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Identification of key regulators in Sarcoidosis through multidimensional systems biological approach
Sarcoidosis is a multi-organ disorder where immunology, genetic and environmental factors play a key role in causing Sarcoidosis, but its molecular mechanism remains unclear. Identification of its genetics profiling that regulates the Sarcoidosis network will be one of the main challenges to underst...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8786862/ https://www.ncbi.nlm.nih.gov/pubmed/35075176 http://dx.doi.org/10.1038/s41598-022-05129-7 |
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author | Tazyeen, Safia Ahmed, Mohd Murshad Farooqui, Anam Alam, Aftab Malik, Md. Zubbair Saeed, Mohd Ahmad, Irfan Abohashrh, Mohammed Singh, R. K. Brojen Ishrat, Romana |
author_facet | Tazyeen, Safia Ahmed, Mohd Murshad Farooqui, Anam Alam, Aftab Malik, Md. Zubbair Saeed, Mohd Ahmad, Irfan Abohashrh, Mohammed Singh, R. K. Brojen Ishrat, Romana |
author_sort | Tazyeen, Safia |
collection | PubMed |
description | Sarcoidosis is a multi-organ disorder where immunology, genetic and environmental factors play a key role in causing Sarcoidosis, but its molecular mechanism remains unclear. Identification of its genetics profiling that regulates the Sarcoidosis network will be one of the main challenges to understand its aetiology. We have identified differentially expressed genes (DEGs) by analyzing the gene expression profiling of Sarcoidosis and compared it with healthy control. Gene set enrichment analysis showed that these DEGs were mainly enriched in the inflammatory response, immune system, and pathways in cancer. Sarcoidosis protein interaction network was constructed by a total of 877 DEGs (up-down) and calculated its network topological properties, which follow hierarchical scale-free fractal nature up to six levels of the organization. We identified a large number of leading hubs that contain six key regulators (KRs) including ICOS, CTLA4, FLT3LG, CD33, GPR29 and ITGA4 are deeply rooted in the network from top to bottom, considering a backbone of the network. We identified the transcriptional factors (TFs) which are closely interacted with KRs. These genes and their TFs regulating the Sarcoidosis network are expected to be the main target for the therapeutic approaches and potential biomarkers. However, experimental validations of KRs needed to confirm their efficacy. |
format | Online Article Text |
id | pubmed-8786862 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-87868622022-01-25 Identification of key regulators in Sarcoidosis through multidimensional systems biological approach Tazyeen, Safia Ahmed, Mohd Murshad Farooqui, Anam Alam, Aftab Malik, Md. Zubbair Saeed, Mohd Ahmad, Irfan Abohashrh, Mohammed Singh, R. K. Brojen Ishrat, Romana Sci Rep Article Sarcoidosis is a multi-organ disorder where immunology, genetic and environmental factors play a key role in causing Sarcoidosis, but its molecular mechanism remains unclear. Identification of its genetics profiling that regulates the Sarcoidosis network will be one of the main challenges to understand its aetiology. We have identified differentially expressed genes (DEGs) by analyzing the gene expression profiling of Sarcoidosis and compared it with healthy control. Gene set enrichment analysis showed that these DEGs were mainly enriched in the inflammatory response, immune system, and pathways in cancer. Sarcoidosis protein interaction network was constructed by a total of 877 DEGs (up-down) and calculated its network topological properties, which follow hierarchical scale-free fractal nature up to six levels of the organization. We identified a large number of leading hubs that contain six key regulators (KRs) including ICOS, CTLA4, FLT3LG, CD33, GPR29 and ITGA4 are deeply rooted in the network from top to bottom, considering a backbone of the network. We identified the transcriptional factors (TFs) which are closely interacted with KRs. These genes and their TFs regulating the Sarcoidosis network are expected to be the main target for the therapeutic approaches and potential biomarkers. However, experimental validations of KRs needed to confirm their efficacy. Nature Publishing Group UK 2022-01-24 /pmc/articles/PMC8786862/ /pubmed/35075176 http://dx.doi.org/10.1038/s41598-022-05129-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Tazyeen, Safia Ahmed, Mohd Murshad Farooqui, Anam Alam, Aftab Malik, Md. Zubbair Saeed, Mohd Ahmad, Irfan Abohashrh, Mohammed Singh, R. K. Brojen Ishrat, Romana Identification of key regulators in Sarcoidosis through multidimensional systems biological approach |
title | Identification of key regulators in Sarcoidosis through multidimensional systems biological approach |
title_full | Identification of key regulators in Sarcoidosis through multidimensional systems biological approach |
title_fullStr | Identification of key regulators in Sarcoidosis through multidimensional systems biological approach |
title_full_unstemmed | Identification of key regulators in Sarcoidosis through multidimensional systems biological approach |
title_short | Identification of key regulators in Sarcoidosis through multidimensional systems biological approach |
title_sort | identification of key regulators in sarcoidosis through multidimensional systems biological approach |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8786862/ https://www.ncbi.nlm.nih.gov/pubmed/35075176 http://dx.doi.org/10.1038/s41598-022-05129-7 |
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