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Sartoris S, Del Pozzo G. Exploring the HLA complex in autoimmunity: From the risk haplotypes to the modulation of expression. Clin Immunol 2024; 265:110266. [PMID: 38851519 DOI: 10.1016/j.clim.2024.110266] [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: 04/24/2024] [Revised: 05/29/2024] [Accepted: 05/30/2024] [Indexed: 06/10/2024]
Abstract
The genes mapping at the HLA region show high density, strong linkage disequilibrium and high polymorphism, which affect the association of HLA class I and class II genes with autoimmunity. We focused on the HLA haplotypes, genomic structures consisting of an array of specific alleles showing some degrees of genetic association with different autoimmune disorders. GWASs in many pathologies have identified variants in either the coding loci or the flanking regulatory regions, both in linkage disequilibrium in haplotypes, that are frequently associated with increased risk and may influence gene expression. We discuss the relevance of the HLA gene expression because the level of surface heterodimers determines the number of complexes presenting self-antigen and, thus, the strength of pathogenic autoreactive T cells immune response.
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Affiliation(s)
- Silvia Sartoris
- Dept. of Medicine, Section of Immunology University of Verona School of Medicine, Verona, Italy
| | - Giovanna Del Pozzo
- Institute of Genetics and Biophysics "Adriano Buzzati Traverso" National Research Council (CNR), Naples, Italy.
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Kozlova A, Sarygina E, Deinichenko K, Radko S, Ptitsyn K, Khmeleva S, Kurbatov L, Spirin P, Prassolov V, Ilgisonis E, Lisitsa A, Ponomarenko E. Comparison of Alternative Splicing Landscapes Revealed by Long-Read Sequencing in Hepatocyte-Derived HepG2 and Huh7 Cultured Cells and Human Liver Tissue. BIOLOGY 2023; 12:1494. [PMID: 38132320 PMCID: PMC10740679 DOI: 10.3390/biology12121494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Revised: 11/17/2023] [Accepted: 11/25/2023] [Indexed: 12/23/2023]
Abstract
The long-read RNA sequencing developed by Oxford Nanopore Technologies provides a direct quantification of transcript isoforms, thereby making it possible to present alternative splicing (AS) profiles as arrays of single splice variants with different abundances. Additionally, AS profiles can be presented as arrays of genes characterized by the degree of alternative splicing (the DAS-the number of detected splice variants per gene). Here, we successfully utilized the DAS to reveal biological pathways influenced by the alterations in AS in human liver tissue and the hepatocyte-derived malignant cell lines HepG2 and Huh7, thus employing the mathematical algorithm of gene set enrichment analysis. Furthermore, analysis of the AS profiles as abundances of single splice variants by using the graded tissue specificity index τ provided the selection of the groups of genes expressing particular splice variants specifically in liver tissue, HepG2 cells, and Huh7 cells. The majority of these splice variants were translated into proteins products and appeal to be in focus regarding further insights into the mechanisms underlying cell malignization. The used metrics are intrinsically suitable for transcriptome-wide AS profiling using long-read sequencing.
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Affiliation(s)
- Anna Kozlova
- Institute of Biomedical Chemistry, Pogodinskaya Street 10, 119121 Moscow, Russia (S.R.)
| | - Elizaveta Sarygina
- Institute of Biomedical Chemistry, Pogodinskaya Street 10, 119121 Moscow, Russia (S.R.)
| | - Kseniia Deinichenko
- Institute of Biomedical Chemistry, Pogodinskaya Street 10, 119121 Moscow, Russia (S.R.)
| | - Sergey Radko
- Institute of Biomedical Chemistry, Pogodinskaya Street 10, 119121 Moscow, Russia (S.R.)
| | - Konstantin Ptitsyn
- Institute of Biomedical Chemistry, Pogodinskaya Street 10, 119121 Moscow, Russia (S.R.)
| | - Svetlana Khmeleva
- Institute of Biomedical Chemistry, Pogodinskaya Street 10, 119121 Moscow, Russia (S.R.)
| | - Leonid Kurbatov
- Institute of Biomedical Chemistry, Pogodinskaya Street 10, 119121 Moscow, Russia (S.R.)
| | - Pavel Spirin
- Department of Cancer Cell Biology, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Vavilova 32, 119991 Moscow, Russia; (P.S.); (V.P.)
| | - Vladimir Prassolov
- Department of Cancer Cell Biology, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Vavilova 32, 119991 Moscow, Russia; (P.S.); (V.P.)
| | - Ekaterina Ilgisonis
- Institute of Biomedical Chemistry, Pogodinskaya Street 10, 119121 Moscow, Russia (S.R.)
| | - Andrey Lisitsa
- Institute of Biomedical Chemistry, Pogodinskaya Street 10, 119121 Moscow, Russia (S.R.)
| | - Elena Ponomarenko
- Institute of Biomedical Chemistry, Pogodinskaya Street 10, 119121 Moscow, Russia (S.R.)
