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A complementary approach for genetic diagnosis of inborn errors of immunity using proteogenomic analysis
Advances in next-generation sequencing technology have identified many genes responsible for inborn errors of immunity (IEI). However, there is still room for improvement in the efficiency of genetic diagnosis. Recently, RNA sequencing and proteomics using peripheral blood mononuclear cells (PBMCs)...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10109033/ https://www.ncbi.nlm.nih.gov/pubmed/37077884 http://dx.doi.org/10.1093/pnasnexus/pgad104 |
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author | Sakura, Fumiaki Noma, Kosuke Asano, Takaki Tanita, Kay Toyofuku, Etsushi Kato, Kentaro Tsumura, Miyuki Nihira, Hiroshi Izawa, Kazushi Mitsui-Sekinaka, Kanako Konno, Ryo Kawashima, Yusuke Mizoguchi, Yoko Karakawa, Shuhei Hayakawa, Seiichi Kawaguchi, Hiroshi Imai, Kohsuke Nonoyama, Shigeaki Yasumi, Takahiro Ohnishi, Hidenori Kanegane, Hirokazu Ohara, Osamu Okada, Satoshi |
author_facet | Sakura, Fumiaki Noma, Kosuke Asano, Takaki Tanita, Kay Toyofuku, Etsushi Kato, Kentaro Tsumura, Miyuki Nihira, Hiroshi Izawa, Kazushi Mitsui-Sekinaka, Kanako Konno, Ryo Kawashima, Yusuke Mizoguchi, Yoko Karakawa, Shuhei Hayakawa, Seiichi Kawaguchi, Hiroshi Imai, Kohsuke Nonoyama, Shigeaki Yasumi, Takahiro Ohnishi, Hidenori Kanegane, Hirokazu Ohara, Osamu Okada, Satoshi |
author_sort | Sakura, Fumiaki |
collection | PubMed |
description | Advances in next-generation sequencing technology have identified many genes responsible for inborn errors of immunity (IEI). However, there is still room for improvement in the efficiency of genetic diagnosis. Recently, RNA sequencing and proteomics using peripheral blood mononuclear cells (PBMCs) have gained attention, but only some studies have integrated these analyses in IEI. Moreover, previous proteomic studies for PBMCs have achieved limited coverage (approximately 3000 proteins). More comprehensive data are needed to gain valuable insights into the molecular mechanisms underlying IEI. Here, we propose a state-of-the-art method for diagnosing IEI using PBMCs proteomics integrated with targeted RNA sequencing (T-RNA-seq), providing unique insights into the pathogenesis of IEI. This study analyzed 70 IEI patients whose genetic etiology had not been identified by genetic analysis. In-depth proteomics identified 6498 proteins, which covered 63% of 527 genes identified in T-RNA-seq, allowing us to examine the molecular cause of IEI and immune cell defects. This integrated analysis identified the disease-causing genes in four cases undiagnosed in previous genetic studies. Three of them could be diagnosed by T-RNA-seq, while the other could only be diagnosed by proteomics. Moreover, this integrated analysis showed high protein–mRNA correlations in B- and T-cell-specific genes, and their expression profiles identified patients with immune cell dysfunction. These results indicate that integrated analysis improves the efficiency of genetic diagnosis and provides a deep understanding of the immune cell dysfunction underlying the etiology of IEI. Our novel approach demonstrates the complementary role of proteogenomic analysis in the genetic diagnosis and characterization of IEI. |
format | Online Article Text |
id | pubmed-10109033 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-101090332023-04-18 A complementary approach for genetic diagnosis of inborn errors of immunity using proteogenomic analysis Sakura, Fumiaki Noma, Kosuke Asano, Takaki Tanita, Kay Toyofuku, Etsushi Kato, Kentaro Tsumura, Miyuki Nihira, Hiroshi Izawa, Kazushi Mitsui-Sekinaka, Kanako Konno, Ryo Kawashima, Yusuke Mizoguchi, Yoko Karakawa, Shuhei Hayakawa, Seiichi Kawaguchi, Hiroshi Imai, Kohsuke Nonoyama, Shigeaki Yasumi, Takahiro Ohnishi, Hidenori Kanegane, Hirokazu Ohara, Osamu Okada, Satoshi PNAS Nexus Biological, Health, and Medical Sciences Advances in next-generation sequencing technology have identified many genes responsible for inborn errors of immunity (IEI). However, there is still room for improvement in the efficiency of genetic diagnosis. Recently, RNA sequencing and proteomics using peripheral blood mononuclear cells (PBMCs) have gained attention, but only some studies have integrated these analyses in IEI. Moreover, previous proteomic studies for PBMCs have achieved limited coverage (approximately 3000 proteins). More comprehensive data are needed to gain valuable insights into the molecular mechanisms underlying IEI. Here, we propose a state-of-the-art method for diagnosing IEI using PBMCs proteomics integrated with targeted RNA sequencing (T-RNA-seq), providing unique insights into the pathogenesis of IEI. This study analyzed 70 IEI patients whose genetic etiology had not been identified by genetic analysis. In-depth proteomics identified 6498 proteins, which covered 63% of 527 genes identified in T-RNA-seq, allowing us to examine the molecular cause of IEI and immune cell defects. This integrated analysis identified the disease-causing genes in four cases undiagnosed in previous genetic studies. Three of them could be diagnosed by T-RNA-seq, while the other could only be diagnosed by proteomics. Moreover, this integrated analysis showed high protein–mRNA correlations in B- and T-cell-specific genes, and their expression profiles identified patients with immune cell dysfunction. These results indicate that integrated analysis improves the efficiency of genetic diagnosis and provides a deep understanding of the immune cell dysfunction underlying the etiology of IEI. Our novel approach demonstrates the complementary role of proteogenomic analysis in the genetic diagnosis and characterization of IEI. Oxford University Press 2023-03-28 /pmc/articles/PMC10109033/ /pubmed/37077884 http://dx.doi.org/10.1093/pnasnexus/pgad104 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of National Academy of Sciences. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Biological, Health, and Medical Sciences Sakura, Fumiaki Noma, Kosuke Asano, Takaki Tanita, Kay Toyofuku, Etsushi Kato, Kentaro Tsumura, Miyuki Nihira, Hiroshi Izawa, Kazushi Mitsui-Sekinaka, Kanako Konno, Ryo Kawashima, Yusuke Mizoguchi, Yoko Karakawa, Shuhei Hayakawa, Seiichi Kawaguchi, Hiroshi Imai, Kohsuke Nonoyama, Shigeaki Yasumi, Takahiro Ohnishi, Hidenori Kanegane, Hirokazu Ohara, Osamu Okada, Satoshi A complementary approach for genetic diagnosis of inborn errors of immunity using proteogenomic analysis |
title | A complementary approach for genetic diagnosis of inborn errors of immunity using proteogenomic analysis |
title_full | A complementary approach for genetic diagnosis of inborn errors of immunity using proteogenomic analysis |
title_fullStr | A complementary approach for genetic diagnosis of inborn errors of immunity using proteogenomic analysis |
title_full_unstemmed | A complementary approach for genetic diagnosis of inborn errors of immunity using proteogenomic analysis |
title_short | A complementary approach for genetic diagnosis of inborn errors of immunity using proteogenomic analysis |
title_sort | complementary approach for genetic diagnosis of inborn errors of immunity using proteogenomic analysis |
topic | Biological, Health, and Medical Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10109033/ https://www.ncbi.nlm.nih.gov/pubmed/37077884 http://dx.doi.org/10.1093/pnasnexus/pgad104 |
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