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accession-icon GSE36378
Mapping the Transcriptional Landscape of Autoimmune Targeted Tissues: Transient Alterations in the Extracellular Milieu Precede Innate and Delayed Adaptive Immune Responses in Spontaneous Experimental Autoimmunity.
  • organism-icon Mus musculus
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The C57BL/6.NOD-Aec1Aec2 mouse is a model for primary Sjgrens syndrome and was constructed by introducing two genetic intervals derived from the NOD mouse that confers Sjgrens syndrome (SjS)-like disease in SjS-non-susceptible C57BL/6 mice.

Publication Title

Transcriptional landscapes of emerging autoimmunity: transient aberrations in the targeted tissue's extracellular milieu precede immune responses in Sjögren's syndrome.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE76822
Inhibition of Notch pathway arrests PTEN-deficient advanced prostate cancer by triggering p27-driven cellular senescence
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge IconIllumina MouseRef-8 v2.0 expression beadchip

Description

we evaluated the mechanism behind NOTCH activation in prostate cancer

Publication Title

Inhibition of Notch pathway arrests PTEN-deficient advanced prostate cancer by triggering p27-driven cellular senescence.

Sample Metadata Fields

Specimen part

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accession-icon GSE36975
Expression of Human nave B cell priming for plasma cell differentiation
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

To explore events that govern the differentiation of human nave B cells (NBCs) into memory B cells and plasma cells (PCs), we designed an in vitro 2-step culture model leading non-switched NBC precursors to differentiate into two cell compartments: CD20loCD38hi and CD20+CD38+.

Publication Title

IL-2 requirement for human plasma cell generation: coupling differentiation and proliferation by enhancing MAPK-ERK signaling.

Sample Metadata Fields

Specimen part, Subject, Time

View Samples
accession-icon GSE59630
Longitudinal Gene Expression Analysis in Human Brain identifies biological processes underlying neuropathology in Down Syndrome
  • organism-icon Homo sapiens
  • sample-icon 116 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Trisomy 21 (Ts21) or Down syndrome (DS) is the most common genetic cause of intellectual disability. To investigate the consequences of Ts21 on human brain development, we have systematically analyzed the transcriptome of dorsolateral prefrontal cortex (DFC) and cerebellar cortex (CBC) using exon array mapping in DS and matched euploid control brains spanning from prenatal development to adulthood. We identify hundreds of differentially expressed (DEX) genes in the DS brains, many of which exhibit temporal changes in expression over the lifespan. To gain insight into how these DEX genes may cause specific DS phenotypes, we identified functional modules of co-expressed genes using several different bioinformatics approaches, including WGCNA and gene ontology analysis. A module comprised of genes associated with myelination, including those dynamically expressed over the course of oligodendrocyte development, was amongst those with the great levels of differential gene expression. Using Ts65Dn mouse line, the most common rodent model of DS, w e observed significant and novel defects in oligodendrocyte maturation and myelin ultrastructure; establishing a correlative proof-of-principle implicating myelin dysgenesis in DS. Thus, examination of the spatio-temporal transcriptome predicts specific cellular and functional events in the DS brain and is an outstanding resource for determining putative mechanisms involved in the neuropathology of DS.

Publication Title

Down Syndrome Developmental Brain Transcriptome Reveals Defective Oligodendrocyte Differentiation and Myelination.

Sample Metadata Fields

Sex, Disease, Race

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accession-icon SRP109283
Formin 2 Links Neuropsychiatric Phenotypes At Young Age To An Increased Risk For Dementia
  • organism-icon Mus musculus
  • sample-icon 43 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Age-associated memory decline is due to variable combinations of genetic and environmental risk factors. How these risk factors interact to drive disease onset is currently unknown. Here we begin to elucidate the mechanisms by which post-traumatic stress disorder (PTSD) at a young age contributes to an increased risk to develop dementia at old age. We show that the actin nucleator Formin 2 (Fmn2) is deregulated in PTSD and in Alzheimer’s disease (AD) patients. Young mice lacking the Fmn2 gene exhibit PTSD-like phenotypes and corresponding impairments of synaptic plasticity while the consolidation of new memories is unaffected. However, Fmn2 mutant mice develop accelerated age-associated memory decline that is further increased in the presence of additional risk factors and is mechanistically linked to a loss of transcriptional homeostasis. In conclusion, our data present a new approach to explore the connection between AD risk factors across life span and provide mechanistic insight to the processes by which neuropsychiatric diseases at a young age affect the risk for developing dementia. Overall design: Role of Fmn2 gene for PTSD like phenotypes and impairments of synaptic plasticity.

Publication Title

Formin 2 links neuropsychiatric phenotypes at young age to an increased risk for dementia.

