Breast cancer is a major health problem affecting millions of women worldwide. Over 200,000 new cases are diagnosed annually in the USA, with approximately 40,000 of these cases resulting in death. HER2-positive (HER2+) breast tumors, representing 20–30 % of early-stage breast cancer diagnoses, are characterized by the amplification of the HER2 gene. However, the critical genes and pathways that become affected by HER2 amplification in humans are yet to be specifically identified. Furthermore, it is yet to be determined if HER2 amplification also affects the expression of long intervening non-coding (linc)RNAs, which are involved in the epigenetic regulation of gene expression. We examined changes in gene expression by next generation RNA sequencing in human tumors pre- and post- HER2 inhibition by trastuzumab in vivo, and changes in gene expression in response to HER2 knock down in cell culture models. We integrated our results with gene expression analysis of HER2+ tumors vs matched normal tissue from The Cancer Genome Atlas. The integrative analyses of these datasets led to the identification of a small set of mRNAs, and the associated biological pathways that become deregulated by HER2 amplification. Furthermore, our analyses identified three lincRNAs that become deregulated in response to HER2 amplification both in vitro and in vivo. Our results should provide the foundation for functional studies of these candidate mRNAs and lincRNAs to further our understanding of how HER2 amplification results in tumorigenesis. Also, the identified lincRNAs could potentially open the door for future RNA-based biomarkers and therapeutics in HER2+ breast cancer. Overall design: We compared changes in gene expression of both mRNAs and lincRNAs in BT474 cells that are treated with HER2 siRNAs vs cells treated with negative control siRNAs by RNA-seq.
Integrative transcriptome-wide analyses reveal critical HER2-regulated mRNAs and lincRNAs in HER2+ breast cancer.
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View SamplesTo get more insight in cause and consequences of proteinuria, we studied glomerular gene expression patterns before and after the onset of increased urinary albumin excretion in a proteinuric rat strain.
Increased dynamin expression precedes proteinuria in glomerular disease.
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View SamplesWe performed a 3' RACE of a novel HIV RNA TAR-gag in order to determine the sequence of the RNA at the 3' end. Our data had shown that TAR-gag was potentially a noncoding RNA and our hypothesis was that TAR-gag ended somewhere prior to the end of the gag region of the HIV genome. The 3' RACE experiment showed that TAR-gag actually consists of four different RNA clusters, the longest of which ends at 615 bases from the transcription start site; this is in the middle of the p17 region of the gag gene. In addition, we sequenced all host RNAs in the EVs. Overall design: RNA from J1.1 and U1 exosomes was isolated and converted to cDNA. Sequencing libraries of the cDNA were made and a 3' RACE was perforemed to determine how long TAR-gag RNA is. Please note that the clustering analysis (published in PMID 28536264) was done only on the unfragmented samples (i.e. *-U samples).
An Omics Approach to Extracellular Vesicles from HIV-1 Infected Cells.
Specimen part, Subject
View SamplesGene expressions of murine germinal center and naive B cells on Affymetrix platform
Multiple transcription factor binding sites predict AID targeting in non-Ig genes.
No sample metadata fields
View SamplesOverall goal: To elucidate the endothelial-specific role of Gata4 signaling in endothelial maturation and vascular maintenance. Purpose of analysis: To generate a transcriptional profile of Gata4-deficient endothelial cells in the adult myocardium under homeostatic conditions. Overall design: Experimental structure: Transcriptional profile generated using RNAseq and differential gene expression analyses of endothelial cells lacking Gata4 isolated from healthy hearts.
Gata4-Dependent Differentiation of c-Kit<sup>+</sup>-Derived Endothelial Cells Underlies Artefactual Cardiomyocyte Regeneration in the Heart.
Specimen part, Subject
View SamplesRNA sequencing was performed to determine the uniqueness of splenic follicular IgD low B cells compared to splenic follicular IgD high and marginal zone B cells. Overall design: Splenic follicular IgD low and IgD high , and MZ B cells were sorted by FACS from naïve 8-10 weeks old mice. Total RNA was isolated from the sorted cells using RNAqueous® -4PCR kit and RNA sequencing was performed. Splenocytes from five mice were pooled for each sorting. Three independent sorting was performed for each B cell subset.
Mature IgD<sup>low/-</sup> B cells maintain tolerance by promoting regulatory T cell homeostasis.
