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Zamarreño J, Muñoz S, Alonso-Rodríguez E, Alcalá M, Rodríguez S, Bermejo R, Sacristán MP, Bueno A. Timely lagging strand maturation relies on Ubp10 deubiquitylase-mediated PCNA dissociation from replicating chromatin. Nat Commun 2024; 15:8183. [PMID: 39294185 PMCID: PMC11411133 DOI: 10.1038/s41467-024-52542-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Accepted: 09/11/2024] [Indexed: 09/20/2024] Open
Abstract
Synthesis and maturation of Okazaki Fragments is an incessant and highly efficient metabolic process completing the synthesis of the lagging strands at replication forks during S phase. Accurate Okazaki fragment maturation (OFM) is crucial to maintain genome integrity and, therefore, cell survival in all living organisms. In eukaryotes, OFM involves the consecutive action of DNA polymerase Pol ∂, 5' Flap endonuclease Fen1 and DNA ligase I, and constitutes the best example of a sequential process coordinated by the sliding clamp PCNA. For OFM to occur efficiently, cooperation of these enzymes with PCNA must be highly regulated. Here, we present evidence of a role for the K164-PCNA-deubiquitylase Ubp10 in the maturation of Okazaki fragments in the budding yeast Saccharomyces cerevisiae. We show that Ubp10 associates with lagging-strand DNA synthesis machineries on replicating chromatin to ensure timely ligation of Okazaki fragments by promoting PCNA dissociation from chromatin requiring lysine 164 deubiquitylation.
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Affiliation(s)
- Javier Zamarreño
- Instituto de Biología Molecular y Celular del Cáncer (IBMCC), Universidad de Salamanca-CSIC, Campus Miguel de Unamuno, Salamanca, Spain
- Departamento de Microbiología y Genética, Universidad de Salamanca, Campus Miguel de Unamuno, Salamanca, Spain
| | - Sofía Muñoz
- Instituto de Biología Molecular y Celular del Cáncer (IBMCC), Universidad de Salamanca-CSIC, Campus Miguel de Unamuno, Salamanca, Spain
- Departamento de Microbiología y Genética, Universidad de Salamanca, Campus Miguel de Unamuno, Salamanca, Spain
- Instituto de Biología Funcional y Genómica (IBFG), CSIC-Universidad de Salamanca, Salamanca, Spain
| | - Esmeralda Alonso-Rodríguez
- Instituto de Biología Molecular y Celular del Cáncer (IBMCC), Universidad de Salamanca-CSIC, Campus Miguel de Unamuno, Salamanca, Spain
- Departamento de Microbiología y Genética, Universidad de Salamanca, Campus Miguel de Unamuno, Salamanca, Spain
| | - Macarena Alcalá
- Instituto de Biología Molecular y Celular del Cáncer (IBMCC), Universidad de Salamanca-CSIC, Campus Miguel de Unamuno, Salamanca, Spain
- Departamento de Microbiología y Genética, Universidad de Salamanca, Campus Miguel de Unamuno, Salamanca, Spain
| | - Sergio Rodríguez
- Instituto de Biología Molecular y Celular del Cáncer (IBMCC), Universidad de Salamanca-CSIC, Campus Miguel de Unamuno, Salamanca, Spain
- Departamento de Microbiología y Genética, Universidad de Salamanca, Campus Miguel de Unamuno, Salamanca, Spain
| | - Rodrigo Bermejo
- Centro de Investigaciones Biológicas "Margarita Salas", CSIC, Madrid, Spain
| | - María P Sacristán
- Instituto de Biología Molecular y Celular del Cáncer (IBMCC), Universidad de Salamanca-CSIC, Campus Miguel de Unamuno, Salamanca, Spain.
- Departamento de Microbiología y Genética, Universidad de Salamanca, Campus Miguel de Unamuno, Salamanca, Spain.
| | - Avelino Bueno
- Instituto de Biología Molecular y Celular del Cáncer (IBMCC), Universidad de Salamanca-CSIC, Campus Miguel de Unamuno, Salamanca, Spain.
- Departamento de Microbiología y Genética, Universidad de Salamanca, Campus Miguel de Unamuno, Salamanca, Spain.
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2
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Chang LY, Hao TY, Wang WJ, Lin CY. Inference of single-cell network using mutual information for scRNA-seq data analysis. BMC Bioinformatics 2024; 25:292. [PMID: 39237886 PMCID: PMC11378379 DOI: 10.1186/s12859-024-05895-3] [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: 10/29/2022] [Accepted: 08/08/2024] [Indexed: 09/07/2024] Open
Abstract
BACKGROUND With the advance in single-cell RNA sequencing (scRNA-seq) technology, deriving inherent biological system information from expression profiles at a single-cell resolution has become possible. It has been known that network modeling by estimating the associations between genes could better reveal dynamic changes in biological systems. However, accurately constructing a single-cell network (SCN) to capture the network architecture of each cell and further explore cell-to-cell heterogeneity remains challenging. RESULTS We introduce SINUM, a method for constructing the SIngle-cell Network Using Mutual information, which estimates mutual information between any two genes from scRNA-seq data to determine whether they are dependent or independent in a specific cell. Experiments on various scRNA-seq datasets with different cell numbers based on eight performance indexes (e.g., adjusted rand index and F-measure index) validated the accuracy and robustness of SINUM in cell type identification, superior to the state-of-the-art SCN inference method. Additionally, the SINUM SCNs exhibit high overlap with the human interactome and possess the scale-free property. CONCLUSIONS SINUM presents a view of biological systems at the network level to detect cell-type marker genes/gene pairs and investigate time-dependent changes in gene associations during embryo development. Codes for SINUM are freely available at https://github.com/SysMednet/SINUM .
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Affiliation(s)
- Lan-Yun Chang
- Institute of Bioinformatics and Systems Biology, National Yang Ming Chiao Tung University, Hsinchu, 300, Taiwan
| | - Ting-Yi Hao
- Institute of Bioinformatics and Systems Biology, National Yang Ming Chiao Tung University, Hsinchu, 300, Taiwan
| | - Wei-Jie Wang
- Institute of Bioinformatics and Systems Biology, National Yang Ming Chiao Tung University, Hsinchu, 300, Taiwan
| | - Chun-Yu Lin
- Institute of Bioinformatics and Systems Biology, National Yang Ming Chiao Tung University, Hsinchu, 300, Taiwan.
- Department of Biological Science and Technology, National Yang Ming Chiao Tung University, Hsinchu, 300, Taiwan.
- Institute of Data Science and Engineering, National Yang Ming Chiao Tung University, Hsinchu, 300, Taiwan.
- Center for Intelligent Drug Systems and Smart Bio-Devices, National Yang Ming Chiao Tung University, Hsinchu, 300, Taiwan.
- Cancer and Immunology Research Center, National Yang Ming Chiao Tung University, Taipei, 112, Taiwan.
- School of Dentistry, Kaohsiung Medical University, Kaohsiung, 807, Taiwan.
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3
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Zykaj E, Abboud C, Asadi P, Warsame S, Almousa H, Milev MP, Greco BM, López-Sánchez M, Bratkovic D, Kachroo AH, Pérez-Jurado LA, Sacher M. A Humanized Yeast Model for Studying TRAPP Complex Mutations; Proof-of-Concept Using Variants from an Individual with a TRAPPC1-Associated Neurodevelopmental Syndrome. Cells 2024; 13:1457. [PMID: 39273027 PMCID: PMC11394476 DOI: 10.3390/cells13171457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2024] [Revised: 08/22/2024] [Accepted: 08/25/2024] [Indexed: 09/15/2024] Open
Abstract
Variants in membrane trafficking proteins are known to cause rare disorders with severe symptoms. The highly conserved transport protein particle (TRAPP) complexes are key membrane trafficking regulators that are also involved in autophagy. Pathogenic genetic variants in specific TRAPP subunits are linked to neurological disorders, muscular dystrophies, and skeletal dysplasias. Characterizing these variants and their phenotypes is important for understanding the general and specialized roles of TRAPP subunits as well as for patient diagnosis. Patient-derived cells are not always available, which poses a limitation for the study of these diseases. Therefore, other systems, like the yeast Saccharomyces cerevisiae, can be used to dissect the mechanisms at the intracellular level underlying these disorders. The development of CRISPR/Cas9 technology in yeast has enabled a scar-less editing method that creates an efficient humanized yeast model. In this study, core yeast subunits were humanized by replacing them with their human orthologs, and TRAPPC1, TRAPPC2, TRAPPC2L, TRAPPC6A, and TRAPPC6B were found to successfully replace their yeast counterparts. This system was used for studying the first reported individual with an autosomal recessive disorder caused by biallelic TRAPPC1 variants, a girl with a severe neurodevelopmental disorder and myopathy. We show that the maternal variant (TRAPPC1 p.(Val121Alafs*3)) is non-functional while the paternal variant (TRAPPC1 p.(His22_Lys24del)) is conditional-lethal and affects secretion and non-selective autophagy in yeast. This parallels defects seen in fibroblasts derived from this individual which also showed membrane trafficking defects and altered Golgi morphology, all of which were rescued in the human system by wild-type TRAPPC1. This study suggests that humanized yeast can be an efficient means to study TRAPP subunit variants in the absence of human cells and can assign significance to variants of unknown significance (VUS). This study lays the foundation for characterizing further TRAPP variants through this system, rapidly contributing to disease diagnosis.
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Affiliation(s)
- Erta Zykaj
- Department of Biology, Concordia University, Montreal, QC H4B1R6, Canada
| | - Chelsea Abboud
- Department of Biology, Concordia University, Montreal, QC H4B1R6, Canada
| | - Paria Asadi
- Department of Biology, Concordia University, Montreal, QC H4B1R6, Canada
| | - Simane Warsame
- Department of Biology, Concordia University, Montreal, QC H4B1R6, Canada
| | - Hashem Almousa
- Department of Biology, Concordia University, Montreal, QC H4B1R6, Canada
| | - Miroslav P Milev
- Department of Biology, Concordia University, Montreal, QC H4B1R6, Canada
| | - Brittany M Greco
- Department of Biology, Concordia University, Montreal, QC H4B1R6, Canada
| | - Marcos López-Sánchez
- Department of Medicine and Life Sciences, Universitat Pompeu Fabra, 08003 Barcelona, Spain
- Hospital del Mar, Hospital del Mar Research Institute (IMIM), 08003 Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), ISCIII, 28029 Madrid, Spain
| | - Drago Bratkovic
- Women's and Children's Hospital, Metabolic Clinic, North Adelaide, SA 5006, Australia
| | - Aashiq H Kachroo
- Department of Biology, Concordia University, Montreal, QC H4B1R6, Canada
| | - Luis Alberto Pérez-Jurado
- Department of Medicine and Life Sciences, Universitat Pompeu Fabra, 08003 Barcelona, Spain
- Hospital del Mar, Hospital del Mar Research Institute (IMIM), 08003 Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), ISCIII, 28029 Madrid, Spain
- Women's and Children's Hospital, Metabolic Clinic, North Adelaide, SA 5006, Australia
| | - Michael Sacher
- Department of Biology, Concordia University, Montreal, QC H4B1R6, Canada
- Department of Anatomy and Cell Biology, McGill University, Montreal, QC H3A 0C7, Canada
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4
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Davison JR, Hadjithomas M, Romeril SP, Choi YJ, Bentley KW, Biggins JB, Chacko N, Castaldi MP, Chan LK, Cumming JN, Downes TD, Eisenhauer EL, Fei F, Fontaine BM, Endalur Gopinarayanan V, Gurnani S, Hecht A, Hosford CJ, Ibrahim A, Jagels A, Joubran C, Kim JN, Lisher JP, Liu DD, Lyles JT, Mannara MN, Murray GJ, Musial E, Niu M, Olivares-Amaya R, Percuoco M, Saalau S, Sharpe K, Sheahan AV, Thevakumaran N, Thompson JE, Thompson DA, Wiest A, Wyka SA, Yano J, Verdine GL. Genomic Discovery and Structure-Activity Exploration of a Novel Family of Enzyme-Activated Covalent Cyclin-Dependent Kinase Inhibitors. J Med Chem 2024; 67:13147-13173. [PMID: 39078366 PMCID: PMC11320645 DOI: 10.1021/acs.jmedchem.4c01095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2024] [Revised: 07/03/2024] [Accepted: 07/18/2024] [Indexed: 07/31/2024]
Abstract
Fungi have historically been the source of numerous important medicinal compounds, but full exploitation of their genetic potential for drug development has been hampered in traditional discovery paradigms. Here we describe a radically different approach, top-down drug discovery (TD3), starting with a massive digital search through a database of over 100,000 fully genomicized fungi to identify loci encoding molecules with a predetermined human target. We exemplify TD3 by the selection of cyclin-dependent kinases (CDKs) as targets and the discovery of two molecules, 1 and 2, which inhibit therapeutically important human CDKs. 1 and 2 exhibit a remarkable mechanism, forming a site-selective covalent bond to the CDK active site Lys. We explored the structure-activity relationship via semi- and total synthesis, generating an analog, 43, with improved kinase selectivity, bioavailability, and efficacy. This work highlights the power of TD3 to identify mechanistically and structurally novel molecules for the development of new medicines.
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Affiliation(s)
- Jack R. Davison
- LifeMine
Therapeutics, 30 Acorn Park Drive, Cambridge, Massachusetts 02140, United States
| | - Michalis Hadjithomas
- LifeMine
Therapeutics, 30 Acorn Park Drive, Cambridge, Massachusetts 02140, United States
| | - Stuart P. Romeril
- LifeMine
Therapeutics, 30 Acorn Park Drive, Cambridge, Massachusetts 02140, United States
| | - Yoon Jong Choi
- LifeMine
Therapeutics, 30 Acorn Park Drive, Cambridge, Massachusetts 02140, United States
| | - Keith W. Bentley
- LifeMine
Therapeutics, 30 Acorn Park Drive, Cambridge, Massachusetts 02140, United States
| | - John B. Biggins
- LifeMine
Therapeutics, 30 Acorn Park Drive, Cambridge, Massachusetts 02140, United States
| | - Nadia Chacko
- LifeMine
Therapeutics, 30 Acorn Park Drive, Cambridge, Massachusetts 02140, United States
| | - M. Paola Castaldi
- LifeMine
Therapeutics, 30 Acorn Park Drive, Cambridge, Massachusetts 02140, United States
| | - Lawrence K. Chan
- LifeMine
Therapeutics, 30 Acorn Park Drive, Cambridge, Massachusetts 02140, United States
| | - Jared N. Cumming
- LifeMine
Therapeutics, 30 Acorn Park Drive, Cambridge, Massachusetts 02140, United States
| | - Thomas D. Downes
- LifeMine
Therapeutics, 30 Acorn Park Drive, Cambridge, Massachusetts 02140, United States
| | - Eric L. Eisenhauer
- LifeMine
Therapeutics, 30 Acorn Park Drive, Cambridge, Massachusetts 02140, United States
| | - Fan Fei
- LifeMine
Therapeutics, 30 Acorn Park Drive, Cambridge, Massachusetts 02140, United States
| | - Benjamin M. Fontaine
- LifeMine
Therapeutics, 30 Acorn Park Drive, Cambridge, Massachusetts 02140, United States
| | | | - Srishti Gurnani
- LifeMine
Therapeutics, 30 Acorn Park Drive, Cambridge, Massachusetts 02140, United States
| | - Audrey Hecht
- LifeMine
Therapeutics, 30 Acorn Park Drive, Cambridge, Massachusetts 02140, United States
| | - Christopher J. Hosford
- LifeMine
Therapeutics, 30 Acorn Park Drive, Cambridge, Massachusetts 02140, United States
| | - Ashraf Ibrahim
- LifeMine
Therapeutics, 30 Acorn Park Drive, Cambridge, Massachusetts 02140, United States
| | - Annika Jagels
- LifeMine
Therapeutics, 30 Acorn Park Drive, Cambridge, Massachusetts 02140, United States
| | - Camil Joubran
- LifeMine
Therapeutics, 30 Acorn Park Drive, Cambridge, Massachusetts 02140, United States
| | - Ji-Nu Kim
- LifeMine
Therapeutics, 30 Acorn Park Drive, Cambridge, Massachusetts 02140, United States
| | - John P. Lisher
- LifeMine
Therapeutics, 30 Acorn Park Drive, Cambridge, Massachusetts 02140, United States
| | - Daniel D. Liu
- LifeMine
Therapeutics, 30 Acorn Park Drive, Cambridge, Massachusetts 02140, United States
| | - James T. Lyles
- LifeMine
Therapeutics, 30 Acorn Park Drive, Cambridge, Massachusetts 02140, United States
| | - Matteo N. Mannara
- LifeMine
Therapeutics, 30 Acorn Park Drive, Cambridge, Massachusetts 02140, United States
| | - Gordon J. Murray
- LifeMine
Therapeutics, 30 Acorn Park Drive, Cambridge, Massachusetts 02140, United States
| | - Emilia Musial
- LifeMine
Therapeutics, 30 Acorn Park Drive, Cambridge, Massachusetts 02140, United States
| | - Mengyao Niu
- LifeMine
Therapeutics, 30 Acorn Park Drive, Cambridge, Massachusetts 02140, United States
| | - Roberto Olivares-Amaya
- LifeMine
Therapeutics, 30 Acorn Park Drive, Cambridge, Massachusetts 02140, United States
| | - Marielle Percuoco
- LifeMine
Therapeutics, 30 Acorn Park Drive, Cambridge, Massachusetts 02140, United States
| | - Susanne Saalau
- LifeMine
Therapeutics, 30 Acorn Park Drive, Cambridge, Massachusetts 02140, United States
| | - Kristen Sharpe
- LifeMine
Therapeutics, 30 Acorn Park Drive, Cambridge, Massachusetts 02140, United States
| | - Anjali V. Sheahan
- LifeMine
Therapeutics, 30 Acorn Park Drive, Cambridge, Massachusetts 02140, United States
| | - Neroshan Thevakumaran
- LifeMine
Therapeutics, 30 Acorn Park Drive, Cambridge, Massachusetts 02140, United States
| | - James E. Thompson
- LifeMine
Therapeutics, 30 Acorn Park Drive, Cambridge, Massachusetts 02140, United States
| | - Dawn A. Thompson
- LifeMine
Therapeutics, 30 Acorn Park Drive, Cambridge, Massachusetts 02140, United States
| | - Aric Wiest
- LifeMine
Therapeutics, 30 Acorn Park Drive, Cambridge, Massachusetts 02140, United States
| | - Stephen A. Wyka
- LifeMine
Therapeutics, 30 Acorn Park Drive, Cambridge, Massachusetts 02140, United States
| | - Jason Yano
- LifeMine
Therapeutics, 30 Acorn Park Drive, Cambridge, Massachusetts 02140, United States
| | - Gregory L. Verdine
- LifeMine
Therapeutics, 30 Acorn Park Drive, Cambridge, Massachusetts 02140, United States
- Departments
of Chemistry and Chemical Biology, and Stem Cell and Regenerative
Biology, Harvard University and Harvard
Medical School, 12 Oxford Street, Cambridge, Massachusetts 02138, United States
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5
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Fan X, He H, Wang T, Xu P, Zhang F, Hu S, Yun Y, Mei M, Zhang G, Yi L. Characterizing interactions of endoplasmic reticulum resident proteins in situ through the YST-PPI method. Biotechnol J 2024; 19:e2400346. [PMID: 39212204 DOI: 10.1002/biot.202400346] [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: 05/25/2024] [Revised: 08/14/2024] [Accepted: 08/16/2024] [Indexed: 09/04/2024]
Abstract
The mutual interactions of endoplasmic reticulum (ER) resident proteins in the ER maintain its functions, prompting the protein folding, modification, and transportation. Here, a new method, named YST-PPI (YESS-based Split fast TEV protease system for Protein-Protein Interaction) was developed, targeting the characterization of protein interactions in ER. YST-PPI method integrated the YESS system, split-TEV technology, and endoplasmic reticulum retention signal peptide (ERS) to provide an effective strategy for studying ER in situ PPIs in a fast and quantitative manner. The interactions among 15 ER-resident proteins, most being identified molecular chaperones, of S. cerevisiae were explored using the YST-PPI system, and their interaction network map was constructed, in which more than 74 interacting resident protein pairs were identified. Our studies also showed that Lhs1p plays a critical role in regulating the interactions of most of the ER-resident proteins, except the Sil1p, indicating its potential role in controlling the ER molecular chaperones. Moreover, the mutual interaction revealed by our studies further confirmed that the ER-resident proteins perform their functions in a cooperative way and a multimer complex might be formed during the process.