Sample Metadata Fields

Age, Cell line, Subject

View Samples
accession-icon GSE74245
Activation of the pyruvate dehydrogenase complex dictates tumour progression in prostate cancer
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina MouseRef-8 v2.0 expression beadchip

Description

Metabolism in cancer serves to provide energy and key biomolecules that sustain cell growth, a process that is frequently accompanied by decreased mitochondrial use of glucose. Importantly, metabolic intermediates including mitochondrial metabolites are central substrates for post-translational modifications at the core of cellular signalling and epigenetics. However, the molecular means that coordinate the use of mitochondrial metabolites for anabolism and nuclear protein modification are poorly understood. Here, we unexpectedly found that genetic and pharmacological inactivation of Pyruvate Dehydrogenase A1 (PDHA1), a subunit of pyruvate dehydrogenase complex (PDC) that regulates mitochondrial metabolism16 inhibits prostate cancer development in different mouse and human xenograft tumour models. Intriguingly, we found that lipid biosynthesis was strongly affected in prostate tumours upon PDC inactivation. Mechanistically, we found that nuclear PDC controls the expression of Sterol regulatory element-binding transcription factor (SREBF) target genes by mediating histone acetylation whereas mitochondrial PDC provides cytosolic citrate for lipid synthesis in a coordinated effort to sustain anabolism. In line with the oncogenic function of PDC in prostate cancer, we find that PDHA1 and the PDC activator, Pyruvate dehydrogenase phospatase 1 (PDP1), are frequently amplified and overexpressed at both gene and protein level in these tumours. Taken together, our findings demonstrate that both mitochondrial and nuclear PDC sustains prostate tumourigenesis by controlling lipid biosynthesis thereby pointing at this complex as a novel target for cancer therapy.

Publication Title

Compartmentalized activities of the pyruvate dehydrogenase complex sustain lipogenesis in prostate cancer.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE34559
Tie-2 expressing monocytes (TEM) expression data
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

TEM differentiated in vitro were exposed to treatments increasing or decreasing their proangiogenic activity. We used microarrays to identify the genes differentially expressed among the treatments and associated to changes in TEM proangiogenic and protumoral functions.

Publication Title

TIE-2 and VEGFR kinase activities drive immunosuppressive function of TIE-2-expressing monocytes in human breast tumors.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE78753
A Preclinical Model for ER-Positive Breast Cancer Points to the Epithelial Microenvironment as Determinant of Luminal Phenotype and Hormone Response
  • organism-icon Homo sapiens
  • sample-icon 16 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

A Preclinical Model for ERα-Positive Breast Cancer Points to the Epithelial Microenvironment as Determinant of Luminal Phenotype and Hormone Response.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE74608
A Preclinical Model for ER-Positive Breast Cancer Points to the Epithelial Microenvironment as Determinant of Luminal Phenotype and Hormone Response [BT20 & HCC1806]
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

A high percentage of potential oncology drugs fail in clinical trials, partly because preclinical models used to test them are inadequate. Breast cancer is the leading cause of cancer-related death among women worldwide but we lack appropriate in vivo models for the ER+ subtypes, which represent more than 75% of all cases. We address these issues by xenografting tumor cells to their site of origin, the milk ducts. All ER+ cell lines and patient-derived xenografts grow mimicking their clinical counterparts. Disease progresses with invasion and metastasis, which become amenable to study. The action of hormones, important in breast carcinogenesis, can now be studied in a relevant context. Importantly, these open opportunities for development and evaluation of therapies.

Publication Title

A Preclinical Model for ERα-Positive Breast Cancer Points to the Epithelial Microenvironment as Determinant of Luminal Phenotype and Hormone Response.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE68694
A Preclinical Model for ER-Positive Breast Cancer Points to the Epithelial Microenvironment as Determinant of Luminal Phenotype and Hormone Response [MCF7]
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

A high percentage of potential oncology drugs fail in clinical trials, partly because preclinical models used to test them are inadequate. Breast cancer is the leading cause of cancer-related death among women worldwide but we lack appropriate in vivo models for the ER+ subtypes, which represent more than 75% of all cases. We address these issues by xenografting tumor cells to their site of origin, the milk ducts. All ER+ cell lines and patient-derived xenografts grow mimicking their clinical counterparts. Disease progresses with invasion and metastasis, which become amenable to study. The action of hormones, important in breast carcinogenesis, can now be studied in a relevant context. Importantly, these open opportunities for development and evaluation of therapies.

Publication Title

A Preclinical Model for ERα-Positive Breast Cancer Points to the Epithelial Microenvironment as Determinant of Luminal Phenotype and Hormone Response.

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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