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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.
Affiliation
  • Chen X; ENT institute, Eye & ENT Hospital, Fudan University, Shanghai 200031, China.
  • Xu Y; Key Laboratory of Metabolism and Molecular Medicine, Ministry of Education, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China.
  • Li C; Department of Facial Plastic and Reconstructive Surgery, Eye & ENT Hospital, Fudan University, Shanghai 200031, China.
  • Lu X; ENT institute, Eye & ENT Hospital, Fudan University, Shanghai 200031, China.
  • Fu Y; Department of Facial Plastic and Reconstructive Surgery, Eye & ENT Hospital, Fudan University, Shanghai 200031, China.
  • Huang Q; Department of Bioinformatics, Medical Laboratory of Nantong Zhongke, Nantong, Jiangsu 226133, China.
  • Ma D; Key Laboratory of Metabolism and Molecular Medicine, Ministry of Education, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China.
  • Ma J; ENT institute, Eye & ENT Hospital, Fudan University, Shanghai 200031, China.
  • Zhang T; Department of Facial Plastic and Reconstructive Surgery, Eye & ENT Hospital, Fudan University, Shanghai 200031, China.
ACS Omega ; 7(20): 16917-16927, 2022 May 24.
Article in En | MEDLINE | ID: mdl-35647449
ABSTRACT
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.

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: ACS Omega Year: 2022 Document type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: ACS Omega Year: 2022 Document type: Article Affiliation country: China