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Affiliation(s)
- Xian Fan
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Collaborative, Innovation Center for Green Transformation of Bio-resources, Hubei Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, Wuhan, China
| | - Huahua He
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Collaborative, Innovation Center for Green Transformation of Bio-resources, Hubei Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, Wuhan, China
| | - Ting Wang
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Collaborative, Innovation Center for Green Transformation of Bio-resources, Hubei Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, Wuhan, China
| | - Pan Xu
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Collaborative, Innovation Center for Green Transformation of Bio-resources, Hubei Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, Wuhan, China
| | - Faying Zhang
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Collaborative, Innovation Center for Green Transformation of Bio-resources, Hubei Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, Wuhan, China
- College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China
| | - Shantong Hu
- College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China
| | - Yueli Yun
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Collaborative, Innovation Center for Green Transformation of Bio-resources, Hubei Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, Wuhan, China
| | - Meng Mei
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Collaborative, Innovation Center for Green Transformation of Bio-resources, Hubei Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, Wuhan, China
| | - Guimin Zhang
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Collaborative, Innovation Center for Green Transformation of Bio-resources, Hubei Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, Wuhan, China
- College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China
| | - Li Yi
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Collaborative, Innovation Center for Green Transformation of Bio-resources, Hubei Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, Wuhan, China
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6
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Meyer-Schuman R, Cale AR, Pierluissi JA, Jonatzke KE, Park YN, Lenk GM, Oprescu SN, Grachtchouk MA, Dlugosz AA, Beg AA, Meisler MH, Antonellis A. A model organism pipeline provides insight into the clinical heterogeneity of TARS1 loss-of-function variants. HGG ADVANCES 2024; 5:100324. [PMID: 38956874 PMCID: PMC11284558 DOI: 10.1016/j.xhgg.2024.100324] [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: 04/01/2024] [Revised: 06/27/2024] [Accepted: 06/27/2024] [Indexed: 07/04/2024] Open
Abstract
Aminoacyl-tRNA synthetases (ARSs) are ubiquitously expressed, essential enzymes that complete the first step of protein translation: ligation of amino acids to cognate tRNAs. Genes encoding ARSs have been implicated in myriad dominant and recessive phenotypes, the latter often affecting multiple tissues but with frequent involvement of the central and peripheral nervous systems, liver, and lungs. Threonyl-tRNA synthetase (TARS1) encodes the enzyme that ligates threonine to tRNATHR in the cytoplasm. To date, TARS1 variants have been implicated in a recessive brittle hair phenotype. To better understand TARS1-related recessive phenotypes, we engineered three TARS1 missense variants at conserved residues and studied these variants in Saccharomyces cerevisiae and Caenorhabditis elegans models. This revealed two loss-of-function variants, including one hypomorphic allele (R433H). We next used R433H to study the effects of partial loss of TARS1 function in a compound heterozygous mouse model (R432H/null). This model presents with phenotypes reminiscent of patients with TARS1 variants and with distinct lung and skin defects. This study expands the potential clinical heterogeneity of TARS1-related recessive disease, which should guide future clinical and genetic evaluations of patient populations.
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Affiliation(s)
| | - Allison R Cale
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA
| | | | - Kira E Jonatzke
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Young N Park
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Guy M Lenk
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA
| | | | | | - Andrzej A Dlugosz
- Department of Dermatology, University of Michigan, Ann Arbor, MI, USA; Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA; Department of Cell and Developmental Biology, University of Michigan, Ann Arbor, MI, USA
| | - Asim A Beg
- Neuroscience Graduate Program, University of Michigan, Ann Arbor, MI, USA
| | - Miriam H Meisler
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA; Department of Neurology, University of Michigan, Ann Arbor, MI, USA
| | - Anthony Antonellis
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA; Department of Neurology, University of Michigan, Ann Arbor, MI, USA.
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7
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Lapointe MR, Laframboise T, Pirkkanen J, Tai TC, Lees SJ, Santa Maria SR, Tharmalingam S, Boreham DR, Thome C. Protracted Exposure to a Sub-background Radiation Environment Negatively Impacts the Anhydrobiotic Recovery of Desiccated Yeast Sentinels. HEALTH PHYSICS 2024; 126:397-404. [PMID: 38568172 DOI: 10.1097/hp.0000000000001804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/26/2024]
Abstract
ABSTRACT Experiments that examine the impacts of subnatural background radiation exposure provide a unique approach to studying the biological effects of low-dose radiation. These experiments often need to be conducted in deep underground laboratories in order to filter surface-level cosmic radiation. This presents some logistical challenges in experimental design and necessitates a model organism with minimal maintenance. As such, desiccated yeast ( Saccharomyces cerevisiae ) is an ideal model system for these investigations. This study aimed to determine the impact of prolonged sub-background radiation exposure in anhydrobiotic (desiccated) yeast at SNOLAB in Sudbury, Ontario, Canada. Two yeast strains were used: a normal wild type and an isogenic recombinational repair-deficient rad51 knockout strain ( rad51 Δ). Desiccated yeast samples were stored in the normal background surface control laboratory (68.0 nGy h -1 ) and in the sub-background environment within SNOLAB (10.1 nGy h -1 ) for up to 48 wk. Post-rehydration survival, growth rate, and metabolic activity were assessed at multiple time points. Survival in the sub-background environment was significantly reduced by a factor of 1.39 and 2.67 in the wild type and rad51 ∆ strains, respectively. Post-rehydration metabolic activity measured via alamarBlue reduction remained unchanged in the wild type strain but was 26% lower in the sub-background rad51 ∆ strain. These results demonstrate that removing natural background radiation negatively impacts the survival and metabolism of desiccated yeast, highlighting the potential importance of natural radiation exposure in maintaining homeostasis of living organisms.
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Affiliation(s)
| | | | | | | | - Simon J Lees
- Medical Sciences Division, NOSM University, Sudbury, Ontario, Canada
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8
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Deng L, Zhou YL, Cai Z, Zhu J, Li Z, Bao Z. Massively parallel CRISPR-assisted homologous recombination enables saturation editing of full-length endogenous genes in yeast. SCIENCE ADVANCES 2024; 10:eadj9382. [PMID: 38748797 PMCID: PMC11095455 DOI: 10.1126/sciadv.adj9382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/10/2023] [Accepted: 04/10/2024] [Indexed: 05/19/2024]
Abstract
Performing saturation editing of chromosomal genes will enable the study of genetic variants in situ and facilitate protein and cell engineering. However, current in vivo editing of endogenous genes either lacks flexibility or is limited to discrete codons and short gene fragments, preventing a comprehensive exploration of genotype-phenotype relationships. To enable facile saturation editing of full-length genes, we used a protospacer adjacent motif-relaxed Cas9 variant and homology-directed repair to achieve above 60% user-defined codon replacement efficiencies in Saccharomyces cerevisiae genome. Coupled with massively parallel DNA design and synthesis, we developed a saturation gene editing method termed CRISPR-Cas9- and homology-directed repair-assisted saturation editing (CHASE) and achieved highly saturated codon swapping of long genomic regions. By applying CHASE to massively edit a well-studied global transcription factor gene, we found known and unreported genetic variants affecting an industrially relevant microbial trait. The user-defined codon editing capability and wide targeting windows of CHASE substantially expand the scope of saturation gene editing.
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Affiliation(s)
- Lei Deng
- Key Laboratory of Biomass Chemical Engineering of Ministry of Education, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310058, Zhejiang, China
- ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 311215, Zhejiang, China
- Institute of Bioengineering, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310058, Zhejiang, China
| | - Yi-Lian Zhou
- Key Laboratory of Biomass Chemical Engineering of Ministry of Education, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310058, Zhejiang, China
- ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 311215, Zhejiang, China
- Institute of Bioengineering, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310058, Zhejiang, China
| | - Zhenkun Cai
- Key Laboratory of Biomass Chemical Engineering of Ministry of Education, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310058, Zhejiang, China
- ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 311215, Zhejiang, China
- Institute of Bioengineering, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310058, Zhejiang, China
| | - Jie Zhu
- Bota Biosciences, Hangzhou 311222, Zhejiang, China
| | - Zenan Li
- Bota Biosciences, Hangzhou 311222, Zhejiang, China
| | - Zehua Bao
- Key Laboratory of Biomass Chemical Engineering of Ministry of Education, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310058, Zhejiang, China
- ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 311215, Zhejiang, China
- Institute of Bioengineering, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310058, Zhejiang, China
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9
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Santra HK, Dutta R, Banerjee D. Antifungal activity of bio-active cell-free culture extracts and volatile organic compounds (VOCs) synthesised by endophytic fungal isolates of Garden Nasturtium. Sci Rep 2024; 14:11228. [PMID: 38755187 PMCID: PMC11099177 DOI: 10.1038/s41598-024-60948-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 04/29/2024] [Indexed: 05/18/2024] Open
Abstract
Antimicrobial resistance in fungal pathogens (both human and plant) is increasing alarmingly, leading to massive economic crises. The existing anti-fungal agents are becoming ineffective, and the situation worsens on a logarithmic scale. Novel antifungals from unique natural sources are highly sought to cope sustainably with the situation. Metabolites from endophytic microbes are the best-fitted alternatives in this case. Endophytes are the untapped sources of 'plants' internal microbial population' and are promising sources of effective bio-therapeutic agents. Fungal endophytes were isolated from Tropaeolum majus and checked for antifungal activity against selected plant and human pathogens. Bioactive metabolites were identified through chromatographic techniques. The mode of action of those metabolites was evaluated through various spectroscopic techniques. The production of antifungal metabolite was optimized also. In particular VOCs (volatile organic compounds) of TML9 were tested in vitro for their anti-phytopathogenic activity. Ethyl acetate (EA) extract of cell-free culture components of Colletotrichum aenigma TML3 exhibited broad-spectrum antifungal activity against four species of Candida and the major constituents reported were 6-pentyl-2H-pyran-2-one, 2-Nonanone, 1 propanol 2-amino. The volatile metabolites, trans-ocimene, geraniol, and 4-terpinyl acetate, produced from Curvularia lunata TML9, inhibited the growth of some selected phyto pathogens. EA extract hampered the biofilm formation, minimised the haemolytic effect, and blocked the transformation of Candida albicans (MTCC 4748) from yeast to hyphal form with a Minimum Fungicidal Concentration (MFC) of 200-600 µg mL-1. Central carbohydrate metabolism, ergosterol synthesis, and membrane permeability were adversely affected and caused the lethal leakage of necessary macromolecules of C. albicans. Volatile metabolites inhibited the growth of phytopathogens i.e., Rhizoctonia solani, Alternaria alternata, Botrytis cinerea, Cercospora beticola, Penicillium digitatum, Aspergillus fumigatus, Ceratocystis ulmi, Pythium ultimum up to 89% with an IC50 value of 21.3-69.6 µL 50 mL-1 and caused leakage of soluble proteins and other intracellular molecules. Citrusy sweet odor volatiles of TML9 cultured in wheat-husk minimised the infections of Penicillium digitatum (green mold), in VOC-exposed sweet oranges (Citrus sinensis). Volatile and non-volatile antifungal metabolites of these two T. majus endophytes hold agricultural and pharmaceutical interests. Metabolites of TML3 have strong anti-Candida activity and require further assessment for therapeutic applications. Also, volatile metabolites of TML9 can be further studied as a source of antifungals. The present investigational outcomes bio-prospects the efficacy of fungal endophytes of Garden Nasturtium.
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Affiliation(s)
- Hiran Kanti Santra
- Microbiology and Microbial Biotechnology Laboratory, Department of Botany and Forestry, Vidyasagar University, Midnapore, West Bengal, 721102, India
| | - Riya Dutta
- Center for Life Sciences, Vidyasagar University, Midnapore, West Bengal, 721102, India
| | - Debdulal Banerjee
- Microbiology and Microbial Biotechnology Laboratory, Department of Botany and Forestry, Vidyasagar University, Midnapore, West Bengal, 721102, India.
- Center for Life Sciences, Vidyasagar University, Midnapore, West Bengal, 721102, India.
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10
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Plyler ZE, McAtee CW, Hill AE, Crowley MR, Tindall JM, Tindall SR, Joshi D, Sorscher EJ. Relationships between genomic dissipation and de novo SNP evolution. PLoS One 2024; 19:e0303257. [PMID: 38753830 PMCID: PMC11098520 DOI: 10.1371/journal.pone.0303257] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2024] [Accepted: 04/23/2024] [Indexed: 05/18/2024] Open
Abstract
Patterns of single nucleotide polymorphisms (SNPs) in eukaryotic DNA are traditionally attributed to selective pressure, drift, identity descent, or related factors-without accounting for ways in which bias during de novo SNP formation, itself, might contribute. A functional and phenotypic analysis based on evolutionary resilience of DNA points to decreased numbers of non-synonymous SNPs in human and other genomes, with a predominant component of SNP depletion in the human gene pool caused by robust preferences during de novo SNP formation (rather than selective constraint). Ramifications of these findings are broad, belie a number of concepts regarding human evolution, and point to a novel interpretation of evolving DNA across diverse species.
