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Haering M, Bondio AD, Puccio H, Habermann BH. mitoXplorer 3.0, A Web Tool for Exploring Mitochondrial Dynamics in Single-cell RNA-seq Data. J Mol Biol 2025:169004. [PMID: 40133780 DOI: 10.1016/j.jmb.2025.169004] [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: 11/30/2024] [Revised: 01/31/2025] [Accepted: 02/10/2025] [Indexed: 03/27/2025]
Abstract
Mitochondria are essential eukaryotic organelles, primarily recognized for their roles in ATP production, cellular metabolism and signalling. It is widely accepted that their structure, composition and function differ across cell types. However, little is known about mitochondrial variability within the same cell type. A comprehensive understanding of mitochondrial function and dynamics requires investigation at both, the individual cell type and single-cell resolution. Based on our mitoXplorer 2.0 web tool, we introduce mitoXplorer 3.0 with new features adapted for analysing single-cell sequencing data, focusing only on mitochondria. We developed a formatting script, scXplorer, which generates mitoXplorer 3.0 compatible files for data upload. The script generates pseudo-bulk transcriptomes of cell types from scRNA-seq data, enabling differential expression analysis and subsequent mitochondria-centric analysis with mitoXplorer classical interfaces. It also creates a single-cell expression matrix only containing mitochondria-associated genes (mito-genes), which can be analysed for cell-to-cell variability with novel, interactive interfaces created for mitoXplorer 3.0: these new interfaces help to identify sub-clusters of cell types based only on mito-genes and offer in-depth mitochondria-centric analysis of subpopulations. We demonstrate the usability and predictive power of mitoXplorer 3.0 through analysis of single-cell transcriptome data from a Spinocerebellar Ataxia Type 1 study. Our analysis identified several mitochondrial processes and genes significantly affected in SCA1 Purkinje cells, potentially contributing to mitochondrial dysfunction and subsequent Purkinje cell degeneration in this disease. MitoXplorer 3.0 is freely available at https://mitoxplorer3.ibdm.univ-amu.fr.
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Affiliation(s)
- Margaux Haering
- Aix-Marseille University, CNRS, IBDM UMR7288, Turing Center for Living Systems (CENTURI), 13009 Marseille, France
| | - Andrea Del Bondio
- Université Claude Bernard UCBL-CNRS UMR5261, Inserm U1315, 69008 Lyon, France
| | - Helene Puccio
- Université Claude Bernard UCBL-CNRS UMR5261, Inserm U1315, 69008 Lyon, France
| | - Bianca H Habermann
- Aix-Marseille University, CNRS, IBDM UMR7288, Turing Center for Living Systems (CENTURI), 13009 Marseille, France.
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2
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Yan Q, Du Y, Huang F, Zhang Q, Zhan M, Wu J, Yan J, Zhang P, Lin H, Han L, Huang X. Identification of mitochondria-related genes as diagnostic biomarkers for diabetic nephropathy and their correlation with immune infiltration: New insights from bioinformatics analysis. Int Immunopharmacol 2024; 142:113114. [PMID: 39265357 DOI: 10.1016/j.intimp.2024.113114] [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: 06/29/2024] [Revised: 08/20/2024] [Accepted: 09/05/2024] [Indexed: 09/14/2024]
Abstract
BACKGROUND Diabetic nephropathy (DN) is a common and severe microvascular complication of diabetes. Mitochondrial dysfunction and immune inflammation are important factors in the pathogenesis of DN. However, the specific mechanisms and their intricate interactions in DN remain unclear. Besides, there are no effective specific predictive or diagnostic biomarkers for DN so far. Therefore, this study aims to elucidate the role of mitochondrial-related genes and their possibility as predictive or diagnostic biomarkers, as well as their crosstalk with immune infiltration in the progression of DN. METHODS Based on the GEO database and limma R package, the differentially expressed genes (DEGs) of DN were identified. Mitochondrial-related DEGs (MitoDEGs) were then obtained by intersecting these DEGs with mitochondria-related genes from the MitoCarta 3.0 database. Subsequently, the candidate hub genes were further screened by gene co-expression network analysis (WGCNA), and verified mRNA levels of these genes by real-time quantitative PCR (qRT-PCR) in high-glucose-treated human proximal tubular (HK-2) cells. The verified hub genes were utilized to construct a combined diagnostic model for DN, with its diagnostic efficacy assessed across the GSE30122 and GSE96804 datasets. Additionally, the immune infiltration pattern in DN was assessed with the CIBERSORT algorithm, and the Nephroseq v5 database was used to analyze the correlation between hub genes and clinical features of DN. RESULTS Seven mitochondria-related candidate hub genes were screened from 56 MitoDEGs. Subsequently, the expression levels of six of them, namely EFHD1, CASP3, AASS, MPC1, NT5DC2, and BCL2A1, exhibited significant inter-group differences in the HK-2 cell model. The diagnostic model based on the six genes demonstrated good diagnostic efficacy in both training and validation sets. Furthermore, correlation analysis indicated that EFHD1 and AASS, downregulated in DN, are positively correlated with eGFR and negatively with serum creatinine. Conversely, CASP3, NT5DC2, and BCL2A1, upregulated in DN, show opposite correlations. In addition, spearman analysis revealed that the six hub genes were significantly associated with the infiltration of immune cells, including M1 and M2 macrophages, mast cells, resting NK cells, gamma delta T cells, and follicular helper T cells. CONCLUSION This study elucidated the characteristics of mitochondria-related genes and their correlation with immune cell infiltration in DN, providing new insights for exploring the pathogenesis of DN and facilitating the identification of new potential biomarkers and therapeutic targets.
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Affiliation(s)
- Qiaofang Yan
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Chinese Medicine), Guangzhou 510120, China; Second Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou 510405, China
| | - Yuanyuan Du
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Chinese Medicine), Guangzhou 510120, China; Second Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou 510405, China
| | - Fei Huang
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Chinese Medicine), Guangzhou 510120, China; Second Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou 510405, China
| | - Qiaoxuan Zhang
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Chinese Medicine), Guangzhou 510120, China
| | - Min Zhan
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Chinese Medicine), Guangzhou 510120, China
| | - Junbiao Wu
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Chinese Medicine), Guangzhou 510120, China
| | - Jun Yan
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Chinese Medicine), Guangzhou 510120, China
| | - Pengwei Zhang
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Chinese Medicine), Guangzhou 510120, China; Guangdong-Hong Kong-Macau Joint Lab on Chinese Medicine and Immune Disease Research, Guangzhou, 510120, China
| | - Haibiao Lin
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Chinese Medicine), Guangzhou 510120, China
| | - Liqiao Han
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Chinese Medicine), Guangzhou 510120, China.
| | - Xianzhang Huang
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Chinese Medicine), Guangzhou 510120, China.
