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accession-icon SRP043043
Global analysis of ZNF217 chromatin occupancy in the breast cancer cell genome reveals an association with Eralpha
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Background: The ZNF217 gene, encoding a C2H2 zinc finger protein, is located at 20q13 and found amplified and overexpressed in greater than 20% of breast tumors. Current studies indicate ZNF217 drives tumorigenesis, yet the regulatory mechanisms of ZNF217 are largely unknown. Because ZNF217 associates with chromatin modifying enzymes, we postulate that ZNF217 functions to regulate specific gene signaling networks. Here, we present a large-scale functional genomic analysis of ZNF217, which provides insights into the regulatory role of ZNF217 in MCF7 breast cancer cells. Results: ChIP-seq analysis reveals that the majority of ZNF217 binding sites are located at distal regulatory regions associated with the chromatin marks H3K27ac and H3K4me1. Analysis of ChIPseq transcription factor binding sites shows clustering of ZNF217 with FOXA1, GATA3 and ERalpha binding sites, supported by the enrichment of corresponding motifs for the ERalpha-associated cisregulatory sequences. ERalpha expression highly correlates with ZNF217 in lysates from breast tumors (n=15), and ERalpha co-precipitates ZNF217 and its binding partner CtBP2 from nuclear extracts. Transcriptome profiling following ZNF217 depletion identifies differentially expressed genes co-bound by ZNF217 and ERalpha; gene ontology suggests a role for ZNF217-ERalpha in expression programs associated with ER+ breast cancer studies found in the Molecular Signature Database. Data-mining of expression data from breast cancer patients correlates ZNF217 with reduced overall survival in multiple subtypes. Conclusions: Our genome-wide ZNF217 data suggests a functional role for ZNF217 at ERalpha target genes. Future studies will investigate whether ZNF217 expression contributes to aberrant ERalpha regulatory events in ER+ breast cancer and hormone resistance Overall design: Differential RNA-seq profiling from triplicate biological replicates of MCF7 cells treated with scrambled siRNA or siZNF217.

Publication Title

Global analysis of ZNF217 chromatin occupancy in the breast cancer cell genome reveals an association with ERalpha.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP044668
MRI-localized biopsies reveal subtype-specific differences in molecular and cellular composition at the margins of glioblastoma
  • organism-icon Homo sapiens
  • sample-icon 94 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

We obtained radiographically-localized biopsies during glioma resection surgeries to sample the tumor core and margins from multiple glioma patients. We also procured fresh, non-neoplastic brain tissue specimens from multiple patients having procedures to relieve epilespy symptoms or to place shunts to treat normal pressure hydrocephalus. We then used RNA-Seq to compare expression patterns between geographically distinct regions of gliomas and computational deconvolution to estimate cell type-specific expression patterns in different disease subtypes. Overall design: RNA-Seq analysis in 39 contrast-enhancing glioma core samples, 36 non-enhancing FLAIR glioma margin samples, and 17 non-neoplastic brain tissue samples.

Publication Title

MRI-localized biopsies reveal subtype-specific differences in molecular and cellular composition at the margins of glioblastoma.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP134127
Invasive non-typhoidal Salmonella dysregulates the repertoire of dendritic cell responses to intracellular and extracellular stimuli [scRNA-seq]
  • organism-icon Homo sapiens
  • sample-icon 384 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

