Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Discovery of cis-spliced chimeric RNAs between adjacent genes in human prostate cells

ABSTRACT: Total RNA extracted from prostate cancer LNCaP cells transfected with siRNA against CTCF(siCTCF), or negative control siRNA (si-)were processed, and sequenced by two different companies using Illumina Hi-seq 2000 platform to generate RNA sequencing with two output sequences: paired-end 50bp and 101bp in read length. Nearly 100 million and 50 million raw reads were yielded from each sample respectively. We used FastQC to confirm the quality of raw fastq sequencing data, and SOAPfuse software to detect fusion transcripts. Discovering fusion genes from siCTCF and si- in LNCaP cells.

ORGANISM(S): Homo sapiens

SUBMITTER: Fujun Qin

PROVIDER: E-GEOD-63487 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Discovery of CTCF-sensitive Cis-spliced fusion RNAs between adjacent genes in human prostate cells.

Qin Fujun F Song Zhenguo Z Babiceanu Mihaela M Song Yansu Y Facemire Loryn L Singh Ritambhara R Adli Mazhar M Li Hui H

PLoS genetics 20150206 2

Genes or their encoded products are not expected to mingle with each other unless in some disease situations. In cancer, a frequent mechanism that can produce gene fusions is chromosomal rearrangement. However, recent discoveries of RNA trans-splicing and cis-splicing between adjacent genes (cis-SAGe) support for other mechanisms in generating fusion RNAs. In our transcriptome analyses of 28 prostate normal and cancer samples, 30% fusion RNAs on average are the transcripts that contain exons bel ...[more]

PMID: 25658338

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Project description:Purpose: To determine global gene expression changes following siRNA knockdown of Myc, Kcnk1, and Snta1 compared to non-targeting siRNAs or mock-transfected cells Methods: Total RNA was processed using the Illumina TruSeq Stranded mRNA Sample Preparation Kit according to manufacturer’s protocol. Generated cDNA libraries were sequenced using an Illumina HiSeq 2000 sequencer with four biological replicates sequenced per condition using single read, 50 cycle runs. Quality of sequencing reads were assessed using FastQC (Babraham Bioinformatics) and then aligned to a reference genome (hg19, UCSC Genome Browser) using TopHat. Sequencing yielded, on average, 23.7 million unique reads per sample with a 60.7 - 65.7% mapping rate. Cufflinks was used to generate transcript abundance for each annotated protein-coding gene as Fragments Per Kilobase of transcript per Million mapped reads (FPKM), and statistical analysis and comparison of FPKM values was calculated using R (Bioconductor). Results: Fold changes comparing mock and a non-targeting siRNA were highly congruent. Myc RNAi induced numerous changes, with 955 downregulated genes and 1214 upregulated genes. The effect on Myc itself was relatively modest, possibly reflecting its ability to negatively auto-regulate its own expression. Gene ontology analysis highlighted ribosome biogenesis, metabolism, gene expression, cell cycle, and apoptosis pathways, consistent with known Myc functions. The Kcnk1 siRNA affected 424 genes, with KCNK1 itself one of the most repressed. While gene ontology analysis also highlighted metabolism and biosynthesis pathways, the p-values and fold enrichment scores were substantially lower, indicating that DiM can be suppressed without major effects on metabolism and biosynthesis pathways. The Snta1 siRNA deregulated 575 genes, with SNTA1 itself the most repressed gene. Cell cycle and mitosis-related gene ontology terms feature heavily, consistent with this siRNA accelerating mitotic exit. Interestingly, FoxM1, which drives G2/M gene expression was reduced 1.75-fold, indicating that this siRNA may disrupt mitotic controls by deregulating FoxM1. Conclusions: Global gene expression profiling identifies Egr1 as regulator of mitotic cell fate. Total RNA was extracted from at least four replicates of siRNA-transfected cells and libraries for sequencing was prepared for each replicate.

Dataset Information

Discovery of cis-spliced chimeric RNAs between adjacent genes in human prostate cells

Publications

Discovery of CTCF-sensitive Cis-spliced fusion RNAs between adjacent genes in human prostate cells.

Similar Datasets

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