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3
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Delgado de la Herran H, Vecellio Reane D, Cheng Y, Katona M, Hosp F, Greotti E, Wettmarshausen J, Patron M, Mohr H, Prudente de Mello N, Chudenkova M, Gorza M, Walia S, Feng MSF, Leimpek A, Mielenz D, Pellegata NS, Langer T, Hajnóczky G, Mann M, Murgia M, Perocchi F. Systematic mapping of mitochondrial calcium uniporter channel (MCUC)-mediated calcium signaling networks. EMBO J 2024; 43:5288-5326. [PMID: 39261663 PMCID: PMC11535509 DOI: 10.1038/s44318-024-00219-w] [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: 02/20/2024] [Revised: 08/08/2024] [Accepted: 08/15/2024] [Indexed: 09/13/2024] Open
Abstract
The mitochondrial calcium uniporter channel (MCUC) mediates mitochondrial calcium entry, regulating energy metabolism and cell death. Although several MCUC components have been identified, the molecular basis of mitochondrial calcium signaling networks and their remodeling upon changes in uniporter activity have not been assessed. Here, we map the MCUC interactome under resting conditions and upon chronic loss or gain of mitochondrial calcium uptake. We identify 89 high-confidence interactors that link MCUC to several mitochondrial complexes and pathways, half of which are associated with human disease. As a proof-of-concept, we validate the mitochondrial intermembrane space protein EFHD1 as a binding partner of the MCUC subunits MCU, EMRE, and MCUB. We further show a MICU1-dependent inhibitory effect of EFHD1 on calcium uptake. Next, we systematically survey compensatory mechanisms and functional consequences of mitochondrial calcium dyshomeostasis by analyzing the MCU interactome upon EMRE, MCUB, MICU1, or MICU2 knockdown. While silencing EMRE reduces MCU interconnectivity, MCUB loss-of-function leads to a wider interaction network. Our study provides a comprehensive and high-confidence resource to gain insights into players and mechanisms regulating mitochondrial calcium signaling and their relevance in human diseases.
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Affiliation(s)
- Hilda Delgado de la Herran
- Institute for Diabetes and Obesity, Helmholtz Diabetes Center, Helmholtz Zentrum Munich, Munich, Germany
| | - Denis Vecellio Reane
- Institute for Diabetes and Obesity, Helmholtz Diabetes Center, Helmholtz Zentrum Munich, Munich, Germany
| | - Yiming Cheng
- Institute for Diabetes and Obesity, Helmholtz Diabetes Center, Helmholtz Zentrum Munich, Munich, Germany
| | - Máté Katona
- Department of Pathology, Anatomy, and Cell Biology, MitoCare Center, Thomas Jefferson University, Philadelphia, PA, USA
| | - Fabian Hosp
- Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany
- Roche Pharma Research and Early Development, Large Molecule Research, Mass Spectrometry, Penzberg, Germany
| | - Elisa Greotti
- Neuroscience Institute, National Research Council of Italy, Padua, Italy
- Department of Biomedical Sciences, University of Padova, Padua, Italy
- Padova Neuroscience Center, University of Padova, Padua, Italy
| | - Jennifer Wettmarshausen
- Institute for Diabetes and Obesity, Helmholtz Diabetes Center, Helmholtz Zentrum Munich, Munich, Germany
| | - Maria Patron
- Institute for Genetics, Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases, Center for Molecular Medicine, University of Cologne, Cologne, Germany
- Max Planck Institute for Biology of Aging, Cologne, Germany
| | - Hermine Mohr
- Institute of Diabetes and Cancer, Helmholtz Center Munich, Munich, Germany
| | - Natalia Prudente de Mello
- Institute for Diabetes and Obesity, Helmholtz Diabetes Center, Helmholtz Zentrum Munich, Munich, Germany
| | - Margarita Chudenkova
- Institute for Diabetes and Obesity, Helmholtz Diabetes Center, Helmholtz Zentrum Munich, Munich, Germany
| | - Matteo Gorza
- Institute for Diabetes and Obesity, Helmholtz Diabetes Center, Helmholtz Zentrum Munich, Munich, Germany
| | - Safal Walia
- Institute for Diabetes and Obesity, Helmholtz Diabetes Center, Helmholtz Zentrum Munich, Munich, Germany
| | - Michael Sheng-Fu Feng
- Institute for Diabetes and Obesity, Helmholtz Diabetes Center, Helmholtz Zentrum Munich, Munich, Germany
| | - Anja Leimpek
- Institute for Diabetes and Obesity, Helmholtz Diabetes Center, Helmholtz Zentrum Munich, Munich, Germany
| | - Dirk Mielenz
- Division of Molecular Immunology, University of Erlangen, Nikolaus-Fiebiger-Zentrum, FAU Erlangen-Nürnberg, Erlangen, Germany
| | - Natalia S Pellegata
- Institute of Diabetes and Cancer, Helmholtz Center Munich, Munich, Germany
- Department of Biology and Biotechnology, University of Pavia, Pavia, Italy
| | - Thomas Langer
- Institute for Genetics, Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases, Center for Molecular Medicine, University of Cologne, Cologne, Germany
- Max Planck Institute for Biology of Aging, Cologne, Germany
| | - György Hajnóczky
- Department of Pathology, Anatomy, and Cell Biology, MitoCare Center, Thomas Jefferson University, Philadelphia, PA, USA
| | - Matthias Mann
- Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany
- Faculty of Health Sciences, Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark
| | - Marta Murgia
- Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.
- Department of Biomedical Sciences, University of Padova, Padua, Italy.
| | - Fabiana Perocchi
- Institute for Diabetes and Obesity, Helmholtz Diabetes Center, Helmholtz Zentrum Munich, Munich, Germany.
- Institute of Neuronal Cell Biology, Technical University of Munich, Munich, Germany.
- Munich Cluster for Systems Neurology, Munich, Germany.
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4
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Goyani S, Shukla S, Jadiya P, Tomar D. Calcium signaling in mitochondrial intermembrane space. Biochem Soc Trans 2024; 52:2215-2229. [PMID: 39392359 PMCID: PMC11727339 DOI: 10.1042/bst20240319] [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] [Indexed: 10/12/2024]
Abstract
The mitochondrial intermembrane space (IMS) is a highly protected compartment, second only to the matrix. It is a crucial bridge, coordinating mitochondrial activities with cellular processes such as metabolites, protein, lipid, and ion exchange. This regulation influences signaling pathways for metabolic activities and cellular homeostasis. The IMS harbors various proteins critical for initiating apoptotic cascades and regulating reactive oxygen species production by controlling the respiratory chain. Calcium (Ca2+), a key intracellular secondary messenger, enter the mitochondrial matrix via the IMS, regulating mitochondrial bioenergetics, ATP production, modulating cell death pathways. IMS acts as a regulatory site for Ca2+ entry due to the presence of different Ca2+ sensors such as MICUs, solute carriers (SLCs); ion exchangers (LETM1/SCaMCs); S100A1, mitochondrial glycerol-3-phosphate dehydrogenase, and EFHD1, each with unique Ca2+ binding motifs and spatial localizations. This review primarily emphasizes the role of these IMS-localized Ca2+ sensors concerning their spatial localization, mechanism, and molecular functions. Additionally, we discuss how these sensors contribute to the progression and pathogenesis of various human health conditions and diseases.
