting from any particular PTM association requires a highly challenging full structural description of the PTM combinations. Here, we report the in-depth explo ...[more]

PMID: 28272507

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Project description:Combating the spread of drug resistant tuberculosis is a global health priority. Whole genome association studies are being applied to identify genetic determinants of resistance to anti-tuberculosis drugs. Protein structure and interaction modelling are used to understand the functional effects of putative mutations and provide insight into the molecular mechanisms leading to resistance.To investigate the potential utility of these approaches, we analysed the genomes of 144 Mycobacterium tuberculosis clinical isolates from The Special Programme for Research and Training in Tropical Diseases (TDR) collection sourced from 20 countries in four continents. A genome-wide approach was applied to 127 isolates to identify polymorphisms associated with minimum inhibitory concentrations for first-line anti-tuberculosis drugs. In addition, the effect of identified candidate mutations on protein stability and interactions was assessed quantitatively with well-established computational methods.The analysis revealed that mutations in the genes rpoB (rifampicin), katG (isoniazid), inhA-promoter (isoniazid), rpsL (streptomycin) and embB (ethambutol) were responsible for the majority of resistance observed. A subset of the mutations identified in rpoB and katG were predicted to affect protein stability. Further, a strong direct correlation was observed between the minimum inhibitory concentration values and the distance of the mutated residues in the three-dimensional structures of rpoB and katG to their respective drugs binding sites.Using the TDR resource, we demonstrate the usefulness of whole genome association and convergent evolution approaches to detect known and potentially novel mutations associated with drug resistance. Further, protein structural modelling could provide a means of predicting the impact of polymorphisms on drug efficacy in the absence of phenotypic data. These approaches could ultimately lead to novel resistance mutations to improve the design of tuberculosis control measures, such as diagnostics, and inform patient management.

Dataset Information

Scrutiny of Mycobacterium tuberculosis 19 kDa antigen proteoforms provides new insights in the lipoglycoprotein biogenesis paradigm.

Publications

Scrutiny of Mycobacterium tuberculosis 19 kDa antigen proteoforms provides new insights in the lipoglycoprotein biogenesis paradigm.

Similar Datasets

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