Transcriptomics

Dataset Information

0

Comparison of CWC27 knockdown in HEK293T cells compared to scrambled shRNA control


ABSTRACT: HEK293T cells transduced with shRNA from MISSION library TRCN0000000139 using lentiviral delivery system. HEK293T cells transduced with scrambled shRNA, gifted from Dr. Mauricio Reginato. Sequence is 5′-CCTAAGGTTAAGTCGCCCTCGCTCTAGCGAGGGCGACTTAACCTT-3′. Tara L Davis, S. RaElle Jackson, Beth Adams, Anh Trinh, Peter Naranjo, and Angie Giang performed primary experimental contributions to cell lines, RNA/cDNA preparation, and validation of results, all Drexel University College of Medicine, Philadelphia, PA 19102. Hetty Rodriguez and John Tobias performed Bioanalyzer and microarray expreriments, and initial data processing. Affiliation: Molecular Profiling Facility and Genomic Analysis Core Bioinformatics Group, University of Pennsylvania. Human CWC27 (aliases: NY-CO-10, Serologically Defined Colon Cancer Antigen 10 or SDCCAG-10) is a cyclophilin, an enzyme that interconverts cis and trans isomers of proline. The CWC27 gene, in addition to the cyclophilin domain, encodes for two low complexity regions and a coiled coil region. CWC27 associates with the human spliceosome, the complex and dynamic machinery that removes intronic sequence from pre-messenger RNA (pre-mRNA). Nothing is known about the function of CWC27 in the nucleus. To understand the function of CWC27, we knocked down CWC27 in human cells. We characterized a set of alternative splicing and transcriptional events that are CWC27-responsive. We used these splicing and transcriptional bioassays to show that CWC27-responsive events are largely specific, even within the cyclophilin family.

ORGANISM(S): Homo sapiens

PROVIDER: GSE117144 | GEO | 2018/10/01

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2018-10-01 | GSE117373 | GEO
2018-10-01 | GSE117381 | GEO
2018-10-01 | GSE117302 | GEO
2018-10-01 | GSE117234 | GEO
2018-10-01 | GSE117178 | GEO
2018-10-01 | GSE117376 | GEO
2018-10-01 | GSE117390 | GEO
2018-10-01 | GSE117384 | GEO
2013-09-12 | E-GEOD-50756 | biostudies-arrayexpress
2018-07-03 | GSE116509 | GEO