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Affiliation(s)
- Shanikumar Goyani
- Department of Internal Medicine, Section of Cardiovascular Medicine, Section of Molecular Medicine, Wake Forest University School of Medicine, Winston-Salem, NC 27157, U.S.A
| | - Shatakshi Shukla
- Department of Internal Medicine, Section of Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, NC 27157, U.S.A
| | - Pooja Jadiya
- Department of Internal Medicine, Section of Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, NC 27157, U.S.A
| | - Dhanendra Tomar
- Department of Internal Medicine, Section of Cardiovascular Medicine, Section of Molecular Medicine, Wake Forest University School of Medicine, Winston-Salem, NC 27157, U.S.A
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5
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Iglesias Pastrana C, Navas González FJ, Macri M, Martínez Martínez MDA, Ciani E, Delgado Bermejo JV. Identification of novel genetic loci related to dromedary camel (Camelus dromedarius) morphometrics, biomechanics, and behavior by genome-wide association studies. BMC Vet Res 2024; 20:418. [PMID: 39294626 PMCID: PMC11409489 DOI: 10.1186/s12917-024-04263-w] [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: 06/24/2024] [Accepted: 09/03/2024] [Indexed: 09/21/2024] Open
Abstract
In the realm of animal breeding for sustainability, domestic camels have traditionally been valued for their milk and meat production. However, key aspects such as zoometrics, biomechanics, and behavior have often been overlooked in terms of their genetic foundations. Recognizing this gap, the present study perfomed genome-wide association analyses to identify genetic markers associated with zoometrics-, biomechanics-, and behavior-related traits in dromedary camels (Camelus dromedarius). 16 and 108 genetic markers were significantly associated (q < 0.05) at genome and chromosome-wide levels of significance, respectively, with zoometrics- (width, length, and perimeter/girth), biomechanics- (acceleration, displacement, spatial position, and velocity), and behavior-related traits (general cognition, intelligence, and Intelligence Quotient (IQ)) in dromedaries. In most association loci, the nearest protein-coding genes are linkedto neurodevelopmental and sensory disorders. This suggests that genetic variations related to neural development and sensory perception play crucial roles in shaping a dromedary camel's physical characteristics and behavior. In summary, this research advances our understanding of the genomic basis of essential traits in dromedary camels. Identifying specific genetic markers associated with zoometrics, biomechanics, and behavior provides valuable insights into camel domestication. Moreover, the links between these traits and genes related to neurodevelopmental and sensory disorders highlight the broader implications of domestication and modern selection on the health and welfare of dromedary camels. This knowledge could guide future breeding strategies, fostering a more holistic approach to camel husbandry and ensuring the sustainability of these animals in diverse agricultural contexts.
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Affiliation(s)
| | | | - Martina Macri
- Department of Genetics, Faculty of Veterinary Sciences, University of Córdoba, Córdoba, Spain
- Animal Breeding Consulting S.L, Parque Científico Tecnológico de Córdoba, Córdoba, Spain
| | | | - Elena Ciani
- Department of Biosciences, Biotechnologies and Environment, Faculty of Veterinary Sciences, University of Bari 'Aldo Moro', Bari, Italy
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6
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Klimenko ES, Sukhareva KS, Vlasova Y, Smolina NA, Fomicheva Y, Knyazeva A, Muravyev AS, Sorokina MY, Gavrilova LS, Boldyreva LV, Medvedeva SS, Sejersen T, Kostareva AA. Flnc expression impacts mitochondrial function, autophagy, and calcium handling in C2C12 cells. Exp Cell Res 2024; 442:114174. [PMID: 39089502 DOI: 10.1016/j.yexcr.2024.114174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2024] [Revised: 07/12/2024] [Accepted: 07/21/2024] [Indexed: 08/04/2024]
Affiliation(s)
- E S Klimenko
- Almazov National Medical Research Centre, Saint-Petersburg, Russia
| | - K S Sukhareva
- Almazov National Medical Research Centre, Saint-Petersburg, Russia
| | - YuA Vlasova
- Almazov National Medical Research Centre, Saint-Petersburg, Russia
| | - N A Smolina
- Almazov National Medical Research Centre, Saint-Petersburg, Russia
| | - YuV Fomicheva
- Almazov National Medical Research Centre, Saint-Petersburg, Russia
| | - A Knyazeva
- Almazov National Medical Research Centre, Saint-Petersburg, Russia
| | - A S Muravyev
- Almazov National Medical Research Centre, Saint-Petersburg, Russia
| | - M Yu Sorokina
- Almazov National Medical Research Centre, Saint-Petersburg, Russia
| | - L S Gavrilova
- Almazov National Medical Research Centre, Saint-Petersburg, Russia
| | - L V Boldyreva
- Scientific-Research Institute of Neurosciences and Medicine, Novosibirsk, Russia; Institute of Molecular and Cellular Biology, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - S S Medvedeva
- Scientific-Research Institute of Neurosciences and Medicine, Novosibirsk, Russia; Institute of Molecular and Cellular Biology, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - T Sejersen
- Department of Women's and Children's Health, Karolinska Institutet, Department of Child Neurology, Karolinska University Hospital, Astrid Lindgren Children's Hospital, Stockholm, Sweden; Center for Neuromusculoskeletal Restorative Medicine, Hong Kong Science Park, Shatin, New Territories, Hong Kong
| | - A A Kostareva
- Almazov National Medical Research Centre, Saint-Petersburg, Russia; Department of Women's and Children's Health, Karolinska Institutet, Department of Child Neurology, Karolinska University Hospital, Astrid Lindgren Children's Hospital, Stockholm, Sweden; Center for Neuromusculoskeletal Restorative Medicine, Hong Kong Science Park, Shatin, New Territories, Hong Kong.
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7
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Shen X, Ma M, Mi R, Zhuang J, Song Y, Yang W, Li H, Lu Y, Yang B, Liu Y, Wu Y, Shen H. EFHD1 promotes osteosarcoma proliferation and drug resistance by inhibiting the opening of the mitochondrial membrane permeability transition pore (mPTP) by binding to ANT3. Cell Mol Life Sci 2024; 81:236. [PMID: 38795203 PMCID: PMC11127909 DOI: 10.1007/s00018-024-05254-8] [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: 08/07/2023] [Revised: 03/19/2024] [Accepted: 04/24/2024] [Indexed: 05/27/2024]
Abstract
Chemoresistance is the main obstacle in the clinical treatment of osteosarcoma (OS). In this study, we investigated the role of EF-hand domain-containing protein 1 (EFHD1) in OS chemotherapy resistance. We found that the expression of EFHD1 was highly correlated with the clinical outcome after chemotherapy. We overexpressed EFHD1 in 143B cells and found that it increased their resistance to cell death after drug treatment. Conversely, knockdown of EFHD1 in 143BR cells (a cisplatin-less-sensitive OS cell line derived from 143B cells) increased their sensitivity to treatment. Mechanistically, EFHD1 bound to adenine nucleotide translocase-3 (ANT3) and inhibited its conformational change, thereby inhibiting the opening of the mitochondrial membrane permeability transition pore (mPTP). This effect could maintain mitochondrial function, thereby favoring OS cell survival. The ANT3 conformational inhibitor carboxyatractyloside (CATR), which can promote mPTP opening, enhanced the chemosensitivity of EFHD1-overexpressing cells when combined with cisplatin. The ANT3 conformational inhibitor bongkrekic acid (BKA), which can inhibit mPTP opening, restored the resistance of EFHD1 knockdown cells. In conclusion, our results suggest that EFHD1-ANT3-mPTP might be a promising target for OS therapy in the future.
