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accession-icon SRP140536
Single Cell RNA sequencing of Adult Human Breast Epithelial Cells [C1_Individual_3]
  • organism-icon Homo sapiens
  • sample-icon 287 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

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

Publication Title

Single-cell landscape in mammary epithelium reveals bipotent-like cells associated with breast cancer risk and outcome.

Sample Metadata Fields

Sex, Specimen part, Subject

View Samples
accession-icon SRP140488
Single Cell RNA sequencing of Adult Human Breast Epithelial Cells [C1_Individual_1]
  • organism-icon Homo sapiens
  • sample-icon 294 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

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

Publication Title

Single-cell landscape in mammary epithelium reveals bipotent-like cells associated with breast cancer risk and outcome.

Sample Metadata Fields

Sex, Specimen part, Subject

View Samples
accession-icon SRP140489
Single Cell RNA sequencing of Adult Human Breast Epithelial Cells [C1_Individual_2]
  • organism-icon Homo sapiens
  • sample-icon 159 Downloadable Samples
  • Technology Badge Icon

Description

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

Publication Title

Single-cell landscape in mammary epithelium reveals bipotent-like cells associated with breast cancer risk and outcome.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP142535
Single-cell transcriptomics confirms heterogeneity of contractile cells in large skin wounds
  • organism-icon Mus musculus
  • sample-icon 364 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

We report transcriptomes of pre-sorted skin wound dermal cells. Post-wounding day (PWD) 12, 15 and 21 Zombie-neg;tdTomatoHi cells were FACS sorted from Sm22-Cre;TdTomato mice. Overall design: Examination of single cell heteregeneity in large skin wounds on PWD 12, 15 and 21

Publication Title

Single-cell analysis reveals fibroblast heterogeneity and myeloid-derived adipocyte progenitors in murine skin wounds.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

View Samples
accession-icon GSE11151
Gene expression data from different types of renal tumors and normal kidneys
  • organism-icon Homo sapiens
  • sample-icon 64 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Identification and evaluation of specific molecular markers is of great importance for reliable diagnostics and outcome prediction of renal neoplasms

Publication Title

High-resolution DNA copy number and gene expression analyses distinguish chromophobe renal cell carcinomas and renal oncocytomas.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE22337
UDP-GlcNAc 2-epimerase/ManNAc kinase (GNE) is an inducer of apoptotic processes in Capan-1 pancreatic carcinoma cells
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Loss of UDP-N-acetylglucosamine 2-epimerase/N-acetylmannosamine kinase (GNE) induces apoptotic processes in pancreatic carcinoma cells.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE22334
Induction of apoptotic processes in Capan-1 pancreatic carcinoma cells by restoration of p16INK4a expression
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Early invasive growth and metastasis are features of pancreatic cancer that rely on resistance to anoikis, an apoptosis program activated upon loss of adequate matrix anchorage. Re-expression of the tumor suppressor p16 reversed anoikis resistance of pancreatic cancer cells. This conversion to an anoikis-susceptible phenotype was found to be associated with a striking loss of GNE mRNA expression, prompting us to address the role of GNE in pancreatic cancer in more detail. GNE catalyzes a rate-limiting key step of the sialic acid biosynthesis and may have additional functions in the nucleus.

Publication Title

Loss of UDP-N-acetylglucosamine 2-epimerase/N-acetylmannosamine kinase (GNE) induces apoptotic processes in pancreatic carcinoma cells.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE22336
UDP-GlcNAc 2-epimerase/ManNAc kinase (GNE) is an inducer of apoptotic processes in Capan-1 pancreatic carcinoma cells: GNE silencing
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Early invasive growth and metastasis are features of pancreatic cancer that rely on resistance to anoikis, an apoptosis program activated upon loss of adequate matrix anchorage. Re-expression of the tumor suppressor p16 reversed anoikis resistance of pancreatic cancer cells. This conversion to an anoikis-susceptible phenotype was found to be associated with a striking loss of GNE mRNA expression, prompting us to address the role of GNE in pancreatic cancer in more detail. GNE catalyzes a rate-limiting key step of the sialic acid biosynthesis and may have additional functions in the nucleus.

Publication Title

Loss of UDP-N-acetylglucosamine 2-epimerase/N-acetylmannosamine kinase (GNE) induces apoptotic processes in pancreatic carcinoma cells.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE18027
BTG1 regulates glucocorticoid receptor autoinduction in acute lymphoblastic leukemia
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

RNAi mediated knockdown of BTG1 in the acute lymphoblastic cell line RS4;11 causes this cell line to become resistant to prednisolone treatment when compared to control cells.

Publication Title

BTG1 regulates glucocorticoid receptor autoinduction in acute lymphoblastic leukemia.

Sample Metadata Fields

Specimen part, Cell line, Treatment

View Samples
accession-icon GSE75126
L929 vs L929IRF8 following 4hr IFNbeta treatment (1000U/ml)
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina MouseRef-8 v2.0 expression beadchip

Description

Identify genes like Ifit1 which are induced in L929 cells but not L929 cells expressing ectopic IRF8

Publication Title

Interferon Regulatory Factor 8 (IRF8) Impairs Induction of Interferon Induced with Tetratricopeptide Repeat Motif (IFIT) Gene Family Members.

Sample Metadata Fields

No sample metadata fields

View Samples
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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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