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Affiliation(s)
- Zackery E. Plyler
- Department of Biology, University of Alabama at Birmingham, Birmingham, Alabama, United States of America
- Gregory Fleming James Cystic Fibrosis Research Center, University of Alabama at Birmingham, Birmingham, Alabama, United States of America
| | - Christopher W. McAtee
- Department of Biology, University of Alabama at Birmingham, Birmingham, Alabama, United States of America
- Gregory Fleming James Cystic Fibrosis Research Center, University of Alabama at Birmingham, Birmingham, Alabama, United States of America
| | - Aubrey E. Hill
- Gregory Fleming James Cystic Fibrosis Research Center, University of Alabama at Birmingham, Birmingham, Alabama, United States of America
- Department of Computer and Information Sciences, University of Alabama at Birmingham, Birmingham, Alabama, United States of America
| | - Michael R. Crowley
- Department of Genetics, University of Alabama at Birmingham, Birmingham, Alabama, United States of America
| | | | | | - Disha Joshi
- Emory University, Atlanta, Georgia, United States of America
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11
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Gardner EC, Tramont C, Bachanová P, Wang C, Do H, Boutz DR, Kar S, Zemelman BV, Gollihar JD, Ellington AD. Engineering a human P2X2 receptor with altered ligand selectivity in yeast. J Biol Chem 2024; 300:107248. [PMID: 38556082 PMCID: PMC11063903 DOI: 10.1016/j.jbc.2024.107248] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Revised: 03/14/2024] [Accepted: 03/23/2024] [Indexed: 04/02/2024] Open
Abstract
P2X receptors are a family of ligand gated ion channels found in a range of eukaryotic species including humans but are not naturally present in the yeast Saccharomyces cerevisiae. We demonstrate the first recombinant expression and functional gating of the P2X2 receptor in baker's yeast. We leverage the yeast host for facile genetic screens of mutant P2X2 by performing site saturation mutagenesis at residues of interest, including SNPs implicated in deafness and at residues involved in native binding. Deep mutational analysis and rounds of genetic engineering yield mutant P2X2 F303Y A304W, which has altered ligand selectivity toward the ATP analog AMP-PNP. The F303Y A304W variant shows over 100-fold increased intracellular calcium amplitudes with AMP-PNP compared to the WT receptor and has a much lower desensitization rate. Since AMP-PNP does not naturally activate P2X receptors, the F303Y A304W P2X2 may be a starting point for downstream applications in chemogenetic cellular control. Interestingly, the A304W mutation selectively destabilizes the desensitized state, which may provide a mechanistic basis for receptor opening with suboptimal agonists. The yeast system represents an inexpensive, scalable platform for ion channel characterization and engineering by circumventing the more expensive and time-consuming methodologies involving mammalian hosts.
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Affiliation(s)
- Elizabeth C Gardner
- Department of Molecular Biosciences, Center for Systems and Synthetic Biology, The University of Texas at Austin, Austin, Texas, USA
| | - Caitlin Tramont
- Department of Molecular Biosciences, Center for Systems and Synthetic Biology, The University of Texas at Austin, Austin, Texas, USA
| | - Petra Bachanová
- Department of Molecular Biosciences, Center for Systems and Synthetic Biology, The University of Texas at Austin, Austin, Texas, USA
| | - Chad Wang
- Department of Molecular Biosciences, Center for Systems and Synthetic Biology, The University of Texas at Austin, Austin, Texas, USA
| | - Hannah Do
- Department of Molecular Biosciences, Center for Systems and Synthetic Biology, The University of Texas at Austin, Austin, Texas, USA
| | - Daniel R Boutz
- Antibody Discovery and Accelerated Protein Therapeutics, Department of Pathology & Genomic Medicine, Houston Methodist Research Institute, Houston, Texas, USA
| | - Shaunak Kar
- Antibody Discovery and Accelerated Protein Therapeutics, Department of Pathology & Genomic Medicine, Houston Methodist Research Institute, Houston, Texas, USA
| | - Boris V Zemelman
- Department of Neuroscience, Center for Learning and Memory, The University of Texas at Austin, Austin, Texas, USA.
| | - Jimmy D Gollihar
- Antibody Discovery and Accelerated Protein Therapeutics, Department of Pathology & Genomic Medicine, Houston Methodist Research Institute, Houston, Texas, USA.
| | - Andrew D Ellington
- Department of Molecular Biosciences, Center for Systems and Synthetic Biology, The University of Texas at Austin, Austin, Texas, USA.
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12
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Nguyen TN, Ingle C, Thompson S, Reynolds KA. The genetic landscape of a metabolic interaction. Nat Commun 2024; 15:3351. [PMID: 38637543 PMCID: PMC11026382 DOI: 10.1038/s41467-024-47671-0] [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: 08/17/2023] [Accepted: 04/09/2024] [Indexed: 04/20/2024] Open
Abstract
While much prior work has explored the constraints on protein sequence and evolution induced by physical protein-protein interactions, the sequence-level constraints emerging from non-binding functional interactions in metabolism remain unclear. To quantify how variation in the activity of one enzyme constrains the biochemical parameters and sequence of another, we focus on dihydrofolate reductase (DHFR) and thymidylate synthase (TYMS), a pair of enzymes catalyzing consecutive reactions in folate metabolism. We use deep mutational scanning to quantify the growth rate effect of 2696 DHFR single mutations in 3 TYMS backgrounds under conditions selected to emphasize biochemical epistasis. Our data are well-described by a relatively simple enzyme velocity to growth rate model that quantifies how metabolic context tunes enzyme mutational tolerance. Together our results reveal the structural distribution of epistasis in a metabolic enzyme and establish a foundation for the design of multi-enzyme systems.
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Affiliation(s)
- Thuy N Nguyen
- The Green Center for Systems Biology, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA
- The Lyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA
- The Department of Biophysics, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA
- Form Bio, Dallas, TX, 75226, USA
| | - Christine Ingle
- The Green Center for Systems Biology, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA
- The Lyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA
- The Department of Biophysics, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA
| | - Samuel Thompson
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA, 94158, USA
- Department of Bioengineering, Stanford University, Stanford, CA, 94305, USA
| | - Kimberly A Reynolds
- The Green Center for Systems Biology, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA.
- The Lyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA.
- The Department of Biophysics, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA.
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13
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Bohutínská M, Peichel CL. Divergence time shapes gene reuse during repeated adaptation. Trends Ecol Evol 2024; 39:396-407. [PMID: 38155043 DOI: 10.1016/j.tree.2023.11.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Revised: 11/15/2023] [Accepted: 11/20/2023] [Indexed: 12/30/2023]
Abstract
When diverse lineages repeatedly adapt to similar environmental challenges, the extent to which the same genes are involved (gene reuse) varies across systems. We propose that divergence time among lineages is a key factor driving this variability: as lineages diverge, the extent of gene reuse should decrease due to reductions in allele sharing, functional differentiation among genes, and restructuring of genome architecture. Indeed, we show that many genomic studies of repeated adaptation find that more recently diverged lineages exhibit higher gene reuse during repeated adaptation, but the relationship becomes less clear at older divergence time scales. Thus, future research should explore the factors shaping gene reuse and their interplay across broad divergence time scales for a deeper understanding of evolutionary repeatability.
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Affiliation(s)
- Magdalena Bohutínská
- Division of Evolutionary Ecology, Institute of Ecology and Evolution, University of Bern, Bern, 3012, Switzerland; Department of Botany, Faculty of Science, Charles University, Prague, 12800, Czech Republic.
| | - Catherine L Peichel
- Division of Evolutionary Ecology, Institute of Ecology and Evolution, University of Bern, Bern, 3012, Switzerland
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14
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Caron-Godon CA, Collington E, Wolf JL, Coletta G, Glerum DM. More than Just Bread and Wine: Using Yeast to Understand Inherited Cytochrome Oxidase Deficiencies in Humans. Int J Mol Sci 2024; 25:3814. [PMID: 38612624 PMCID: PMC11011759 DOI: 10.3390/ijms25073814] [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: 03/06/2024] [Revised: 03/26/2024] [Accepted: 03/28/2024] [Indexed: 04/14/2024] Open
Abstract
Inherited defects in cytochrome c oxidase (COX) are associated with a substantial subset of diseases adversely affecting the structure and function of the mitochondrial respiratory chain. This multi-subunit enzyme consists of 14 subunits and numerous cofactors, and it requires the function of some 30 proteins to assemble. COX assembly was first shown to be the primary defect in the majority of COX deficiencies 36 years ago. Over the last three decades, most COX assembly genes have been identified in the yeast Saccharomyces cerevisiae, and studies in yeast have proven instrumental in testing the impact of mutations identified in patients with a specific COX deficiency. The advent of accessible genome-wide sequencing capabilities has led to more patient mutations being identified, with the subsequent identification of several new COX assembly factors. However, the lack of genotype-phenotype correlations and the large number of genes involved in generating a functional COX mean that functional studies must be undertaken to assign a genetic variant as being causal. In this review, we provide a brief overview of the use of yeast as a model system and briefly compare the COX assembly process in yeast and humans. We focus primarily on the studies in yeast that have allowed us to both identify new COX assembly factors and to demonstrate the pathogenicity of a subset of the mutations that have been identified in patients with inherited defects in COX. We conclude with an overview of the areas in which studies in yeast are likely to continue to contribute to progress in understanding disease arising from inherited COX deficiencies.
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Affiliation(s)
- Chenelle A. Caron-Godon
- Department of Biology, University of Waterloo, Waterloo, ON N2L 3G1, Canada; (C.A.C.-G.); (E.C.); (J.L.W.); (G.C.)
| | - Emma Collington
- Department of Biology, University of Waterloo, Waterloo, ON N2L 3G1, Canada; (C.A.C.-G.); (E.C.); (J.L.W.); (G.C.)
| | - Jessica L. Wolf
- Department of Biology, University of Waterloo, Waterloo, ON N2L 3G1, Canada; (C.A.C.-G.); (E.C.); (J.L.W.); (G.C.)
| | - Genna Coletta
- Department of Biology, University of Waterloo, Waterloo, ON N2L 3G1, Canada; (C.A.C.-G.); (E.C.); (J.L.W.); (G.C.)
| | - D. Moira Glerum
- Department of Biology, University of Waterloo, Waterloo, ON N2L 3G1, Canada; (C.A.C.-G.); (E.C.); (J.L.W.); (G.C.)
- Waterloo Institute for Nanotechnology, University of Waterloo, Waterloo, ON N2L 3G1, Canada
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15
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Dibyachintan S, Dube AK, Bradley D, Lemieux P, Dionne U, Landry CR. Cryptic genetic variation shapes the fate of gene duplicates in a protein interaction network. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.23.581840. [PMID: 38464075 PMCID: PMC10925128 DOI: 10.1101/2024.02.23.581840] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
Paralogous genes are often redundant for long periods of time before they diverge in function. While their functions are preserved, paralogous proteins can accumulate mutations that, through epistasis, could impact their fate in the future. By quantifying the impact of all single-amino acid substitutions on the binding of two myosin proteins to their interaction partners, we find that the future evolution of these proteins is highly contingent on their regulatory divergence and the mutations that have silently accumulated in their protein binding domains. Differences in the promoter strength of the two paralogs amplify the impact of mutations on binding in the lowly expressed one. While some mutations would be sufficient to non-functionalize one paralog, they would have minimal impact on the other. Our results reveal how functionally equivalent protein domains could be destined to specific fates by regulatory and cryptic coding sequence changes that currently have little to no functional impact.
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Affiliation(s)
- Soham Dibyachintan
- PROTEO-Regroupement Québécois de Recherche sur la Fonction, l'Ingénierie et les Applications des Protéines, Québec, QC, Canada
- Centre de Recherche en Données Massives de l'Université Laval, Université Laval, Québec, QC, Canada
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, QC, Canada
- Département de Biochimie, de Microbiologie et de Bio-Informatique, Université Laval, Québec, QC, Canada
| | - Alexandre K Dube
- PROTEO-Regroupement Québécois de Recherche sur la Fonction, l'Ingénierie et les Applications des Protéines, Québec, QC, Canada
- Centre de Recherche en Données Massives de l'Université Laval, Université Laval, Québec, QC, Canada
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, QC, Canada
- Département de Biochimie, de Microbiologie et de Bio-Informatique, Université Laval, Québec, QC, Canada
- Département de Biologie, Université Laval, Québec, QC, Canada
| | - David Bradley
- PROTEO-Regroupement Québécois de Recherche sur la Fonction, l'Ingénierie et les Applications des Protéines, Québec, QC, Canada
- Centre de Recherche en Données Massives de l'Université Laval, Université Laval, Québec, QC, Canada
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, QC, Canada
- Département de Biochimie, de Microbiologie et de Bio-Informatique, Université Laval, Québec, QC, Canada
- Département de Biologie, Université Laval, Québec, QC, Canada
| | - Pascale Lemieux
- PROTEO-Regroupement Québécois de Recherche sur la Fonction, l'Ingénierie et les Applications des Protéines, Québec, QC, Canada
- Centre de Recherche en Données Massives de l'Université Laval, Université Laval, Québec, QC, Canada
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, QC, Canada
- Département de Biochimie, de Microbiologie et de Bio-Informatique, Université Laval, Québec, QC, Canada
| | - Ugo Dionne
- PROTEO-Regroupement Québécois de Recherche sur la Fonction, l'Ingénierie et les Applications des Protéines, Québec, QC, Canada
- Centre de Recherche en Données Massives de l'Université Laval, Université Laval, Québec, QC, Canada
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, QC, Canada
- Current affiliation: Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, ON, Canada
| | - Christian R Landry
- PROTEO-Regroupement Québécois de Recherche sur la Fonction, l'Ingénierie et les Applications des Protéines, Québec, QC, Canada
- Centre de Recherche en Données Massives de l'Université Laval, Université Laval, Québec, QC, Canada
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, QC, Canada
- Département de Biochimie, de Microbiologie et de Bio-Informatique, Université Laval, Québec, QC, Canada
- Département de Biologie, Université Laval, Québec, QC, Canada
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16
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Jiang L, Shen Y, Jiang Y, Mei W, Wei L, Feng J, Wei C, Liao X, Mo Y, Pan L, Wei M, Gu Y, Zheng J. Amino acid metabolism and MAP kinase signaling pathway play opposite roles in the regulation of ethanol production during fermentation of sugarcane molasses in budding yeast. Genomics 2024; 116:110811. [PMID: 38387766 DOI: 10.1016/j.ygeno.2024.110811] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 02/15/2024] [Accepted: 02/19/2024] [Indexed: 02/24/2024]
Abstract
Sugarcane molasses is one of the main raw materials for bioethanol production, and Saccharomyces cerevisiae is the major biofuel-producing organism. In this study, a batch fermentation model has been used to examine ethanol titers of deletion mutants for all yeast nonessential genes in this yeast genome. A total of 42 genes are identified to be involved in ethanol production during fermentation of sugarcane molasses. Deletion mutants of seventeen genes show increased ethanol titers, while deletion mutants for twenty-five genes exhibit reduced ethanol titers. Two MAP kinases Hog1 and Kss1 controlling the high osmolarity and glycerol (HOG) signaling and the filamentous growth, respectively, are negatively involved in the regulation of ethanol production. In addition, twelve genes involved in amino acid metabolism are crucial for ethanol production during fermentation. Our findings provide novel targets and strategies for genetically engineering industrial yeast strains to improve ethanol titer during fermentation of sugarcane molasses.
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Affiliation(s)
- Linghuo Jiang
- Laboratory of Yeast Biology and Fermentation Technology, National Engineering Research Center for Non-Food Biorefinery, State Key Laboratory of Non-Food Biomass and Enzyme Technology, Guangxi Biomass Engineering Technology Research Center, Institute of Biological Sciences and Technology, Guangxi Academy of Sciences, Nanning, Guangxi 530007, China.
| | - Yuzhi Shen
- Laboratory of Yeast Biology and Fermentation Technology, National Engineering Research Center for Non-Food Biorefinery, State Key Laboratory of Non-Food Biomass and Enzyme Technology, Guangxi Biomass Engineering Technology Research Center, Institute of Biological Sciences and Technology, Guangxi Academy of Sciences, Nanning, Guangxi 530007, China
| | - Yongqiang Jiang
- Institute of Biology, Guangxi Academy of Sciences, Nanning, Guangxi 530007, China
| | - Weiping Mei
- Institute of Eco-Environmental Research, Guangxi Academy of Sciences, Nanning, Guangxi 530007, China
| | - Liudan Wei
- Laboratory of Yeast Biology and Fermentation Technology, National Engineering Research Center for Non-Food Biorefinery, State Key Laboratory of Non-Food Biomass and Enzyme Technology, Guangxi Biomass Engineering Technology Research Center, Institute of Biological Sciences and Technology, Guangxi Academy of Sciences, Nanning, Guangxi 530007, China
| | - Jinrong Feng
- Pathogen Biology Department, Nantong University, Nantong, Jiangsu 226001, China
| | - Chunyu Wei
- Laboratory of Yeast Biology and Fermentation Technology, National Engineering Research Center for Non-Food Biorefinery, State Key Laboratory of Non-Food Biomass and Enzyme Technology, Guangxi Biomass Engineering Technology Research Center, Institute of Biological Sciences and Technology, Guangxi Academy of Sciences, Nanning, Guangxi 530007, China
| | - Xiufan Liao
- Laboratory of Yeast Biology and Fermentation Technology, National Engineering Research Center for Non-Food Biorefinery, State Key Laboratory of Non-Food Biomass and Enzyme Technology, Guangxi Biomass Engineering Technology Research Center, Institute of Biological Sciences and Technology, Guangxi Academy of Sciences, Nanning, Guangxi 530007, China
| | - Yiping Mo
- Laboratory of Yeast Biology and Fermentation Technology, National Engineering Research Center for Non-Food Biorefinery, State Key Laboratory of Non-Food Biomass and Enzyme Technology, Guangxi Biomass Engineering Technology Research Center, Institute of Biological Sciences and Technology, Guangxi Academy of Sciences, Nanning, Guangxi 530007, China
| | - Lingxin Pan
- Laboratory of Yeast Biology and Fermentation Technology, National Engineering Research Center for Non-Food Biorefinery, State Key Laboratory of Non-Food Biomass and Enzyme Technology, Guangxi Biomass Engineering Technology Research Center, Institute of Biological Sciences and Technology, Guangxi Academy of Sciences, Nanning, Guangxi 530007, China
| | - Min Wei
- Laboratory of Yeast Biology and Fermentation Technology, National Engineering Research Center for Non-Food Biorefinery, State Key Laboratory of Non-Food Biomass and Enzyme Technology, Guangxi Biomass Engineering Technology Research Center, Institute of Biological Sciences and Technology, Guangxi Academy of Sciences, Nanning, Guangxi 530007, China
| | - Yiying Gu
- Laboratory of Yeast Biology and Fermentation Technology, National Engineering Research Center for Non-Food Biorefinery, State Key Laboratory of Non-Food Biomass and Enzyme Technology, Guangxi Biomass Engineering Technology Research Center, Institute of Biological Sciences and Technology, Guangxi Academy of Sciences, Nanning, Guangxi 530007, China
| | - Jiashi Zheng
- Laboratory of Yeast Biology and Fermentation Technology, National Engineering Research Center for Non-Food Biorefinery, State Key Laboratory of Non-Food Biomass and Enzyme Technology, Guangxi Biomass Engineering Technology Research Center, Institute of Biological Sciences and Technology, Guangxi Academy of Sciences, Nanning, Guangxi 530007, China
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17
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Jiang L, Li Y, Gu Y, Zheng J, Wei L, Wei M, Zou J, Wei C, Mo B, Pan L, Zhao L, Wang D. Identification of the Beta Subunit Fas1p of Fatty Acid Synthetase as an Interacting Partner of Yeast Calcium/Calmodulin-Dependent Protein Kinase Cmk2p Through Mass Spectrometry Analysis. Appl Biochem Biotechnol 2024:10.1007/s12010-024-04891-w. [PMID: 38411936 DOI: 10.1007/s12010-024-04891-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/12/2024] [Indexed: 02/28/2024]
Abstract
The calcium/calmodulin-dependent protein kinase II (CaMKII) is a mediator of calcium signals and regulates fatty acid metabolism in mammalian cells. Cmk2p is a yeast homolog of CaMKII and functions as a negative regulator of calcium signaling. However, its substrates remain to be identified. Combination of immunoprecipitation (IP) and mass spectrometry has been proven to be very useful for identification of interacting partner proteins and interactome. In this study, through these approaches, we have identified 65 and 110 potential Cmk2p-interacting proteins in yeast cells in the absence or presence of calcium stress, respectively. In yeast cells expressing both CMK2-HA and FAS1-GFP fusion proteins, in the absence or presence of calcium stress, less amounts of FAS1-GFP proteins are present in cell lysates after IP with anti-HA antibody than cell lysates before IP, while FAS1-GFP proteins are detected on both types of IP beads. However, as an internal control, similar amounts of Pgk1p proteins were detected in both after-IP and before-IP cell lysates but not on the IP beads. Therefore, our biochemical analysis demonstrates that the β subunit Fas1p of fatty acid synthetase interacts with Cmk2p in yeast cells independent of calcium stress. It is also interesting to note that, in addition to the expected 52-kDa CMK2-HA band, a faster-moving 48-kDa CMK2-HA band is present in the calcium-stressed cell lysate but not in the cell lysate without calcium stress. Our data would provide important clues for understanding the functions of CaMKII in the regulation of fatty acid metabolism as well as related diseases such as cancers, diabetes, and obesity.