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Affiliation(s)
- Xin Shen
- Department of Orthopedics, The Eighth Affiliated Hospital of Sun Yat-sen University, No. 3025 Shennan Zhong Road, Shenzhen, 518033, Guangdong, China
| | - Mengjun Ma
- Department of Orthopedics, The Eighth Affiliated Hospital of Sun Yat-sen University, No. 3025 Shennan Zhong Road, Shenzhen, 518033, Guangdong, China
| | - Rujia Mi
- Center for Biotherapy, The Eighth Affiliated Hospital of Sun Yat-sen University, No. 3025 Shennan Zhong Road, Shenzhen, 518033, Guangdong, China
| | - Jiahao Zhuang
- Department of Orthopedics, The Eighth Affiliated Hospital of Sun Yat-sen University, No. 3025 Shennan Zhong Road, Shenzhen, 518033, Guangdong, China
| | - Yihui Song
- Department of Orthopedics, The Eighth Affiliated Hospital of Sun Yat-sen University, No. 3025 Shennan Zhong Road, Shenzhen, 518033, Guangdong, China
| | - Wen Yang
- Department of Orthopedics, The Eighth Affiliated Hospital of Sun Yat-sen University, No. 3025 Shennan Zhong Road, Shenzhen, 518033, Guangdong, China
| | - Hongyu Li
- Department of Orthopedics, The Eighth Affiliated Hospital of Sun Yat-sen University, No. 3025 Shennan Zhong Road, Shenzhen, 518033, Guangdong, China
| | - Yixuan Lu
- Center for Biotherapy, The Eighth Affiliated Hospital of Sun Yat-sen University, No. 3025 Shennan Zhong Road, Shenzhen, 518033, Guangdong, China
| | - Biao Yang
- Department of Orthopedics, The Eighth Affiliated Hospital of Sun Yat-sen University, No. 3025 Shennan Zhong Road, Shenzhen, 518033, Guangdong, China
| | - Yinliang Liu
- Department of Orthopedics, The Eighth Affiliated Hospital of Sun Yat-sen University, No. 3025 Shennan Zhong Road, Shenzhen, 518033, Guangdong, China
| | - Yanfeng Wu
- Center for Biotherapy, The Eighth Affiliated Hospital of Sun Yat-sen University, No. 3025 Shennan Zhong Road, Shenzhen, 518033, Guangdong, China.
| | - Huiyong Shen
- Department of Orthopedics, The Eighth Affiliated Hospital of Sun Yat-sen University, No. 3025 Shennan Zhong Road, Shenzhen, 518033, Guangdong, China.
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8
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Pandey GK, Vadlamudi S, Currin KW, Moxley AH, Nicholas JC, McAfee JC, Broadaway KA, Mohlke KL. Liver regulatory mechanisms of noncoding variants at lipid and metabolic trait loci. HGG ADVANCES 2024; 5:100275. [PMID: 38297830 PMCID: PMC10881423 DOI: 10.1016/j.xhgg.2024.100275] [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: 10/01/2023] [Revised: 01/23/2024] [Accepted: 01/23/2024] [Indexed: 02/02/2024] Open
Abstract
Genome-wide association studies (GWASs) have identified hundreds of risk loci for liver disease and lipid-related metabolic traits, although identifying their target genes and molecular mechanisms remains challenging. We predicted target genes at GWAS signals by integrating them with molecular quantitative trait loci for liver gene expression (eQTL) and liver chromatin accessibility QTL (caQTL). We predicted specific regulatory caQTL variants at four GWAS signals located near EFHD1, LITAF, ZNF329, and GPR180. Using transcriptional reporter assays, we determined that caQTL variants rs13395911, rs11644920, rs34003091, and rs9556404 exhibit allelic differences in regulatory activity. We also performed a protein binding assay for rs13395911 and found that FOXA2 differentially interacts with the alleles of rs13395911. For variants rs13395911 and rs11644920 in putative enhancer regulatory elements, we used CRISPRi to demonstrate that repression of the enhancers altered the expression of the predicted target and/or nearby genes. Repression of the element at rs13395911 reduced the expression of EFHD1, and repression of the element at rs11644920 reduced the expression of LITAF, SNN, and TXNDC11. Finally, we showed that EFHD1 is a metabolically active gene in HepG2 cells. Together, these results provide key steps to connect genetic variants with cellular mechanisms and help elucidate the causes of liver disease.
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Affiliation(s)
- Gautam K Pandey
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA
| | | | - Kevin W Currin
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Anne H Moxley
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Jayna C Nicholas
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Jessica C McAfee
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA; UNC Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - K Alaine Broadaway
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Karen L Mohlke
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA.
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9
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Lanfranchi M, Yandiev S, Meyer-Dilhet G, Ellouze S, Kerkhofs M, Dos Reis R, Garcia A, Blondet C, Amar A, Kneppers A, Polvèche H, Plassard D, Foretz M, Viollet B, Sakamoto K, Mounier R, Bourgeois CF, Raineteau O, Goillot E, Courchet J. The AMPK-related kinase NUAK1 controls cortical axons branching by locally modulating mitochondrial metabolic functions. Nat Commun 2024; 15:2487. [PMID: 38514619 PMCID: PMC10958033 DOI: 10.1038/s41467-024-46146-6] [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: 03/25/2023] [Accepted: 02/15/2024] [Indexed: 03/23/2024] Open
Abstract
The cellular mechanisms underlying axonal morphogenesis are essential to the formation of functional neuronal networks. We previously identified the autism-linked kinase NUAK1 as a central regulator of axon branching through the control of mitochondria trafficking. However, (1) the relationship between mitochondrial position, function and axon branching and (2) the downstream effectors whereby NUAK1 regulates axon branching remain unknown. Here, we report that mitochondria recruitment to synaptic boutons supports collateral branches stabilization rather than formation in mouse cortical neurons. NUAK1 deficiency significantly impairs mitochondrial metabolism and axonal ATP concentration, and upregulation of mitochondrial function is sufficient to rescue axonal branching in NUAK1 null neurons in vitro and in vivo. Finally, we found that NUAK1 regulates axon branching through the mitochondria-targeted microprotein BRAWNIN. Our results demonstrate that NUAK1 exerts a dual function during axon branching through its ability to control mitochondrial distribution and metabolic activity.
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Affiliation(s)
- Marine Lanfranchi
- Univ Lyon, Université Claude Bernard Lyon 1, CNRS, Inserm, Physiopathologie et Génétique du Neurone et du Muscle, UMR5261, U1315, Institut NeuroMyoGène, 69008, Lyon, France
| | - Sozerko Yandiev
- Univ Lyon, Université Claude Bernard Lyon 1, CNRS, Inserm, Physiopathologie et Génétique du Neurone et du Muscle, UMR5261, U1315, Institut NeuroMyoGène, 69008, Lyon, France
| | - Géraldine Meyer-Dilhet
- Univ Lyon, Université Claude Bernard Lyon 1, CNRS, Inserm, Physiopathologie et Génétique du Neurone et du Muscle, UMR5261, U1315, Institut NeuroMyoGène, 69008, Lyon, France
| | - Salma Ellouze
- Univ Lyon, Université Claude Bernard Lyon 1, CNRS, Inserm, Physiopathologie et Génétique du Neurone et du Muscle, UMR5261, U1315, Institut NeuroMyoGène, 69008, Lyon, France
- Univ Lyon, Université Claude Bernard Lyon 1, Inserm, Stem Cell and Brain Research Institute U1208, 69500, Bron, France
| | - Martijn Kerkhofs
- Univ Lyon, Université Claude Bernard Lyon 1, CNRS, Inserm, Physiopathologie et Génétique du Neurone et du Muscle, UMR5261, U1315, Institut NeuroMyoGène, 69008, Lyon, France
| | - Raphael Dos Reis
