Patients with oncogene driven tumors are currently treated with targeted therapeutics such as epidermal growth factor receptor (EGFR) inhibitors. The inhibited oncogenic pathway often interacts with other signaling pathways and alters predicted therapeutic response. Genomic data from The Cancer Genome Atlas (TCGA) demonstrates pervasive molecular alterations to EGFR, MAPK, and PI3K signaling in previously untreated tumors. Therefore, this study uses bioinformatics algorithms to infer the complex pathway interactions that result from EGFR inhibitor use in cancer cells that contain these these common EGFR network genetic alterations. To do this, we modified the HaCaT keratinocyte cell line model of premalignancy to simulate cancer cells with constitutive activation of EGFR, HRAS, and PI3K in a controlled genetic background. We then measured gene expression after treating modified HaCaT cells with three EGFR targeted agents (gefitinib, afatinib, and cetuximab) for 24 hours.
CoGAPS matrix factorization algorithm identifies transcriptional changes in AP-2alpha target genes in feedback from therapeutic inhibition of the EGFR network.
Cell line, Treatment
View SamplesTo determine the expression AP2-alpha target genes, global gene expression of 7 HNSCC cell lines with and without cetuximab treatment (100 nM, 24 hrs) and the HaCaT keratinocyte cell line was performed.
CoGAPS matrix factorization algorithm identifies transcriptional changes in AP-2alpha target genes in feedback from therapeutic inhibition of the EGFR network.
Specimen part, Cell line
View SamplesPurpose: The goal of this study is to identify differentially expressed genes in pry-1/Axin mutant compare to N2 wild-type (WT). Our study represents the first analysis of Axin transcriptome in C. elegans and facilitates investigations of axin mediated processes. Overall design: Whole animal total RNA was extracted from L1 synchronized worms and mRNA profiles of WT and pry-1(mu38) animals were generated by paired end deep sequencing, using Illumina HISeq 2000. The sequence reads that passed quality filters were analyzed using ce6 with Burrows–Wheeler Aligner (BWA) followed by eXpress to estimate transcript abundances. Differentially-expressed genes were called at a false discovery rate (FDR) of 0.05% using the DESeq package in R.
PRY-1/Axin signaling regulates lipid metabolism in Caenorhabditis elegans.
Cell line, Subject
View SamplesCD14+ monocytes sorted from the synovial fluid or peripheral blood of rheumatoid arthritis patients were analyzed by full transcriptome microarray analysis. Monocytes from healthy control samples (peripheral blood) were also profiled.
MicroRNA-155 contributes to enhanced resistance to apoptosis in monocytes from patients with rheumatoid arthritis.
Specimen part, Disease, Disease stage, Subject
View SamplesCotton fiber were used for the expression analysis at different developmental stages
Transcriptome dynamics during fibre development in contrasting genotypes of Gossypium hirsutum L.
No sample metadata fields
View SamplesAnalysis of step-wise transcriptome changes of reprogrammed cells in different stages during induced reprogramming.
Genome-wide functional analysis reveals factors needed at the transition steps of induced reprogramming.
No sample metadata fields
View SamplesAim: To examine transcriptional changes in DLD-1 cells exposed to softer matrices (2 kPa and 55 kPa) and identify the chromosomes that are enriched with maximmally deregulated genes Methods: DLD-1 cells (otherwise growing on stiff tissue culture plastic substrates) were exposed to softer matrices for 90 minutes and to collagen coated glass coverslips (served as control) served as control) Results: RNA sequencing revealed nearly equivalent transcriptional deregulation in cells on both the polyacrylamide matrices (783 genes up and 872 genes down on 2 kPa, 649 genes up and 783 genes down on 55 kPa) when compared to cells on glass. Additionally, GO classification revealed that unique sets of transcriptionally deregulated genes (log fold=2) belonged to pathways associated with transcription regulation, chromatin organization, cell cycle and DNA damage/repair Results: We identified chromosomes 1, 2, 3, 6, 7, 10, 12, 14, 17 and 19 to be maximally enriched with the deregulated genes on softer matrices (log fold=2), while chromosomes 13, 18 and 21 showed minimal enrichment of deregulated genes. We also examined the spatial organization of chromosome 1, 18 and 19 territories in cells on softer matrices (using 3D-FISH) and observed that these chromosomes were mislocalized away from their conserved nuclear locations Conclusions: Our study reports the transcriptomic changes in DLD-1 cells upon lowering of extracellular substrate stiffnes and its impact on the spatial positioning of chromosome territories Overall design: RNA Seq profiles for DLD-1 cells on soft polyacrylamide matrices of ~2 kPa and ~55 kPa (reference - glass) were generated across 2 independent biological replicates using Illumina HiSeq platform
Emerin modulates spatial organization of chromosome territories in cells on softer matrices.
Cell line, Subject
View SamplesCompares shFOXO4 vs. Control in LNCaP grown in culture, or in nude mice as primary orthotopic tumors or lymph node metastases
A genome-wide RNAi screen identifies FOXO4 as a metastasis-suppressor through counteracting PI3K/AKT signal pathway in prostate cancer.
Specimen part
View SamplesBaseline gene expression of adipose stem cell derived iPSCs generated by lentiviral Yamanaka 4 factors. We used microarrays to analyze the global gene expression of hACS derived iPSCs with KMOS and KMOS+miR-302.
MicroRNA-302 increases reprogramming efficiency via repression of NR2F2.
Specimen part
View SamplesSignificance of RNA methylation in the context of HIV-1 infection in human T cells Overall design: MeRIP-Seq of Control and HIV-infected MT4 T-Cells
Dynamics of the human and viral m(6)A RNA methylomes during HIV-1 infection of T cells.
No sample metadata fields
View Samples