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Affiliation(s)
- Linghuo Jiang
- Laboratory of Yeast Biology and Fermentation Technology, National Engineering Research Center for Non-Food Biorefinery, National Key Laboratory of Non-Food Biomass Energy Technology, Guangxi Biomass Engineering Technology Research Center, Institute of Biological Sciences and Technology, Guangxi Academy of Sciences, Nanning, 530007, Guangxi, China.
| | - Yiwu Li
- College of Chemistry and Materials, Guangxi Key Laboratory of Natural Polymer Chemistry and Physics, Nanning Normal University, Nanning, 530001, China
| | - Yiying Gu
- Laboratory of Yeast Biology and Fermentation Technology, National Engineering Research Center for Non-Food Biorefinery, National Key Laboratory of Non-Food Biomass Energy Technology, Guangxi Biomass Engineering Technology Research Center, Institute of Biological Sciences and Technology, Guangxi Academy of Sciences, Nanning, 530007, Guangxi, China
| | - Jiashi Zheng
- College of Chemistry and Materials, Guangxi Key Laboratory of Natural Polymer Chemistry and Physics, Nanning Normal University, Nanning, 530001, China
| | - Liudan Wei
- Laboratory of Yeast Biology and Fermentation Technology, National Engineering Research Center for Non-Food Biorefinery, National Key Laboratory of Non-Food Biomass Energy Technology, Guangxi Biomass Engineering Technology Research Center, Institute of Biological Sciences and Technology, Guangxi Academy of Sciences, Nanning, 530007, Guangxi, China
| | - Min Wei
- College of Chemistry and Materials, Guangxi Key Laboratory of Natural Polymer Chemistry and Physics, Nanning Normal University, Nanning, 530001, China
| | - Jie Zou
- College of Chemistry and Materials, Guangxi Key Laboratory of Natural Polymer Chemistry and Physics, Nanning Normal University, Nanning, 530001, China
| | - Chunyu Wei
- College of Chemistry and Materials, Guangxi Key Laboratory of Natural Polymer Chemistry and Physics, Nanning Normal University, Nanning, 530001, China
| | - Bei Mo
- College of Chemistry and Materials, Guangxi Key Laboratory of Natural Polymer Chemistry and Physics, Nanning Normal University, Nanning, 530001, China
| | - Lingxin Pan
- College of Chemistry and Materials, Guangxi Key Laboratory of Natural Polymer Chemistry and Physics, Nanning Normal University, Nanning, 530001, China
| | - Lijiao Zhao
- College of Chemistry and Materials, Guangxi Key Laboratory of Natural Polymer Chemistry and Physics, Nanning Normal University, Nanning, 530001, China
| | - Dan Wang
- College of Chemistry and Materials, Guangxi Key Laboratory of Natural Polymer Chemistry and Physics, Nanning Normal University, Nanning, 530001, China
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18
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Gaikani HK, Stolar M, Kriti D, Nislow C, Giaever G. From beer to breadboards: yeast as a force for biological innovation. Genome Biol 2024; 25:10. [PMID: 38178179 PMCID: PMC10768129 DOI: 10.1186/s13059-023-03156-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 12/21/2023] [Indexed: 01/06/2024] Open
Abstract
The history of yeast Saccharomyces cerevisiae, aka brewer's or baker's yeast, is intertwined with our own. Initially domesticated 8,000 years ago to provide sustenance to our ancestors, for the past 150 years, yeast has served as a model research subject and a platform for technology. In this review, we highlight many ways in which yeast has served to catalyze the fields of functional genomics, genome editing, gene-environment interaction investigation, proteomics, and bioinformatics-emphasizing how yeast has served as a catalyst for innovation. Several possible futures for this model organism in synthetic biology, drug personalization, and multi-omics research are also presented.
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Affiliation(s)
- Hamid Kian Gaikani
- Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, BC, Canada
- Department of Chemistry, University of British Columbia, Vancouver, BC, Canada
| | - Monika Stolar
- Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, BC, Canada
| | - Divya Kriti
- Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, BC, Canada
| | - Corey Nislow
- Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, BC, Canada.
| | - Guri Giaever
- Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, BC, Canada
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19
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Ólafsson G, Haase MAB, Boeke JD. Humanization reveals pervasive incompatibility of yeast and human kinetochore components. G3 (BETHESDA, MD.) 2023; 14:jkad260. [PMID: 37962556 PMCID: PMC10755175 DOI: 10.1093/g3journal/jkad260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 06/29/2023] [Accepted: 11/06/2023] [Indexed: 11/15/2023]
Abstract
Kinetochores assemble on centromeres to drive chromosome segregation in eukaryotic cells. Humans and budding yeast share most of the structural subunits of the kinetochore, whereas protein sequences have diverged considerably. The conserved centromeric histone H3 variant, CenH3 (CENP-A in humans and Cse4 in budding yeast), marks the site for kinetochore assembly in most species. A previous effort to complement Cse4 in yeast with human CENP-A was unsuccessful; however, co-complementation with the human core nucleosome was not attempted. Previously, our lab successfully humanized the core nucleosome in yeast; however, this severely affected cellular growth. We hypothesized that yeast Cse4 is incompatible with humanized nucleosomes and that the kinetochore represented a limiting factor for efficient histone humanization. Thus, we argued that including the human CENP-A or a Cse4-CENP-A chimera might improve histone humanization and facilitate kinetochore function in humanized yeast. The opposite was true: CENP-A expression reduced histone humanization efficiency, was toxic to yeast, and disrupted cell cycle progression and kinetochore function in wild-type (WT) cells. Suppressors of CENP-A toxicity included gene deletions of subunits of 3 conserved chromatin remodeling complexes, highlighting their role in CenH3 chromatin positioning. Finally, we attempted to complement the subunits of the NDC80 kinetochore complex, individually and in combination, without success, in contrast to a previous study indicating complementation by the human NDC80/HEC1 gene. Our results suggest that limited protein sequence similarity between yeast and human components in this very complex structure leads to failure of complementation.
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Affiliation(s)
- Guðjón Ólafsson
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY 10016, USA
| | - Max A B Haase
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY 10016, USA
- Vilcek Institute of Graduate Biomedical Sciences, NYU School of Medicine, New York, NY 10016, USA
| | - Jef D Boeke
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY 10016, USA
- Department of Biomedical Engineering, NYU Tandon School of Engineering, Brooklyn, NY 14 11201, USA
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20
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Dolan M, St. John N, Zaidi F, Doyle F, Fasullo M. High-throughput screening of the Saccharomyces cerevisiae genome for 2-amino-3-methylimidazo [4,5-f] quinoline resistance identifies colon cancer-associated genes. G3 (BETHESDA, MD.) 2023; 13:jkad219. [PMID: 37738679 PMCID: PMC11025384 DOI: 10.1093/g3journal/jkad219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 10/25/2022] [Accepted: 09/15/2023] [Indexed: 09/24/2023]
Abstract
Heterocyclic aromatic amines (HAAs) are potent carcinogenic agents found in charred meats and cigarette smoke. However, few eukaryotic resistance genes have been identified. We used Saccharomyces cerevisiae (budding yeast) to identify genes that confer resistance to 2-amino-3-methylimidazo[4,5-f] quinoline (IQ). CYP1A2 and NAT2 activate IQ to become a mutagenic nitrenium compound. Deletion libraries expressing human CYP1A2 and NAT2 or no human genes were exposed to either 400 or 800 µM IQ for 5 or 10 generations. DNA barcodes were sequenced using the Illumina HiSeq 2500 platform and statistical significance was determined for exactly matched barcodes. We identified 424 ORFs, including 337 genes of known function, in duplicate screens of the "humanized" collection for IQ resistance; resistance was further validated for a select group of 51 genes by growth curves, competitive growth, or trypan blue assays. Screens of the library not expressing human genes identified 143 ORFs conferring resistance to IQ per se. Ribosomal protein and protein modification genes were identified as IQ resistance genes in both the original and "humanized" libraries, while nitrogen metabolism, DNA repair, and growth control genes were also prominent in the "humanized" library. Protein complexes identified included the casein kinase 2 (CK2) and histone chaperone (HIR) complex. Among DNA Repair and checkpoint genes, we identified those that function in postreplication repair (RAD18, UBC13, REV7), base excision repair (NTG1), and checkpoint signaling (CHK1, PSY2). These studies underscore the role of ribosomal protein genes in conferring IQ resistance, and illuminate DNA repair pathways for conferring resistance to activated IQ.
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Affiliation(s)
- Michael Dolan
- College of Nanotechnology, Science, and Engineering, State University of NewYork at Albany, Albany, NY 12203, USA
| | - Nick St. John
- College of Nanotechnology, Science, and Engineering, State University of NewYork at Albany, Albany, NY 12203, USA
| | - Faizan Zaidi
- College of Nanotechnology, Science, and Engineering, State University of NewYork at Albany, Albany, NY 12203, USA
| | - Francis Doyle
- College of Nanotechnology, Science, and Engineering, State University of NewYork at Albany, Albany, NY 12203, USA
| | - Michael Fasullo
- College of Nanotechnology, Science, and Engineering, State University of NewYork at Albany, Albany, NY 12203, USA
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21
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Dunbar KL, Perlatti B, Liu N, Cornelius A, Mummau D, Chiang YM, Hon L, Nimavat M, Pallas J, Kordes S, Ng HL, Harvey CJB. Resistance gene-guided genome mining reveals the roseopurpurins as inhibitors of cyclin-dependent kinases. Proc Natl Acad Sci U S A 2023; 120:e2310522120. [PMID: 37983497 PMCID: PMC10691236 DOI: 10.1073/pnas.2310522120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Accepted: 09/09/2023] [Indexed: 11/22/2023] Open
Abstract
With the significant increase in the availability of microbial genome sequences in recent years, resistance gene-guided genome mining has emerged as a powerful approach for identifying natural products with specific bioactivities. Here, we present the use of this approach to reveal the roseopurpurins as potent inhibitors of cyclin-dependent kinases (CDKs), a class of cell cycle regulators implicated in multiple cancers. We identified a biosynthetic gene cluster (BGC) with a putative resistance gene with homology to human CDK2. Using targeted gene disruption and transcription factor overexpression in Aspergillus uvarum, and heterologous expression of the BGC in Aspergillus nidulans, we demonstrated that roseopurpurin C (1) is produced by this cluster and characterized its biosynthesis. We determined the potency, specificity, and mechanism of action of 1 as well as multiple intermediates and shunt products produced from the BGC. We show that 1 inhibits human CDK2 with a Kiapp of 44 nM, demonstrates selectivity for clinically relevant members of the CDK family, and induces G1 cell cycle arrest in HCT116 cells. Structural analysis of 1 complexed with CDK2 revealed the molecular basis of ATP-competitive inhibition.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | - Sina Kordes
- Proteros Biostructures GmbH, PlaneggD-82152, Germany
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22
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Nakano K, Okamoto M, Takahashi-Nakaguchi A, Sasamoto K, Yamaguchi M, Chibana H. Evaluation of Antifungal Selective Toxicity Using Candida glabrata ERG25 and Human SC4MOL Knock-In Strains. J Fungi (Basel) 2023; 9:1035. [PMID: 37888291 PMCID: PMC10607794 DOI: 10.3390/jof9101035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 10/17/2023] [Accepted: 10/18/2023] [Indexed: 10/28/2023] Open
Abstract
With only four classes of antifungal drugs available for the treatment of invasive systemic fungal infections, the number of resistant fungi is increasing, highlighting the urgent need for novel antifungal drugs. Ergosterol, an essential component of cell membranes, and its synthetic pathway have been targeted for antifungal drug development. Sterol-C4-methyl monooxygenase (Erg25p), which is a greater essential target than that of existing drugs, represents a promising drug target. However, the development of antifungal drugs must consider potential side effects, emphasizing the importance of evaluating their selective toxicity against fungi. In this study, we knocked in ERG25 of Candida glabrata and its human ortholog, SC4MOL, in ERG25-deleted Saccharomyces cerevisiae. Utilizing these strains, we evaluated 1181-0519, an Erg25p inhibitor, that exhibited selective toxicity against the C. glabrata ERG25 knock-in strain. Furthermore, 1181-0519 demonstrated broad-spectrum antifungal activity against pathogenic Candida species, including Candida auris. The approach of utilizing a gene that is functionally conserved between yeast and humans and subsequently screening for molecular target drugs enables the identification of selective inhibitors for both species.
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Affiliation(s)
- Keiko Nakano
- Medical Mycology Research Center, Chiba University, Chiba 260-8673, Japan
| | - Michiyo Okamoto
- Medical Mycology Research Center, Chiba University, Chiba 260-8673, Japan
| | | | - Kaname Sasamoto
- Medical Mycology Research Center, Chiba University, Chiba 260-8673, Japan
| | - Masashi Yamaguchi
- Medical Mycology Research Center, Chiba University, Chiba 260-8673, Japan
| | - Hiroji Chibana
- Medical Mycology Research Center, Chiba University, Chiba 260-8673, Japan
- School of Medicine, Niigata University, Niigata 951-8510, Japan
- Faculty of Medicine, University of the Ryukyus, Okinawa 903-0125, Japan
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23
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Lam UTF, Nguyen TTT, Raechell R, Yang J, Singer H, Chen ES. A Normalization Protocol Reduces Edge Effect in High-Throughput Analyses of Hydroxyurea Hypersensitivity in Fission Yeast. Biomedicines 2023; 11:2829. [PMID: 37893202 PMCID: PMC10604075 DOI: 10.3390/biomedicines11102829] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 10/05/2023] [Accepted: 10/11/2023] [Indexed: 10/29/2023] Open
Abstract
Edge effect denotes better growth of microbial organisms situated at the edge of the solid agar media. Although the precise reason underlying edge effect is unresolved, it is generally attributed to greater nutrient availability with less competing neighbors at the edge. Nonetheless, edge effect constitutes an unavoidable confounding factor that results in misinterpretation of cell fitness, especially in high-throughput screening experiments widely employed for genome-wide investigation using microbial gene knockout or mutant libraries. Here, we visualize edge effect in high-throughput high-density pinning arrays and report a normalization approach based on colony growth rate to quantify drug (hydroxyurea)-hypersensitivity in fission yeast strains. This normalization procedure improved the accuracy of fitness measurement by compensating cell growth rate discrepancy at different locations on the plate and reducing false-positive and -negative frequencies. Our work thus provides a simple and coding-free solution for a struggling problem in robotics-based high-throughput screening experiments.
