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accession-icon GSE139271
Host-microbe interactions following L. plantarum administration in SIV-infected and uninfected rhesus macaques
  • organism-icon Macaca mulatta
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Rhesus Macaque Genome Array (rhesus)

Description

We used microarrays to detail the global gene expression changes in the ileum of SIV-infected and uninfected macaques following administration of L. plantarum.

Publication Title

PPARα-targeted mitochondrial bioenergetics mediate repair of intestinal barriers at the host-microbe intersection during SIV infection.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE67527
Gene expression comparison between fibroblasts samples of control and SPOAN affected patients
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Objective: Analyze expression patterns of genes located at linkage region of SPOAN syndrome (11q12-13), in order to identify genes differentially expressed in samples of SPOAN individuals compared to healthy controls.

Publication Title

Overexpression of KLC2 due to a homozygous deletion in the non-coding region causes SPOAN syndrome.

Sample Metadata Fields

Specimen part

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accession-icon GSE45853
Tight coordination of protein translation and heat shock factor 1 activation supports the anabolic malignant state
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000, Affymetrix HT Human Genome U133A Array (hthgu133a)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Tight coordination of protein translation and HSF1 activation supports the anabolic malignant state.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE45851
Tight coordination of protein translation and heat shock factor 1 activation supports the anabolic malignant state [Gene Expression Data]
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix HT Human Genome U133A Array (hthgu133a), Illumina HiSeq 2000

Description

A unifying characteristic of aggressive cancers is a profound anabolic shift in metabolism to enable sustained proliferation and biomass expansion. The ribosome is centrally situated to sense metabolic states but whether it impacts systems that promote cellular survival is unknown. Here, through integrated chemical-genetic analyses, we find that a dominant transcriptional effect of blocking protein translation in cancer cells is complete inactivation of heat shock factor 1 (HSF1), a multifaceted transcriptional regulator of the heat-shock response and many other cellular processes essential for tumorigenesis. Translational flux through the ribosome reshapes the transcriptional landscape and links the fundamental anabolic processes of protein production and energy metabolism with HSF1 activity. Targeting this link deprives cancer cells of their energy and chaperone armamentarium thereby rendering the malignant phenotype unsustainable.

Publication Title

Tight coordination of protein translation and HSF1 activation supports the anabolic malignant state.

Sample Metadata Fields

Specimen part

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accession-icon GSE33030
Effects of pregnancy and progesterone supplementation on endometrial gene expression in cattle
  • organism-icon Bos taurus
  • sample-icon 78 Downloadable Samples
  • Technology Badge Icon Affymetrix Bovine Genome Array (bovine)

Description

An increase in circulating progesterone (P4) concentrations is associated with increased pregnancy success in beef and dairy cattle. Our objective was to ascertain differential effects of elevated P4 concentrations following conception on endometrial gene expression in beef heifers on Days 5, 7, 13 and 16 of pregnancy, corresponding to the morula, blastocyst, elongation and maternal recognition of pregnancy stages, respectively. Estrus was synchronized in beef heifers (N=263). Two-thirds (N=140) were inseminated (Day 0), and all animals were randomly assigned to one of the following treatments: (i) pregnant, high P4; (ii) pregnant, normal P4; (iii) cycling, high P4; (iv) and cycling, normal P4. All high P4 groups received a P4 release intravaginal device (PRID) on Day 3 post-estrus/mating. Tissue was collected on Days 5, 7, 13 or 16 of the cycle or pregnancy, and pregnancy was confirmed by the presence of an appropriately developed embryo/conceptus. PRID insertion elevated (P<0.05) P4 concentrations from Day 3.5 to 8 compared with untreated animals and conceptus size was larger (P<0.05) in animals with elevated P4 on Days 13 and 16 compared with normal P4. Total RNA was extracted from predominantly intercaruncular endometria from the ipsilateral uterine horn. Samples from individual heifers were selected on the basis of their P4 profiles and gene expression was analyzed using bovine Affymetrix microarrays (N=5 per treatment per time point). Microarray data from analyses using Bioconductor GCRMA and Limma packages were subjected to a modified t-test and P-values were adjusted for multiple testing using the Benjamin and Hochberg false discovery rate method. Differentially expressed genes were selected on the basis of an adjusted P-value of <0.01. There were no detectable differences in gene expression in endometria from pregnant and cyclic heifers on Days 5, 7 and 13 post-estrus, but, the expression of 764 genes was altered due to the presence of the conceptus at maternal recognition of pregnancy (Day 16). On Days 5 and 7, elevated P4 in pregnant heifers, altered the expression of 36 and 124 genes respectively but on Days 13 and 16 there were relatively few DEG between high and normal P4 heifers (15 and 25). Of the genes that were differentially regulated by P4, the majority were unique to a specific day of the estrous cycle/early pregnancy. In conclusion, gene expression in endometria did not differ between pregnant and cycling heifers until Day 16 of pregnancy (i.e. the time of maternal recognition of pregnancy and production of interferon tau by conceptus trophectoderm); however, elevating P4 in early pregnancy programmed changes in gene expression in endometria that are hypothesized to impact early conceptus growth and development. Thus, on Days 5, 7 and 13 differential gene expression was affected by P4, but on Day 16 the conceptus primarily influenced gene expression in uterine endometria of heifers.

