We have used an agnostic approach to identify drug combinations by using combination high throughput screening (cHTS) technology and make the surprising discovery that adenosine A2A and beta-2 adrenergic receptor agonists are highly synergistic, selective and novel agents that enhance glucocorticoid activity in B-cell malignancies.
Adenosine A2A and beta-2 adrenergic receptor agonists: novel selective and synergistic multiple myeloma targets discovered through systematic combination screening.
Specimen part, Cell line
View SamplesGene expression analysis identified a CRC related signature of differentially expressed genes discriminating patients Responder and Non Responder to radiochemotherapy
A functional biological network centered on XRCC3: a new possible marker of chemoradiotherapy resistance in rectal cancer patients.
Sex, Age, Specimen part, Disease, Disease stage
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Inactivation of the budding yeast cohesin loader Scc2 alters gene expression both globally and in response to a single DNA double strand break.
No sample metadata fields
View SamplesGenome integrity is fundamental for cell survival and cell cycle progression. Important mechanisms for keeping the genome intact are proper sister chromatid segregation, correct gene regulation and efficient repair of damaged DNA. Cohesin and its DNA loader, the Scc2/4 complex have been implicated in all these cellular actions. The gene regulation role has been described in several organisms. In yeast it has been suggested that the proteins in the cohesin network would effect transcription based on its role as insulator. More recently, data are emerging indicating direct roles for gene regulation also in yeast. Here we extend these studies by investigating whether the cohesin loader Scc2 is involved in regulation of gene expression. We performed global gene expression profiling in the absence and presence of DNA damage, in wild type and Scc2 deficient G2/M arrested cells, when it is known that Scc2 is important for DNA double strand break repair and formation of damage induced cohesion. We found that not only the DNA damage specific transcriptional response is distorted after inactivation of Scc2, but also the overall transcription profile. Interestingly, these alterations did not correlate with changes in cohesin binding.
Inactivation of the budding yeast cohesin loader Scc2 alters gene expression both globally and in response to a single DNA double strand break.
No sample metadata fields
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Cytokeratin-19 positivity is acquired along cancer progression and does not predict cell origin in rat hepatocarcinogenesis.
Specimen part
View SamplesAnalysis of early changes in the R-H model of carcinogenesis in order to investigate the relationship between oval cell proliferation and preneoplastic foci
Cytokeratin-19 positivity is acquired along cancer progression and does not predict cell origin in rat hepatocarcinogenesis.
Specimen part
View SamplesAnalysis of early changes in the R-H model of carcinogenesis in order to investigate the relationship between oval cell proliferation and preneoplastic foci
Cytokeratin-19 positivity is acquired along cancer progression and does not predict cell origin in rat hepatocarcinogenesis.
Specimen part
View SamplesTranscriptome analyses of memory CDKN2A-/- CD8 T lymphocytes expressing an active form of the transcription factor Stat5.
Control of CD8 T cell proliferation and terminal differentiation by active STAT5 and CDKN2A/CDKN2B.
Specimen part
View SamplesThe identification of novel tumor-specific markers may improve understanding of melanoma progression and prognostic accuracy. Whole genome expression profiling of 46 primary melanomas, 12 metastases, and 16 normal skin samples using Affymetrix U133 PLUS 2.0 array generated gene lists including both known and new melanoma genes.
Transcriptome profiling identifies HMGA2 as a biomarker of melanoma progression and prognosis.
Sex, Age, Disease
View SamplesHuman samples of 33 adrenocortical carcinomas, 22 adrenocortical adenomas, and 10 normal adrenal cortex samples, each from a different patient, had mRNA assays performed using Affymetrix HG_U133_plus_2 arrays, with 54675 probe-sets. We note that the same array data is in GEO series GSE33371, where we assayed the cancer samples for Beta-catenin staining or mutation, and make new comparisons based on those assays.
Molecular classification and prognostication of adrenocortical tumors by transcriptome profiling.
Sex, Age
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