Specimen part, Cell line, Subject
View SamplesHuman mononuclear phagocytes comprise phenotypically and functionally overlapping subsets of dendritic cells (DC) and monocytes, but their identification remains elusive. By integrating high-dimensional single-cell protein and RNA expression data, we clearly delineated monocytes from conventional DC2 (cDC2), identifying new markers including CD88/CD89 for monocytes and HLA-DQ/Fc?RI? for cDC2, allowing their unambiguous characterization in blood and tissues. We also show that cDC2 can be subdivided into phenotypically and functionally distinct subsets based on CD5, CD163 and CD14 expression, including a unique subset of circulating inflammatory CD5-CD163+CD14+ cells related to previously defined DC3. These inflammatory DC3 were expanded in systemic lupus erythematosus patients, correlating with disease activity. Unravelling the heterogeneity of DC sub-populations in health and disease paves the way for specific DC subset-targeting therapies. Overall design: Indexed single cell RNAseq (scRNAseq) of human peripheral blood dendritic cells and monocytes
Single-Cell Analysis of Human Mononuclear Phagocytes Reveals Subset-Defining Markers and Identifies Circulating Inflammatory Dendritic Cells.
Specimen part, Subject
View SamplesCardiac fibroblasts convert to myofibroblasts with injury to mediate healing after acute myocardial infarction and to mediate long-standing fibrosis with chronic disease. Myofibroblasts remain a poorly defined cell-type in terms of their origins and functional effects in vivo. Methods: Here we generate Postn (periostin) gene-targeted mice containing a tamoxifen inducible Cre for cellular lineage tracing analysis. This Postn allele identifies essentially all myofibroblasts within the heart and multiple other tissues. Results: Lineage tracing with 4 additional Cre-expressing mouse lines shows that periostin-expressing myofibroblasts in the heart derive from tissue-resident fibroblasts of the Tcf21 lineage, but not endothelial, immune/myeloid or smooth muscle cells. Deletion of periostin+ myofibroblasts reduces collagen production and scar formation after myocardial infarction. Periostin-traced myofibroblasts also revert back to a less activated state upon injury resolution. Conclusions: Our results define the myofibroblast as a periostin-expressing cell-type necessary for adaptive healing and fibrosis in the heart, which arises from Tcf21+ tissue-resident fibroblasts. Overall design: Fluidigm C1 whole genome transcriptome analysis of lineage mapped cardiac myofibroblasts
Genetic lineage tracing defines myofibroblast origin and function in the injured heart.
Specimen part, Cell line, Subject
View SamplesIntroduction: Mechanisms that contribute to the pathogenesis of liver damage caused by hepatitis C virus (HCV) are not fully understood. Our previous work on liver biopsies from chronic HCV patients has shown modulation of the expression of certain cell cycle proteins indicating HCV-induced modifications of cell cycle events. We therefore hypothesize that HCV infection disrupts normal regulation of cell cycle that contributes to disease progression. Objective: To identify molecular disruptions during the course of HCV-associated disease progression, using liver biopsy specimens of chronic hepatitis C patients. Methods: Liver biopsy samples classified on histological basis as early (fibrosis stage 0-1) or advanced (fibrosis stage 3-4) disease stage were studied using oligonucleotide array ( HG U133 Plus 2.0, Affymetrix GeneChip System). For comparison, liver specimens from patients with non-viral hepatitis were also analyzed by microarray. Expression data was analyzed using Genespring (GX 7.2) and Ingenuity Pathway analysis (3.0). The differential expression of selected cell cycle genes (cyclin D2, KPNA2, HERC5 and Bcl-2) identified after microarray analysis was confirmed by quantitative real-time RT-PCR. Results: Microarray analysis revealed two-fold or greater transcriptional change in 792 genes of the total 38,500 known human genes in HCV-advance disease stage (HCV-A) as compared to HCV-early disease stage (HCV-E). Most of the genes have a defined role in immune response, extracellular matrix and cell cycle and apoptosis.
Gene profiling of early and advanced liver disease in chronic hepatitis C patients.
Specimen part, Disease, Disease stage
View SamplesUsing a library of tagged UNC1215 analogs, we screened a protein domain microarray of methyl-lysine effector molecules to rapidly detect compounds with novel binding profiles. Using this approach, we identified a compound (EML405) that acquired a novel interaction with the Tudor domain-containing protein Spindlin1 (SPIN1). Structural studies revealed that the symmetric nature of EML405 allows it to simultaneously engage two of SPIN1's Tudor domains, and also facilitated the rational synthesis of more selective SPIN1 inhibitor (EML631). The EML631 compound engages SPIN1 in cells, blocks its ability to “read” H3K4me3 marks, and inhibits its transcriptional coactivator activity. Overall design: RNA-seq of control, SPIN1 siRNA knockdown (24 hour post-transfection) and EML631 treated (10 mM, 3 days) T778 cells
Developing Spindlin1 small-molecule inhibitors by using protein microarrays.
Specimen part, Subject
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