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accession-icon GSE56843
Steroid Receptor Coactivator 1 is an Integrator of Glucose and NAD(+)/NADH Homeostasis
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

SRC-1 affects the expression of complex I of the mitochondrial electron transport chain, a set of enzymes responsible for the conversion of NADH to NAD(+). NAD(+) and NADH were subsequently identified as metabolites that underlie SRC-1's response to glucose deprivation. Knockdown of SRC-1 in glycolytic cancer cells abrogated their ability to grow in the absence of glucose consistent with SRC-1's role in promoting cellular adaptation to reduced glucose availability

Publication Title

Steroid receptor coactivator 1 is an integrator of glucose and NAD+/NADH homeostasis.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE67225
Deciphering Cell-Specific Responses to Oncogenic Stress in the Liver
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Each cell type responds uniquely to stress and fractionally contributes to global and tissue-specific stress responses. Hepatocytes, liver macrophages (M), and sinusoidal endothelial cells (SEC) play functionally important and interdependent roles in adaptive processes such as wound healing, obesity, and tumor growth. Although these cell types demonstrate significant phenotypic and functional heterogeneity, their distinctions enabling disease-specific responses remain understudied. To address this, we developed a strategy for simultaneous isolation and quantification of these liver cell types based on antigenic cell surface marker expression in response to DEN and found that while there was only a marginal increase in hepatocyte number, M and SEC populations were quantitatively increased. Global gene expression profiling of hepatocytes, M and SEC identified characteristic gene fingerprints that define each cell type and their distinct physiological or oncogenic stress signatures. Integration of these cell-specific gene fingerprints with available hepatocellular carcinoma (HCC) patient microarray data demonstrates that the hepatocyte-specific response strongly correlates with the human HCC gene expression profile. Liver-specific M and SEC gene signatures demonstrate significant alterations in inflammatory and angiogenic gene regulatory pathways, which may impact the hepatocyte response to oncogenic stress. Further validation confirms alterations in components of two key pathways, AP-1 and p53, that have been previously associated with HCC onset and progression. Our data reveal unique gene expression patterns that serve as molecular fingerprints for the cell-centric responses to pathologic stimuli in the distinct microenvironment of the liver. The technical advance highlighted in this study provides an essential resource for assessing hepatic cell-specific contributions to oncogenic stress, information that could unveil previously unappreciated molecular mechanisms for the cellular crosstalk that underlies the development of hepatic cancer.

Publication Title

Deciphering hepatocellular responses to metabolic and oncogenic stress.

Sample Metadata Fields

Sex, Specimen part

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accession-icon SRP173589
TP53/DNA Damage Response Pathway is Activated and Contributes to the Pathogenesis of Dilated Cardiomyopathy Caused by Lamin A/C Mutations
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

To gain insights into the molecular pathogenesis of DCM caused by LMNA mutation, a doxycycline-inducible (Dox-Off) gene expression system was used to express either a wild type (WT) or a mutant LMNA containing the pathogenic variant p.Asp300Asn (LMNAD300N) in cardiac myocytes. The LMNAD300N is associated with DCM in patients with atypical progeroid/Werner syndrome and non-syndromic cardiac progeria. Expression of the mutant LMNAD300N protein in cardiac myocytes led to severe fibrosis, apoptosis, cardiac dysfunction, and premature death. RNA-seq was performed (prior to onset of cardiac dysfunction) to identify gene signatures and transcriptional regulators responsible for this phenotype. Mechanistic studies identified activation of E2F/TP53/DDR, as a major mechanism responsible for the pathogenesis of DCM caused by the LMNAD300N mutation. Overall design: RNA-seq analysis from 2-week old WT and mice expressing mutant LMNA (LMNAD300N)

Publication Title

DNA Damage Response/TP53 Pathway Is Activated and Contributes to the Pathogenesis of Dilated Cardiomyopathy Associated With LMNA (Lamin A/C) Mutations.

Sample Metadata Fields

Cell line, Subject

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accession-icon SRP163432
Genomic Reorganization of Lamin-Associated Domains in Cardiac Myocytes is Associated with Differential Gene Expression and DNA Methylation in Human Dilated Cardiomyopathy [RNA-Seq]
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

Mutations in the LMNA gene causes set of disorders collectively referred to as laminopathies that include dilated cardiomyopathy. Lamin A/C proteins a components of nuclear lamina forms distinct nuclear domains called lamina associated domains (LADs). The roles of LADs in DCM is not known. To identify LADs and characterize their associations with CpG methylation and gene expression in human cardiac myocytes isolated from patients with DCM and controls we performed Chromatin immunoprecipitation-sequencing (ChIP-Seq), reduced representative bisulfite sequencing (RRBS), and RNA-sequencing (RNA-Seq) in 5 control and 5 DCM hearts with defined pathogenic variants in the LMNA gene. LADs are redistributed in DCM, are associated with CpG methylation and suppressed transcription, contributing to the pathogenesis of DCM in laminopathies. Overall design: integrated analysis of ChIP-seq for LMNA from Cardiac myocytes and RNA-seq and RRBS from 5 control and 5 DCM human heart sample

Publication Title

Genomic Reorganization of Lamin-Associated Domains in Cardiac Myocytes Is Associated With Differential Gene Expression and DNA Methylation in Human Dilated Cardiomyopathy.

