This SuperSeries is composed of the SubSeries listed below.
Frequent MYC coamplification and DNA hypomethylation of multiple genes on 8q in 8p11-p12-amplified breast carcinomas.
Age, Specimen part
View SamplesGenomic and expression profiling using 38K BAC array-CGH and Illumina HT-12 beadchips were performed on 97 diploid invasive breast tumors to assess the impact of gene dosage on gene expression patterns and the effect of other mechanisms on transcriptional levels. Patient stratification was performed according to axillary lymph node status (node-negative, pN0; node-positive, pN1) and overall survival (>8-year survivors; breast cancer-specific mortality within 8 years of diagnosis). Array-CGH results was validated by FISH using tumors showing HER2/neu gene amplification and expression profiling was confirmed using qPCR for 16 transcripts.
Clinical implications of gene dosage and gene expression patterns in diploid breast carcinoma.
Disease, Disease stage
View SamplesGenomic and expression profiling using 38K BAC array-CGH and Illumina HT-12 beadchips were performed on 97 diploid invasive breast tumors to assess the impact of gene dosage on gene expression patterns and the effect of other mechanisms on transcriptional levels. Patient stratification was performed according to axillary lymph node status (node-negative, pN0; node-positive, pN1) and overall survival (>8-year survivors; breast cancer-specific mortality within 8 years of diagnosis). Array-CGH results was validated by FISH using tumors showing HER2/neu gene amplification and expression profiling was confirmed using qPCR for 16 transcripts.
Clinical implications of gene dosage and gene expression patterns in diploid breast carcinoma.
Disease, Disease stage
View SamplesTranscriptomic profiling of human breast tumors.
Clinical implications of gene dosage and gene expression patterns in diploid breast carcinoma.
Age, Specimen part
View SamplesTranscriptomic profiling of human breast tumors using RNA sequencing Overall design: Evaluation of common fusion transcripts, genetic variants, and gene expression patterns in 8p11-p12 amplified breast carcinomas
Genome-wide multi-omics profiling of the 8p11-p12 amplicon in breast carcinoma.
Age, Specimen part, Subject
View Samplesgene expression profiling by RNA-seq in THP-1 cells treated with 1,25(OH)2D3 for 2.5-24 h Overall design: three independent experiments of 1,25(OH)2D3 time course in THP-1 cells
Epigenome-wide effects of vitamin D and their impact on the transcriptome of human monocytes involve CTCF.
No sample metadata fields
View SamplesFour Kcng4-cre;stop-YFP mouse retinas from two mice were dissected, dissociated and FACS sorted, and single cell RNA-seq libraries were generated for 384 single cells using Smart-seq2. Aligned bam files are generated for 383 samples as one failed to align. Overall design: Four mouse retinas (labeled 1la, 1Ra, and 2la, 2Ra respective from the two mice) were used, and 96 single cells from each were processed using Smart-seq2. Total 384 cells Smart-seq2 analysis of P17 FACS sorted retinal cells from the Kcng4-cre;stop-YFP mice (Kcng4tm1.1(cre)Jrs mice [Duan et al., Cell 158, 793-807, 2015] crossed to the cre-dependent reporter Thy1-stop-YFP Line#1 [Buffelli et al., Nature 424, 430-434, 2003])
Comprehensive Classification of Retinal Bipolar Neurons by Single-Cell Transcriptomics.
Specimen part, Subject
View Samples15,000 GFP+ cells were collected from two replicates of the Htr3a GFP line into RNAlater (ThermoFisher, AM7024). RNA was purified and bulk RNA-seq was performed using the Ovation RNA-seq system V2 (Nugen, 7102-32) Overall design: Bulk RNA-seq analysis of Type 5 retinal bipolar cells (2 biological replicates)
Comprehensive Classification of Retinal Bipolar Neurons by Single-Cell Transcriptomics.
Specimen part, Subject
View SamplesA cell supsension containing an equal mix of HEK and 3T3 cells was used in the Fluidigm C1 Overall design: Suspensions of 3T3 and HEK cells were diluted down to a concentration of 250,000 per mL and mixed 1:1, then loaded onto two medium C1 cell capture chips.
Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets.
No sample metadata fields
View SamplesMacrophages represent an important component of the tumor microenvironment and play a complex role in cancer progression. These cells are characterized by a high degree of plasticity, and alter their phenotype in response to local environmental cues. While the M1/M2 classification of macrophages has been widely used, the complexity of macrophage phenotypes specifically in lung cancer has not been well studied. In this study we employed an orthotopic immunocompetent model of lung adenocarcinoma in which murine lung cancer cells are directly implanted into the left lobe of syngeneic mice. Using multi-marker flow cytometry we defined and recovered several distinct populations of monocytes/macrophages from tumors at different stages of progression. We used RNA-seq transcriptional profiling to define distinct features of each population and determine how they change during tumor progression. We defined an alveolar resident macrophage population that does not change in number and express multiple genes related to lipid metabolism and lipid signaling. We also defined a population of tumor-associated macrophages that increase dramatically with tumor, and selectively express a panel of chemokines genes. A third population, which resembles tumor-associated monocytes, expresses a large number of genes involved in matrix remodeling. By correlating transcriptional profiles with clinically prognostic genes, we show that specific monocyte/macrophage populations are enriched in genes that predict good or poor outcome in lung adenocarcinoma, implicating these subpopulations as critical determinants of patient survival. Our data underscore the complexity of monocytes/macrophages in the tumor microenvironment, and suggest that distinct populations play specific roles in tumor progression. Overall design: mRNA profiles of macrophage/monocyte cells isolated from murine control or tumor-bearing lung. From naive mice: MacA cells (MacA-N), MacB1 cells (MacB1-N), MacB2 cells (MacB2-N); from 2 week tumor bearing mice: MacA cells (MacA-2wk), MacB2 cells (MacB2-2wk), MacB3 cells (MacB3-3wk); from 3-week tumor bearing mice: MacB2 (MacB2-3wk), MacB3 cells (MacB3-3wk). Each population was analyzed in triplicate (cells were isolated in 3 independent experiments).
Expression Profiling of Macrophages Reveals Multiple Populations with Distinct Biological Roles in an Immunocompetent Orthotopic Model of Lung Cancer.
Cell line, Subject
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