Matching sets of RfxCasR and shRNAs targeting ANXA4 and B4GALNT1 plus non-targeting (NT) controls were profiled by mRNA sequencing to compare non-specific transcriptome perturbations for both shRNA and RfxCasR technologies. Overall design: Three biological replicates for 3 shRNAs and 2 RfxCasR guide RNAs plus 2 RfxCasR arrays expresssed in HEK 293FT cells
Transcriptome Engineering with RNA-Targeting Type VI-D CRISPR Effectors.
Cell line, Treatment, Subject
View SamplesIncreasing the understanding of the impact of changes in oncogenes and tumor suppressor genes is essential for improving the management of lung cancer. Recently, we identified a new mouse lung-specific tumor suppressor - the G-protein coupled receptor 5A (Gprc5a). We sought to understand the molecular consequences of Gprc5a loss and towards this we performed microarray analysis of the transcriptomes of lung epithelial cells cultured from normal tracheas of Gprc5a knockout and wild-type mice to define a loss-of-Gprc5a gene signature. Moreover, we analyzed differential gene expression patterns between Gprc5a knockout normal lung epithelial cells as well as lung adenocarcinoma cells isolated and cultured from tumors of NNK-exposed Gprc5a knockout mice.
A Gprc5a tumor suppressor loss of expression signature is conserved, prevalent, and associated with survival in human lung adenocarcinomas.
Specimen part
View SamplesWe sought to identify the carcinogenic mechanisms involved in RKO cell line with no evidence of activated -catenin/TCF regulated transcription, by comparison its gene expression profile to that of group of colorectal cancer cell lines selected to be mismatch repair
The Role of Chromosomal Instability and Epigenetics in Colorectal Cancers Lacking β-Catenin/TCF Regulated Transcription.
Cell line
View SamplesGenes differentially expressed among cells constituting an in vitro human lung carcinogenesis model consisting of normal, immortalized, transformed and tumorigenic bronchial epithelial cells were identified. The differentially expressed genes were then analyzed to determine their relevance to the gene expression patterns of clinical non-small cell lung cancer (NSCLC) samples as well as the clinical outcome of patients with this disease.
Identification of gene signatures and molecular markers for human lung cancer prognosis using an in vitro lung carcinogenesis system.
Cell line
View SamplesTranscriptom analysis of microdissect adrenal medulla after 8 weeks of cardiac pressure overload caused by transverse aortic constriction.
Chronic cardiac pressure overload induces adrenal medulla hypertrophy and increased catecholamine synthesis.
Sex
View SamplesThese samples have been analyzed for global alternative splicing variation on exon-level expression data using the FIRMA algorithm. We have identified and described transcriptome instability as a genome-wide, pre-mRNA splicing related characteristic of solid cancers.
Transcriptome instability as a molecular pan-cancer characteristic of carcinomas.
Specimen part
View SamplesThe highly conserved protein eIF5A found in archaea and all eucaryotes uniquely contains the posttranslationally formed amino acid hypusine. Despite being essential the functions of this protein and its modification remain unclear. To gain more insight into these functions temperature sensitive mutants of the human EIF5A1 were characterized in the yeast Saccharomyces cerevisiae.
Temperature-sensitive eIF5A mutant accumulates transcripts targeted to the nonsense-mediated decay pathway.
No sample metadata fields
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Transcriptome instability in colorectal cancer identified by exon microarray analyses: Associations with splicing factor expression levels and patient survival.
Specimen part
View SamplesColorectal cancer is a heterogeneous disease molecularly characterized by inherent genomic instabilities, chromosome instability and microsatellite instability. In the present study we propose transcriptome instability as an analogue to genomic instability on the transcriptome level. Exon microarray data from two independent series of altoghether 160 colorectal cancer tissue samples was used for global alternative splicing detection using the FIRMA algorithm (aroma.affymetrix). The sample-wise amounts of these alternative splicing scores exceeding a defined threshold (deviating exon usage amounts) were summarized to provide the basis for description of transcriptome instability. This characteristic was shown to be associated with splicing factor expression levels and patient survival in both independent sample series.
Transcriptome instability in colorectal cancer identified by exon microarray analyses: Associations with splicing factor expression levels and patient survival.
Specimen part
View SamplesColorectal cancer is a heterogeneous disease molecularly characterized by inherent genomic instabilities, chromosome instability and microsatellite instability. In the present study we propose transcriptome instability as an analogue to genomic instability on the transcriptome level. Exon microarray data from two independent series of altoghether 160 colorectal cancer tissue samples was used for global alternative splicing detection using the FIRMA algorithm (aroma.affymetrix). The sample-wise amounts of these alternative splicing scores exceeding a defined threshold (deviating exon usage amounts) were summarized to provide the basis for description of transcriptome instability. This characteristic was shown to be associated with splicing factor expression levels and patient survival in both independent sample series.
Transcriptome instability in colorectal cancer identified by exon microarray analyses: Associations with splicing factor expression levels and patient survival.
Specimen part
View Samples