- Univ Lyon, Université Claude Bernard Lyon 1, CNRS, Inserm, Physiopathologie et Génétique du Neurone et du Muscle, UMR5261, U1315, Institut NeuroMyoGène, 69008, Lyon, France
| | - Audrey Garcia
- Univ Lyon, Université Claude Bernard Lyon 1, CNRS, Inserm, Physiopathologie et Génétique du Neurone et du Muscle, UMR5261, U1315, Institut NeuroMyoGène, 69008, Lyon, France
| | - Camille Blondet
- Univ Lyon, Université Claude Bernard Lyon 1, CNRS, Inserm, Physiopathologie et Génétique du Neurone et du Muscle, UMR5261, U1315, Institut NeuroMyoGène, 69008, Lyon, France
| | - Alizée Amar
- Univ Lyon, Université Claude Bernard Lyon 1, CNRS, Inserm, Physiopathologie et Génétique du Neurone et du Muscle, UMR5261, U1315, Institut NeuroMyoGène, 69008, Lyon, France
| | - Anita Kneppers
- Univ Lyon, Université Claude Bernard Lyon 1, CNRS, Inserm, Physiopathologie et Génétique du Neurone et du Muscle, UMR5261, U1315, Institut NeuroMyoGène, 69008, Lyon, France
| | - Hélène Polvèche
- Laboratoire de Biologie et Modelisation de la Cellule, Ecole Normale Superieure de Lyon, CNRS, UMR 5239, Inserm, U1293, Universite Claude Bernard Lyon 1, 46 allée d'Italie F-69364, Lyon, France
- CECS/AFM, I-STEM, 28 rue Henri Desbruères, F-91100, Corbeil-Essonnes, France
| | - Damien Plassard
- CNRS UMR 7104, INSERM U1258, GenomEast Platform, Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), Université de Strasbourg, Illkirch, France
| | - Marc Foretz
- Université Paris Cité, CNRS, Inserm, Institut Cochin, Paris, France
| | - Benoit Viollet
- Université Paris Cité, CNRS, Inserm, Institut Cochin, Paris, France
| | - Kei Sakamoto
- Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, 2200, Denmark
| | - Rémi Mounier
- Univ Lyon, Université Claude Bernard Lyon 1, CNRS, Inserm, Physiopathologie et Génétique du Neurone et du Muscle, UMR5261, U1315, Institut NeuroMyoGène, 69008, Lyon, France
| | - Cyril F Bourgeois
- Laboratoire de Biologie et Modelisation de la Cellule, Ecole Normale Superieure de Lyon, CNRS, UMR 5239, Inserm, U1293, Universite Claude Bernard Lyon 1, 46 allée d'Italie F-69364, Lyon, France
| | - Olivier Raineteau
- Univ Lyon, Université Claude Bernard Lyon 1, Inserm, Stem Cell and Brain Research Institute U1208, 69500, Bron, France
| | - Evelyne Goillot
- Univ Lyon, Université Claude Bernard Lyon 1, CNRS, Inserm, Physiopathologie et Génétique du Neurone et du Muscle, UMR5261, U1315, Institut NeuroMyoGène, 69008, Lyon, France
| | - Julien Courchet
- Univ Lyon, Université Claude Bernard Lyon 1, CNRS, Inserm, Physiopathologie et Génétique du Neurone et du Muscle, UMR5261, U1315, Institut NeuroMyoGène, 69008, Lyon, France.
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10
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Xie Y, Jiang H. The exploration of mitochondrial-related features helps to reveal the prognosis and immunotherapy methods of colorectal cancer. Cancer Rep (Hoboken) 2024; 7:e1914. [PMID: 37903487 PMCID: PMC10809275 DOI: 10.1002/cnr2.1914] [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: 07/06/2023] [Revised: 09/01/2023] [Accepted: 09/29/2023] [Indexed: 11/01/2023] Open
Abstract
BACKGROUND Cancer cell survival, proliferation, and metabolism are all intertwined with mitochondria. However, a complete description of how the features of mitochondria relate to the tumor microenvironment (TME) and immunological landscape of colorectal cancer (CRC) has yet to be made. We performed subgroup analysis on CRC patient data obtained from the databases using non-negative matrix factorization (NMF) clustering. Construct a prognostic model using the mitochondrial-related gene (MRG) risk score, and then compare it to other models for accuracy. Comprehensive analyses of the risk score, in conjunction with the TME and immune landscape, were performed, and the relationship between the model and different types of cell death, radiation and chemotherapy, and drug resistance was investigated. Results from immunohistochemistry and single-cell sequencing were utilized to verify the model genes, and a drug sensitivity analysis was conducted to evaluate possible therapeutic medicines. The pan-cancer analysis is utilized to further investigate the role of genes in a wider range of malignancies. METHODS AND RESULTS We found that CRC patients based on MRG were divided into two groups with significant differences in survival outcomes and TME between groups. The predictive power of the risk score was further shown by building a prognostic model and testing it extensively in both internal and external cohorts. Multiple immune therapeutic responses and the expression of immunological checkpoints demonstrate that the risk score is connected to immunotherapy success. The correlation analysis of the risk score provide more ideas and guidance for prognostic models in clinical treatment. CONCLUSION The TME, immune cell infiltration, and responsiveness to immunotherapy in CRC were all thoroughly evaluated on the basis of MRG features. The comparative validation of multiple queues and models combined with clinical data ensures the effectiveness and clinical practicality of MRG features. Our studies help clinicians create individualized treatment programs for individuals with cancer.
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Affiliation(s)
- Yun‐hui Xie
- Center of Gastrointestinal and Minimally Invasive Surgery, Department of General Surgery, The Third People's Hospital of ChengduAffiliated Hospital of Southwest Jiaotong UniversityChengduChina
| | - Hui‐zhong Jiang
- College of GraduateGuizhou University of Traditional Chinese MedicineGuiyangChina
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11
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Zhao B, Wang S, Xue L, Wang Q, Liu Y, Xu Q, Xue Q. EFHD1 expression is correlated with tumor-infiltrating neutrophils and predicts prognosis in gastric cancer. Heliyon 2023; 9:e21062. [PMID: 37876466 PMCID: PMC10590971 DOI: 10.1016/j.heliyon.2023.e21062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2023] [Revised: 10/09/2023] [Accepted: 10/13/2023] [Indexed: 10/26/2023] Open
Abstract
Background Gastric cancer (GC) ranks third in terms of mortality worldwide. The tumor microenvironment is critical for the progression of gastric cancer. This study investigated the association between EF-hand domain containing 1 (EFHD1) expression and its clinical significance in the tumor microenvironment (TME) of gastric cancer. Methods We used bioinformatic analyses to assess the relevance of EFHD1 mRNA in the TME of gastric carcinoma tissues and its relationship with clinical features. Therefore, we performed multiplex immunohistochemistry analyses to determine the potential role of the EFHD1 protein in the TME of gastric cancer. Results EFHD1 expression increased dramatically in gastric cancer tissues compared to levels in non-cancerous tissue samples (t = 6.246, P < 0.001). The EFHD1 protein presentation was associated with invasion depth (χ2 = 19.120, P < 0.001) and TNM stages (χ2 = 14.468, P = 0.002). Notably, EFHD1 protein expression was significantly related to CD66b + neutrophil infiltration of the intratumoral (r = 0.420, P < 0.001) and stromal (r = 0.367, P < 0.001) TME in gastric cancer. Additionally, Cox regression analysis revealed that EFHD1 was an independent prognostic predictor (hazard ratio [HR] = 2.262, P < 0.001) in patients with gastric cancer. Conclusions Our study revealed the pattern of EFHD1 overexpression in the TME of patients with gastric cancer and demonstrated its utility as a biomarker for unfavorable clinical outcomes, thereby providing a potential immunotherapy target.
