Forty-four paired (from the same patient) samples of head and neck squamous cell carcinoma (HNSCC) and normal tissue were studied with Affymetrix U95A chips. A stringent multi-test approach, combining 7 traditional and microarray-specific statistical tests, was used to analyze the resultant data. Candidate genes were assigned to tiers of significance based on the number of statistical tests that each gene satisfied. Representative genes (both up-regulated and down-regulated) from each of the 3 tiers would be quantified with RT-PCR on both microarray-tested and new samples of HNSCC.
Selection and validation of differentially expressed genes in head and neck cancer.
No sample metadata fields
View SamplesWomen suffer chronic pain more frequently than men. It is not clear whether this is due to differences in higher level cognitive processes or basic nociceptive responses. This study used a mouse model to dissociate these factors and found no differences in peripheral afferent neurons or in the spinal cord immune response to neuropathic injury. However, it did identify potential sexual dimorphisms in peripheral adaptive immune responses. Overall design: RNA-seq of naïve FACS-purified DRG neurons and MACS-purified DRG neurons after partial sciatic nerve ligation (day 8): comparison of male versus female samples
Sex differences in peripheral not central immune responses to pain-inducing injury.
Sex, Specimen part, Cell line, Subject
View SamplesmRNA-sequencing from ribosomal RNA-depleted cardiac total RNA was performed 9 weeks after injection of rAAV6-PLCb1a, rAAV6-PLCb1b or rAAV6-blank viri into the tail vein of C57BL/6 male mice (7-8 weeks of age at time of injection). Overall design: 6 biological replicates each of rAAV6-PLCb1a, rAAV6-PLCb1b or rAAV6-blank-treated mice.
Chronic Contractile Dysfunction without Hypertrophy Does Not Provoke a Compensatory Transcriptional Response in Mouse Hearts.
Sex, Age, Specimen part, Cell line, Subject
View SamplesThis dataset is a time series (1 hour [h], 4 hours, 24 hours, 48 hours, 1 week [w], and 8 weeks) intended to compare normal functioning left ventricles [lv + lv2] with infarcted [ilv] and non-infarcted left ventricles [nilv]. Ilv samples are taken from the region between the LAD artery and the apex on a mouse with myocardial infarction. Lv2 samples are from the same region in a sham operated mouse. Nilv samples are taken from the region above the infartion and the left ventricle [lv] samples mimic that region in a sham mouse. The lv and lv2 samples can be compared as both are from normal functioning hearts. For more information visit http://cardiogenomics.med.harvard.edu/groups/proj1/pages/mi_home.html
Mouse cardiac surgery: comprehensive techniques for the generation of mouse models of human diseases and their application for genomic studies.
No sample metadata fields
View SamplesNotch signaling plays both oncogenic and tumor suppressor roles, depending on cell type. In contrast to T cell acute lymphoblastic leukemia (T-ALL), where Notch activation promotes leukemogenesis, induction of Notch signaling in B-ALL leads to growth arrest and apoptosis. The Notch target Hairy/Enhancer of Split1 (HES1) is sufficient to reproduce this tumor suppressor phenotype in B-ALL, however the mechanism is not yet known. Here we report that HES1 regulates pro-apoptotic signals via the novel interacting protein Poly ADP-Ribose Polymerase1 (PARP1) in a cell type-specific manner. The interaction of HES1 with PARP1 inhibits HES1 function, induces PARP1 activation and results in PARP1 cleavage in B-ALL. HES1-induced PARP1 activation leads to self-ADP ribosylation of PARP1, consumption of NAD+, diminished ATP levels, and translocation of the Apoptosis Inducing Factor (AIF) from mitochondria to the nucleus, resulting in apoptosis in B-ALL, but not T-ALL. Importantly, induction of Notch signaling via the Notch agonist peptide DSL can reproduce these events and leads to BALL apoptosis. The novel interaction of HES1 and PARP1 in B-ALL modulates the function of the HES1 transcriptional complex and signals through PARP1 to induce apoptosis. This mechanism reveals a cell type-specific pro-apoptotic pathway which may lead to Notch agonist-based cancer therapeutics.
Notch/HES1-mediated PARP1 activation: a cell type-specific mechanism for tumor suppression.
Specimen part
View SamplesAcute renal allograft rejection is an important complication in kidney transplantation. Accurate diagnosis of rejection events is necessary for timely response and treatment. We illustrate the usefulness and biological relevance of selected multivariate approaches to detect rejection from genomic and proteomic signals. The data was used to study gene expression changes using whole genome microarray analysis of peripheral blood from subjects with acute rejection (n=20) and non-rejecting controls (n=20) to obtain insight into the molecular and biological causation of acute renal allograft rejection when combined with proteomics (iTRAQ) data for the same patients/time-points.
Novel multivariate methods for integration of genomics and proteomics data: applications in a kidney transplant rejection study.
Sex, Specimen part, Race
View SamplesMYC is induced early in human adipose stem cells in response to a standard MDIR adipogenic cocktail. The objective of this experiment was to identify key gene networks impacted by MYC loss-of-function in a mixed donor pool of human derived adipose stem cells.
MYC is an early response regulator of human adipogenesis in adipose stem cells.
Sex, Race
View SamplesRenal failure is characterized by important biological changes resulting in profound pleomorphic physiological effects termed uremia, whose molecular causation is not well understood. The data was used to study gene expression changes in uremia using whole genome microarray analysis of peripheral blood from subjects with end-stage renal failure (n=63) and healthy controls (n=20) to obtain insight into the molecular and biological causation of this syndrome.
Alteration of human blood cell transcriptome in uremia.
Sex, Specimen part, Disease, Disease stage, Race
View SamplesAcute cardiac allograft rejection is a serious complication of heart transplantation. Investigating molecular processes in whole blood via microarrays is a promising avenue of research in transplantation, particularly due to the non-invasive nature of blood sampling. However, whole blood is a complex tissue and the consequent heterogeneity in composition amongst samples is ignored in traditional microarray analysis. This complicates the biological interpretation of microarray data. Here we have applied a statistical deconvolution approach, cell-specific significance analysis of microarrays (csSAM), to whole blood samples from subjects either undergoing acute heart allograft rejection (AR) or not (NR). We identified eight differentially expressed probe-sets significantly correlated to monocytes (mapping to 6 genes, all down-regulated in ARs versus NRs) at a false discovery rate (FDR) <= 15%. None of the genes identified are present in a biomarker panel of acute heart rejection previously published by our group and discovered in the same data.
White blood cell differentials enrich whole blood expression data in the context of acute cardiac allograft rejection.
No sample metadata fields
View SamplesA673 cells were exposed in triplicate to three agrichemicals for 24hrs at 8 concentrations and a DMSO vehicle control (0.001, 0.003, 0.01, 0.03, 0.1, 0.3, 1, 3, and 10 M plus DMSO vehicle controls). While a common set of DMSO controls was used, these CEL files were RMA normalized independently with each of the chemical treated groups. Gene expression was measured on an Affymetrix GeneTitan system. The compounds used were fenbuconazole (a.k.a FENB, CAS # 114369-43-6) a triazole fungicide, imazalil (a.k.a. IMAZ, CAS # 35554-44-0), an azole pesticide, and 2,4-dichlorophenoxyacetic acid (a.k.a. 2,4-D or 2-4-D in file names, CAS # 94-75-7), a chlorophenoxy herbicide.
A Qualitative Modeling Approach for Whole Genome Prediction Using High-Throughput Toxicogenomics Data and Pathway-Based Validation.
Specimen part, Cell line
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