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Integrative genomics identifies molecular alterations that challenge the linear model of melanoma progression.
Cell line
View SamplesThe two most common melanoma histopathologic subtypes, superficial spreading (SSM) and nodular melanoma (NM), are believed to represent sequential phases of linear progression from radial to vertical growth. Studies suggest, however, that SSM and NM are biologically distinct. We utilized an integrative genomic approach to examine the possibility that SSM and NM are the result of independent pathways characterized by unique molecular alterations. Cell lines including SSM, NM, metastatic melanoma, and melanocyte controls were evaluated for copy number changes and differential mRNA expression using single nucleotide polymorphism array (SNP 6.0, Affymetrix) and gene array (U133A 2.0, Affymetrix). Data sets were integrated to identify copy number alterations that correlated with gene expression, and array results were validated using immunohistochemistry on human tissue microarrays (TMAs) and an external data set. The functional effect of genomic deletion was assessed by lentiviral overexpression. Integrative genomics revealed 8 genes in which NM/SSM-specific copy number alterations were correlated with NM/SSM differential gene expression (P<0.05, Spearmans rank). Pathways analysis of differentially expressed genes (N=114) showed enrichment for metabolic-related processes. SSM-specific genomic deletions (DIS3, MTAP, G3BP2, SEC23IP, USO1) were verified in an expanded panel of cell lines, and forced overexpression of MTAP in SSM resulted in reduced cell growth. Metabolism-related gene ALDH7A1 was verified as overexpressed in NM using human TMAs.The identification of recurrent genomic deletions in SSM not present in NM challenges the linear model of melanoma progression and supports the unique molecular classification of SSM and NM.
Integrative genomics identifies molecular alterations that challenge the linear model of melanoma progression.
Cell line
View SamplesThe discovery of direct downstream targets of transcription factors (TFs) is necessary for understanding the genetic mechanisms underlying complex, highly regulated processes such as development. In this report, we have used a combinatorial strategy to conduct a genome-wide search for novel direct targets of Eyeless (Ey), a key transcription factor controlling early eye development in Drosophila. Like many other TFs, little is known for Ey direct downstream targets. To date, only one gene, sine oculis (so), has been identified as Ey direct targets in Drosophila. Therefore, it is crucial to identify additional targets in order to gain a better understanding of ey function. To overcome the lack of high quality consensus binding site sequences, phylogenetic shadowing of Ey binding sites in so was used to construct a position weight matrix (PWM) of the Ey protein. This PWM was then used for in silico prediction of potential binding sites in the Drosophila melanogaster genome. To reduce the false positive rate, conservation of these potential binding sites was assessed by comparing the genomic sequences from seven Drosophila species. In parallel, microarray analysis of wild-type versus ectopic ey-expressing tissue, followed by microarray-based epistasis experiments in an atonal (ato) mutant background, identified 188 genes induced by ey. Intersection of in silico predicted conserved Ey binding sites with the candidate gene list produced through expression profiling yields a list of 20 putative ey-induced, eye-enriched, ato-independent, direct targets of Ey, including so. The accuracy of this list of genes was confirmed using both in vitro and in vivo methods. Initial analysis reveals three genes, eyes absent, shifted, and Optix, as novel direct targets of Ey. These results suggest that the integrated strategy of computational biology, genomics, and genetics is a powerful approach that can be applied to systematically identify direct downstream targets for any transcription factor genome-wide.
Genome-wide identification of direct targets of the Drosophila retinal determination protein Eyeless.
No sample metadata fields
View SamplesMicroarray profiling using the Affymetrix GeneChip Human Genome U133 plus 2.0 arrays was performed to comprehensively determine global changes in transcript levels in bronchial epithelial cells following elastase treatment. Elastase caused a significant change in expression (P < 0.05, fold change 1.5) of 364 transcripts corresponding to 348 genes. Elastase affected the expression of signaling molecules including chemokines, cytokines, and receptors, as well as components of the spliceosome, transcription machinery, cell cycle and ubiquitin-mediated proteolysis.
Potent elastase inhibitors from cyanobacteria: structural basis and mechanisms mediating cytoprotective and anti-inflammatory effects in bronchial epithelial cells.
Specimen part, Treatment
View SamplesTo understand the underlying cause for the observed apoptosis in E2f1-3 deficient myeloid cells. We compared gene expression profiles of Cd11b+ sorted myeloid cells isolated from bone marrow of control (E2F1-/- ) and experimental (Mxcre;E2F1-/-2-/-3f/f ) mice.
E2f1-3 are critical for myeloid development.