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Affiliation(s)
- Bin Zhao
- Department of Pathology, Nantong Tumor Hospital, Nantong Fifth People's Hospital, Affiliated Tumor Hospital of Nantong University, Jiangsu, 226361, China
| | - Shanshan Wang
- Department of General Surgery, The Affiliated Suqian Hospital of Xuzhou Medical University and Nanjing Drum Tower Hospital Group Suqian Hospital, Suqian, 223800, China
| | - Li Xue
- Department of Pathology, Nantong Tumor Hospital, Nantong Fifth People's Hospital, Affiliated Tumor Hospital of Nantong University, Jiangsu, 226361, China
| | - Qingqing Wang
- Department of General Surgery, Affiliated Hospital of Nantong University & Medical School of Nantong University, Jiangsu, 226001, China
| | - Yushan Liu
- Department of Pathology, Nantong Tumor Hospital, Nantong Fifth People's Hospital, Affiliated Tumor Hospital of Nantong University, Jiangsu, 226361, China
| | - Qiang Xu
- Department of Pathology, Nantong Tumor Hospital, Nantong Fifth People's Hospital, Affiliated Tumor Hospital of Nantong University, Jiangsu, 226361, China
| | - Qiu Xue
- Department of General Surgery, Nantong Tumor Hospital, Nantong Fifth People's Hospital, Affiliated Tumor Hospital of Nantong University, Jiangsu, 226361, China
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12
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Mun SA, Park J, Kang JY, Park T, Jin M, Yang J, Eom SH. Structural and biochemical insights into Zn 2+-bound EF-hand proteins, EFhd1 and EFhd2. IUCRJ 2023; 10:233-245. [PMID: 36862489 PMCID: PMC9980392 DOI: 10.1107/s2052252523001501] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Accepted: 02/20/2023] [Indexed: 06/18/2023]
Abstract
EF-hand proteins, which contain a Ca2+-binding EF-hand motif, are involved in regulating diverse cellular functions. Ca2+ binding induces conformational changes that modulate the activities of EF-hand proteins. Moreover, these proteins occasionally modify their activities by coordinating metals other than Ca2+, including Mg2+, Pb2+ and Zn2+, within their EF-hands. EFhd1 and EFhd2 are homologous EF-hand proteins with similar structures. Although separately localized within cells, both are actin-binding proteins that modulate F-actin rearrangement through Ca2+-independent actin-binding and Ca2+-dependent actin-bundling activity. Although Ca2+ is known to affect the activities of EFhd1 and EFhd2, it is not known whether their actin-related activities are affected by other metals. Here, the crystal structures of the EFhd1 and EFhd2 core domains coordinating Zn2+ ions within their EF-hands are reported. The presence of Zn2+ within EFhd1 and EFhd2 was confirmed by analyzing anomalous signals and the difference between anomalous signals using data collected at the peak positions as well as low-energy remote positions at the Zn K-edge. EFhd1 and EFhd2 were also found to exhibit Zn2+-independent actin-binding and Zn2+-dependent actin-bundling activity. This suggests the actin-related activities of EFhd1 and EFhd2 could be regulated by Zn2+ as well as Ca2+.
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Affiliation(s)
- Sang A Mun
- School of Life Sciences, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea
- Steitz Center for Structural Biology, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea
| | - Jongseo Park
- School of Life Sciences, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea
- Steitz Center for Structural Biology, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea
| | - Jung Youn Kang
- School of Life Sciences, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea
- Steitz Center for Structural Biology, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea
| | - Taein Park
- Steitz Center for Structural Biology, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea
- Department of Chemistry, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea
| | - Minwoo Jin
- School of Life Sciences, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea
- Steitz Center for Structural Biology, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea
| | - Jihyeong Yang
- School of Life Sciences, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea
- Steitz Center for Structural Biology, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea
| | - Soo Hyun Eom
- School of Life Sciences, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea
- Steitz Center for Structural Biology, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea
- Department of Chemistry, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea
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13
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Meng K, Hu Y, Wang D, Li Y, Shi F, Lu J, Wang Y, Cao Y, Zhang CZ, He QY. EFHD1, a novel mitochondrial regulator of tumor metastasis in clear cell renal cell carcinoma. Cancer Sci 2023; 114:2029-2040. [PMID: 36747492 PMCID: PMC10154798 DOI: 10.1111/cas.15749] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 01/27/2023] [Accepted: 01/31/2023] [Indexed: 02/08/2023] Open
Abstract
The biological function of many mitochondrial proteins in mechanistic detail has not been well investigated in clear cell renal cell carcinoma (ccRCC). A seven-mitochondrial-gene signature was generated by Lasso regression analysis to improve the prediction of prognosis of patients with ccRCC, using The Cancer Genome Atlas and Clinical Proteomic Tumor Analysis Consortium cohort. Among those seven genes, EFHD1 is less studied and its role in the progression of ccRCC remains unknown. The decreased expression of EFHD1 was validated in clinical samples and was correlated with unfavorable outcome. Overexpression of EFHD1 in ccRCC cells resulted in the reduction of mitochondrial Ca2+ , and the inhibition of cell migration and invasion in vitro and tumor metastasis in vivo. Mechanistically, EFHD1 physically bound to the core mitochondrial calcium transporter (mitochondrial calcium uniporter, MCU) through its N-terminal domain. The interaction between EFHD1 and MCU suppressed the uptake of Ca2+ into mitochondria, and deactivated the Hippo/YAP signaling pathway. Further data revealed that the ectopic expression of EFHD1 upregulated STARD13 to enhance the phosphorylation of YAP protein at Ser-127. The knockdown of STARD13 or the overexpression of MCU partly abrogated the EFHD1-mediated induction of phosphorylation of YAP at Ser-127 and suppression of cell migration. Taken together, the newly identified EFHD1-MCU-STARD13 axis participates in the modulation of the Hippo/YAP pathway and serves as a novel regulator in the progression of ccRCC.
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Affiliation(s)
- Kun Meng
- MOE Key Laboratory of Tumor Molecular Biology and Key Laboratory of Functional Protein Research of Guangdong Higher Education Institutes, Institute of Life and Health Engineering, Jinan University, Guangzhou, China.,The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Yuyu Hu
- MOE Key Laboratory of Tumor Molecular Biology and Key Laboratory of Functional Protein Research of Guangdong Higher Education Institutes, Institute of Life and Health Engineering, Jinan University, Guangzhou, China
| | - Dingkang Wang
- MOE Key Laboratory of Tumor Molecular Biology and Key Laboratory of Functional Protein Research of Guangdong Higher Education Institutes, Institute of Life and Health Engineering, Jinan University, Guangzhou, China
| | - Yuying Li
- MOE Key Laboratory of Tumor Molecular Biology and Key Laboratory of Functional Protein Research of Guangdong Higher Education Institutes, Institute of Life and Health Engineering, Jinan University, Guangzhou, China
| | - Fujin Shi
- MOE Key Laboratory of Tumor Molecular Biology and Key Laboratory of Functional Protein Research of Guangdong Higher Education Institutes, Institute of Life and Health Engineering, Jinan University, Guangzhou, China
| | - Jiangli Lu
- Department of Pathology, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Yang Wang
- MOE Key Laboratory of Tumor Molecular Biology and Key Laboratory of Functional Protein Research of Guangdong Higher Education Institutes, Institute of Life and Health Engineering, Jinan University, Guangzhou, China
| | - Yun Cao
- Department of Pathology, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Chris Zhiyi Zhang
- MOE Key Laboratory of Tumor Molecular Biology and Key Laboratory of Functional Protein Research of Guangdong Higher Education Institutes, Institute of Life and Health Engineering, Jinan University, Guangzhou, China
| | - Qing-Yu He
- MOE Key Laboratory of Tumor Molecular Biology and Key Laboratory of Functional Protein Research of Guangdong Higher Education Institutes, Institute of Life and Health Engineering, Jinan University, Guangzhou, China.,The First Affiliated Hospital of Jinan University, Guangzhou, China
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14
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Leng L, Ma J, Zhang PP, Xu SC, Li X, Jin Y, Cai J, Tang R, Zhao L, He ZC, Li MS, Zhang H, Zhou LR, Wu ZH, Li TR, Zhu YP, Wang YJ, Wu HB, Ping YF, Yao XH, Zhu CH, Guo HT, Tan LY, Liang ZY, Bian XW, Zhang SY. Spatial region-resolved proteome map reveals mechanism of COVID-19-associated heart injury. Cell Rep 2022; 39:110955. [PMID: 35679865 PMCID: PMC9135696 DOI: 10.1016/j.celrep.2022.110955] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 04/28/2022] [Accepted: 05/23/2022] [Indexed: 11/28/2022] Open
Abstract
Direct myocardial and vascular injuries due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection-driven inflammation is the leading cause of acute cardiac injury associated with coronavirus disease 2019 (COVID-19). However, in-depth knowledge of the injury characteristics of the heart affected by inflammation is lacking. In this study, using a quantitative spatial proteomics strategy that combines comparative anatomy, laser-capture microdissection, and histological examination, we establish a region-resolved proteome map of the myocardia and microvessels with obvious inflammatory cells from hearts of patients with COVID-19. A series of molecular dysfunctions of myocardia and microvessels is observed in different cardiac regions. The myocardia and microvessels of the left atrial are the most susceptible to virus infection and inflammatory storm, suggesting more attention should be paid to the lesion and treatment of these two parts. These results can guide in improving clinical treatments for cardiovascular diseases associated with COVID-19.