Sample Metadata Fields

Sex, Age, Subject

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accession-icon GSE60722
Regulation of casodex-dependent AR activity by NCOR1
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Proliferation of prostate cancer cells, LNCaP, is suppressed by casodex. This suppression requires expression of AR coregulator, NCOR1.

Publication Title

Nuclear Receptor Corepressor 1 Expression and Output Declines with Prostate Cancer Progression.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE60721
DHT-dependent AR activity in LNCaP cells
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

AR transcriptional activity is regulated by DHT

Publication Title

Nuclear Receptor Corepressor 1 Expression and Output Declines with Prostate Cancer Progression.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE64885
Identification of a novel cofactor, SH3YL1, that functions through interaction with the androgen receptor N-terminal polyproline domain
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Nuclear receptor (NR)-mediated transcription is a dynamic process that is regulated by the binding of distinct ligands that induce conformational changes in the NR. These molecular alterations lead to the recruitment of unique cofactors (coactivators or corepressors) that control the expression of NR-regulated genes. Here, we show that a stretch of proline residues located within the N-terminus of AR is necessary for maximal androgen-mediated prostate cancer cell growth and migration. Furthermore, this polyproline domain is necessary for the expression of a subset of AR-target genes, but is dispensable for classical AR-mediated gene transcription. Using T7 phage display, we subsequently identified a novel AR-interacting protein, SH3YL1, whose interaction with AR is dependent upon this polyproline domain. Like the AR polyproline domain, SH3YL1 was required for maximal androgen-mediated cell growth and migration. Microarray analysis revealed that SH3YL1 also regulated a subset of AR-modulated genes. Correspondingly, we identified ubinuclein1 (UBN1), a key member of a histone H3.3 chaperone complex, as a transcriptional target of AR/SH3YL1. Moreover, UBN1 was necessary for maximal androgen-mediated proliferation and migration. Collectively, our data link a specific surface located within ARs N-terminus to the recruitment of a novel cofactor, SH3YL1, which is required for the androgen-mediated expression of UBN1. Importantly, this signaling network was important for both androgen-mediated prostate cancer cell growth and migration. This work is significant because it could aid in the development of selective androgen receptor modulators (SARMs) and have therapeutic implications for AR-driven diseases.

Publication Title

Identification of a Novel Coregulator, SH3YL1, That Interacts With the Androgen Receptor N-Terminus.

Sample Metadata Fields

Specimen part

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accession-icon GSE70651
Synergistic activity of BET protein antagonist-based combinations in Mantle Cell Lymphoma cells sensitive or resistant to ibrutinib
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To determine the global transcriptome changes in mantle cell lymphoma cells following treatment with the BET bromodomain antagonist, JQ1

Publication Title

Synergistic activity of BET protein antagonist-based combinations in mantle cell lymphoma cells sensitive or resistant to ibrutinib.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE49124
Expression data from JQ1 (0.2 uM) treated tamoxifen-resistant MCF7 cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Estrogen signaling pathway is critical for breast cancer development and has remained the major adjuvant therapeutic target for this disease. Tamoxifen has been used in clinic for many years to treat ER-positive breast cancer. However a great many (30%) suffer relapse due to drug resistance. In this study, the bromodomain inhibitor JQ1 was found to down-regulate ERalpha gene expression and have anti-tumor effect in cultured tamoxifen-resisant breast cancer cells.

Publication Title

An epigenomic approach to therapy for tamoxifen-resistant breast cancer.

Sample Metadata Fields

Cell line, Treatment

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accession-icon SRP045837
RNA-Seq analysis comparing p53-null versus ?Np63?/?;p53-null or ?Np73?/?;p53-null thymic lymphoma tumors
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We performed an RNA-Seq analysis comparing thymic lymphoma tissues from the p53-null(n=2) and ?Np63?/?;p53-/- (n=3) or ?Np73?/?;p53-/-(n=3). Mice at 10 weeks of age were injected with either Ad-mCherry or Ad-CRE-mCherry to delete ?Np63/?Np73 in the thymic lmyphomas. We aimed to test by deleting the DNp63/DNp73 in these p53-deficient tumors will mediate tumor regression and analyze the expression profile of the genes Overall design: Examination of thymic lymphoma tissues in 3 different genotypes (p53-/- vs ?Np63?/?;p53-/- or ?Np73?/?;p53-/-)

Publication Title

IAPP-driven metabolic reprogramming induces regression of p53-deficient tumours in vivo.

Sample Metadata Fields

No sample metadata fields

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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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