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Affiliation(s)
- Ulysses Tsz-Fung Lam
- Department of Biochemistry, National University of Singapore, Singapore 117596, Singapore; (U.T.-F.L.); (T.T.T.N.); (R.R.)
| | - Thi Thuy Trang Nguyen
- Department of Biochemistry, National University of Singapore, Singapore 117596, Singapore; (U.T.-F.L.); (T.T.T.N.); (R.R.)
| | - Raechell Raechell
- Department of Biochemistry, National University of Singapore, Singapore 117596, Singapore; (U.T.-F.L.); (T.T.T.N.); (R.R.)
| | - Jay Yang
- Singer Instruments, Roadwater, Watchet TA23 0RE, UK; (J.Y.); (H.S.)
| | - Harry Singer
- Singer Instruments, Roadwater, Watchet TA23 0RE, UK; (J.Y.); (H.S.)
| | - Ee Sin Chen
- Department of Biochemistry, National University of Singapore, Singapore 117596, Singapore; (U.T.-F.L.); (T.T.T.N.); (R.R.)
- NUS Center for Cancer Research, National University of Singapore, Singapore 117599, Singapore
- NUS Synthetic Biology for Clinical & Technological Innovation (SynCTI), Life Science Institute, National University of Singapore, Singapore 117456, Singapore
- National University Health System (NUHS), Singapore 119228, Singapore
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24
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Yuzon JD, Schultzhaus Z, Wang Z. Transcriptomic and genomic effects of gamma-radiation exposure on strains of the black yeast Exophiala dermatitidis evolved to display increased ionizing radiation resistance. Microbiol Spectr 2023; 11:e0221923. [PMID: 37676019 PMCID: PMC10581076 DOI: 10.1128/spectrum.02219-23] [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: 05/25/2023] [Accepted: 07/15/2023] [Indexed: 09/08/2023] Open
Abstract
IMPORTANCE Ionizing radiation poses a significant threat to living organisms and human health, given its destructive nature and widespread use in fields such as medicine and the potential for nuclear disasters. Melanized fungi exhibit remarkable survival capabilities, enduring doses up to 1,000-fold higher than mammals. Through adaptive laboratory evolution, we validated the protective role of constitutive upregulation of DNA repair genes in the black yeast Exophiala dermatitidis, enhancing survival after radiation exposure. Surprisingly, we found that evolved strains lacking melanin still achieved high levels of radioresistance. Our study unveiled the significance of robust activation and enhancement of redox homeostasis, as evidenced by the profound transcriptional changes and increased accumulation of mutations, in substantially improving ionizing radiation resistance in the absence of melanin. These findings underscore the delicate balance between DNA repair and redox homeostasis for an organism's ability to endure and recover from radiation exposure.
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Affiliation(s)
- Jennifer D. Yuzon
- National Research Council Postdoctoral Research Associate, US Naval Research Laboratory, Washington, USA
| | - Zachary Schultzhaus
- Center for Bio/Molecular Science and Engineering, US Naval Research Laboratory, Washington, USA
| | - Zheng Wang
- Center for Bio/Molecular Science and Engineering, US Naval Research Laboratory, Washington, USA
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25
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Guan M, Cao Y, Wang X, Xu X, Ning C, Qian J, Ma F, Zhang X. Characterizing temporal variability and repeatability of dose-dependent functional genomics approach for evaluating triclosan toxification. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 895:165209. [PMID: 37391155 DOI: 10.1016/j.scitotenv.2023.165209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Revised: 06/21/2023] [Accepted: 06/27/2023] [Indexed: 07/02/2023]
Abstract
Dose-dependent functional genomics approach has shown great advantage in identifying the molecular initiating event (MIE) of chemical toxification and yielding point of departure (POD) at genome-wide scale. However, POD variability and repeatability derived from experimental design (settings of dose, replicate number, and exposure time) has not been fully determined. In this work, we evaluated POD profiles perturbed by triclosan (TCS) using dose-dependent functional genomics approach in Saccharomyces cerevisiae at multiple time points (9 h, 24 h and 48 h). The full dataset (total 9 concentrations with 6 replicates per treatment) at 9 h was subsampled 484 times to generate subsets of 4 dose groups (Dose A - Dose D with varied concentration range and spacing) and 5 replicate numbers (2 reps - 6 reps). Firstly, given the accuracy of POD and the experimental cost, the POD profiles from 484 subsampled datasets demonstrated that the Dose C group (space narrow at high concentrations and wide dose range) with three replicates was best choice at both gene and pathway levels. Secondly, the variability of POD was found to be relatively robustness and stability across different experimental designs, but POD was more dependent on the dose range and interval than the number of replicates. Thirdly, MIE of TCS toxification was identified to be the glycerophospholipid metabolism pathway at all-time points, supporting the ability of our approach to accurately recognize MIE of chemical toxification at both short- and long-term exposure. Finally, we identified and validated 13 key mutant strains involved in MIE of TCS toxification, which could serve as biomarkers for TCS exposure. Taken together, our work evaluated the repeatability of dose-dependent functional genomics approach and the variability of POD and MIE of TCS toxification, which will benefit the experimental design for future dose-dependent functional genomics study.
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Affiliation(s)
- Miao Guan
- Jiangsu Key Laboratory for Biodiversity and Biotechnology, College of Life Sciences, Nanjing Normal University, 1 Wenyuan Rd., Nanjing, Jiangsu 210023, China
| | - Yuqi Cao
- Jiangsu Key Laboratory for Biodiversity and Biotechnology, College of Life Sciences, Nanjing Normal University, 1 Wenyuan Rd., Nanjing, Jiangsu 210023, China
| | - Xiaoyang Wang
- Jiangsu Key Laboratory for Biodiversity and Biotechnology, College of Life Sciences, Nanjing Normal University, 1 Wenyuan Rd., Nanjing, Jiangsu 210023, China
| | - Xinyuan Xu
- Jiangsu Key Laboratory for Biodiversity and Biotechnology, College of Life Sciences, Nanjing Normal University, 1 Wenyuan Rd., Nanjing, Jiangsu 210023, China
| | - Can Ning
- Jiangsu Key Laboratory for Biodiversity and Biotechnology, College of Life Sciences, Nanjing Normal University, 1 Wenyuan Rd., Nanjing, Jiangsu 210023, China
| | - Jinjun Qian
- School of Medicine & Holistic Integrative Medicine, Nanjing University of Chinese Medicine, 138 Xianlin Ave., Nanjing, Jiangsu 210023, China.
| | - Fei Ma
- Jiangsu Key Laboratory for Biodiversity and Biotechnology, College of Life Sciences, Nanjing Normal University, 1 Wenyuan Rd., Nanjing, Jiangsu 210023, China.
| | - Xiaowei Zhang
- State Key Laboratory of Pollution Control & Resource Reuse, School of the Environment, Nanjing University, 163 Xianlin Ave., Nanjing, Jiangsu 210023, China
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26
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Rossio V, Liu X, Paulo JA. Comparative Proteomic Analysis of Two Commonly Used Laboratory Yeast Strains: W303 and BY4742. Proteomes 2023; 11:30. [PMID: 37873872 PMCID: PMC10594481 DOI: 10.3390/proteomes11040030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2023] [Revised: 09/26/2023] [Accepted: 09/27/2023] [Indexed: 10/25/2023] Open
Abstract
The yeast Saccharomyces cerevisiae is a powerful model system that is often used to expand our understanding of cellular processes and biological functions. Although many genetically well-characterized laboratory strains of S. cerevisiae are available, they may have different genetic backgrounds which can confound data interpretation. Here, we report a comparative whole-proteome analysis of two common laboratory yeast background strains, W303 and BY4742, in both exponential and stationary growth phases using isobaric-tag-based mass spectrometry to highlight differences in proteome complexity. We quantified over 4400 proteins, hundreds of which showed differences in abundance between strains and/or growth phases. Moreover, we used proteome-wide protein abundance to profile the mating type of the strains used in the experiment, the auxotrophic markers, and associated metabolic pathways, as well as to investigate differences in particular classes of proteins, such as the pleiotropic drug resistance (PDR) proteins. This study is a valuable resource that offers insight into mechanistic differences between two common yeast background strains and can be used as a guide to select a background that is best suited for addressing a particular biological question.
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Affiliation(s)
- Valentina Rossio
- Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA;
| | | | - Joao A. Paulo
- Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA;
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27
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Kaushal V, Klim J, Skoneczna A, Kurlandzka A, Enkhbaatar T, Kaczanowski S, Zielenkiewicz U. Apoptotic Factors Are Evolutionarily Conserved Since Mitochondrial Domestication. Genome Biol Evol 2023; 15:evad154. [PMID: 37616576 PMCID: PMC10565124 DOI: 10.1093/gbe/evad154] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 07/18/2023] [Accepted: 08/09/2023] [Indexed: 08/26/2023] Open
Abstract
The mechanisms initiating apoptotic programmed cell death in diverse eukaryotes are very similar. Basically, the mitochondrial permeability transition activates apoptotic proteases, DNases, and flavoproteins such as apoptosis-inducing factors (AIFs). According to the hypothesis of the endosymbiotic origin of apoptosis, these mechanisms evolved during mitochondrial domestication. Various phylogenetic analyses, including ours, have suggested that apoptotic factors were eubacterial protomitochondrial toxins used for killing protoeukaryotic hosts. Here, we tested whether the function of yeast Saccharomyces cerevisiae apoptotic proteases (metacaspases Mca1 and Nma111), DNase Nuc1, and flavoprotein Ndi1 can be substituted with orthologs from remotely related eukaryotes such as plants, protists, and eubacteria. We found that orthologs of remotely related eukaryotic and even eubacterial proteins can initiate apoptosis in yeast when triggered by chemical stresses. This observation suggests that apoptotic mechanisms have been maintained since mitochondrial domestication, which occurred approximately 1,800 Mya. Additionally, it supports the hypothesis that some of these apoptotic factors could be modified eubacterial toxins.
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Affiliation(s)
- Vandana Kaushal
- Institute of Biochemistry and Biophysics PAS, Pawinskiego 5a, 02-106 Warszawa, Poland
| | - Joanna Klim
- Institute of Biochemistry and Biophysics PAS, Pawinskiego 5a, 02-106 Warszawa, Poland
| | - Adrianna Skoneczna
- Institute of Biochemistry and Biophysics PAS, Pawinskiego 5a, 02-106 Warszawa, Poland
| | - Anna Kurlandzka
- Institute of Biochemistry and Biophysics PAS, Pawinskiego 5a, 02-106 Warszawa, Poland
| | - Tuguldur Enkhbaatar
- Institute of Biochemistry and Biophysics PAS, Pawinskiego 5a, 02-106 Warszawa, Poland
| | - Szymon Kaczanowski
- Institute of Biochemistry and Biophysics PAS, Pawinskiego 5a, 02-106 Warszawa, Poland
| | - Urszula Zielenkiewicz
- Institute of Biochemistry and Biophysics PAS, Pawinskiego 5a, 02-106 Warszawa, Poland
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Cardenal Peralta C, Vandroux P, Neumann-Arnold L, Panvert M, Fagart J, Seufert W, Mechulam Y, Schmitt E. Binding of human Cdc123 to eIF2γ. J Struct Biol 2023; 215:108006. [PMID: 37507029 DOI: 10.1016/j.jsb.2023.108006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 07/18/2023] [Accepted: 07/25/2023] [Indexed: 07/30/2023]
Abstract
Eukaryotic initiation factor 2 (eIF2) plays a key role in protein synthesis and in its regulation. The assembly of this heterotrimeric factor is facilitated by Cdc123, a member of the ATP grasp family that binds the γ subunit of eIF2. Notably, some mutations related to MEHMO syndrome, an X-linked intellectual disability, affect Cdc123-mediated eIF2 assembly. The mechanism of action of Cdc123 is unclear and structural information for the human protein is awaited. Here, the crystallographic structure of human Cdc123 (Hs-Cdc123) bound to domain 3 of human eIF2γ (Hs-eIF2γD3) was determined. The structure shows that the domain 3 of eIF2γ is bound to domain 1 of Cdc123. In addition, the long C-terminal region of Hs-Cdc123 provides a link between the ATP and Hs-eIF2γD3 binding sites. A thermal shift assay shows that ATP is tightly bound to Cdc123 whereas the affinity of ADP is much smaller. Yeast cell viability experiments, western blot analysis and two-hybrid assays show that ATP is important for the function of Hs-Cdc123 in eIF2 assembly. These data and recent findings allow us to propose a refined model to explain the mechanism of action of Cdc123 in eIF2 assembly.
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Affiliation(s)
- Cristina Cardenal Peralta
- Laboratoire de Biologie Structurale de la Cellule, BIOC, Ecole polytechnique, CNRS, Institut Polytechnique de Paris, 91128 Palaiseau cedex, France
| | - Paul Vandroux
- Laboratoire de Biologie Structurale de la Cellule, BIOC, Ecole polytechnique, CNRS, Institut Polytechnique de Paris, 91128 Palaiseau cedex, France
| | - Lea Neumann-Arnold
- Department of Genetics, Regensburg Center for Biochemistry, University of Regensburg, Regensburg, Germany
| | - Michel Panvert
- Laboratoire de Biologie Structurale de la Cellule, BIOC, Ecole polytechnique, CNRS, Institut Polytechnique de Paris, 91128 Palaiseau cedex, France
| | - Jérôme Fagart
- Laboratoire de Biologie Structurale de la Cellule, BIOC, Ecole polytechnique, CNRS, Institut Polytechnique de Paris, 91128 Palaiseau cedex, France
| | - Wolfgang Seufert
- Department of Genetics, Regensburg Center for Biochemistry, University of Regensburg, Regensburg, Germany.
| | - Yves Mechulam
- Laboratoire de Biologie Structurale de la Cellule, BIOC, Ecole polytechnique, CNRS, Institut Polytechnique de Paris, 91128 Palaiseau cedex, France
| | - Emmanuelle Schmitt
- Laboratoire de Biologie Structurale de la Cellule, BIOC, Ecole polytechnique, CNRS, Institut Polytechnique de Paris, 91128 Palaiseau cedex, France.
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Sultana S, Abdullah M, Li J, Hochstrasser M, Kachroo AH. Species-specific protein-protein interactions govern the humanization of the 20S proteasome in yeast. Genetics 2023; 225:iyad117. [PMID: 37364278 PMCID: PMC10471208 DOI: 10.1093/genetics/iyad117] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 06/12/2023] [Accepted: 06/15/2023] [Indexed: 06/28/2023] Open
Abstract
Yeast and humans share thousands of genes despite a billion years of evolutionary divergence. While many human genes can functionally replace their yeast counterparts, nearly half of the tested shared genes cannot. For example, most yeast proteasome subunits are "humanizable," except subunits comprising the β-ring core, including β2c (HsPSMB7, a constitutive proteasome subunit). We developed a high-throughput pipeline to humanize yeast proteasomes by generating a large library of Hsβ2c mutants and screening them for complementation of a yeast β2 (ScPup1) knockout. Variants capable of replacing ScPup1 included (1) those impacting local protein-protein interactions (PPIs), with most affecting interactions between the β2c C-terminal tail and the adjacent β3 subunit, and (2) those affecting β2c proteolytic activity. Exchanging the full-length tail of human β2c with that of ScPup1 enabled complementation. Moreover, wild-type human β2c could replace yeast β2 if human β3 was also provided. Unexpectedly, yeast proteasomes bearing a catalytically inactive HsPSMB7-T44A variant that blocked precursor autoprocessing were viable, suggesting an intact propeptide stabilizes late assembly intermediates. In contrast, similar modifications in human β2i (HsPSMB10), an immunoproteasome subunit and the co-ortholog of yeast β2, do not enable complementation in yeast, suggesting distinct interactions are involved in human immunoproteasome core assembly. Broadly, our data reveal roles for specific PPIs governing functional replaceability across vast evolutionary distances.
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Affiliation(s)
- Sarmin Sultana
- Centre for Applied Synthetic Biology, Department of Biology, Concordia University, 7141 Sherbrooke St. W, Montreal, QC H3G 1M8, Canada
| | - Mudabir Abdullah
- Centre for Applied Synthetic Biology, Department of Biology, Concordia University, 7141 Sherbrooke St. W, Montreal, QC H3G 1M8, Canada
| | - Jianhui Li
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA
| | - Mark Hochstrasser
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA
| | - Aashiq H Kachroo
- Centre for Applied Synthetic Biology, Department of Biology, Concordia University, 7141 Sherbrooke St. W, Montreal, QC H3G 1M8, Canada
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30
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Bandla AC, Sheth AS, Zarate SM, Uskamalla S, Hager EC, Villarreal VA, González-García M, Ballestero RP. Enhancing structural plasticity of PC12 neurons during differentiation and neurite regeneration with a catalytically inactive mutant version of the zRICH protein. BMC Neurosci 2023; 24:43. [PMID: 37612637 PMCID: PMC10463786 DOI: 10.1186/s12868-023-00808-1] [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: 08/12/2022] [Accepted: 06/23/2023] [Indexed: 08/25/2023] Open
Abstract
BACKGROUND Studies of the molecular mechanisms of nerve regeneration have led to the discovery of several proteins that are induced during successful nerve regeneration. RICH proteins were identified as proteins induced during the regeneration of the optic nerve of teleost fish. These proteins are 2',3'-cyclic nucleotide, 3'-phosphodiesterases that can bind to cellular membranes through a carboxy-terminal membrane localization domain. They interact with the tubulin cytoskeleton and are able to enhance neuronal structural plasticity by promoting the formation of neurite branches. RESULTS PC12 stable transfectant cells expressing a fusion protein combining a red fluorescent protein with a catalytically inactive mutant version of zebrafish RICH protein were generated. These cells were used as a model to analyze effects of the protein on neuritogenesis. Differentiation experiments showed a 2.9 fold increase in formation of secondary neurites and a 2.4 fold increase in branching points. A 2.2 fold increase in formation of secondary neurites was observed in neurite regeneration assays. CONCLUSIONS The use of a fluorescent fusion protein facilitated detection of expression levels. Two computer-assisted morphometric analysis methods indicated that the catalytically inactive RICH protein induced the formation of branching points and secondary neurites both during differentiation and neurite regeneration. A procedure based on analysis of random field images provided comparable results to classic neurite tracing methods.