Non-typhoidal Salmonella (NTS) are among of the most important food-borne pathogens. Recently, a highly invasive multi-drug resistant S. Typhimurium of a distinct multilocus sequence type (MLST), ST313, has emerged across sub-Saharan Africa as a major cause of lethal bacteraemia in children and immunosuppressed adults. Encounters between dendritic cells (DCs) and invading bacteria determine the course of infection but whether or how ST313 might usurp DC mediated defence has not been reported. Here we utilised fluorescently labelled invasive and non-invasive strains of Salmonella combined with single-cell RNA sequencing to study the transcriptomes of individual infected and bystander DCs. The transcriptomes displayed a repertoire of cell instrinsic and extrinsic innate response states that differed between invasive and non-invasive strains. Gene expression heterogeneity was increased in DCs challenged with invasive Salmonella. DCs exposed but not harbouring invasive Salmonella exhibited a hyper-activated profile that likely facilitates trafficking of infected cells and dissemination of internalised intact bacteria. In contrast, invasive Salmonella containing DCs demonstrate reprogramming of trafficking genes required to avoid autophagic destruction. Furthermore, these cells displayed differential expression of tolerogenic IL10 and MARCH1 enabling CD83 mediated adaptive immune evasion. Altogether our data illustrate pathogen cell-to cell variability directed by a Salmonella invasive strain highlighting potential mechanisms of host adaption with implications for dissemination in vivo. Overall design: Single-cell RNA sequencing (SMARTSeq2) of 373 human monocyte derived dendritic cells infected with S. Typhimurium strain LT2 or D23580 or left uninfected

Publication Title

Invasive Salmonella exploits divergent immune evasion strategies in infected and bystander dendritic cell subsets.

Sample Metadata Fields

Subject, Time

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accession-icon SRP134128
Invasive non-typhoidal Salmonella dysregulates the repertoire of dendritic cell responses to intracellular and extracellular stimuli [bulk RNA-seq]
  • organism-icon Homo sapiens
  • sample-icon 45 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

Non-typhoidal Salmonella (NTS) are among of the most important food-borne pathogens. Recently, a highly invasive multi-drug resistant S. Typhimurium of a distinct multilocus sequence type (MLST), ST313, has emerged across sub-Saharan Africa as a major cause of lethal bacteraemia in children and immunosuppressed adults. Encounters between dendritic cells (DCs) and invading bacteria determine the course of infection but whether or how ST313 might usurp DC mediated defence has not been reported. Here we utilised fluorescently labelled invasive and non-invasive strains of Salmonella combined with single-cell RNA sequencing to study the transcriptomes of individual infected and bystander DCs. The transcriptomes displayed a repertoire of cell instrinsic and extrinsic innate response states that differed between invasive and non-invasive strains. Gene expression heterogeneity was increased in DCs challenged with invasive Salmonella. DCs exposed but not harbouring invasive Salmonella exhibited a hyper-activated profile that likely facilitates trafficking of infected cells and dissemination of internalised intact bacteria. In contrast, invasive Salmonella containing DCs demonstrate reprogramming of trafficking genes required to avoid autophagic destruction. Furthermore, these cells displayed differential expression of tolerogenic IL10 and MARCH1 enabling CD83 mediated adaptive immune evasion. Altogether our data illustrate pathogen cell-to cell variability directed by a Salmonella invasive strain highlighting potential mechanisms of host adaption with implications for dissemination in vivo. Overall design: RNA-seq of mini-bulks (5000 cells) of human monocyte derived dendritic cells infected with S. Typhimurium strain LT2 or D23580 or left uninfected

Publication Title

Invasive Salmonella exploits divergent immune evasion strategies in infected and bystander dendritic cell subsets.

Sample Metadata Fields

Subject, Time

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accession-icon GSE6879
Dietary effect of SPI or Genistein alters rat mammary epithelial global gene expression profiles
  • organism-icon Rattus norvegicus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Expression 230A Array (rae230a)

