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accession-icon GSE55785
Gene Expression Analysis of 4T1 orthotopic tumors in PDGFRb-TK mice
  • organism-icon Mus musculus
  • sample-icon 13 Downloadable Samples
  • Technology Badge IconIllumina MouseRef-8 v2.0 expression beadchip

Description

Analysis of the gene expression level of 4T1 orthotopic tumors in mice with and without pericyte depletion.

Publication Title

Targeting vascular pericytes in hypoxic tumors increases lung metastasis via angiopoietin-2.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon SRP054257
PATZ1 is a DNA damage responsive transcription factor that inhibits p53 function
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Insults to cellular health cause p53 protein accumulation and loss of p53 function leads to tumorigenesis. Thus, p53 has to be tightly controlled. Here we report that the BTB/POZ domain transcription factor PATZ1 (MAZR), previously known for its transcriptional suppressor functions in T lymphocytes, is a crucial regulator of p53. The novel inhibitory role of PATZ1 on the p53 protein marks it as a proto-oncogene. PATZ1 deficient cells have reduced proliferative capacity which we assess by RNASeq and real time cell growth rate analysis. PATZ1 modifies the expression of p53 target genes associated with cell proliferation gene ontology terms. Moreover, PATZ1 regulates several genes involved in cellular adhesion and morphogenesis. Significantly, treatment with the DNA damage inducing drug doxorubicin results in the loss of the PATZ1 transcription factor, as p53 accumulates. We find that PATZ1 binds to p53 and inhibits p53 dependent transcription activation. We examine the mechanism of this functional inhibitory interaction and demonstrate that PATZ1 excludes p53 from DNA binding. This study documents PATZ1 as a novel player in the p53 pathway. Overall design: RNA-seq was used to define differentially expressed genes in wild-type and PATZ1-/- MEFs. Each sample was represented in triplicate.

Publication Title

PATZ1 Is a DNA Damage-Responsive Transcription Factor That Inhibits p53 Function.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP114712
Electrophilic stress induced by dimethyl itaconate regulates IkB-zeta-mediated inflammatory responses
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Interplay between metabolic state of the cell and its ability to undergo immunological activation has been recently recognized as a treasure chest of novel fundamental regulatory principles. Itaconate, and its membrane permeable derivative dimethyl itaconate (DI) were recently shown to selectively inhibit subset of cytokines during macrophage activation (e.g. Il1b, il6, Il12b but not TNF), yet the precise mechanism of this effect remained unclear. We find that selectivity of DI action stems from the inhibitory effects of electrophilic stress exerted by DI on IkB-zeta protein translation, leading to selective control of the secondary wave of Nfkb-signaling. Mechanistically, DI leads to glutathione depletion and subsequent activation of both Nrf2-dependent and Nrf2-independent stress responses. We find that IkB-zeta regulation is carried out in Nrf2-independent manner, and identify Atf3 as a key mediator of DI effects on IkB-zeta/IL6. This inhibitory effect is conserved across species and cell types, as evident from inhibition of IkB-zeta production in activating human monocytes and IL-17A stimulated keratinocytes of both human and mice. Finally, DI administration in vivo ameliorated IL17/IkB-zeta-driven skin pathology in the mouse model of psoriasis, highlighting therapeutic potential of this regulatory pathway. Overall design: Bone marrow-derived macrophages (BMDMs) from WT and Nrf2–/– mice were derived in 7 days in MCSF supplemented complete RPMI. Some samples cells were stimulated with 250 uM DimethylItaconate(DI) for 12 hours prior to collection for RNA-seq.

Publication Title

Electrophilic properties of itaconate and derivatives regulate the IκBζ-ATF3 inflammatory axis.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

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accession-icon GSE66577
Molecular characterization of diabetic heart of akita
  • organism-icon Mus musculus
  • sample-icon 5 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer, Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Cardiac transcriptome profiling of diabetic Akita mice using microarray and next generation sequencing.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP015918
Influence of p38 MAPK (PMK-1) on the heat stress response of C. elegans
  • organism-icon Caenorhabditis elegans
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

PMK-1 is involved in the heat stress response of C. elegans, translocates to the nucleus upon heat exposure and influences the expression of chaperone genes, proteasomal subunits and protein-biosynthesis related genes. Overall design: Differential Gene expression of WT and pmk-1 deletion mutant (KU25) after 5 hours at 35°C

Publication Title

The p38 MAPK PMK-1 shows heat-induced nuclear translocation, supports chaperone expression, and affects the heat tolerance of Caenorhabditis elegans.

Sample Metadata Fields

Cell line, Subject

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
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 GSE14816
Immune Response of Immature Dendritic Cells after Infection with Human Cytomegalovirus Strain TB40E
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Microarray analysis and quantitative real-time PCR revealed that TB40E infection of DCs led to changes of the gene expression pattern. A variety of pro-inflammatory cytokines and chemokines (CXCL10, CXCL11, CCL5), TLR3 and genes whose products function downstream of the TLR3 signalling pathway (e.g. IFN-, IFN-) were significantly upregulated.

Publication Title

Toll-like receptor 3 has no critical role during early immune response of human monocyte-derived dendritic cells after infection with the human cytomegalovirus strain TB40E.

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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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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