Insights into the evolutionary features of human neurodegenerative diseases.

Comparative analyses between human disease and non-disease genes are of great interest in understanding human disease gene evolution. However, the progression of neurodegenerative diseases (NDD) involving amyloid formation in specific brain regions is still unknown. Therefore, in this study, we main...

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Autores principales:	Arup Panda, Tina Begum, Tapash Chandra Ghosh
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/973a93fee37049249bc44cda0f537000
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spelling	oai:doaj.org-article:973a93fee37049249bc44cda0f5370002021-11-18T08:10:37ZInsights into the evolutionary features of human neurodegenerative diseases.1932-620310.1371/journal.pone.0048336https://doaj.org/article/973a93fee37049249bc44cda0f5370002012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23118989/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203Comparative analyses between human disease and non-disease genes are of great interest in understanding human disease gene evolution. However, the progression of neurodegenerative diseases (NDD) involving amyloid formation in specific brain regions is still unknown. Therefore, in this study, we mainly focused our analysis on the evolutionary features of human NDD genes with respect to non-disease genes. Here, we observed that human NDD genes are evolutionarily conserved relative to non-disease genes. To elucidate the conserved nature of NDD genes, we incorporated the evolutionary attributes like gene expression level, number of regulatory miRNAs, protein connectivity, intrinsic disorder content and relative aggregation propensity in our analysis. Our studies demonstrate that NDD genes have higher gene expression levels in favor of their lower evolutionary rates. Additionally, we observed that NDD genes have higher number of different regulatory miRNAs target sites and also have higher interaction partners than the non-disease genes. Moreover, miRNA targeted genes are known to have higher disorder content. In contrast, our analysis exclusively established that NDD genes have lower disorder content. In favor of our analysis, we found that NDD gene encoded proteins are enriched with multi interface hubs (party hubs) with lower disorder contents. Since, proteins with higher disorder content need to adapt special structure to reduce their aggregation propensity, NDD proteins found to have elevated relative aggregation propensity (RAP) in support of their lower disorder content. Finally, our categorical regression analysis confirmed the underlined relative dominance of protein connectivity, 3'UTR length, RAP, nature of hubs (singlish/multi interface) and disorder content for such evolutionary rates variation between human NDD genes and non-disease genes.Arup PandaTina BegumTapash Chandra GhoshPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 10, p e48336 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Arup Panda Tina Begum Tapash Chandra Ghosh Insights into the evolutionary features of human neurodegenerative diseases.
description	Comparative analyses between human disease and non-disease genes are of great interest in understanding human disease gene evolution. However, the progression of neurodegenerative diseases (NDD) involving amyloid formation in specific brain regions is still unknown. Therefore, in this study, we mainly focused our analysis on the evolutionary features of human NDD genes with respect to non-disease genes. Here, we observed that human NDD genes are evolutionarily conserved relative to non-disease genes. To elucidate the conserved nature of NDD genes, we incorporated the evolutionary attributes like gene expression level, number of regulatory miRNAs, protein connectivity, intrinsic disorder content and relative aggregation propensity in our analysis. Our studies demonstrate that NDD genes have higher gene expression levels in favor of their lower evolutionary rates. Additionally, we observed that NDD genes have higher number of different regulatory miRNAs target sites and also have higher interaction partners than the non-disease genes. Moreover, miRNA targeted genes are known to have higher disorder content. In contrast, our analysis exclusively established that NDD genes have lower disorder content. In favor of our analysis, we found that NDD gene encoded proteins are enriched with multi interface hubs (party hubs) with lower disorder contents. Since, proteins with higher disorder content need to adapt special structure to reduce their aggregation propensity, NDD proteins found to have elevated relative aggregation propensity (RAP) in support of their lower disorder content. Finally, our categorical regression analysis confirmed the underlined relative dominance of protein connectivity, 3'UTR length, RAP, nature of hubs (singlish/multi interface) and disorder content for such evolutionary rates variation between human NDD genes and non-disease genes.
format	article
author	Arup Panda Tina Begum Tapash Chandra Ghosh
author_facet	Arup Panda Tina Begum Tapash Chandra Ghosh
author_sort	Arup Panda
title	Insights into the evolutionary features of human neurodegenerative diseases.
title_short	Insights into the evolutionary features of human neurodegenerative diseases.
title_full	Insights into the evolutionary features of human neurodegenerative diseases.
title_fullStr	Insights into the evolutionary features of human neurodegenerative diseases.
title_full_unstemmed	Insights into the evolutionary features of human neurodegenerative diseases.
title_sort	insights into the evolutionary features of human neurodegenerative diseases.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/973a93fee37049249bc44cda0f537000
work_keys_str_mv	AT aruppanda insightsintotheevolutionaryfeaturesofhumanneurodegenerativediseases AT tinabegum insightsintotheevolutionaryfeaturesofhumanneurodegenerativediseases AT tapashchandraghosh insightsintotheevolutionaryfeaturesofhumanneurodegenerativediseases
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Insights into the evolutionary features of human neurodegenerative diseases.

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