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accession-icon GSE67793
Liver samples of Pemt-/- and Pemt+/+ mice under high fat-high-sucrose (HFHS) diet
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Insufficiency of phosphatidylethanolamine N-methyltransferase is risk for lean non-alcoholic steatohepatitis.

Sample Metadata Fields

Specimen part, Time

View Samples
accession-icon GSE19315
Global transcriptional response of macrophage-like THP-1 cells
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Shiga toxins (Stxs) are bacterial cytotoxins produced by the enteric pathogens Shigella dysenteriae serotype 1 and some serotypes of Escherichia coli that cause bacillary dysentery and hemorrhagic colitis, respectively. To date, approaches to studying the capacity of Stxs to alter gene expression in intoxicated cells have been limited to individual genes. However, it is known that many of the signaling pathways activated by Stxs regulate the expression of multiple genes in mammalian cells. To expand the scope of analysis of gene expression and to better understand the underlying mechanisms for the various effects of Stxs on cell functions, we carried out comparative microarray analyses to characterize the global transcriptional response of human macrophage-like THP-1 cells to Shiga toxin type 1 (Stx1) and LPS. Data were analyzed using a rigorous combinatorial approach with three separate statistical algorithms. Thirty-six genes met the criteria of up-regulated expression in response to Stx1 treatment with 14 genes uniquely up-regulated by Stx1. Microarray data were validated by real time RT-PCR for genes encoding Egr-1 (transcriptional regulator), COX-2 (inflammation), and DUSP1, 5 and 10 (regulation of MAPK signaling). Stx1-mediated signaling through ERK1/2 and Egr-1 appears to be involved in the increased expression of the proinflammatory mediator TNF-. Activation of COX-2 expression is associated with the increased production of proinflammatory and vasoactive eicosanoids. However, the capacity of Stx1 to increase the expression of genes encoding phosphatases suggests that mechanisms to dampen the macrophage proinflammatory response may be built into host response to the toxins.

Publication Title

Global transcriptional response of macrophage-like THP-1 cells to Shiga toxin type 1.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE74194
Muscle Transcriptome Profile of Resistance Exercise is Augmented by Aerobic Exercise
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.1 ST Array (hugene21st)

Description

10 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.

Publication Title

Aerobic exercise augments muscle transcriptome profile of resistance exercise.

Sample Metadata Fields

Sex, Specimen part, Treatment, Subject

View Samples
accession-icon GSE17709
Gene expression analysis of a podocyte specific PTIP deletion in mouse glomerular preparations at 1 month of age
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Glomerular 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.

Publication Title

Altering a histone H3K4 methylation pathway in glomerular podocytes promotes a chronic disease phenotype.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE46279
Expression data from HUVEC adenovirally overexpressing MEF2C
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

The 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.

Publication Title

The transcription factor MEF2C negatively controls angiogenic sprouting of endothelial cells depending on oxygen.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon SRP049593
7q11.23 dosage-dependent dysregulation in the human pluripotent state primes aberrant transcriptional programs in disease-relevant lineages (RNAseq)
  • organism-icon Homo sapiens
  • sample-icon 406 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

We apply the cellular reprogramming experimental paradigm to two disorders caused by symmetrical copy number variations (CNV) of 7q11.23 and displaying a striking combination of shared as well as symmetrically opposite phenotypes: Williams Beuren syndrome (WBS) and 7q microduplication syndrome (7dupASD). Through a uniquely large and informative cohort of transgene-free patient-derived induced pluripotent stem cells (iPSC), along with their differentiated derivatives, we find that 7q11.23 CNV disrupt transcriptional circuits in disease-relevant pathways already at the pluripotent state. These alterations are then selectively amplified upon differentiation into disease-relevant lineages, thereby establishing the value of large iPSC cohorts in the elucidation of disease-relevant developmental pathways. In addition, we functionally define the quota of transcriptional dysregulation specifically caused by dosage imbalances in GTF2I (also known as TFII-I), a transcription factor in 7q11.23 thought to play a critical role in the two conditions, which we found associated to key repressive chromatin modifiers. Finally, we created an open-access web-based platform (accessible at http://bio.ieo.eu/wbs/ ) to make accessible our multi-layered datasets and integrate contributions by the entire community working on the molecular dissection of the 7q11.23 syndromes. Overall design: We reprogrammed skin fibroblasts from patients harbouring a 7q11.23 hemi-deletion (WBS, 4 patients; +1 atypical deletion, AtWBS) or microduplication (7dupASD; 2 patients), as well as from one unaffected relative and two unrelated controls, using integration-free mRNA-reprogramming, leading to the establishment of a total of 27 characterized iPSC clones. We profiled these by RNAseq (either polyA or ribo-zero). To isolate the contribution of GTF2I to the transcriptional dysregulation, we created stable lines expressing a short hairpin against GTF2I from a representative subset of these iPSC clones, and profiled by RNAseq 7 such lines along with their respective scramble controls. Finally, we also profiled by RNAseq mesenchymal stem cells (MSC) derived from a representative subset of the lines.

Publication Title

RNAontheBENCH: computational and empirical resources for benchmarking RNAseq quantification and differential expression methods.

Sample Metadata Fields

No sample metadata fields

View Samples
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 GSE18235
Effect of 10 Cigarette Smoke Condensates on Primary Human Airway Epithelial Cells
  • organism-icon Homo sapiens
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Nine cigarette smoke condensates (CSCs) were produced under a standard ISO smoking machine regimen and one was produced by a more intense smoking machine regimen. These CSCs were used to treat primary normal human bronchial epithelial cells for 18 hours.

Publication Title

Effects of 10 cigarette smoke condensates on primary human airway epithelial cells by comparative gene and cytokine expression studies.

Sample Metadata Fields

Specimen part

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)

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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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