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Lindovsky J, Nichtova Z, Dragano NRV, Pajuelo Reguera D, Prochazka J, Fuchs H, Marschall S, Gailus-Durner V, Sedlacek R, Hrabě de Angelis M, Rozman J, Spielmann N. A review of standardized high-throughput cardiovascular phenotyping with a link to metabolism in mice. Mamm Genome 2023; 34:107-122. [PMID: 37326672 PMCID: PMC10290615 DOI: 10.1007/s00335-023-09997-w] [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: 04/20/2023] [Accepted: 05/03/2023] [Indexed: 06/17/2023]
Abstract
Cardiovascular diseases cause a high mortality rate worldwide and represent a major burden for health care systems. Experimental rodent models play a central role in cardiovascular disease research by effectively simulating human cardiovascular diseases. Using mice, the International Mouse Phenotyping Consortium (IMPC) aims to target each protein-coding gene and phenotype multiple organ systems in single-gene knockout models by a global network of mouse clinics. In this review, we summarize the current advances of the IMPC in cardiac research and describe in detail the diagnostic requirements of high-throughput electrocardiography and transthoracic echocardiography capable of detecting cardiac arrhythmias and cardiomyopathies in mice. Beyond that, we are linking metabolism to the heart and describing phenotypes that emerge in a set of known genes, when knocked out in mice, such as the leptin receptor (Lepr), leptin (Lep), and Bardet-Biedl syndrome 5 (Bbs5). Furthermore, we are presenting not yet associated loss-of-function genes affecting both, metabolism and the cardiovascular system, such as the RING finger protein 10 (Rfn10), F-box protein 38 (Fbxo38), and Dipeptidyl peptidase 8 (Dpp8). These extensive high-throughput data from IMPC mice provide a promising opportunity to explore genetics causing metabolic heart disease with an important translational approach.
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Affiliation(s)
- Jiri Lindovsky
- Czech Centre for Phenogenomics, Institute of Molecular Genetics, Czech Academy of Sciences, Prumyslova 595, 252 50 Vestec, Czech Republic
| | - Zuzana Nichtova
- Czech Centre for Phenogenomics, Institute of Molecular Genetics, Czech Academy of Sciences, Prumyslova 595, 252 50 Vestec, Czech Republic
| | - Nathalia R. V. Dragano
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Center Munich, German Research Center for Environmental Health, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany
| | - David Pajuelo Reguera
- Czech Centre for Phenogenomics, Institute of Molecular Genetics, Czech Academy of Sciences, Prumyslova 595, 252 50 Vestec, Czech Republic
| | - Jan Prochazka
- Czech Centre for Phenogenomics, Institute of Molecular Genetics, Czech Academy of Sciences, Prumyslova 595, 252 50 Vestec, Czech Republic
| | - Helmut Fuchs
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Center Munich, German Research Center for Environmental Health, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany
| | - Susan Marschall
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Center Munich, German Research Center for Environmental Health, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany
| | - Valerie Gailus-Durner
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Center Munich, German Research Center for Environmental Health, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany
| | - Radislav Sedlacek
- Czech Centre for Phenogenomics, Institute of Molecular Genetics, Czech Academy of Sciences, Prumyslova 595, 252 50 Vestec, Czech Republic
| | - Martin Hrabě de Angelis
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Center Munich, German Research Center for Environmental Health, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany
| | - Jan Rozman
- Czech Centre for Phenogenomics, Institute of Molecular Genetics, Czech Academy of Sciences, Prumyslova 595, 252 50 Vestec, Czech Republic
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Nadine Spielmann
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Center Munich, German Research Center for Environmental Health, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany
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Ishengoma E, Rhode C. Using SPAdes, AUGUSTUS, and BLAST in an Automated Pipeline for Clustering Homologous Exome Sequences. Curr Protoc 2022; 2:e449. [PMID: 35612494 DOI: 10.1002/cpz1.449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Cross-species exome sequencing approaches provide unprecedented avenues for obtaining genetic diversity, evolutionary relationships, and functional information from a variety of organisms including non-model species. These approaches offer cost-effective opportunities to study multiple individuals or species in parallel, but also create bioinformatics challenges in the application of multiple but powerful bioinformatics tools for the identification of homologous gene families across individual or species boundaries. Popular tools of this kind include SPAdes for sequence assembly, AUGUSTUS for ab initio gene prediction, and BLAST for building homologous sequence families. These tools can also be sophisticated in terms of installation and usage. Here, we present detailed steps on how to run these tools for the recovery and clustering of exon sequences from cross-species raw exome-capture data into homologous sequence families. We also present a utility pipeline, CODSEQCP, that automates these steps to cluster exon sequences, facilitating population genomics and evolutionary studies. © 2022 Wiley Periodicals LLC. Basic Protocol 1: Reads assembly using SPAdes Basic Protocol 2: Coding sequence extraction using AUGUSTUS Basic Protocol 3: Sequence clustering using BLAST Alternate Protocol: How to run CODSEQCP.
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Affiliation(s)
- Edson Ishengoma
- Department of Biological Sciences, Mkwawa University College of Education, University of Dar es Salaam, Tanzania.,Department of Genetics, Stellenbosch University, Stellenbosch, South Africa
| | - Clint Rhode
- Department of Genetics, Stellenbosch University, Stellenbosch, South Africa
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