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Affiliation(s)
- Ling Leng
- Stem Cell and Regenerative Medicine Lab, Department of Medical Science Research Center, State Key Laboratory of Complex Severe and Rare Diseases, Translational Medicine Center, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China.
| | - Jie Ma
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing 102206, China
| | - Pei-Pei Zhang
- Department of Pathology, The First Hospital Affiliated to University of Science and Technology of China (USTC), Intelligent Pathology Institute, Division of Life Sciences and Medicine, USTC, Hefei, Anhui 230036, China; Institute of Pathology and Southwest Cancer Center, Southwest Hospital, Third Military Medical University (Army Medical University), Key Laboratory of Tumor Immunopathology, Ministry of Education of China, Chongqing 400038, China; Department of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Si-Chi Xu
- Department of Cardiology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Xiao Li
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing 102206, China
| | - Ye Jin
- Department of Cardiology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Jun Cai
- Department of Pathology, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Rui Tang
- Institute of Pathology and Southwest Cancer Center, Southwest Hospital, Third Military Medical University (Army Medical University), Key Laboratory of Tumor Immunopathology, Ministry of Education of China, Chongqing 400038, China
| | - Lei Zhao
- Department of Pathology, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Zhi-Cheng He
- Institute of Pathology and Southwest Cancer Center, Southwest Hospital, Third Military Medical University (Army Medical University), Key Laboratory of Tumor Immunopathology, Ministry of Education of China, Chongqing 400038, China
| | - Man-Sheng Li
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing 102206, China
| | - Hui Zhang
- Department of Pathology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Liang-Rui Zhou
- Department of Pathology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Zhi-Hong Wu
- Stem Cell and Regenerative Medicine Lab, Department of Medical Science Research Center, State Key Laboratory of Complex Severe and Rare Diseases, Translational Medicine Center, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Tian-Ran Li
- Institute of Pathology and Southwest Cancer Center, Southwest Hospital, Third Military Medical University (Army Medical University), Key Laboratory of Tumor Immunopathology, Ministry of Education of China, Chongqing 400038, China
| | - Yun-Ping Zhu
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing 102206, China; Basic Medical School, Anhui Medical University, Anhui 230032, China
| | - Yu-Jie Wang
- Stem Cell and Regenerative Medicine Lab, Department of Medical Science Research Center, State Key Laboratory of Complex Severe and Rare Diseases, Translational Medicine Center, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Hai-Bo Wu
- Department of Pathology, The First Hospital Affiliated to University of Science and Technology of China (USTC), Intelligent Pathology Institute, Division of Life Sciences and Medicine, USTC, Hefei, Anhui 230036, China
| | - Yi-Fang Ping
- Institute of Pathology and Southwest Cancer Center, Southwest Hospital, Third Military Medical University (Army Medical University), Key Laboratory of Tumor Immunopathology, Ministry of Education of China, Chongqing 400038, China
| | - Xiao-Hong Yao
- Institute of Pathology and Southwest Cancer Center, Southwest Hospital, Third Military Medical University (Army Medical University), Key Laboratory of Tumor Immunopathology, Ministry of Education of China, Chongqing 400038, China
| | - Chu-Hong Zhu
- Department of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Hai-Tao Guo
- Institute of Pathology and Southwest Cancer Center, Southwest Hospital, Third Military Medical University (Army Medical University), Key Laboratory of Tumor Immunopathology, Ministry of Education of China, Chongqing 400038, China
| | - Le-Yong Tan
- Institute of Pathology and Southwest Cancer Center, Southwest Hospital, Third Military Medical University (Army Medical University), Key Laboratory of Tumor Immunopathology, Ministry of Education of China, Chongqing 400038, China
| | - Zhi-Yong Liang
- Department of Pathology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China.
| | - Xiu-Wu Bian
- Department of Pathology, The First Hospital Affiliated to University of Science and Technology of China (USTC), Intelligent Pathology Institute, Division of Life Sciences and Medicine, USTC, Hefei, Anhui 230036, China; Institute of Pathology and Southwest Cancer Center, Southwest Hospital, Third Military Medical University (Army Medical University), Key Laboratory of Tumor Immunopathology, Ministry of Education of China, Chongqing 400038, China.
| | - Shu-Yang Zhang
- Department of Cardiology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China; Tsinghua-Peking Center for Life Sciences, Tsinghua University, Beijing 100084, China.
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15
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Eberhardt DR, Lee SH, Yin X, Balynas AM, Rekate EC, Kraiss JN, Lang MJ, Walsh MA, Streiff ME, Corbin AC, Li Y, Funai K, Sachse FB, Chaudhuri D. EFHD1 ablation inhibits cardiac mitoflash activation and protects cardiomyocytes from ischemia. J Mol Cell Cardiol 2022; 167:1-14. [PMID: 35304170 PMCID: PMC9107497 DOI: 10.1016/j.yjmcc.2022.03.002] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Revised: 02/23/2022] [Accepted: 03/11/2022] [Indexed: 12/07/2022]
Abstract
Altered levels of intracellular calcium (Ca2+) are a highly prevalent feature in different forms of cardiac injury, producing changes in contractility, arrhythmias, and mitochondrial dysfunction. In cardiac ischemia-reperfusion injury, mitochondrial Ca2+ overload leads to pathological production of reactive oxygen species (ROS), activates the permeability transition, and cardiomyocyte death. Here we investigated the cardiac phenotype caused by deletion of EF-hand domain-containing protein D1 (Efhd1-/-), a Ca2+-binding mitochondrial protein whose function is poorly understood. Efhd1-/- mice are viable and have no adverse cardiac phenotypes. They feature reductions in basal ROS levels and mitoflash events, both important precursors for mitochondrial injury, though cardiac mitochondria have normal susceptibility to Ca2+ overload. Notably, we also find that Efhd1-/- mice and their cardiomyocytes are resistant to hypoxic injury.