Publication Title

Conceptus-induced changes in the endometrial transcriptome: how soon does the cow know she is pregnant?

Sample Metadata Fields

Specimen part, Time

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accession-icon GSE27469
Drivers of gene expression in cervical cancer
  • organism-icon Homo sapiens
  • sample-icon 78 Downloadable Samples
  • Technology Badge IconIllumina HumanWG-6 v3.0 expression beadchip

Description

Gene expression profiling of 82 patients with cervical cancer was performed. The expression data were correlated with copy number alterations of the same patients, as assessed with array CGH in a separate study, in order to identify drivers of cervical cancer carcinogenesis.

Publication Title

Gene network reconstruction reveals cell cycle and antiviral genes as major drivers of cervical cancer.

Sample Metadata Fields

Specimen part

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accession-icon GSE29009
In vitro knockdown of LAMP3 leads to down-regulation of interferon-inducible genes
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

We identified LAMP3 as a key driver gene of anti-viral subnetwork genes in cervical cancer patients. Therefore we tested this prediction using an in vitro system. This is the first direct demonstration of LAMP3 regulatory role in interferon-dependent immune response.

Publication Title

Gene network reconstruction reveals cell cycle and antiviral genes as major drivers of cervical cancer.

Sample Metadata Fields

Disease, Cell line, Treatment, Time

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accession-icon GSE65496
The TCR activation acts as a tumor suppressor mechanism in T-ALL
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Developmental checkpoints in stem/progenitor cells are critical to the determination, commitment and differentiation into distinct lineages. Cancer cells often retain expression of lineage-specific checkpoint proteins, but their potential impact in cancer remains elusive. T lymphocytes mature in the thymus following a highly orchestrated developmental process that entails the successive rearrangements and expression of T-cell receptor (TCR) genes. Low affinity recognition of self-peptide/MHC complexes (self-pMHC) presented by thymic epithelial cells by the TCR of CD4+CD8+ (DP) cortical thymocytes transduces positive selection signals that ultimately shape the developing T cell repertoire. DP thymocytes not receiving these signals die by lack of stimulation whereas those that recognize self-pMHC with high affinity undergo TCR-mediated apoptosis and negative selection. In T-cell acute lymphoblastic leukaemia (T-ALL), leukaemic transformation of maturating thymocytes results from the acquisition of multiple genetic and epigenetic alterations in oncogenes and tumour suppressor genes, that disrupt the normal regulatory circuits and drive clonal expansion of differentiation-arrested lymphoblasts. We show here that TCR triggering by negatively-selecting self-pMHC prevented T-ALL development and leukaemia maintenance in mice. Induction of TCR signalling by high affinity self-pMHC or treatment with monoclonal antibodies to the CD3 signalling chain (anti-CD3) caused massive leukaemic cell death and a gene expression program resembling that of thymocyte negative selection. Importantly, anti-CD3 treatment hampered leukaemogenesis in mice transplanted with either mouse or patient-derived T-ALLs. These data provide a rationale for targeted therapy based on anti-CD3 treatment of T-ALL patients and demonstrate that endogenous developmental checkpoint proteins are amenable to therapeutic intervention in cancer cells.

Publication Title

Triggering the TCR Developmental Checkpoint Activates a Therapeutically Targetable Tumor Suppressive Pathway in T-cell Leukemia.

Sample Metadata Fields

Cell line

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accession-icon GSE12170
Global Analysis of the Meiotic Crossover Landscape
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 82 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome S98 Array (ygs98)

Description

Using microarrays to genotype the parental origin of progeny resulting from a cross between S96 and YJM789 yeast strains, we mapped the distribution of crossovers that occurred during meiosis. Knowledge of the crossover distribution allowed us to assess changes in crossover control in wild type and mutant strains.

Publication Title

Global analysis of the meiotic crossover landscape.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE26629
Development of patient-specific neurons in schizophrenia using induced pluripotent stem cells: proof of principle and preliminary findings
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Induced pluripotent stem cell (iPSC) technology has the potential to address the inaccessibility of the human brain by providing investigators with patient-specific neurons that can potentially be used to carry out molecular, electrophysiological and pharmacological studies {{855 Takahashi,K. 2006}}. Although iPSC technology was primarily conceived and developed as a means to bypass the use of human embryonic stem cells (hESCs) for regenerative medicine, its potential for disease modeling may prove to be equally valuable, especially for neuropsychiatric disorders.

Publication Title

Development of patient-specific neurons in schizophrenia using induced pluripotent stem cells.

Sample Metadata Fields

Sex, Age, Specimen part, Time

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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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