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Whole blood transcriptome profiling identifies gene expression subnetworks and a key gene characteristic of the rare type of osteomyelitis

Chronic non-bacterial osteomyelitis (CNO) is a rare and severe inflammatory bone disorder that can occur in the jaw. It is often associated with systemic conditions including autoimmune deficiency. Medical management of patients and establishment of a correct diagnosis are difficult as the etiology...

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Autores principales: Yahara, Hiroko, Yanamoto, Souichi, Takahashi, Miho, Hamada, Yuji, Sakamoto, Haruo, Asaka, Takuya, Kitagawa, Yoshimasa, Moridera, Kuniyasu, Noguchi, Kazuma, Sugiyama, Masaya, Maruoka, Yutaka, Yahara, Koji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9440381/
https://www.ncbi.nlm.nih.gov/pubmed/36065290
http://dx.doi.org/10.1016/j.bbrep.2022.101328
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author Yahara, Hiroko
Yanamoto, Souichi
Takahashi, Miho
Hamada, Yuji
Sakamoto, Haruo
Asaka, Takuya
Kitagawa, Yoshimasa
Moridera, Kuniyasu
Noguchi, Kazuma
Sugiyama, Masaya
Maruoka, Yutaka
Yahara, Koji
author_facet Yahara, Hiroko
Yanamoto, Souichi
Takahashi, Miho
Hamada, Yuji
Sakamoto, Haruo
Asaka, Takuya
Kitagawa, Yoshimasa
Moridera, Kuniyasu
Noguchi, Kazuma
Sugiyama, Masaya
Maruoka, Yutaka
Yahara, Koji
author_sort Yahara, Hiroko
collection PubMed
description Chronic non-bacterial osteomyelitis (CNO) is a rare and severe inflammatory bone disorder that can occur in the jaw. It is often associated with systemic conditions including autoimmune deficiency. Medical management of patients and establishment of a correct diagnosis are difficult as the etiology of the disease remains unknown. Therefore, little is known about the disease characteristics at the gene expression level. Here, we explored aspects of CNO based on whole blood RNA sequencing (>6 Gb per sample) of 11 patients and 9 healthy controls in Japan and on a recently developed method that is applicable to small datasets, can estimate a directed gene network, and extract a subnetwork of genes underlying patient characteristics. We identified nine subnetworks, comprising 26 differentially regulated edges and 36 genes, with the gene encoding glycophorin C (GYPC) presenting the highest discrimination ability. The expression of the gene was mostly lower in patients with CNO than in the healthy controls, suggesting an abnormal status of red cells in patients with CNO. This study enhances our understanding of CNO at the transcriptome level and further provides a framework for whole blood RNA sequencing and analysis of data obtained for a better diagnosis of the disease.
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spelling pubmed-94403812022-09-04 Whole blood transcriptome profiling identifies gene expression subnetworks and a key gene characteristic of the rare type of osteomyelitis Yahara, Hiroko Yanamoto, Souichi Takahashi, Miho Hamada, Yuji Sakamoto, Haruo Asaka, Takuya Kitagawa, Yoshimasa Moridera, Kuniyasu Noguchi, Kazuma Sugiyama, Masaya Maruoka, Yutaka Yahara, Koji Biochem Biophys Rep Short Communication Chronic non-bacterial osteomyelitis (CNO) is a rare and severe inflammatory bone disorder that can occur in the jaw. It is often associated with systemic conditions including autoimmune deficiency. Medical management of patients and establishment of a correct diagnosis are difficult as the etiology of the disease remains unknown. Therefore, little is known about the disease characteristics at the gene expression level. Here, we explored aspects of CNO based on whole blood RNA sequencing (>6 Gb per sample) of 11 patients and 9 healthy controls in Japan and on a recently developed method that is applicable to small datasets, can estimate a directed gene network, and extract a subnetwork of genes underlying patient characteristics. We identified nine subnetworks, comprising 26 differentially regulated edges and 36 genes, with the gene encoding glycophorin C (GYPC) presenting the highest discrimination ability. The expression of the gene was mostly lower in patients with CNO than in the healthy controls, suggesting an abnormal status of red cells in patients with CNO. This study enhances our understanding of CNO at the transcriptome level and further provides a framework for whole blood RNA sequencing and analysis of data obtained for a better diagnosis of the disease. Elsevier 2022-08-27 /pmc/articles/PMC9440381/ /pubmed/36065290 http://dx.doi.org/10.1016/j.bbrep.2022.101328 Text en © 2022 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Short Communication
Yahara, Hiroko
Yanamoto, Souichi
Takahashi, Miho
Hamada, Yuji
Sakamoto, Haruo
Asaka, Takuya
Kitagawa, Yoshimasa
Moridera, Kuniyasu
Noguchi, Kazuma
Sugiyama, Masaya
Maruoka, Yutaka
Yahara, Koji
Whole blood transcriptome profiling identifies gene expression subnetworks and a key gene characteristic of the rare type of osteomyelitis
title Whole blood transcriptome profiling identifies gene expression subnetworks and a key gene characteristic of the rare type of osteomyelitis
title_full Whole blood transcriptome profiling identifies gene expression subnetworks and a key gene characteristic of the rare type of osteomyelitis
title_fullStr Whole blood transcriptome profiling identifies gene expression subnetworks and a key gene characteristic of the rare type of osteomyelitis
title_full_unstemmed Whole blood transcriptome profiling identifies gene expression subnetworks and a key gene characteristic of the rare type of osteomyelitis
title_short Whole blood transcriptome profiling identifies gene expression subnetworks and a key gene characteristic of the rare type of osteomyelitis
title_sort whole blood transcriptome profiling identifies gene expression subnetworks and a key gene characteristic of the rare type of osteomyelitis
topic Short Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9440381/
https://www.ncbi.nlm.nih.gov/pubmed/36065290
http://dx.doi.org/10.1016/j.bbrep.2022.101328
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