Established Comprehensive Analysis Of The Differentially Expressed MicroRNA, Proteome, And Transcriptome Network In Alport Syndrome IPSCs

Aim: Established comprehensive analysis of the differentially expressed micro RNA, proteome, and transcriptome network in Alport syndrome(AS) i PSCs. Looking for the unique micro RNA, proteome and transcriptome, and found out the connected point between the micro RNA, proteome and transcriptome base on the associated analysis diagram. Methods: We identified a family with three generations of patients suffering from AS which to be o be X-linked heredity. We selected 6 members included 3 AS patients and 3 healthy subjects(NC) from the AS family for further research. In our previous research, we have successfully induced induced pluripotent stem cells(i PSCs) from renal tubular cells. We extracted micro RNA, transcriptome and proteome from i PSCs. The micro RNA was went through high through put sequencing analysis. Subsequently, we make an analysis of different expression mico RNA after purified, classification, length counted and base mutation analysis. We could found out the significantly different expression micro RNA. In the similar way, we can found out the significant different expression transcriptome. We also made advantage of Isobaric Tags For Relative And Absolute Quantitation(ITRAQ) to obtain proteome, and accepted significantly different expression proteome after differences in expression analysis. Then, we analyzed the interaction between different expression micro NRA and transcriptome by KEGGSOAP(http://www.bioconductor.org/packages/2.4/bioc/html/KEGGSOAP.html). We took three software Pic Tar2005(http://pictar.mdc-berlin.de/cgi-bin/Pic Tar_vertebrate.cgi),mi Randa( http://www.ebi.ac.uk/enright-srv/microcosm/htdocs/targets/v5/),Target Scan5.1(http://www.targetscan.org/)program s to establish the connected diagram. The way to analyze the connetction between micro RNA and proteome was the same as micro RNA and transcriptome. Finally, we made comprehensively analysis of connections of micro RNA, transcriptome and proteome, established the associated diagram of mciro RNA, transcriptome and proteome.Result: At the proteome level, relative quantitative proteome using i TRAQ technology revealed 899 differentially expressed proteins. At the micro RNA and transcriptome level, high-throughput sequencing showed 830 differentially expressed micro RNAs and 1168 differentially expressed transcriptomes. We correlated micro RNA with transcriptomes and proteomes, as well as transcriptomes with proteomes. The results indicated a close association of 156 micro RNAs with 382 transcriptomes, 26 micro RNAs with 25 proteomes, and 189 proteomes with 237 transcriptomes. From the micro RNA and transcriptome associated analyses, the most prominent micro RNA was hsa-mi R-4775, which was associated with 27 genes and the most prominent transcriptome were RNF128 and RGPD8, which was associated with 10 micro RNAs. In the micro RNA and proteome associated analysis, hsa-mi R-6760-5p and hsa-mi R-4775 were associated with 3 proteomes and were the most prominent micro RNAs. In the proteome and transcriptome associated analysis, ELAVL1 was associated with 41 transcriptomes and 67 other proteomes, while EGFR, the most prominent transcriptome, was associated with 15 other transcriptomes and 19 proteomes.