A systems biology approach towards the identification of candidate therapeutic genes and potential biomarkers for Parkinson’s disease
Parkinson’s disease (PD) is an irreversible and incurable multigenic neurodegenerative disorder. It involves progressive loss of mid brain dopaminergic neurons in the substantia nigra pars compacta (SN). We compared brain gene expression profiles with those from the peripheral blood cells of a separ...
主要な著者: | , , , , , |
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フォーマット: | 論文 |
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Public Library of Science
2019
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主題: |
_version_ | 1825722083661840384 |
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author | Sakharkar, Meena Kishore Dhillon, Sarinder Kaur Rajamanickam, Karthic Mohamed Essa, Musthafa Yang, Jian Chidambaram, Saravana Babu |
author_facet | Sakharkar, Meena Kishore Dhillon, Sarinder Kaur Rajamanickam, Karthic Mohamed Essa, Musthafa Yang, Jian Chidambaram, Saravana Babu |
author_sort | Sakharkar, Meena Kishore |
collection | UM |
description | Parkinson’s disease (PD) is an irreversible and incurable multigenic neurodegenerative disorder. It involves progressive loss of mid brain dopaminergic neurons in the substantia nigra pars compacta (SN). We compared brain gene expression profiles with those from the peripheral blood cells of a separate sample of PD patients to identify disease-associated genes. Here, we demonstrate the use of gene expression profiling of brain and blood for detecting valid targets and identifying early PD biomarkers. Implementing this systematic approach, we discovered putative PD risk genes in brain, delineated biological processes and molecular functions that may be particularly disrupted in PD and also identified several putative PD biomarkers in blood. 20 of the differentially expressed genes in SN were also found to be differentially expressed in the blood. Further application of this methodology to other brain regions and neurological disorders should facilitate the discovery of highly reliable and reproducible candidate risk genes and biomarkers for PD. The identification of valid peripheral biomarkers for PD may ultimately facilitate early identification, intervention, and prevention efforts as well. © 2019 Sakharkar et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
first_indexed | 2024-03-06T06:00:14Z |
format | Article |
id | um.eprints-23569 |
institution | Universiti Malaya |
last_indexed | 2024-03-06T06:00:14Z |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | dspace |
spelling | um.eprints-235692020-01-24T02:11:27Z http://eprints.um.edu.my/23569/ A systems biology approach towards the identification of candidate therapeutic genes and potential biomarkers for Parkinson’s disease Sakharkar, Meena Kishore Dhillon, Sarinder Kaur Rajamanickam, Karthic Mohamed Essa, Musthafa Yang, Jian Chidambaram, Saravana Babu Q Science (General) QR Microbiology Parkinson’s disease (PD) is an irreversible and incurable multigenic neurodegenerative disorder. It involves progressive loss of mid brain dopaminergic neurons in the substantia nigra pars compacta (SN). We compared brain gene expression profiles with those from the peripheral blood cells of a separate sample of PD patients to identify disease-associated genes. Here, we demonstrate the use of gene expression profiling of brain and blood for detecting valid targets and identifying early PD biomarkers. Implementing this systematic approach, we discovered putative PD risk genes in brain, delineated biological processes and molecular functions that may be particularly disrupted in PD and also identified several putative PD biomarkers in blood. 20 of the differentially expressed genes in SN were also found to be differentially expressed in the blood. Further application of this methodology to other brain regions and neurological disorders should facilitate the discovery of highly reliable and reproducible candidate risk genes and biomarkers for PD. The identification of valid peripheral biomarkers for PD may ultimately facilitate early identification, intervention, and prevention efforts as well. © 2019 Sakharkar et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Public Library of Science 2019 Article PeerReviewed Sakharkar, Meena Kishore and Dhillon, Sarinder Kaur and Rajamanickam, Karthic and Mohamed Essa, Musthafa and Yang, Jian and Chidambaram, Saravana Babu (2019) A systems biology approach towards the identification of candidate therapeutic genes and potential biomarkers for Parkinson’s disease. PLoS ONE, 14 (9). e0220995. ISSN 1932-6203, DOI https://doi.org/10.1371/journal.pone.0220995 <https://doi.org/10.1371/journal.pone.0220995>. https://doi.org/10.1371/journal.pone.0220995 doi:10.1371/journal.pone.0220995 |
spellingShingle | Q Science (General) QR Microbiology Sakharkar, Meena Kishore Dhillon, Sarinder Kaur Rajamanickam, Karthic Mohamed Essa, Musthafa Yang, Jian Chidambaram, Saravana Babu A systems biology approach towards the identification of candidate therapeutic genes and potential biomarkers for Parkinson’s disease |
title | A systems biology approach towards the identification of candidate therapeutic genes and potential biomarkers for Parkinson’s disease |
title_full | A systems biology approach towards the identification of candidate therapeutic genes and potential biomarkers for Parkinson’s disease |
title_fullStr | A systems biology approach towards the identification of candidate therapeutic genes and potential biomarkers for Parkinson’s disease |
title_full_unstemmed | A systems biology approach towards the identification of candidate therapeutic genes and potential biomarkers for Parkinson’s disease |
title_short | A systems biology approach towards the identification of candidate therapeutic genes and potential biomarkers for Parkinson’s disease |
title_sort | systems biology approach towards the identification of candidate therapeutic genes and potential biomarkers for parkinson s disease |
topic | Q Science (General) QR Microbiology |
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