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Affiliation(s)
- David R Eberhardt
- Nora Eccles Harrison Cardiovascular Research and Training Institute (CVRTI), University of Utah, United States of America
| | - Sandra H Lee
- Nora Eccles Harrison Cardiovascular Research and Training Institute (CVRTI), University of Utah, United States of America
| | - Xue Yin
- Nora Eccles Harrison Cardiovascular Research and Training Institute (CVRTI), University of Utah, United States of America
| | - Anthony M Balynas
- Nora Eccles Harrison Cardiovascular Research and Training Institute (CVRTI), University of Utah, United States of America
| | - Emma C Rekate
- Nora Eccles Harrison Cardiovascular Research and Training Institute (CVRTI), University of Utah, United States of America
| | - Jackie N Kraiss
- Nora Eccles Harrison Cardiovascular Research and Training Institute (CVRTI), University of Utah, United States of America
| | - Marisa J Lang
- Diabetes & Metabolism Research Center, University of Utah, United States of America
| | - Maureen A Walsh
- Diabetes & Metabolism Research Center, University of Utah, United States of America
| | - Molly E Streiff
- Nora Eccles Harrison Cardiovascular Research and Training Institute (CVRTI), University of Utah, United States of America; Department of Biomedical Engineering, University of Utah, United States of America
| | - Andrea C Corbin
- Nora Eccles Harrison Cardiovascular Research and Training Institute (CVRTI), University of Utah, United States of America; Department of Biomedical Engineering, University of Utah, United States of America
| | - Ying Li
- Nutrition and Integrative Physiology, University of Utah, Salt Lake City, UT, United States of America
| | - Katsuhiko Funai
- Diabetes & Metabolism Research Center, University of Utah, United States of America
| | - Frank B Sachse
- Nora Eccles Harrison Cardiovascular Research and Training Institute (CVRTI), University of Utah, United States of America; Department of Biomedical Engineering, University of Utah, United States of America
| | - Dipayan Chaudhuri
- Nora Eccles Harrison Cardiovascular Research and Training Institute (CVRTI), University of Utah, United States of America; Department of Biomedical Engineering, University of Utah, United States of America; Department of Internal Medicine, Division of Cardiovascular Medicine, University of Utah, Salt Lake City, UT, United States of America.
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16
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Mun SA, Park J, Park KR, Lee Y, Kang JY, Park T, Jin M, Yang J, Jun CD, Eom SH. Structural and Biochemical Characterization of EFhd1/Swiprosin-2, an Actin-Binding Protein in Mitochondria. Front Cell Dev Biol 2021; 8:628222. [PMID: 33537316 PMCID: PMC7848108 DOI: 10.3389/fcell.2020.628222] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Accepted: 12/21/2020] [Indexed: 12/21/2022] Open
Abstract
Ca2+ regulates several cellular functions, including signaling events, energy production, and cell survival. These cellular processes are mediated by Ca2+-binding proteins, such as EF-hand superfamily proteins. Among the EF-hand superfamily proteins, allograft inflammatory factor-1 (AIF-1) and swiprosin-1/EF-hand domain-containing protein 2 (EFhd2) are cytosolic actin-binding proteins. AIF-1 modulates the cytoskeleton and increases the migration of immune cells. EFhd2 is also a cytoskeletal protein implicated in immune cell activation and brain cell functions. EFhd1, a mitochondrial fraternal twin of EFhd2, mediates neuronal and pro-/pre-B cell differentiation and mitoflash activation. Although EFhd1 is important for maintaining mitochondrial morphology and energy synthesis, its mechanism of action remains unclear. Here, we report the crystal structure of the EFhd1 core domain comprising a C-terminus of a proline-rich region, two EF-hand domains, and a ligand mimic helix. Structural comparisons of EFhd1, EFhd2, and AIF-1 revealed similarities in their overall structures. In the structure of the EFhd1 core domain, two Zn2+ ions were observed at the interface of the crystal contact, suggesting the possibility of Zn2+-mediated multimerization. In addition, we found that EFhd1 has Ca2+-independent β-actin-binding and Ca2+-dependent β-actin-bundling activities. These findings suggest that EFhd1, an actin-binding and -bundling protein in the mitochondria, may contribute to the Ca2+-dependent regulation of mitochondrial morphology and energy synthesis.
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Affiliation(s)
- Sang A Mun
- School of Life Sciences, Gwangju Institute of Science and Technology, Gwangju, South Korea.,Steitz Center for Structural Biology, Gwangju Institute of Science and Technology, Gwangju, South Korea
| | - Jongseo Park
- School of Life Sciences, Gwangju Institute of Science and Technology, Gwangju, South Korea.,Steitz Center for Structural Biology, Gwangju Institute of Science and Technology, Gwangju, South Korea
| | - Kyoung Ryoung Park
- School of Life Sciences, Gwangju Institute of Science and Technology, Gwangju, South Korea.,Steitz Center for Structural Biology, Gwangju Institute of Science and Technology, Gwangju, South Korea.,NuclixBio, Seoul, South Korea
| | - Youngjin Lee
- School of Life Sciences, Gwangju Institute of Science and Technology, Gwangju, South Korea.,Steitz Center for Structural Biology, Gwangju Institute of Science and Technology, Gwangju, South Korea.,Infection and Immunity Research Laboratory, Metabolic Regulation Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, South Korea
| | - Jung Youn Kang
- School of Life Sciences, Gwangju Institute of Science and Technology, Gwangju, South Korea.,Steitz Center for Structural Biology, Gwangju Institute of Science and Technology, Gwangju, South Korea
| | - Taein Park
- Steitz Center for Structural Biology, Gwangju Institute of Science and Technology, Gwangju, South Korea.,Department of Chemistry, Gwangju Institute of Science and Technology, Gwangju, South Korea
| | - Minwoo Jin
- School of Life Sciences, Gwangju Institute of Science and Technology, Gwangju, South Korea.,Steitz Center for Structural Biology, Gwangju Institute of Science and Technology, Gwangju, South Korea
| | - Jihyeong Yang
- School of Life Sciences, Gwangju Institute of Science and Technology, Gwangju, South Korea.,Steitz Center for Structural Biology, Gwangju Institute of Science and Technology, Gwangju, South Korea
| | - Chang-Duk Jun
- School of Life Sciences, Gwangju Institute of Science and Technology, Gwangju, South Korea
| | - Soo Hyun Eom
- School of Life Sciences, Gwangju Institute of Science and Technology, Gwangju, South Korea.,Steitz Center for Structural Biology, Gwangju Institute of Science and Technology, Gwangju, South Korea.,Department of Chemistry, Gwangju Institute of Science and Technology, Gwangju, South Korea
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17
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Hoersting AK, Schmucker D. Axonal branch patterning and neuronal shape diversity: roles in developmental circuit assembly: Axonal branch patterning and neuronal shape diversity in developmental circuit assembly. Curr Opin Neurobiol 2020; 66:158-165. [PMID: 33232861 DOI: 10.1016/j.conb.2020.10.019] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Revised: 10/21/2020] [Accepted: 10/26/2020] [Indexed: 02/06/2023]
Abstract
Recent progress in human genetics and single cell sequencing rapidly expands the list of molecular factors that offer important new contributions to our understanding of brain wiring. Yet many new molecular factors are being discovered that have never been studied in the context of neuronal circuit development. This is clearly asking for increased efforts to better understand the developmental mechanisms of circuit assembly [1]. Moreover, recent studies characterizing the developmental causes of some psychiatric diseases show impressive progress in reaching cellular resolution in their analysis. They provide concrete support emphasizing the importance of axonal branching and synapse formation as a hotspot for potential defects. Inspired by these new studies we will discuss progress but also challenges in understanding how neurite branching and neuronal shape diversity itself impacts on specificity of neuronal circuit assembly. We discuss the idea that neuronal shape acquisition itself is a key specificity factor in neuronal circuit assembly.
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Affiliation(s)
| | - Dietmar Schmucker
- Life and Medical Sciences Institute (LIMES), University Bonn, Bonn, Germany; Center for Brain and Disease Research, VIB Leuven, University Leuven, Belgium.
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