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de Carvalho CC, Murray IP, Nguyen H, Nguyen T, Cantu DC. Acyltransferase families that act on thioesters: Sequences, structures, and mechanisms. Proteins 2024; 92:157-169. [PMID: 37776148 DOI: 10.1002/prot.26599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 09/11/2023] [Accepted: 09/19/2023] [Indexed: 10/01/2023]
Abstract
Acyltransferases (AT) are enzymes that catalyze the transfer of acyl group to a receptor molecule. This review focuses on ATs that act on thioester-containing substrates. Although many ATs can recognize a wide variety of substrates, sequence similarity analysis allowed us to classify the ATs into fifteen distinct families. Each AT family is originated from enzymes experimentally characterized to have AT activity, classified according to sequence similarity, and confirmed with tertiary structure similarity for families that have crystallized structures available. All the sequences and structures of the AT families described here are present in the thioester-active enzyme (ThYme) database. The AT sequences and structures classified into families and available in the ThYme database could contribute to enlightening the understanding acyl transfer to thioester-containing substrates, most commonly coenzyme A, which occur in multiple metabolic pathways, mostly with fatty acids.
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Affiliation(s)
- Caio C de Carvalho
- Department of Chemical and Materials Engineering, University of Nevada, Reno, Reno, Nevada, USA
| | - Ian P Murray
- Department of Chemical and Materials Engineering, University of Nevada, Reno, Reno, Nevada, USA
| | - Hung Nguyen
- Department of Computer Science and Software Engineering, Auburn University, Auburn, Alabama, USA
| | - Tin Nguyen
- Department of Chemical and Materials Engineering, University of Nevada, Reno, Reno, Nevada, USA
- Department of Computer Science and Software Engineering, Auburn University, Auburn, Alabama, USA
| | - David C Cantu
- Department of Chemical and Materials Engineering, University of Nevada, Reno, Reno, Nevada, USA
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Shankaran D, Arumugam P, Vasanthakumar RP, Singh A, Bothra A, Gandotra S, Rao V. Modern Clinical Mycobacterium tuberculosisStrains Leverage Type I IFN Pathway for a Proinflammatory Response in the Host. THE JOURNAL OF IMMUNOLOGY 2022; 209:1736-1745. [DOI: 10.4049/jimmunol.2101029] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Accepted: 08/16/2022] [Indexed: 11/15/2022]
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Pan Q, Nguyen TB, Ascher DB, Pires DEV. Systematic evaluation of computational tools to predict the effects of mutations on protein stability in the absence of experimental structures. Brief Bioinform 2022; 23:bbac025. [PMID: 35189634 PMCID: PMC9155634 DOI: 10.1093/bib/bbac025] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Revised: 01/13/2022] [Accepted: 01/30/2022] [Indexed: 12/26/2022] Open
Abstract
Changes in protein sequence can have dramatic effects on how proteins fold, their stability and dynamics. Over the last 20 years, pioneering methods have been developed to try to estimate the effects of missense mutations on protein stability, leveraging growing availability of protein 3D structures. These, however, have been developed and validated using experimentally derived structures and biophysical measurements. A large proportion of protein structures remain to be experimentally elucidated and, while many studies have based their conclusions on predictions made using homology models, there has been no systematic evaluation of the reliability of these tools in the absence of experimental structural data. We have, therefore, systematically investigated the performance and robustness of ten widely used structural methods when presented with homology models built using templates at a range of sequence identity levels (from 15% to 95%) and contrasted performance with sequence-based tools, as a baseline. We found there is indeed performance deterioration on homology models built using templates with sequence identity below 40%, where sequence-based tools might become preferable. This was most marked for mutations in solvent exposed residues and stabilizing mutations. As structure prediction tools improve, the reliability of these predictors is expected to follow, however we strongly suggest that these factors should be taken into consideration when interpreting results from structure-based predictors of mutation effects on protein stability.
