Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Differential analysis of HOXA1 in adult cells at isoform resolution by RNA-Seq [Illumina]

ABSTRACT: High-throughput RNA sequencing (RNA-Seq) has enabled accurate gene discovery and expression estimation, but robust differential analysis of gene and transcript abundances has proven difficult. We present a new algorithm, implemented in the freely available tool Cuffdiff, which integrates transcript-level expression estimation with a method to control for variability across replicate samples. Cuffdiff robustly identifies differentially regulated isoforms and genes and reveals differential splicing or promoter-preference changes. We demonstrate the accuracy of our approach through differential analysis of lung fibroblasts in response to loss of the developmental transcription factor HOXA1 and uncover a critical role for this gene in the maintenance of adult cells. We show that HOXA1 is required for lung fibroblast and HeLa cell cycle progression, and loss of HOXA1 results in significant expression level changes in thousands of individual transcripts, along with isoform switching events in key regulators of the cell cycle. Lung Fibroblasts were transfected with either a HOXA1 directed siRNA pool or a scramble non-targeting siRNA control. RNA was collected 48 hours after transfection and changes in gene expression were assayed for using Agilent microarrays.

ORGANISM(S): Homo sapiens

SUBMITTER: Cole Trapnell

PROVIDER: E-GEOD-37703 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Shared Molecules

Only show the datasets with similarity scores above: 0.5

Threshold

0.5

Similar Datasets

Project description:Long noncoding RNAs (lncRNAs) have emerged as key players in different cellular processes and are required for diverse functions in vivo. However, fundamental aspects of lncRNA biology remain poorly characterized, including their subcellular localization, abundance and variation at a single cell resolution. Here, we used single molecule, single-cell RNA fluorescence in situ hybridization (RNA FISH) to survey 61 lncRNAs, chosen by properties such as conservation, tissue specific expression, and expression abundance, and to catalog their abundance and cellular localization patterns in three human cell types. Our lncRNAs displayed diverse sub-cellular localization patterns ranging from strictly nuclear localization to almost exclusive cytoplasmic localization, with the majority localized primarily in the nucleus. The low abundance of these lncRNAs as measured in bulk cell populations cannot be explained by high expression in a small subset of 'jackpot' cells. Simultaneous analysis of lncRNAs and mRNAs from corresponding divergently transcribed loci showed that divergent lncRNAs do not present a distinct localization pattern and are not always co-regulated with their neighbor. Overall, our study highlights important differences and similarities between lncRNAs and mRNAs. The rich set of localization patterns we observe are consistent with a broad range of potential functions for lncRNA, and assists in hypothesis generation for mechanistic studies. Here we provide the RNA-Seq expression matrix, as well as RNA-Seq raw data, which we used for comparison with RNA FISH molecule counts. We estimate FPKM of coding genes and lncRNAs across HeLa, human lung fibroblasts and human foreskin. This study includes data from human foreskin fibroblasts (hFF), human lung fibroblasts (hLF), and HeLa cells. An hFF sample (GSM1376178) and the hLF samples (GSM1376175-GSM1376177) were previously submitted and are available in GSE30554 as GSM759893 and GSM759890-GSM759892, respectively. The HeLa samples (GSM591670-GSM591671) were previously submitted and are available in GSE23316. The complete dataset representing: (1) the hFF Samples, including the re-analysis of the hFF Sample from GSE30554, (2) the re-analysis of the hLF Samples from GSE30554, and (3) the re-analysis of the HeLa Samples from GSE23316, is linked below as a supplementary file.

Project description:The early stages of the immune response against aberrant tissues such a tumors are technically difficult to study and therefore little understood. To analyze the innate immune response towards modified self-tissue we expressed a dominant-active version of the Ras oncogene in Drosophila imaginal discs and salivary glands. Signs of an immune response are observed on wings of adult flies, which show spots of melanization and in larvae, where the salivary glands attract blood cells. In line with the strong response mounted against salivary glands, they are found to express metalloproteases and apoptotic markers making them both accessible and recognizable for the immune system. The response against the glands bears several hallmarks of an encapsulation response including flattening of plasmatocytes, differentiation of lamellocytes, attachment of crystal cells and melanization at the final stage. RNA sequencing of the fat body, the primary producer of immune effectors, reveals a pattern of induced genes, which overlaps the one previously found upon wasp infestation but shows also several specific features. Evidence for the functional importance of one of the induced genes is presented proving the power of our approach to identify regulators of the response against modified self. Transcriptome analysis of the immune response in the fat body after expression of dominant-active RAS in the wing imaginal discs and salivary glands. Comparison of fat bodies from 3 control and 3 RAS-expressing larvae. For each sample fat bodies from 40 individuals were dissected. Differential gene expression files [output of Cuffdiff] are linked below: ResultsContr123vsRas123Individual.xls: Output file of Cuffdiff. Differential gene expression analysis, three control compared to individual Ras induced; replicate analysis using Cuffdiff. ResultsContr123vsRas123Multiple.xls: Output file of Cuffdiff. Differential gene expression analysis, three control compared to three Ras induced; replicate analysis using Cuffdiff. ResultsContr123vsRas12Multiple.xls: Output file of Cuffdiff. Differential gene expression analysis, three control compared to two Ras induced; replicate analysis using Cuffdiff.