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Sarygina E, Kozlova A, Deinichenko K, Radko S, Ptitsyn K, Khmeleva S, Kurbatov LK, Spirin P, Prassolov VS, Ilgisonis E, Lisitsa A, Ponomarenko E. Principal Component Analysis of Alternative Splicing Profiles Revealed by Long-Read ONT Sequencing in Human Liver Tissue and Hepatocyte-Derived HepG2 and Huh7 Cell Lines. Int J Mol Sci 2023; 24:15502. [PMID: 37958484 PMCID: PMC10648607 DOI: 10.3390/ijms242115502] [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: 09/05/2023] [Revised: 10/12/2023] [Accepted: 10/14/2023] [Indexed: 11/15/2023] Open
Abstract
The long-read RNA sequencing developed by Oxford Nanopore Technology provides a direct quantification of transcript isoforms. That makes the number of transcript isoforms per gene an intrinsically suitable metric for alternative splicing (AS) profiling in the application to this particular type of RNA sequencing. By using this simple metric and recruiting principal component analysis (PCA) as a tool to visualize the high-dimensional transcriptomic data, we were able to group biospecimens of normal human liver tissue and hepatocyte-derived malignant HepG2 and Huh7 cells into clear clusters in a 2D space. For the transcriptome-wide analysis, the clustering was observed regardless whether all genes were included in analysis or only those expressed in all biospecimens tested. However, in the application to a particular set of genes known as pharmacogenes, which are involved in drug metabolism, the clustering worsened dramatically in the latter case. Based on PCA data, the subsets of genes most contributing to biospecimens' grouping into clusters were selected and subjected to gene ontology analysis that allowed us to determine the top 20 biological processes among which translation and processes related to its regulation dominate. The suggested metrics can be a useful addition to the existing metrics for describing AS profiles, especially in application to transcriptome studies with long-read sequencing.
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Affiliation(s)
- Elizaveta Sarygina
- Institute of Biomedical Chemistry, Pogodinskaya Street 10, 119121 Moscow, Russia; (E.S.); (A.K.); (S.R.)
| | - Anna Kozlova
- Institute of Biomedical Chemistry, Pogodinskaya Street 10, 119121 Moscow, Russia; (E.S.); (A.K.); (S.R.)
| | - Kseniia Deinichenko
- Institute of Biomedical Chemistry, Pogodinskaya Street 10, 119121 Moscow, Russia; (E.S.); (A.K.); (S.R.)
| | - Sergey Radko
- Institute of Biomedical Chemistry, Pogodinskaya Street 10, 119121 Moscow, Russia; (E.S.); (A.K.); (S.R.)
| | - Konstantin Ptitsyn
- Institute of Biomedical Chemistry, Pogodinskaya Street 10, 119121 Moscow, Russia; (E.S.); (A.K.); (S.R.)
| | - Svetlana Khmeleva
- Institute of Biomedical Chemistry, Pogodinskaya Street 10, 119121 Moscow, Russia; (E.S.); (A.K.); (S.R.)
| | - Leonid K. Kurbatov
- Institute of Biomedical Chemistry, Pogodinskaya Street 10, 119121 Moscow, Russia; (E.S.); (A.K.); (S.R.)
| | - Pavel Spirin
- Department of Cancer Cell Biology, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Vavilova 32, 119991 Moscow, Russia
| | - Vladimir S. Prassolov
- Department of Cancer Cell Biology, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Vavilova 32, 119991 Moscow, Russia
| | - Ekaterina Ilgisonis
- Institute of Biomedical Chemistry, Pogodinskaya Street 10, 119121 Moscow, Russia; (E.S.); (A.K.); (S.R.)
| | - Andrey Lisitsa
- Institute of Biomedical Chemistry, Pogodinskaya Street 10, 119121 Moscow, Russia; (E.S.); (A.K.); (S.R.)
| | - Elena Ponomarenko
- Institute of Biomedical Chemistry, Pogodinskaya Street 10, 119121 Moscow, Russia; (E.S.); (A.K.); (S.R.)
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