Transcriptomics

Dataset Information

0

Time-course transcriptome profiling in vasopressin-treated mouse kidney collecting duct mpkCCD


ABSTRACT: Purpose: The goal of this study is to identify vasopressin-regulated genes in mouse kidney collecting duct cell line mpkCCD. To explore dynamic regulation of vasoressin-mediated transcriptional regulation, transcriptome of vasopressin-treated cells at four different time points (3h, 6h, 12h, and 24h) were profiled and analyzed. Methods: Total RNAs were isolated from vasopressin-treated mpkCCD cells at different time points (3h, 6h, 12h, and 24h). Three replicates for vehicle- or vasopressin-treated group were generated at each tested time point. cDNA libraries were prepared using a Nextera DNA library preparation protocol. The sequence reads from Illumina HiSeq3000 platform were qualified and quantified at the transcript level using Salmon (0.14.1). Differential expression analysis were performed using edgeR. Results: mRNA profiles of mouse kidney collecting duct mpkCCD cells treated with vasopressin analog (dDAVP) for four different time potins (3h, 6h, 12h, and 24h) were generated using an optimized RNA-Seq workflow. Transcript level quantification using a pseudo-alignment quantification method (Salmon) was performed to calculate transcript abundance in each sample. Then differential expression analysis identified the differentially expressed genes including Aqp2 gene at each time point comparison (dDAVP vs vehicle, FDR < 0.05). In addition, several new vasopressin-responsive genes that have not been elucidated before were identified. Conclusions: This study revealed dynamic changes of vasopressin-responsive gene expression within 24 hours in mouse kidney collecting duct cells. The results from time-course transcriptome profiling identified the known vasopressin-responsive genes and several novel gene that are regulated temporally.

ORGANISM(S): Mus musculus

PROVIDER: GSE163566 | GEO | 2021/07/22

REPOSITORIES: GEO

Similar Datasets

2010-12-09 | E-GEOD-19938 | biostudies-arrayexpress
2023-06-01 | GSE228762 | GEO
2016-07-01 | E-GEOD-79525 | biostudies-arrayexpress
2013-10-02 | PXD000399 | Pride
2007-10-06 | E-GEOD-5953 | biostudies-arrayexpress
2023-11-17 | GSE243773 | GEO
2007-10-07 | GSE5953 | GEO
2010-12-09 | GSE19938 | GEO
2018-03-26 | GSE108786 | GEO
2014-06-21 | GSE58693 | GEO