The goal of this study is to compare transcriptional profiles of regulatory T cells and conventional CD4 T cells in human breast cancer to regulatory T cells and conventional CD4 T cells in normal breast parenchyma and in peripheral blood. Overall design: RNA sequencing of 2 different cell types in 3 different tissues
Regulatory T Cells Exhibit Distinct Features in Human Breast Cancer.
Specimen part, Subject
View SamplesKnowledge of immune cell phenotypes in the tumor microenvironment is essential for understanding mechanisms of cancer progression and immunotherapy response. We created an immune map of breast cancer using single-cell RNA-seq data from 45,000 immune cells from eight breast carcinomas, as well as matched normal breast tissue, blood, and lymph node. We developed a preprocessing pipeline, SEQC, and a Bayesian clustering and normalization method, Biscuit, to address computational challenges inherent to single-cell data. Despite significant similarity between normal and tumor tissue-resident immune cells, we observed continuous phenotypic expansions specific to the tumor microenvironment. Analysis of paired single-cell RNA and T cell receptor (TCR) sequencing data from 27,000 additional T cells revealed the combinatorial impact of TCR utilization on phenotypic diversity. Our results support a model of continuous activation in T cells and do not comport with the macrophage polarization model in cancer, with important implications for characterizing tumor-infiltrating immune cells. Overall design: Single-cell RNA sequencing was performed on eight donors using the InDrop v2 protocol. For each donor populations of CD45+ immune cells were assayed for trancriptome-wide RNA-sequence. At least one replicate was taken for each donor.
Single-Cell Map of Diverse Immune Phenotypes in the Breast Tumor Microenvironment.
Specimen part, Subject
View SamplesKnowledge of immune cell phenotypes in the tumor microenvironment is essential for understanding mechanisms of cancer progression and immunotherapy response. We created an immune map of breast cancer using single-cell RNA-seq data from 45,000 immune cells from eight breast carcinomas, as well as matched normal breast tissue, blood, and lymph node. We developed a preprocessing pipeline, SEQC, and a Bayesian clustering and normalization method, Biscuit, to address computational challenges inherent to single-cell data. Despite significant similarity between normal and tumor tissue-resident immune cells, we observed continuous phenotypic expansions specific to the tumor microenvironment. Analysis of paired single-cell RNA and T cell receptor (TCR) sequencing data from 27,000 additional T cells revealed the combinatorial impact of TCR utilization on phenotypic diversity. Our results support a model of continuous activation in T cells and do not comport with the macrophage polarization model in cancer, with important implications for characterizing tumor-infiltrating immune cells. Overall design: Single-cell RNA sequencing was performed on three patients using the 10x genomics TCR profiling kits. For each patient, populations of T-cells were assayed for both TCR sequence and trancriptome-wide RNA-sequence. Two donors have a replicate experiment.
Single-Cell Map of Diverse Immune Phenotypes in the Breast Tumor Microenvironment.
Specimen part, Subject
View SamplesThe PI3K/Akt signaling pathway impacts various aspects of CD8 T cell homeostasis, such as effect versus memory cell differentiation, during viral infection. We used microarrays to determine which downstream molecules were affected and what other signaling pathways were interconnected with the Akt pathway by constitutive activation of Akt in LCMV-infected CD8 T cells.
Signal integration by Akt regulates CD8 T cell effector and memory differentiation.
Sex, Specimen part, Treatment
View SamplesThe insulin-like growth factor-I (IGF-IR) and androgen (AR) receptors are important players in prostate cancer biology. Functional interactions between the IGF-I and androgen signaling pathways seem to have crucial roles in the progression of prostate cancer from early (benign) to advanced (metastatic) stages. DNA methylation is a major epigenetic alteration affecting gene expression. Hypermethylation of tumor suppressor promoters is a frequent event in human cancer, leading to inactivation and repression of specific genes. The aim of the present study was to identify the entire set of methylated genes (methylome) in a cellular model that replicates prostate cancer progression.
Global methylation analysis identifies PITX2 as an upstream regulator of the androgen receptor and IGF-I receptor genes in prostate cancer.
Cell line, Treatment, Time
View SamplesTechnical advances have enabled the collection of genome and transcriptome data sets with single-cell resolution. However, single-cell characterization of the epigenome has remained challenging. Furthermore, because cells must be physically separated prior to biochemical processing, conventional single-cell preparatory methods scale linearly. We applied combinatorial cellular indexing to measure chromatin accessibility in thousands of single cells per assay, circumventing the need for compartmentalization of individual cells. We report chromatin accessibility profiles from over 15,000 single cells and use these data to cluster cells on the basis of chromatin accessibility landscapes. We identify modules of coordinately regulated chromatin accessibility at the level of single cells both between and within cell types, with a scalable method that may accelerate progress toward a human cell atlas. Overall design: 3 replicates from GM12878 and HL-60 cell lines collected for differential gene expression analysis.
Multiplex single cell profiling of chromatin accessibility by combinatorial cellular indexing.
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View SamplesThe nipple is an example of specialized epidermis. The unique epidermal stratification and gene expression is induced and maintained by developmental distinct fibroblast populations.
Estrogen modulates mesenchyme-epidermis interactions in the adult nipple.
Sex, Specimen part
View SamplesCD133 is expressed by a subpopulation of human fetal hair follicle placode cells during early hair development. Its expression, which is gradually lost as the placode matures, correlates with early morphogenesis.
CD133 expression correlates with membrane beta-catenin and E-cadherin loss from human hair follicle placodes during morphogenesis.
Age, Specimen part
View SamplesWe report the differential gene expression differences between control and Ovol2-deficent newborn keratinocytes Overall design: Two control and two Ovol2-deficent samples were isolated
An Ovol2-Zeb1 transcriptional circuit regulates epithelial directional migration and proliferation.
Specimen part, Subject
View SamplesDermal fibroblasts (dFB) resist infection by locally differentiating into adipocytes and producing the antimicrobial peptide cathelicidin in response to S. aureus. We found that neonatal dFB were highly adipogenic whereas this adipogenic function was lost during adulthood. To better understand the molecular nature of the change in antimicrobial and adipogenic function of dFB, we profiled the transcriptomes of primary dFB isolated at different ages by RNA-seq. RNA-seq identified the pro-adipogenic to pro-fibrotic gene signature switch in dFB during aging, and identified TGF-beta as the top up-regulated pathway that was activated in 2M dFB compared to neonatal P1 dFB. Overall design: Examination of differentially expressed genes in cultured primary dermal fibroblasts/pre-adipocytes isolated from mouse skin with various ages.
Age-Related Loss of Innate Immune Antimicrobial Function of Dermal Fat Is Mediated by Transforming Growth Factor Beta.
Specimen part, Cell line, Subject
View Samples