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Affiliation(s)
- Ashoka C Bandla
- Department of Biological and Health Sciences, Texas A&M University-Kingsville, 700 University Blvd, Kingsville, TX, 78363, USA
| | - Aditya S Sheth
- Department of Biological and Health Sciences, Texas A&M University-Kingsville, 700 University Blvd, Kingsville, TX, 78363, USA
| | - Sara M Zarate
- Department of Biological and Health Sciences, Texas A&M University-Kingsville, 700 University Blvd, Kingsville, TX, 78363, USA
| | - Suraj Uskamalla
- Department of Biological and Health Sciences, Texas A&M University-Kingsville, 700 University Blvd, Kingsville, TX, 78363, USA
| | - Elizabeth C Hager
- Department of Biological and Health Sciences, Texas A&M University-Kingsville, 700 University Blvd, Kingsville, TX, 78363, USA
| | - Victor A Villarreal
- Department of Chemistry, Texas A&M University-Kingsville, Kingsville, TX, 78363, USA
| | | | - Rafael P Ballestero
- Department of Biological and Health Sciences, Texas A&M University-Kingsville, 700 University Blvd, Kingsville, TX, 78363, USA.
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31
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Kumar R, Srivastava V. Application of anti-fungal vaccines as a tool against emerging anti-fungal resistance. FRONTIERS IN FUNGAL BIOLOGY 2023; 4:1241539. [PMID: 37746132 PMCID: PMC10512234 DOI: 10.3389/ffunb.2023.1241539] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Accepted: 07/31/2023] [Indexed: 09/26/2023]
Abstract
After viruses and bacteria, fungal infections remain a serious threat to the survival and well-being of society. The continuous emergence of resistance against commonly used anti-fungal drugs is a serious concern. The eukaryotic nature of fungal cells makes the identification of novel anti-fungal agents slow and difficult. Increasing global temperature and a humid environment conducive to fungal growth may lead to a fungal endemic or a pandemic. The continuous increase in the population of immunocompromised individuals and falling immunity forced pharmaceutical companies to look for alternative strategies for better managing the global fungal burden. Prevention of infectious diseases by vaccines can be the right choice. Recent success and safe application of mRNA-based vaccines can play a crucial role in our quest to overcome anti-fungal resistance. Expressing fungal cell surface proteins in human subjects using mRNA technology may be sufficient to raise immune response to protect against future fungal infection. The success of mRNA-based anti-fungal vaccines will heavily depend on the identification of fungal surface proteins which are highly immunogenic and have no or least side effects in human subjects. The present review discusses why it is essential to look for anti-fungal vaccines and how vaccines, in general, and mRNA-based vaccines, in particular, can be the right choice in tackling the problem of rising anti-fungal resistance.
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Affiliation(s)
- Ravinder Kumar
- Department of Pathology, Collage of Medicine, University of Tennessee Health Science Center, Memphis, TN, United States
| | - Vartika Srivastava
- Department of Clinical Microbiology and Infectious Diseases, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, Gauteng, South Africa
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32
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Nguyen TN, Ingle C, Thompson S, Reynolds KA. The Genetic Landscape of a Metabolic Interaction. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.05.28.542639. [PMID: 37645784 PMCID: PMC10461916 DOI: 10.1101/2023.05.28.542639] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
Abstract
Enzyme abundance, catalytic activity, and ultimately sequence are all shaped by the need of growing cells to maintain metabolic flux while minimizing accumulation of deleterious intermediates. While much prior work has explored the constraints on protein sequence and evolution induced by physical protein-protein interactions, the sequence-level constraints emerging from non-binding functional interactions in metabolism remain unclear. To quantify how variation in the activity of one enzyme constrains the biochemical parameters and sequence of another, we focused on dihydrofolate reductase (DHFR) and thymidylate synthase (TYMS), a pair of enzymes catalyzing consecutive reactions in folate metabolism. We used deep mutational scanning to quantify the growth rate effect of 2,696 DHFR single mutations in 3 TYMS backgrounds under conditions selected to emphasize biochemical epistasis. Our data are well-described by a relatively simple enzyme velocity to growth rate model that quantifies how metabolic context tunes enzyme mutational tolerance. Together our results reveal the structural distribution of epistasis in a metabolic enzyme and establish a foundation for the design of multi-enzyme systems.
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Affiliation(s)
- Thuy N. Nguyen
- The Green Center for Systems Biology, University of Texas Southwestern Medical Center, Dallas, USA, 75390
- Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, USA, 75390
- Department of Biophysics, University of Texas Southwestern Medical Center, Dallas, USA, 75390
| | - Christine Ingle
- The Green Center for Systems Biology, University of Texas Southwestern Medical Center, Dallas, USA, 75390
- Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, USA, 75390
- Department of Biophysics, University of Texas Southwestern Medical Center, Dallas, USA, 75390
| | - Samuel Thompson
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA 94158
| | - Kimberly A. Reynolds
- The Green Center for Systems Biology, University of Texas Southwestern Medical Center, Dallas, USA, 75390
- Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, USA, 75390
- Department of Biophysics, University of Texas Southwestern Medical Center, Dallas, USA, 75390
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33
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Stump AL, Rioux DJ, Albright R, Melki GL, Prosser DC. Yeast Models of Amyotrophic Lateral Sclerosis Type 8 Mimic Phenotypes Seen in Mammalian Cells Expressing Mutant VAPB P56S. Biomolecules 2023; 13:1147. [PMID: 37509182 PMCID: PMC10377116 DOI: 10.3390/biom13071147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2023] [Revised: 07/09/2023] [Accepted: 07/17/2023] [Indexed: 07/30/2023] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a complex neurodegenerative disease that results in the loss of motor neurons and can occur sporadically or due to genetic mutations. Among the 30 genes linked to familial ALS, a P56S mutation in VAPB, an ER-resident protein that functions at membrane contact sites, causes ALS type 8. Mammalian cells expressing VAPBP56S have distinctive phenotypes, including ER collapse, protein and/or membrane-containing inclusions, and sensitivity to ER stress. VAPB is conserved through evolution and has two homologs in budding yeast, SCS2 and SCS22. Previously, a humanized version of SCS2 bearing disease-linked mutations was described, and it caused Scs2-containing inclusions when overexpressed in yeast. Here, we describe a yeast model for ALS8 in which the two SCS genes are deleted and replaced with a single chromosomal copy of either wild-type or mutant yeast SCS2 or human VAPB expressed from the SCS2 promoter. These cells display ER collapse, the formation of inclusion-like structures, and sensitivity to tunicamycin, an ER stress-inducing drug. Based on the phenotypic similarity to mammalian cells expressing VAPBP56S, we propose that these models can be used to study the molecular basis of cell death or dysfunction in ALS8. Moreover, other conserved ALS-linked genes may create opportunities for the generation of yeast models of disease.
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Affiliation(s)
- AnnaMari L. Stump
- Department of Biology, Virginia Commonwealth University, Richmond, VA 23284, USA
- VCU Life Sciences, Virginia Commonwealth University, Richmond, VA 23284, USA
| | - Daniel J. Rioux
- Department of Biology, Virginia Commonwealth University, Richmond, VA 23284, USA
- VCU Life Sciences, Virginia Commonwealth University, Richmond, VA 23284, USA
| | - Richard Albright
- Department of Biology, Virginia Commonwealth University, Richmond, VA 23284, USA
| | - Guiliano L. Melki
- Department of Biology, Virginia Commonwealth University, Richmond, VA 23284, USA
| | - Derek C. Prosser
- Department of Biology, Virginia Commonwealth University, Richmond, VA 23284, USA
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34
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Fowler DM, Adams DJ, Gloyn AL, Hahn WC, Marks DS, Muffley LA, Neal JT, Roth FP, Rubin AF, Starita LM, Hurles ME. An Atlas of Variant Effects to understand the genome at nucleotide resolution. Genome Biol 2023; 24:147. [PMID: 37394429 PMCID: PMC10316620 DOI: 10.1186/s13059-023-02986-x] [Citation(s) in RCA: 32] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Accepted: 06/13/2023] [Indexed: 07/04/2023] Open
Abstract
Sequencing has revealed hundreds of millions of human genetic variants, and continued efforts will only add to this variant avalanche. Insufficient information exists to interpret the effects of most variants, limiting opportunities for precision medicine and comprehension of genome function. A solution lies in experimental assessment of the functional effect of variants, which can reveal their biological and clinical impact. However, variant effect assays have generally been undertaken reactively for individual variants only after and, in most cases long after, their first observation. Now, multiplexed assays of variant effect can characterise massive numbers of variants simultaneously, yielding variant effect maps that reveal the function of every possible single nucleotide change in a gene or regulatory element. Generating maps for every protein encoding gene and regulatory element in the human genome would create an 'Atlas' of variant effect maps and transform our understanding of genetics and usher in a new era of nucleotide-resolution functional knowledge of the genome. An Atlas would reveal the fundamental biology of the human genome, inform human evolution, empower the development and use of therapeutics and maximize the utility of genomics for diagnosing and treating disease. The Atlas of Variant Effects Alliance is an international collaborative group comprising hundreds of researchers, technologists and clinicians dedicated to realising an Atlas of Variant Effects to help deliver on the promise of genomics.
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Affiliation(s)
- Douglas M. Fowler
- Department of Genome Sciences, University of Washington, Seattle, WA USA
- Department of Bioengineering, University of Washington, Seattle, WA USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA USA
| | | | - Anna L. Gloyn
- Department of Pediatrics & Department of Genetics, Division of Endocrinology, Stanford School of Medicine, Stanford University, Stanford, CA USA
| | - William C. Hahn
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA USA
- Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Debora S. Marks
- Broad Institute of MIT and Harvard, Cambridge, MA USA
- Department of Systems Biology, Harvard Medical School, Cambridge, USA
| | - Lara A. Muffley
- Department of Genome Sciences, University of Washington, Seattle, WA USA
| | - James T. Neal
- Broad Institute of MIT and Harvard, Cambridge, MA USA
- Novo Nordisk Foundation Center for Genomic Mechanisms of Disease at Broad Institute, Cambridge, MA USA
| | - Frederick P. Roth
- Donnelly Centre and Departments of Molecular Genetics and Computer Science, University of Toronto, Toronto, ON Canada
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON Canada
| | - Alan F. Rubin
- Bioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC Australia
- Department of Medical Biology, University of Melbourne, Melbourne, VIC Australia
| | - Lea M. Starita
- Department of Genome Sciences, University of Washington, Seattle, WA USA
- Department of Bioengineering, University of Washington, Seattle, WA USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA USA
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35
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Ding K, Wang S, Luo Y. Supervised biological network alignment with graph neural networks. Bioinformatics 2023; 39:i465-i474. [PMID: 37387160 PMCID: PMC10311300 DOI: 10.1093/bioinformatics/btad241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/01/2023] Open
Abstract
MOTIVATION Despite the advances in sequencing technology, massive proteins with known sequences remain functionally unannotated. Biological network alignment (NA), which aims to find the node correspondence between species' protein-protein interaction (PPI) networks, has been a popular strategy to uncover missing annotations by transferring functional knowledge across species. Traditional NA methods assumed that topologically similar proteins in PPIs are functionally similar. However, it was recently reported that functionally unrelated proteins can be as topologically similar as functionally related pairs, and a new data-driven or supervised NA paradigm has been proposed, which uses protein function data to discern which topological features correspond to functional relatedness. RESULTS Here, we propose GraNA, a deep learning framework for the supervised NA paradigm for the pairwise NA problem. Employing graph neural networks, GraNA utilizes within-network interactions and across-network anchor links for learning protein representations and predicting functional correspondence between across-species proteins. A major strength of GraNA is its flexibility to integrate multi-faceted non-functional relationship data, such as sequence similarity and ortholog relationships, as anchor links to guide the mapping of functionally related proteins across species. Evaluating GraNA on a benchmark dataset composed of several NA tasks between different pairs of species, we observed that GraNA accurately predicted the functional relatedness of proteins and robustly transferred functional annotations across species, outperforming a number of existing NA methods. When applied to a case study on a humanized yeast network, GraNA also successfully discovered functionally replaceable human-yeast protein pairs that were documented in previous studies. AVAILABILITY AND IMPLEMENTATION The code of GraNA is available at https://github.com/luo-group/GraNA.
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Affiliation(s)
- Kerr Ding
- School of Computational Science and Engineering, Georgia Institute of Technology, Atlanta, GA 30332, United States
| | - Sheng Wang
- Paul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, WA 98195, United States
| | - Yunan Luo
- School of Computational Science and Engineering, Georgia Institute of Technology, Atlanta, GA 30332, United States
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36
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Magistrati M, Gilea AI, Gerra MC, Baruffini E, Dallabona C. Drug Drop Test: How to Quickly Identify Potential Therapeutic Compounds for Mitochondrial Diseases Using Yeast Saccharomyces cerevisiae. Int J Mol Sci 2023; 24:10696. [PMID: 37445873 DOI: 10.3390/ijms241310696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 06/22/2023] [Accepted: 06/25/2023] [Indexed: 07/15/2023] Open
Abstract
Mitochondrial diseases (MDs) refer to a group of clinically and genetically heterogeneous pathologies characterized by defective mitochondrial function and energy production. Unfortunately, there is no effective treatment for most MDs, and current therapeutic management is limited to relieving symptoms. The yeast Saccharomyces cerevisiae has been efficiently used as a model organism to study mitochondria-related disorders thanks to its easy manipulation and well-known mitochondrial biogenesis and metabolism. It has been successfully exploited both to validate alleged pathogenic variants identified in patients and to discover potential beneficial molecules for their treatment. The so-called "drug drop test", a phenotype-based high-throughput screening, especially if coupled with a drug repurposing approach, allows the identification of molecules with high translational potential in a cost-effective and time-saving manner. In addition to drug identification, S. cerevisiae can be used to point out the drug's target or pathway. To date, drug drop tests have been successfully carried out for a variety of disease models, leading to very promising results. The most relevant aspect is that studies on more complex model organisms confirmed the effectiveness of the drugs, strengthening the results obtained in yeast and demonstrating the usefulness of this screening as a novel approach to revealing new therapeutic molecules for MDs.
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Affiliation(s)
- Martina Magistrati
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area delle Scienze 11/A, 43124 Parma, Italy
| | - Alexandru Ionut Gilea
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area delle Scienze 11/A, 43124 Parma, Italy
| | - Maria Carla Gerra
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area delle Scienze 11/A, 43124 Parma, Italy
| | - Enrico Baruffini
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area delle Scienze 11/A, 43124 Parma, Italy
| | - Cristina Dallabona
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area delle Scienze 11/A, 43124 Parma, Italy
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37
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Meyer-Schuman R, Marte S, Smith TJ, Feely SME, Kennerson M, Nicholson G, Shy ME, Koutmou KS, Antonellis A. A humanized yeast model reveals dominant-negative properties of neuropathy-associated alanyl-tRNA synthetase mutations. Hum Mol Genet 2023; 32:2177-2191. [PMID: 37010095 PMCID: PMC10281750 DOI: 10.1093/hmg/ddad054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 03/29/2023] [Accepted: 03/30/2023] [Indexed: 04/04/2023] Open
Abstract
Aminoacyl-tRNA synthetases (ARSs) are essential enzymes that ligate tRNA molecules to cognate amino acids. Heterozygosity for missense variants or small in-frame deletions in six ARS genes causes dominant axonal peripheral neuropathy. These pathogenic variants reduce enzyme activity without significantly decreasing protein levels and reside in genes encoding homo-dimeric enzymes. These observations raise the possibility that neuropathy-associated ARS variants exert a dominant-negative effect, reducing overall ARS activity below a threshold required for peripheral nerve function. To test such variants for dominant-negative properties, we developed a humanized yeast assay to co-express pathogenic human alanyl-tRNA synthetase (AARS1) mutations with wild-type human AARS1. We show that multiple loss-of-function AARS1 mutations impair yeast growth through an interaction with wild-type AARS1, but that reducing this interaction rescues yeast growth. This suggests that neuropathy-associated AARS1 variants exert a dominant-negative effect, which supports a common, loss-of-function mechanism for ARS-mediated dominant peripheral neuropathy.