Age, Specimen part
View SamplesWe report RNA-Seq data of S.cerevisiae PPN1 knock-out yeast strain and PPN1 overproducing transformant yeast strain grown to logarithmic stage in control medium and in the medium containing 5mM manganese. Overall design: Yeast were grown to logarithmic growth stage in control YPD medium and in YPD medium with 5 mM MnSO4.
The Reduced Level of Inorganic Polyphosphate Mobilizes Antioxidant and Manganese-Resistance Systems in <i>Saccharomyces cerevisiae</i>.
Cell line, Subject
View SamplesBackground. Most colorectal cancers (CRC) arise in a progression through adenoma to carcinoma phenotypes as a consequence of altered genetic information. Clinical progression of CRC may occur in parallel with distinctive signaling alterations. We designed multidirectional analyses integrating microarray-based data with biostatistics and bioinformatics to elucidate the signaling and metabolic alterations underlying CRC development in the adenoma-carcinoma sequence. Methodology/Principal Findings. Studies were performed on normal mucosa, adenoma, and CRC samples obtained during surgery or colonoscopy. Collections of cryostat sections prepared from the tissue samples were evaluated by a pathologist to control the relative cell type content. RNA was isolated from 105 macro- and 40 microdissected specimens. The measurements were done using Affymetrix GeneChip HG-U133plus2, and probe set data were generated using two normalization algorithms: MAS5 and GCRMA with LVS. The data were evaluated using pair-wise comparisons and data decomposition into SVD modes. The method selected for the functional analysis used the Kolmogorov-Smirnov test. Based on a consensus of the results obtained by two tissue handling procedures, two normalization algorithms, and two probe set sorting criteria, we identified six KEGG signaling and metabolic pathways (cell cycle, DNA replication, p53 signaling pathway, purine metabolism, pyrimidine metabolism, and RNA polymerase) that are significantly altered in both macro- and microdissected tumor samples compared to normal colon. On the other hand, pathways altered between benign and malignant tumors were identified only in the macrodissected tissues. Conclusion/Significance. Multidirectional analyses of microarray data allow the identification of essential signaling alterations underlying CRC development. Although the proposed strategy is computationally complex and laborintensive, it may reduce the number of false results.
Modeling oncogenic signaling in colon tumors by multidirectional analyses of microarray data directed for maximization of analytical reliability.
Sex, Age, Specimen part
View SamplesWe examined the gene expression profiles in ex vivo human CD4+ and CD8+ T cells from untreated HIV-infected individuals at different clinical stages and rates of disease progression. Profiles of pure CD4+ and CD8+ T cells subsets from HIV-infected nonprogressors who controlled viremia were indistinguishable from HIV-uninfected individuals. Similarly, no gene clusters could distinguish T cells from individuals with early from chronic progressive HIV infection, whereas differences were observed between uninfected or nonprogressors versus early or chronic progressors. In early/chronic HIV infection, three characteristic gene expression signatures were observed: (1) CD4+ and CD8+ T cells showed increased expression of interferon stimulated genes (ISGs). However, some ISGs including CXCL9, CXCL10, and CXCL11, and the IL15R in both CD4+ and CD8+ T cells and the anti-HIV ISG APOBEC3G in CD4+ T cells, were not upregulated. (2) CD4+ and CD8+ T cells showed a cluster similar to that observed in thymocytes, and (3) more genes were differentially regulated in CD8+ T cells than in CD4+ T cells, including a cluster of genes downregulated exclusively in CD8+ T cells. In conclusion, HIV infection induces a persistent T cell transcriptional profile, early in infection, characterized by a dramatic but potentially aberrant interferon response, and a profile suggesting an active thymic output.
Distinct transcriptional profiles in ex vivo CD4+ and CD8+ T cells are established early in human immunodeficiency virus type 1 infection and are characterized by a chronic interferon response as well as extensive transcriptional changes in CD8+ T cells.
No sample metadata fields
View Samplestranscriptome response of Arabidopsis cultivar Columbia etiolated seedlings and undifferentiated tissue culture cells to the spaceflight environment
Spaceflight transcriptomes: unique responses to a novel environment.
Age, Specimen part
View SamplesGenetic deletion of Nfatc1 in mice results in profound osteoclast-poor osteopetrosis, a high bone mass state caused by a lack of osteoclast activity. We hypothesized that the family of NFATc1 regulated transcripts in the osteoclast would be enriched for genes associated with osteoclast function. We used microarrays profile gene expression in wild-type and NFATc1-deficient osteoclasts generated in vitro to identify NFATc1-dependent transcripts in osteoclasts.
NFATc1 in mice represses osteoprotegerin during osteoclastogenesis and dissociates systemic osteopenia from inflammation in cherubism.
Specimen part
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