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Affiliation(s)
- Qisheng Pan
- Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne, Victoria 3004, Australia
- School of Chemistry and Molecular Biosciences, University of Queensland, Brisbane City, Queensland 4072, Australia
- Systems and Computational Biology, Bio21 Institute, University of Melbourne, 30 Flemington Rd, Parkville, Victoria 3052, Australia
| | - Thanh Binh Nguyen
- Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne, Victoria 3004, Australia
- School of Chemistry and Molecular Biosciences, University of Queensland, Brisbane City, Queensland 4072, Australia
- Systems and Computational Biology, Bio21 Institute, University of Melbourne, 30 Flemington Rd, Parkville, Victoria 3052, Australia
| | - David B Ascher
- Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne, Victoria 3004, Australia
- School of Chemistry and Molecular Biosciences, University of Queensland, Brisbane City, Queensland 4072, Australia
- Systems and Computational Biology, Bio21 Institute, University of Melbourne, 30 Flemington Rd, Parkville, Victoria 3052, Australia
- Department of Biochemistry, University of Cambridge, 80 Tennis Ct Rd, Cambridge CB2 1GA, UK
| | - Douglas E V Pires
- Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne, Victoria 3004, Australia
- School of Chemistry and Molecular Biosciences, University of Queensland, Brisbane City, Queensland 4072, Australia
- Systems and Computational Biology, Bio21 Institute, University of Melbourne, 30 Flemington Rd, Parkville, Victoria 3052, Australia
- School of Computing and Information Systems, University of Melbourne, Melbourne, Victoria 3053, Australia
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Abstract
Cough, a hallmark of tuberculosis, transmits the disease. Ruhl et al. find that a Mycobacterium tuberculosis (Mtb)-specific lipid, SL-1, stimulates human nociceptive neurons and makes guinea pigs cough. Mtb extract, but not SL-1, also stimulates non-nociceptive neurons that participate in the cough reflex, suggesting additional cough-inducing mechanisms.
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Sachdeva K, Goel M, Sudhakar M, Mehta M, Raju R, Raman K, Singh A, Sundaramurthy V. Mycobacterium tuberculosis ( Mtb) lipid mediated lysosomal rewiring in infected macrophages modulates intracellular Mtb trafficking and survival. J Biol Chem 2020; 295:9192-9210. [PMID: 32424041 PMCID: PMC7335774 DOI: 10.1074/jbc.ra120.012809] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Revised: 05/14/2020] [Indexed: 12/24/2022] Open
Abstract
Intracellular pathogens commonly manipulate the host lysosomal system for their survival. However, whether this pathogen-induced alteration affects the organization and functioning of the lysosomal system itself is not known. Here, using in vitro and in vivo infections and quantitative image analysis, we show that the lysosomal content and activity are globally elevated in Mycobacterium tuberculosis (Mtb)-infected macrophages. We observed that this enhanced lysosomal state is sustained over time and defines an adaptive homeostasis in the infected macrophage. Lysosomal alterations are caused by mycobacterial surface components, notably the cell wall-associated lipid sulfolipid-1 (SL-1), which functions through the mTOR complex 1 (mTORC1)-transcription factor EB (TFEB) axis in the host cells. An Mtb mutant lacking SL-1, MtbΔpks2, shows attenuated lysosomal rewiring compared with the WT Mtb in both in vitro and in vivo infections. Exposing macrophages to purified SL-1 enhanced the trafficking of phagocytic cargo to lysosomes. Correspondingly, MtbΔpks2 exhibited a further reduction in lysosomal delivery compared with the WT. Reduced trafficking of this mutant Mtb strain to lysosomes correlated with enhanced intracellular bacterial survival. Our results reveal that global alteration of the host lysosomal system is a defining feature of Mtb-infected macrophages and suggest that this altered lysosomal state protects host cell integrity and contributes to the containment of the pathogen.
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Affiliation(s)
- Kuldeep Sachdeva
- National Center for Biological Sciences, Tata Institute of Fundamental Research, Bengaluru, India
| | - Manisha Goel
- National Center for Biological Sciences, Tata Institute of Fundamental Research, Bengaluru, India
| | - Malvika Sudhakar
- Department of Biotechnology, Indian Institute of Technology Madras, Chennai, India; Initiative for Biological Systems Engineering, Robert Bosch Centre for Data Science and Artificial Intelligence (RBC-DSAI), Indian Institute of Technology Madras, Chennai, India
| | - Mansi Mehta
- Center for Infectious Disease Research, Department of Microbiology and Cell Biology, Indian Institute of Science, Bengaluru, India
| | - Rajmani Raju
- Center for Infectious Disease Research, Department of Microbiology and Cell Biology, Indian Institute of Science, Bengaluru, India
| | - Karthik Raman
- Department of Biotechnology, Indian Institute of Technology Madras, Chennai, India; Initiative for Biological Systems Engineering, Robert Bosch Centre for Data Science and Artificial Intelligence (RBC-DSAI), Indian Institute of Technology Madras, Chennai, India
| | - Amit Singh
- Center for Infectious Disease Research, Department of Microbiology and Cell Biology, Indian Institute of Science, Bengaluru, India
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