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Affiliation(s)
- Rebecca Meyer-Schuman
- Department of Human Genetics, University of Michigan Medical School, Ann Arbor, MI 48109, USA
| | - Sheila Marte
- Department of Human Genetics, University of Michigan Medical School, Ann Arbor, MI 48109, USA
| | - Tyler J Smith
- Department of Chemistry, University of Michigan, Ann Arbor, MI 48109, USA
| | - Shawna M E Feely
- Department of Neurology, Carver College of Medicine, University of Iowa, Iowa City, IA 52242, USA
| | - Marina Kennerson
- Northcott Neuroscience Laboratory, ANZAC Research Institute, Sydney, NSW 2139, Australia
- Sydney Medical School, University of Sydney, Sydney, NSW 2050, Australia
- Molecular Medicine Laboratory, Concord General Repatriation Hospital, Sydney, NSW 2139, Australia
| | - Garth Nicholson
- Northcott Neuroscience Laboratory, ANZAC Research Institute, Sydney, NSW 2139, Australia
- Sydney Medical School, University of Sydney, Sydney, NSW 2050, Australia
- Molecular Medicine Laboratory, Concord General Repatriation Hospital, Sydney, NSW 2139, Australia
| | - Mike E Shy
- Department of Neurology, Carver College of Medicine, University of Iowa, Iowa City, IA 52242, USA
| | - Kristin S Koutmou
- Department of Chemistry, University of Michigan, Ann Arbor, MI 48109, USA
| | - Anthony Antonellis
- Department of Human Genetics, University of Michigan Medical School, Ann Arbor, MI 48109, USA
- Department of Neurology, University of Michigan Medical School, Ann Arbor, MI 48109, USA
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38
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Prescott TAK, Hill R, Mas-Claret E, Gaya E, Burns E. Fungal Drug Discovery for Chronic Disease: History, New Discoveries and New Approaches. Biomolecules 2023; 13:986. [PMID: 37371566 DOI: 10.3390/biom13060986] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 06/08/2023] [Accepted: 06/10/2023] [Indexed: 06/29/2023] Open
Abstract
Fungal-derived drugs include some of the most important medicines ever discovered, and have proved pivotal in treating chronic diseases. Not only have they saved millions of lives, but they have in some cases changed perceptions of what is medically possible. However, now the low-hanging fruit have been discovered it has become much harder to make the kind of discoveries that have characterised past eras of fungal drug discovery. This may be about to change with new commercial players entering the market aiming to apply novel genomic tools to streamline the discovery process. This review examines the discovery history of approved fungal-derived drugs, and those currently in clinical trials for chronic diseases. For key molecules, we discuss their possible ecological functions in nature and how this relates to their use in human medicine. We show how the conservation of drug receptors between fungi and humans means that metabolites intended to inhibit competitor fungi often interact with human drug receptors, sometimes with unintended benefits. We also plot the distribution of drugs, antimicrobial compounds and psychoactive mushrooms onto a fungal tree and compare their distribution to those of all fungal metabolites. Finally, we examine the phenomenon of self-resistance and how this can be used to help predict metabolite mechanism of action and aid the drug discovery process.
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Affiliation(s)
| | - Rowena Hill
- Earlham Institute, Norwich NR4 7UZ, Norfolk, UK
| | | | - Ester Gaya
- Royal Botanic Gardens, Kew, Richmond TW9 3AB, Surrey, UK
| | - Edie Burns
- Royal Botanic Gardens, Kew, Richmond TW9 3AB, Surrey, UK
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Katanaev VL. Humanization for neurological disease modeling: A roadmap to increase the potential of Drosophila model systems. Animal Model Exp Med 2023; 6:230-236. [PMID: 37323110 PMCID: PMC10272901 DOI: 10.1002/ame2.12322] [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: 01/11/2023] [Accepted: 04/03/2023] [Indexed: 06/17/2023] Open
Abstract
Neuroscience and neurology research is dominated by experimentation with rodents. Around 75% of neurology disease-associated genes have orthologs in Drosophila melanogaster, the fruit fly amenable to complex neurological and behavioral investigations. However, non-vertebrate models including Drosophila have so far been unable to significantly replace mice and rats in this field of studies. One reason for this situation is the predominance of gene overexpression (and gene loss-of-function) methodologies used when establishing a Drosophila model of a given neurological disease, a strategy that does not recapitulate accurately enough the genetic disease conditions. I argue here the need for a systematic humanization approach, whereby the Drosophila orthologs of human disease genes are replaced with the human sequences. This approach will identify the list of diseases and the underlying genes that can be adequately modeled in the fruit fly. I discuss the neurological disease genes to which this systematic humanization approach should be applied and provide an example of such an application, and consider its importance for subsequent disease modeling and drug discovery in Drosophila. I argue that this paradigm will not only advance our understanding of the molecular etiology of a number of neurological disorders, but will also gradually enable researchers to reduce experimentation using rodent models of multiple neurological diseases and eventually replace these models.
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Affiliation(s)
- Vladimir L. Katanaev
- Department of Cell Physiology and Metabolism, Faculty of MedicineUniversity of GenevaGenevaSwitzerland
- HumanaFly Facility, Faculty of MedicineUniversity of GenevaGenevaSwitzerland
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Liddell LC, Gentry DM, Gilbert R, Marina D, Massaro Tieze S, Padgen MR, Akiyama K, Keenan K, Bhattacharya S, Santa Maria SR. BioSentinel: Validating Sensitivity of Yeast Biosensors to Deep Space Relevant Radiation. ASTROBIOLOGY 2023; 23:648-656. [PMID: 37052477 DOI: 10.1089/ast.2022.0124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/27/2023]
Abstract
With the imminent human exploration of deep space, it is more important than ever to understand the biological risks of deep space radiation exposure. The BioSentinel mission will be the first biological payload to study the effects of radiation beyond low Earth orbit in 50 years. This study is the last in a collection of articles about the BioSentinel biological CubeSat mission, where budding yeast cells will be used to investigate the response of a biological organism to long-term, low-dose deep space radiation. In this study, we define the methodology for detecting the biological response to space-like radiation using simulated deep space radiation and a metabolic indicator dye reduction assay. We show that there is a dose-dependent decrease in yeast cell growth and metabolism in response to space-like radiation, and this effect is significantly more pronounced in a strain of yeast that is deficient in DNA damage repair (rad51Δ) compared with a wild-type strain. Furthermore, we demonstrate the use of flight-like instrumentation after exposure to space-like ionizing radiation. Our findings will inform the development of novel and improved biosensors and technologies for future missions to deep space.
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Affiliation(s)
- Lauren C Liddell
- NASA Ames Research Center, Moffett Field, California, USA
- Logyx LLC, Mountain View, California, USA
| | - Diana M Gentry
- NASA Ames Research Center, Moffett Field, California, USA
| | - Rachel Gilbert
- NASA Ames Research Center, Moffett Field, California, USA
- FILMSS/KBR, NASA Ames Research Center, Moffett Field, California, USA
| | | | | | | | - Kylie Akiyama
- Space Life Sciences Training Program, NASA Ames Research Center, Moffett Field, California, USA
| | - Kyra Keenan
- Space Life Sciences Training Program, NASA Ames Research Center, Moffett Field, California, USA
| | | | - Sergio R Santa Maria
- NASA Ames Research Center, Moffett Field, California, USA
- FILMSS/KBR, NASA Ames Research Center, Moffett Field, California, USA
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Massaro Tieze S, Liddell LC, Santa Maria SR, Bhattacharya S. BioSentinel: A Biological CubeSat for Deep Space Exploration. ASTROBIOLOGY 2023; 23:631-636. [PMID: 32282239 PMCID: PMC10254969 DOI: 10.1089/ast.2019.2068] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/13/2019] [Accepted: 02/26/2020] [Indexed: 05/22/2023]
Abstract
BioSentinel is the first biological CubeSat designed and developed for deep space. The main objectives of this NASA mission are to assess the effects of deep space radiation on biological systems and to engineer a CubeSat platform that can autonomously support and gather data from model organisms hundreds of thousands of kilometers from Earth. The articles in this special collection describe the extensive optimization of the biological payload system performed in preparation for this long-duration deep space mission. In this study, we briefly introduce BioSentinel and provide a glimpse into its technical and conceptual heritage by detailing the evolution of the science, subsystems, and capabilities of NASA's previous biological CubeSats. This introduction is not intended as an exhaustive review of CubeSat missions, but rather provides insight into the unique optimization parameters, science, and technology of those few that employ biological model systems.
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Affiliation(s)
- Sofia Massaro Tieze
- Blue Marble Space Institute of Science, Seattle, Washington
- NASA Ames Research Center, Moffett Field, California
| | - Lauren C. Liddell
- NASA Ames Research Center, Moffett Field, California
- Logyx, LLC, Mountain View, California
| | - Sergio R. Santa Maria
- NASA Ames Research Center, Moffett Field, California
- COSMIAC Research Center, University of New Mexico, Albuquerque, New Mexico
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Belkevich AE, Pascual HG, Fakhouri AM, Ball DG, Knutson BA. Distinct Interaction Modes for the Eukaryotic RNA Polymerase Alpha-like Subunits. Mol Cell Biol 2023; 43:269-282. [PMID: 37222571 PMCID: PMC10251799 DOI: 10.1080/10985549.2023.2210023] [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: 01/31/2023] [Revised: 03/26/2023] [Accepted: 04/12/2023] [Indexed: 05/25/2023] Open
Abstract
Eukaryotic DNA-dependent RNA polymerases (Pols I-III) encode two distinct alpha-like heterodimers where one is shared between Pols I and III, and the other is unique to Pol II. Human alpha-like subunit mutations are associated with several diseases including Treacher Collins Syndrome (TCS), 4H leukodystrophy, and primary ovarian sufficiency. Yeast is commonly used to model human disease mutations, yet it remains unclear whether the alpha-like subunit interactions are functionally similar between yeast and human homologs. To examine this, we mutated several regions of the yeast and human small alpha-like subunits and used biochemical and genetic assays to establish the regions and residues required for heterodimerization with their corresponding large alpha-like subunits. Here we show that different regions of the small alpha-like subunits serve differential roles in heterodimerization, in a polymerase- and species-specific manner. We found that the small human alpha-like subunits are more sensitive to mutations, including a "humanized" yeast that we used to characterize the molecular consequence of the TCS-causingPOLR1D G52E mutation. These findings help explain why some alpha subunit associated disease mutations have little to no effect when made in their yeast orthologs and offer a better yeast model to assess the molecular basis of POLR1D associated disease mutations.
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Affiliation(s)
- Alana E. Belkevich
- Department of Biochemistry and Molecular Biology, SUNY Upstate Medical University, Syracuse, New York, USA
| | - Haleigh G. Pascual
- Department of Biochemistry and Molecular Biology, SUNY Upstate Medical University, Syracuse, New York, USA
| | - Aula M. Fakhouri
- Department of Biochemistry and Molecular Biology, SUNY Upstate Medical University, Syracuse, New York, USA
| | - David G. Ball
- Department of Biochemistry and Molecular Biology, SUNY Upstate Medical University, Syracuse, New York, USA
| | - Bruce A. Knutson
- Department of Biochemistry and Molecular Biology, SUNY Upstate Medical University, Syracuse, New York, USA
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43
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Laval F, Coppin G, Twizere JC, Vidal M. Homo cerevisiae-Leveraging Yeast for Investigating Protein-Protein Interactions and Their Role in Human Disease. Int J Mol Sci 2023; 24:9179. [PMID: 37298131 PMCID: PMC10252790 DOI: 10.3390/ijms24119179] [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: 05/01/2023] [Revised: 05/20/2023] [Accepted: 05/22/2023] [Indexed: 06/12/2023] Open
Abstract
Understanding how genetic variation affects phenotypes represents a major challenge, particularly in the context of human disease. Although numerous disease-associated genes have been identified, the clinical significance of most human variants remains unknown. Despite unparalleled advances in genomics, functional assays often lack sufficient throughput, hindering efficient variant functionalization. There is a critical need for the development of more potent, high-throughput methods for characterizing human genetic variants. Here, we review how yeast helps tackle this challenge, both as a valuable model organism and as an experimental tool for investigating the molecular basis of phenotypic perturbation upon genetic variation. In systems biology, yeast has played a pivotal role as a highly scalable platform which has allowed us to gain extensive genetic and molecular knowledge, including the construction of comprehensive interactome maps at the proteome scale for various organisms. By leveraging interactome networks, one can view biology from a systems perspective, unravel the molecular mechanisms underlying genetic diseases, and identify therapeutic targets. The use of yeast to assess the molecular impacts of genetic variants, including those associated with viral interactions, cancer, and rare and complex diseases, has the potential to bridge the gap between genotype and phenotype, opening the door for precision medicine approaches and therapeutic development.
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Affiliation(s)
- Florent Laval
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA 02215, USA; (F.L.); (G.C.)
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
- TERRA Teaching and Research Centre, University of Liège, 5030 Gembloux, Belgium
- Laboratory of Viral Interactomes, GIGA Institute, University of Liège, 4000 Liège, Belgium
| | - Georges Coppin
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA 02215, USA; (F.L.); (G.C.)
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
- Laboratory of Viral Interactomes, GIGA Institute, University of Liège, 4000 Liège, Belgium
| | - Jean-Claude Twizere
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA 02215, USA; (F.L.); (G.C.)
- TERRA Teaching and Research Centre, University of Liège, 5030 Gembloux, Belgium
- Laboratory of Viral Interactomes, GIGA Institute, University of Liège, 4000 Liège, Belgium
- Division of Science and Math, New York University Abu Dhabi, Abu Dhabi P.O. Box 129188, United Arab Emirates
| | - Marc Vidal
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA 02215, USA; (F.L.); (G.C.)
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA
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Abdullah M, Greco BM, Laurent JM, Garge RK, Boutz DR, Vandeloo M, Marcotte EM, Kachroo AH. Rapid, scalable, combinatorial genome engineering by marker-less enrichment and recombination of genetically engineered loci in yeast. CELL REPORTS METHODS 2023; 3:100464. [PMID: 37323580 PMCID: PMC10261898 DOI: 10.1016/j.crmeth.2023.100464] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 01/30/2023] [Accepted: 04/12/2023] [Indexed: 06/17/2023]
Abstract
A major challenge to rationally building multi-gene processes in yeast arises due to the combinatorics of combining all of the individual edits into the same strain. Here, we present a precise and multi-site genome editing approach that combines all edits without selection markers using CRISPR-Cas9. We demonstrate a highly efficient gene drive that selectively eliminates specific loci by integrating CRISPR-Cas9-mediated double-strand break (DSB) generation and homology-directed recombination with yeast sexual assortment. The method enables marker-less enrichment and recombination of genetically engineered loci (MERGE). We show that MERGE converts single heterologous loci to homozygous loci at ∼100% efficiency, independent of chromosomal location. Furthermore, MERGE is equally efficient at converting and combining multiple loci, thus identifying compatible genotypes. Finally, we establish MERGE proficiency by engineering a fungal carotenoid biosynthesis pathway and most of the human α-proteasome core into yeast. Therefore, MERGE lays the foundation for scalable, combinatorial genome editing in yeast.
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Affiliation(s)
- Mudabir Abdullah
- Centre for Applied Synthetic Biology, Department of Biology, Concordia University, 7141 Sherbrooke St. W, Montreal, QC, Canada
| | - Brittany M. Greco
- Centre for Applied Synthetic Biology, Department of Biology, Concordia University, 7141 Sherbrooke St. W, Montreal, QC, Canada
| | - Jon M. Laurent
- Institute of Systems Genetics, NYU Langone Health, New York, NY, USA
| | - Riddhiman K. Garge
- Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX, USA
| | - Daniel R. Boutz
- Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX, USA
| | - Michelle Vandeloo
- Centre for Applied Synthetic Biology, Department of Biology, Concordia University, 7141 Sherbrooke St. W, Montreal, QC, Canada
| | - Edward M. Marcotte
- Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX, USA
| | - Aashiq H. Kachroo
- Centre for Applied Synthetic Biology, Department of Biology, Concordia University, 7141 Sherbrooke St. W, Montreal, QC, Canada
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Lo RS, Cromie GA, Tang M, Teng K, Owens K, Sirr A, Kutz JN, Morizono H, Caldovic L, Ah Mew N, Gropman A, Dudley AM. The functional impact of 1,570 individual amino acid substitutions in human OTC. Am J Hum Genet 2023; 110:863-879. [PMID: 37146589 PMCID: PMC10183466 DOI: 10.1016/j.ajhg.2023.03.019] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 03/30/2023] [Indexed: 05/07/2023] Open
Abstract
Deleterious mutations in the X-linked gene encoding ornithine transcarbamylase (OTC) cause the most common urea cycle disorder, OTC deficiency. This rare but highly actionable disease can present with severe neonatal onset in males or with later onset in either sex. Individuals with neonatal onset appear normal at birth but rapidly develop hyperammonemia, which can progress to cerebral edema, coma, and death, outcomes ameliorated by rapid diagnosis and treatment. Here, we develop a high-throughput functional assay for human OTC and individually measure the impact of 1,570 variants, 84% of all SNV-accessible missense mutations. Comparison to existing clinical significance calls, demonstrated that our assay distinguishes known benign from pathogenic variants and variants with neonatal onset from late-onset disease presentation. This functional stratification allowed us to identify score ranges corresponding to clinically relevant levels of impairment of OTC activity. Examining the results of our assay in the context of protein structure further allowed us to identify a 13 amino acid domain, the SMG loop, whose function appears to be required in human cells but not in yeast. Finally, inclusion of our data as PS3 evidence under the current ACMG guidelines, in a pilot reclassification of 34 variants with complete loss of activity, would change the classification of 22 from variants of unknown significance to clinically actionable likely pathogenic variants. These results illustrate how large-scale functional assays are especially powerful when applied to rare genetic diseases.
