Breast cancer arises from breast epithelial cells that acquire genetic alterations leading to subsequent loss of tissue homeostasis. Several distinct epithelial subpopulations have been proposed, but complete understanding of the spectrum of heterogeneity and differentiation hierarchy in the human breast remains elusive. Here, we used single-cell mRNA sequencing (scRNAseq) to profile the transcriptomes of 25,790 primary human breast epithelial cells isolated from reduction mammoplasties of seven individuals. Unbiased clustering analysis reveals the existence of three distinct epithelial cell populations, one basal and two luminal cell types, which we identify as secretory L1- and hormone-responsive L2-type cells. Pseudotemporal reconstruction of differentiation trajectories produc one continuous lineage hierarchy that closely connects the basal lineage to the two differentiated luminal branches. Our comprehensive cell atlas provides novel insights into cellular blueprint of the human breast epithelium and will form the foundation to understand how the system goes awry during breast cancer. Overall design: Microfluidics-enabled Single Cell RNA sequencing libraries were generated for 3 adult human women using the Fluidigm C1 and sequenced on the Illumina HighSeq 2500
Single-cell landscape in mammary epithelium reveals bipotent-like cells associated with breast cancer risk and outcome.
Sex, Specimen part, Subject
View SamplesBreast cancer arises from breast epithelial cells that acquire genetic alterations leading to subsequent loss of tissue homeostasis. Several distinct epithelial subpopulations have been proposed, but complete understanding of the spectrum of heterogeneity and differentiation hierarchy in the human breast remains elusive. Here, we used single-cell mRNA sequencing (scRNAseq) to profile the transcriptomes of 25,790 primary human breast epithelial cells isolated from reduction mammoplasties of seven individuals. Unbiased clustering analysis reveals the existence of three distinct epithelial cell populations, one basal and two luminal cell types, which we identify as secretory L1- and hormone-responsive L2-type cells. Pseudotemporal reconstruction of differentiation trajectories produc one continuous lineage hierarchy that closely connects the basal lineage to the two differentiated luminal branches. Our comprehensive cell atlas provides novel insights into cellular blueprint of the human breast epithelium and will form the foundation to understand how the system goes awry during breast cancer. Overall design: Microfluidics-enabled Single Cell RNA sequencing libraries were generated for 3 adult human women using the Fluidigm C1 and sequenced on the Illumina HighSeq 2500
Single-cell landscape in mammary epithelium reveals bipotent-like cells associated with breast cancer risk and outcome.
Sex, Specimen part, Subject
View SamplesBreast cancer arises from breast epithelial cells that acquire genetic alterations leading to subsequent loss of tissue homeostasis. Several distinct epithelial subpopulations have been proposed, but complete understanding of the spectrum of heterogeneity and differentiation hierarchy in the human breast remains elusive. Here, we used single-cell mRNA sequencing (scRNAseq) to profile the transcriptomes of 25,790 primary human breast epithelial cells isolated from reduction mammoplasties of seven individuals. Unbiased clustering analysis reveals the existence of three distinct epithelial cell populations, one basal and two luminal cell types, which we identify as secretory L1- and hormone-responsive L2-type cells. Pseudotemporal reconstruction of differentiation trajectories produc one continuous lineage hierarchy that closely connects the basal lineage to the two differentiated luminal branches. Our comprehensive cell atlas provides novel insights into cellular blueprint of the human breast epithelium and will form the foundation to understand how the system goes awry during breast cancer. Overall design: Microfluidics-enabled Single Cell RNA sequencing libraries were generated for 3 adult human women using the Fluidigm C1 and sequenced on the Illumina HighSeq 2500
Single-cell landscape in mammary epithelium reveals bipotent-like cells associated with breast cancer risk and outcome.
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Genome-wide age-related changes in DNA methylation and gene expression in human PBMCs.
Sex, Age, Specimen part, Treatment, Subject
View SamplesAging is a progressive process that results in the accumulation of intra- and extracellular alterations that in turn contribute to a reduction in health. Age-related changes in DNA methylation have been reported before and may be responsible for aging-induced changes in gene expression, although a causal relationship has yet to be shown. Using genome-wide assays, we analyzed age-induced changes in DNA methylation and their effect on gene expression with and without transient induction with the synthetic transcription modulating agent WY14,643. To demonstrate feasibility of the approach, we isolated peripheral blood mononucleated cells (PBMCs) from five young and five old healthy male volunteers and cultured them with or without WY14,643. Infinium 450K BeadChip and Affymetrix Human Gene 1.1 ST expression array analysis revealed significant differential methylation of at least 5 % (YO>5 %) at 10,625 CpG sites between young and old subjects, but only a subset of the associated genes were also differentially expressed. Age-related differential methylation of previously reported epigenetic biomarkers of aging including ELOVL2, FHL2, PENK, and KLF14 was confirmed in our study, but these genes did not display an age-related change in gene expression in PBMCs. Bioinformatic analysis revealed that differentially methylated genes that lack an age-related expression change predominantly represent genes involved in carcinogenesis and developmental processes, and expression of most of these genes were silenced in PBMCs. No changes in DNA methylation were found in genes displaying transiently induced changes in gene expression. In conclusion, aging-induced differential methylation often targets developmental genes and occurs mostly without change in gene expression.
Genome-wide age-related changes in DNA methylation and gene expression in human PBMCs.
Sex, Age, Specimen part, Treatment, Subject
View SamplesThis SuperSeries is composed of the SubSeries listed below.
The lncRNA HOTAIR impacts on mesenchymal stem cells via triple helix formation.
Specimen part, Treatment
View SamplesLong non coding RNAs are implemented in epigenetic changes and regulation of gene expression. HOTAIR is a promising lncRNA concerning epigenetic regulation. We performed HOTAIR overexpression and knockdown experiments in mesenchymal stromal cells derived from bone marrow. After two weeks cells were harvested and RNA and DNA were isolated. Analysis of gene expression was performed with Human Gene 2.0 ST Array (Affymetrix, Santa Clara, USA). Analysis of DNA methylation was performed with Infinium HumanMethylation450 BeadChips (Illumina, San Diego, USA)
The lncRNA HOTAIR impacts on mesenchymal stem cells via triple helix formation.
Specimen part, Treatment
View Samples10 male subjects performed ~45 min one-legged cycling and 4 x 7 maximal concentric-eccentric knee extensions for each leg 15 min later. Thus, one limb performed aerobic and resistance exercise (AE+RE), while the opposing leg did resistance exercise only (RE). Biopsies were obtained from m. vastus lateralis of each leg 3 h after the resistance exercise bout.
Aerobic exercise augments muscle transcriptome profile of resistance exercise.
Sex, Specimen part, Treatment, Subject
View SamplesGlomerular RNA comparison between wild-type and podocyte specific deletion of the PTIP gene in 1 month old kidneys. The PTIP gene was deleted using a floxed allele and a Podocin-Cre driver strain.
Altering a histone H3K4 methylation pathway in glomerular podocytes promotes a chronic disease phenotype.
Specimen part
View SamplesThe transcription factor MEF2C is specifically induced by VEGF in endothelial cells. To delineate target genes of MEF2C in endothelial cells, which might be important during angiogenesis also, MEF2C was overexpressed adenovirally in human umbilical vein endothelial cells (HUVECs) over a period of 8 to 32 hours.
The transcription factor MEF2C negatively controls angiogenic sprouting of endothelial cells depending on oxygen.
Specimen part, Treatment
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