Description

The role of diet in the prevention of breast cancer is widely accepted, yet little is known on how early dietary effects mitigate adult cancer risk. Soy consumption is associated with reduced breast cancer risk in women, an effect largely attributed to the soy isoflavone genistein (GEN). We previously showed lower chemically-induced mammary tumor incidence in young adult rats with lifetime dietary intake of soy protein isolate (SPI), a highly refined soy product in infant formula, than in those fed the control diet Casein (CAS). To gain insight into signaling pathways underlying dietary tumor protection, we performed genome-wide expression profiling of mammary epithelial cells from young adult rats lifetime fed CAS, SPI, or supplemental GEN-based diets. We identified mammary epithelial genes regulated by SPI (79 total) and GEN (99 total) using Affymetrix rat 230A GeneChip arrays and found minimal overlap in gene expression patterns. We showed that the regulated transcripts functionally cluster in biochemical pathways involving metabolism, immune response, signal transduction, and ion transport. We confirmed the differential expression of Wnt (Wnt5a, Sfrp2) and Notch (Notch2, Hes1) signaling components by SPI and/or GEN using QPCR. Wnt pathway inhibition by GEN was supported by lower Cyclin D1 immunoreactivity in mammary ductal epithelium of GEN relative to CAS and SPI, despite their comparable levels of membrane-localized E-cadherin and -catenin. Identification of distinct GEN and SPI responsive genes in mammary epithelial cells may define early events contributing to tumor protection by diet relevant to the prevention of breast and other types of cancer.

Publication Title

Expression profiling of rat mammary epithelial cells reveals candidate signaling pathways in dietary protection from mammary tumors.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP150876
An Optically Decodable Bead Array for Linking Imaging and Sequencing with Single-Cell Resolution
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon

Description

Optically decodable beads link the identity of an analyte or sample to a measurement through an optical barcode, enabling libraries of biomolecules to be captured on beads in solution and decoded by fluorescence. This approach has been foundational to microarray, sequencing, and flow-based expression profiling technologies. We have combined microfluidics with optically decodable beads to link phenotypic analysis of living cells to sequencing. As a proof-of-concept, we applied this to demonstrate an accurate and scalable tool for connecting live cell imaging to single-cell RNA-Seq called Single Cell Optical Phenotyping and Expression (SCOPE-Seq). Overall design: Performed SCOPE-Seq on thousands of cells from two cell lines.

Publication Title

SCOPE-Seq: a scalable technology for linking live cell imaging and single-cell RNA sequencing.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE21306
Expression data from RECK-overexpressing HT1080 fibrosarcoma cells
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

RECK, a glycosylphosphatidylinositol-anchored glycoprotein, inhibits the enzymatic activities of some matrix metalloproteinases (MMP), thereby suppressing tumor cell metastasis; however, the detailed mechanism is still obscure. In this study, we compared the gene expression profiles between mock- and RECK-transfected HT1080 cells.

Publication Title

RECK negatively regulates matrix metalloproteinase-9 transcription.

Sample Metadata Fields

Cell line

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accession-icon GSE11855
A Krppel-like factor 9 (Klf9) regulated network in HEC-1-A endometrial carcinoma cells
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

A Krppel-like factor 9 (Klf9) regulated network in HEC-1-A endometrial carcinoma cells encompassing adhesion proteins, steroid- and menstrual cycle-regulated proteins of the uterine endometrium, novel membrane proteins, and nuclear receptors

Publication Title

The Krüppel-like factor 9 (KLF9) network in HEC-1-A endometrial carcinoma cells suggests the carcinogenic potential of dys-regulated KLF9 expression.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE136287
Transcriptomic characterisation of ALDH+ cells in therapy resistant breast cancer patient samples
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This study is part of a larger multidisciplinary study entitled A dormant sub-population expressing interleukin-1 receptor characterises anti-estrogen resistant ALDH+ breast cancer stem cells.

Publication Title

Increased Expression of Interleukin-1 Receptor Characterizes Anti-estrogen-Resistant ALDH<sup>+</sup> Breast Cancer Stem Cells.

Sample Metadata Fields

Specimen part, Disease, Subject

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accession-icon GSE64442
Functional role of miRNAs in the renal stroma during embryonic kidney development
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Renal stromal miRNAs are required for normal nephrogenesis and glomerular mesangial survival.

Sample Metadata Fields

Specimen part

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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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