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Affiliation(s)
- Russell S Lo
- Pacific Northwest Research Institute, Seattle, WA, USA
| | | | - Michelle Tang
- Pacific Northwest Research Institute, Seattle, WA, USA
| | - Kevin Teng
- Pacific Northwest Research Institute, Seattle, WA, USA
| | - Katherine Owens
- Pacific Northwest Research Institute, Seattle, WA, USA; Department of Applied Mathematics, University of Washington, Seattle, WA, USA
| | - Amy Sirr
- Pacific Northwest Research Institute, Seattle, WA, USA
| | - J Nathan Kutz
- Department of Applied Mathematics, University of Washington, Seattle, WA, USA
| | - Hiroki Morizono
- Center for Genetic Medicine Research, Children's National Research Institute, Children's National Hospital, Washington, DC, USA; Department of Genomics and Precision Medicine, School of Medicine and Health Sciences, The George Washington University, Washington, DC, USA
| | - Ljubica Caldovic
- Center for Genetic Medicine Research, Children's National Research Institute, Children's National Hospital, Washington, DC, USA; Department of Genomics and Precision Medicine, School of Medicine and Health Sciences, The George Washington University, Washington, DC, USA
| | - Nicholas Ah Mew
- Center for Genetic Medicine Research, Children's National Research Institute, Children's National Hospital, Washington, DC, USA; Department of Genomics and Precision Medicine, School of Medicine and Health Sciences, The George Washington University, Washington, DC, USA
| | - Andrea Gropman
- Center for Genetic Medicine Research, Children's National Research Institute, Children's National Hospital, Washington, DC, USA; Department of Genomics and Precision Medicine, School of Medicine and Health Sciences, The George Washington University, Washington, DC, USA; Department of Neurology, Division of Neurogenetics and Neurodevelopmental Disabilities, Children's National Hospital, Washington, DC, USA; Center for Neuroscience Research, Children's National Research Institute, Children's National Hospital, Washington, DC, USA
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Bashir A, Ahmad T, Farooq S, Lone WI, Manzoor MM, Nalli Y, Sultan P, Chaubey A, Ali A, Riyaz-Ul-Hassan S. A Secondary Metabolite of Cercospora sp., Associated with Rosa damascena Mill., Inhibits Proliferation, Biofilm Production, Ergosterol Synthesis and Other Virulence Factors in Candida albicans. MICROBIAL ECOLOGY 2023; 85:1276-1287. [PMID: 35366684 DOI: 10.1007/s00248-022-02003-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Accepted: 03/22/2022] [Indexed: 05/10/2023]
Abstract
Here we describe the antimicrobial potential of secondary metabolites, fulvic acid (F.A.) and anhydrofulvic acid (AFA), produced by RDE147, an endophyte of Rosa damascena Mill. The endophyte was identified as Cercospora piaropi by ITS and β-tubulin-based phylogenetic analyses, while chemoprofiling of the endophyte by column chromatography and spectroscopy yielded two pure compounds, F.A. and AFA. The compounds demonstrated different antimicrobial profiles, with AFA suppressing the growth of C. albicans at 7.3 µg ml-1 IC50. Further studies revealed that AFA strongly restricted the biofilm production and hyphae formation in C. albicans by down-regulating several biofilm and morphogenesis-related genes. The time-kill assays confirmed the fungicidal activity of AFA against C. albicans, killing 83.6% of the pathogen cells in 24 h at the MIC concentration, and the post-antibiotic effect (PAE) experiments established the suppression of C. albicans growth for extended time periods. The compound acted synergistically with amphotericin B and nystatin and reduced ergosterol biosynthesis by the pathogen, confirmed by ergosterol estimation and comparative expression profiling of selected genes and molecular docking of AFA with C. albicans squalene epoxidase. AFA also suppressed the expression of several other virulence genes of the fungal pathogen. The study determines the anti-C. albicans potential of AFA and its impact on the biology of the pathogen. It also indicates that Cercospora species may yield potential bioactive molecules, especially fulvic acid derivatives. However, it is imperative to conduct in vivo studies to explore this molecule's therapeutic potential further.
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Affiliation(s)
- Abid Bashir
- Fermentation and Microbial Biotechnology Division, CSIR-Indian Institute of Integrative Medicine, Sanat Nagar, Srinagar, 190005, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Tanveer Ahmad
- Fermentation and Microbial Biotechnology Division, CSIR-Indian Institute of Integrative Medicine, Sanat Nagar, Srinagar, 190005, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Sadaqat Farooq
- Fermentation and Microbial Biotechnology Division, CSIR-Indian Institute of Integrative Medicine, Sanat Nagar, Srinagar, 190005, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Waseem I Lone
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
- Natural Products Chemistry Division, CSIR-Indian Institute of Integrative Medicine, Canal Road, Jammu, 180001, India
| | - Malik M Manzoor
- Fermentation and Microbial Biotechnology Division, CSIR-Indian Institute of Integrative Medicine, Sanat Nagar, Srinagar, 190005, India
| | - Yedukondalu Nalli
- Natural Products Chemistry Division, CSIR-Indian Institute of Integrative Medicine, Canal Road, Jammu, 180001, India
| | - Phalisteen Sultan
- Fermentation and Microbial Biotechnology Division, CSIR-Indian Institute of Integrative Medicine, Sanat Nagar, Srinagar, 190005, India
| | - Asha Chaubey
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
- Fermentation and Microbial Biotechnology Division, CSIR-Indian Institute of Integrative Medicine, Canal Road, Jammu, 180001, India
| | - Asif Ali
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
- Natural Products Chemistry Division, CSIR-Indian Institute of Integrative Medicine, Canal Road, Jammu, 180001, India
| | - Syed Riyaz-Ul-Hassan
- Fermentation and Microbial Biotechnology Division, CSIR-Indian Institute of Integrative Medicine, Sanat Nagar, Srinagar, 190005, India.
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India.
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Lesko MA, Chandrashekarappa DG, Jordahl EM, Oppenheimer KG, Bowman RW, Shang C, Durrant JD, Schmidt MC, O’Donnell AF. Changing course: Glucose starvation drives nuclear accumulation of Hexokinase 2 in S. cerevisiae. PLoS Genet 2023; 19:e1010745. [PMID: 37196001 PMCID: PMC10228819 DOI: 10.1371/journal.pgen.1010745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 05/30/2023] [Accepted: 04/14/2023] [Indexed: 05/19/2023] Open
Abstract
Glucose is the preferred carbon source for most eukaryotes, and the first step in its metabolism is phosphorylation to glucose-6-phosphate. This reaction is catalyzed by hexokinases or glucokinases. The yeast Saccharomyces cerevisiae encodes three such enzymes, Hxk1, Hxk2, and Glk1. In yeast and mammals, some isoforms of this enzyme are found in the nucleus, suggesting a possible moonlighting function beyond glucose phosphorylation. In contrast to mammalian hexokinases, yeast Hxk2 has been proposed to shuttle into the nucleus in glucose-replete conditions, where it reportedly moonlights as part of a glucose-repressive transcriptional complex. To achieve its role in glucose repression, Hxk2 reportedly binds the Mig1 transcriptional repressor, is dephosphorylated at serine 15 and requires an N-terminal nuclear localization sequence (NLS). We used high-resolution, quantitative, fluorescent microscopy of live cells to determine the conditions, residues, and regulatory proteins required for Hxk2 nuclear localization. Countering previous yeast studies, we find that Hxk2 is largely excluded from the nucleus under glucose-replete conditions but is retained in the nucleus under glucose-limiting conditions. We find that the Hxk2 N-terminus does not contain an NLS but instead is necessary for nuclear exclusion and regulating multimerization. Amino acid substitutions of the phosphorylated residue, serine 15, disrupt Hxk2 dimerization but have no effect on its glucose-regulated nuclear localization. Alanine substation at nearby lysine 13 affects dimerization and maintenance of nuclear exclusion in glucose-replete conditions. Modeling and simulation provide insight into the molecular mechanisms of this regulation. In contrast to earlier studies, we find that the transcriptional repressor Mig1 and the protein kinase Snf1 have little effect on Hxk2 localization. Instead, the protein kinase Tda1 regulates Hxk2 localization. RNAseq analyses of the yeast transcriptome dispels the idea that Hxk2 moonlights as a transcriptional regulator of glucose repression, demonstrating that Hxk2 has a negligible role in transcriptional regulation in both glucose-replete and limiting conditions. Our studies define a new model of cis- and trans-acting regulators of Hxk2 dimerization and nuclear localization. Based on our data, the nuclear translocation of Hxk2 in yeast occurs in glucose starvation conditions, which aligns well with the nuclear regulation of mammalian orthologs. Our results lay the foundation for future studies of Hxk2 nuclear activity.
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Affiliation(s)
- Mitchell A. Lesko
- Department of Biological Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Dakshayini G. Chandrashekarappa
- Department of Microbiology and Molecular Genetics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, United States of America
| | - Eric M. Jordahl
- Department of Biological Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Katherine G. Oppenheimer
- Department of Biological Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Ray W. Bowman
- Department of Biological Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Chaowei Shang
- Department of Biological Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Jacob D. Durrant
- Department of Biological Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Martin C. Schmidt
- Department of Microbiology and Molecular Genetics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, United States of America
| | - Allyson F. O’Donnell
- Department of Biological Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
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Valenti M, Molina M, Cid VJ. Human gasdermin D and MLKL disrupt mitochondria, endocytic traffic and TORC1 signalling in budding yeast. Open Biol 2023; 13:220366. [PMID: 37220793 PMCID: PMC10205182 DOI: 10.1098/rsob.220366] [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: 12/14/2022] [Accepted: 04/20/2023] [Indexed: 05/25/2023] Open
Abstract
Gasdermin D (GSDMD) and mixed lineage kinase domain-like protein (MLKL) are the pore-forming effectors of pyroptosis and necroptosis, respectively, with the capacity to disturb plasma membrane selective permeability and induce regulated cell death. The budding yeast Saccharomyces cerevisiae has long been used as a simple eukaryotic model for the study of proteins associated with human diseases by heterologous expression. In this work, we expressed in yeast both GSDMD and its N-terminal domain (GSDMD(NT)) to characterize their cellular effects and compare them to those of MLKL. GSDMD(NT) and MLKL inhibited yeast growth, formed cytoplasmic aggregates and fragmented mitochondria. Loss-of-function point mutants of GSDMD(NT) showed affinity for this organelle. Besides, GSDMD(NT) and MLKL caused an irreversible cell cycle arrest through TORC1 inhibition and disrupted endosomal and autophagic vesicular traffic. Our results provide a basis for a humanized yeast platform to study GSDMD and MLKL, a useful tool for structure-function assays and drug discovery.
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Affiliation(s)
- Marta Valenti
- Departamento de Microbiología y Parasitología, Facultad de Farmacia, and Instituto Ramón y Cajal de Investigaciones Sanitarias (IRYCIS), Universidad Complutense de Madrid, Madrid 28040, Spain
| | - María Molina
- Departamento de Microbiología y Parasitología, Facultad de Farmacia, and Instituto Ramón y Cajal de Investigaciones Sanitarias (IRYCIS), Universidad Complutense de Madrid, Madrid 28040, Spain
| | - Víctor J. Cid
- Departamento de Microbiología y Parasitología, Facultad de Farmacia, and Instituto Ramón y Cajal de Investigaciones Sanitarias (IRYCIS), Universidad Complutense de Madrid, Madrid 28040, Spain
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49
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Haase MAB, Ólafsson G, Flores RL, Boakye‐Ansah E, Zelter A, Dickinson MS, Lazar‐Stefanita L, Truong DM, Asbury CL, Davis TN, Boeke JD. DASH/Dam1 complex mutants stabilize ploidy in histone-humanized yeast by weakening kinetochore-microtubule attachments. EMBO J 2023; 42:e112600. [PMID: 36651597 PMCID: PMC10106983 DOI: 10.15252/embj.2022112600] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 12/16/2022] [Accepted: 12/20/2022] [Indexed: 01/19/2023] Open
Abstract
Forcing budding yeast to chromatinize their DNA with human histones manifests an abrupt fitness cost. We previously proposed chromosomal aneuploidy and missense mutations as two potential modes of adaptation to histone humanization. Here, we show that aneuploidy in histone-humanized yeasts is specific to a subset of chromosomes that are defined by their centromeric evolutionary origins but that these aneuploidies are not adaptive. Instead, we find that a set of missense mutations in outer kinetochore proteins drives adaptation to human histones. Furthermore, we characterize the molecular mechanism underlying adaptation in two mutants of the outer kinetochore DASH/Dam1 complex, which reduce aneuploidy by suppression of chromosome instability. Molecular modeling and biochemical experiments show that these two mutants likely disrupt a conserved oligomerization interface thereby weakening microtubule attachments. We propose a model through which weakened microtubule attachments promote increased kinetochore-microtubule turnover and thus suppress chromosome instability. In sum, our data show how a set of point mutations evolved in histone-humanized yeasts to counterbalance human histone-induced chromosomal instability through weakening microtubule interactions, eventually promoting a return to euploidy.
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Affiliation(s)
- Max A B Haase
- Institute for Systems Genetics and Department of Biochemistry and Molecular PharmacologyNYU Langone HealthNew YorkNYUSA
- Vilcek Institute of Graduate Biomedical SciencesNYU School of MedicineNew YorkNYUSA
| | - Guðjón Ólafsson
- Institute for Systems Genetics and Department of Biochemistry and Molecular PharmacologyNYU Langone HealthNew YorkNYUSA
| | - Rachel L Flores
- Department of BiochemistryUniversity of WashingtonSeattleWAUSA
| | | | - Alex Zelter
- Department of BiochemistryUniversity of WashingtonSeattleWAUSA
| | | | - Luciana Lazar‐Stefanita
- Institute for Systems Genetics and Department of Biochemistry and Molecular PharmacologyNYU Langone HealthNew YorkNYUSA
| | - David M Truong
- Department of Biomedical EngineeringNYU Tandon School of EngineeringBrooklynNYUSA
- Department of PathologyNYU Langone HealthNew YorkNYUSA
| | - Charles L Asbury
- Department of BiochemistryUniversity of WashingtonSeattleWAUSA
- Department of Physiology and BiophysicsUniversity of WashingtonSeattleWAUSA
| | - Trisha N Davis
- Department of BiochemistryUniversity of WashingtonSeattleWAUSA
| | - Jef D Boeke
- Institute for Systems Genetics and Department of Biochemistry and Molecular PharmacologyNYU Langone HealthNew YorkNYUSA
- Department of Biomedical EngineeringNYU Tandon School of EngineeringBrooklynNYUSA
- Department of Biochemistry and Molecular PharmacologyNYU Langone HealthNew YorkNYUSA
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50
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Kembro JM, Flesia AG, Nieto PS, Caliva JM, Lloyd D, Cortassa S, Aon MA. A dynamically coherent pattern of rhythms that matches between distant species across the evolutionary scale. Sci Rep 2023; 13:5326. [PMID: 37005423 PMCID: PMC10067965 DOI: 10.1038/s41598-023-32286-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Accepted: 03/25/2023] [Indexed: 04/04/2023] Open
Abstract
We address the temporal organization of circadian and ultradian rhythms, crucial for understanding biological timekeeping in behavior, physiology, metabolism, and alignment with geophysical time. Using a newly developed five-steps wavelet-based approach to analyze high-resolution time series of metabolism in yeast cultures and spontaneous movement, metabolism, and feeding behavior in mice, rats, and quails, we describe a dynamically coherent pattern of rhythms spanning over a broad range of temporal scales (hours to minutes). The dynamic pattern found shares key features among the four, evolutionary distant, species analyzed. Specifically, a branching appearance given by splitting periods from 24 h into 12 h, 8 h and below in mammalian and avian species, or from 14 h down to 0.07 h in yeast. Scale-free fluctuations with long-range correlations prevail below ~ 4 h. Synthetic time series modeling support a scenario of coexisting behavioral rhythms, with circadian and ultradian rhythms at the center of the emergent pattern observed.
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Affiliation(s)
- J M Kembro
- Instituto de Investigaciones Biológicas y Tecnológicas, Consejo Nacional de Investigaciones Científicas y Técnicas, Universidad Nacional de Córdoba, Córdoba, Argentina
- Facultad de Ciencias Exactas, Físicas y Naturales, Instituto de Ciencia y Tecnología de los Alimentos (ICTA), Universidad Nacional de Córdoba, Córdoba, Argentina
- Universidad Nacional de Córdoba, Facultad de Ciencias Exactas, Físicas y Naturales, Departamento de Química, Cátedra de Química Biológica, Córdoba, Argentina
| | - A G Flesia
- Facultad de Matemática, Astronomía, Física y Computación, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Centro de Investigación y Estudios de La Matemática (CIEM, CONICET-UNC), Universidad Nacional de Córdoba, Córdoba, Argentina
| | - P S Nieto
- Facultad de Matemática, Astronomía, Física y Computación, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Instituto de Física Enrique Gaviola (IFEG, CONICET-UNC), Universidad Nacional de Córdoba, Córdoba, Argentina
| | - J M Caliva
- Instituto de Investigaciones Biológicas y Tecnológicas, Consejo Nacional de Investigaciones Científicas y Técnicas, Universidad Nacional de Córdoba, Córdoba, Argentina
| | - D Lloyd
- Schools of Bioscience and Engineering, Cardiff University, Cardiff, Wales, UK
| | - S Cortassa
- Laboratory of Cardiovascular Science, National Institute on Aging, NIH, Baltimore, MD, USA
| | - M A Aon
- Laboratory of Cardiovascular Science, National Institute on Aging, NIH, Baltimore, MD, USA.
- Translational Gerontology Branch, National Institute on Aging, NIH, Baltimore, MD, USA.
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