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Sequencing facilitates quantitative analysis of transcriptomes in wild type and Lrp6-knockdown cells. Sequencing facilitates quantitative analysis of transcriptomes in wild type and Lrp6-knockdown cells

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NIAID Data Ecosystem2026-03-10 收录
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https://www.ncbi.nlm.nih.gov/bioproject/PRJNA399100
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Purpose: The goals of this study are to determine the LRP6-mediated splicing regulation, and cellular transcriptomes from rat and human are analysised by deep sequencing. Methods: The mRNA profiles of WT and LRP6 KD were generated by deep sequencing, using Illumina HiSeq 4000. And the transcript isoform difference betwwen the two group were analysied by bioinformation, Semiquantitative PCR was performed to identify the analysis result. Results and conclusions: We detected a substantial number of Lrp6 loss-induced AS events, and up to nearly 50 of them were exon-skipped. A gene ontology analysis of the conserved LRP6-driven network showed enrichment for ninety-four genes encoding proteins mainly involved in cellular and metabolic processes . Among them, a decade of genes with LRP6-dependent isoform expression showed identical splicing patterns on the exon level across species. The RNA sequencing results were further verified by Semiquantitative PCR. We conclude that LRP6 could regulate mRNA splicing. Overall design: Examination of different transcriptome in 3 cell types
创建时间:
2017-08-17
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