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Key Genes Identified in Nonsyndromic Microtia by the Analysis of Transcriptomics and Proteomics
[Image: see text] As one of the common birth defects worldwide, nonsyndromic microtia is a complex disease that results from interactions between environmental and genetic factors. However, the underlying causes of nonsyndromic microtia are currently not well understood. The present study determined...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9134388/ https://www.ncbi.nlm.nih.gov/pubmed/35647449 http://dx.doi.org/10.1021/acsomega.1c07059 |
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author | Chen, Xin Xu, Yuexin Li, Chenlong Lu, Xinyu Fu, Yaoyao Huang, Qingqing Ma, Duan Ma, Jing Zhang, Tianyu |
author_facet | Chen, Xin Xu, Yuexin Li, Chenlong Lu, Xinyu Fu, Yaoyao Huang, Qingqing Ma, Duan Ma, Jing Zhang, Tianyu |
author_sort | Chen, Xin |
collection | PubMed |
description | [Image: see text] As one of the common birth defects worldwide, nonsyndromic microtia is a complex disease that results from interactions between environmental and genetic factors. However, the underlying causes of nonsyndromic microtia are currently not well understood. The present study determined transcriptomic and proteomic profiles of auricular cartilage tissues in 10 patients with third-degree nonsyndromic microtia and five control subjects by RNA microarray and tandem mass tag-based quantitative proteomics technology. Relative mRNA and protein abundances were compared and evaluated for their function and putative involvement in nonsyndromic microtia. A total of 3971 differentially expressed genes and 256 differentially expressed proteins were identified. Bioinformatics analysis demonstrated that some of these genes and proteins showed potential associations with nonsyndromic microtia. Thirteen proteins with the same trend at the mRNA level obtained by the integrated analysis were validated by parallel reaction monitoring analysis. Several key genes, namely, LAMB2, COMP, APOA2, APOC2, APOC3, and A2M, were found to be dysregulated, which could contribute to nonsyndromic microtia. The present study is the first report on the transcriptomic and proteomic integrated analysis of nonsyndromic microtia using the same auricular cartilage sample. Additional studies are required to clarify the roles of potential key genes in nonsyndromic microtia. |
format | Online Article Text |
id | pubmed-9134388 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-91343882022-05-27 Key Genes Identified in Nonsyndromic Microtia by the Analysis of Transcriptomics and Proteomics Chen, Xin Xu, Yuexin Li, Chenlong Lu, Xinyu Fu, Yaoyao Huang, Qingqing Ma, Duan Ma, Jing Zhang, Tianyu ACS Omega [Image: see text] As one of the common birth defects worldwide, nonsyndromic microtia is a complex disease that results from interactions between environmental and genetic factors. However, the underlying causes of nonsyndromic microtia are currently not well understood. The present study determined transcriptomic and proteomic profiles of auricular cartilage tissues in 10 patients with third-degree nonsyndromic microtia and five control subjects by RNA microarray and tandem mass tag-based quantitative proteomics technology. Relative mRNA and protein abundances were compared and evaluated for their function and putative involvement in nonsyndromic microtia. A total of 3971 differentially expressed genes and 256 differentially expressed proteins were identified. Bioinformatics analysis demonstrated that some of these genes and proteins showed potential associations with nonsyndromic microtia. Thirteen proteins with the same trend at the mRNA level obtained by the integrated analysis were validated by parallel reaction monitoring analysis. Several key genes, namely, LAMB2, COMP, APOA2, APOC2, APOC3, and A2M, were found to be dysregulated, which could contribute to nonsyndromic microtia. The present study is the first report on the transcriptomic and proteomic integrated analysis of nonsyndromic microtia using the same auricular cartilage sample. Additional studies are required to clarify the roles of potential key genes in nonsyndromic microtia. American Chemical Society 2022-05-13 /pmc/articles/PMC9134388/ /pubmed/35647449 http://dx.doi.org/10.1021/acsomega.1c07059 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Chen, Xin Xu, Yuexin Li, Chenlong Lu, Xinyu Fu, Yaoyao Huang, Qingqing Ma, Duan Ma, Jing Zhang, Tianyu Key Genes Identified in Nonsyndromic Microtia by the Analysis of Transcriptomics and Proteomics |
title | Key Genes Identified in Nonsyndromic Microtia by the
Analysis of Transcriptomics and Proteomics |
title_full | Key Genes Identified in Nonsyndromic Microtia by the
Analysis of Transcriptomics and Proteomics |
title_fullStr | Key Genes Identified in Nonsyndromic Microtia by the
Analysis of Transcriptomics and Proteomics |
title_full_unstemmed | Key Genes Identified in Nonsyndromic Microtia by the
Analysis of Transcriptomics and Proteomics |
title_short | Key Genes Identified in Nonsyndromic Microtia by the
Analysis of Transcriptomics and Proteomics |
title_sort | key genes identified in nonsyndromic microtia by the
analysis of transcriptomics and proteomics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9134388/ https://www.ncbi.nlm.nih.gov/pubmed/35647449 http://dx.doi.org/10.1021/acsomega.1c07059 |
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