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accession-icon GSE9719
Dynamics of mRNA abundance and translation in response to short and prolonged hypoxia and reoxygenation
  • organism-icon Arabidopsis thaliana
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Gene expression analysis of 7d-old Arabidopsis seedlings exposed to short term (2 h) hypoxia, long term (9 h) hypoxia, and 1 h reoxygenation after long term (9 h) hypoxia to evaluate the regulation of gene expression at the level of translation.

Publication Title

Selective mRNA translation coordinates energetic and metabolic adjustments to cellular oxygen deprivation and reoxygenation in Arabidopsis thaliana.

Sample Metadata Fields

Age

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accession-icon GSE73535
Histone Deacetylase 3
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Histone Deacetylase 3 Is Required for Efficient T Cell Development.

Sample Metadata Fields

Specimen part

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accession-icon SRP063574
Histone Deacetylase 3 is required for efficient T cell development
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Hdac3 is an important target of HDAC inhibitors used in the treatment of cutaneous T cell lymphoma. In order to gain an understanding of Hdac3 function in T cells,we deleted Hdac3 from early mouse thymocytes using LCK-Cre. Hdac3 deletion resulted in a loss of single positive thymocytes due to a defect in positive selection at the double positive (DP) stage of thymocyte development. To better characterize this defect, we sorted the DP1 and DP2 populations to for gene expression profiling. Overall design: Total RNA was extracted from DP1 (GFP+CD4+CD8+CD5loTCRblo) or DP2 (GFP+CD4+CD8+CD5hiTCRbint) thymocytes isolated by FACS from Hdac3+/+ or Hdac3F/F LCK-Cre+ animals. Libraries were constructed from rRNA-depleted total RNA pools to identify altered gene expression in DP populations following Hdac3 deletion.

Publication Title

Histone Deacetylase 3 Is Required for Efficient T Cell Development.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE21419
Laser Capture Microdissection of Hyperlipidemic Mouse Aorta Atherosclerosis
  • organism-icon Mus musculus
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302), Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Atherosclerosis is a transmural chronic inflammatory condition of small and large arteries that is associated with adaptive immune responses at all disease stages. However, impacts of adaptive immune reactions on clinically apparent atherosclerosis such as intima lesion (plaque) rupture, thrombosis, myocardial infarction, and aneurysm largely remain to be identified. It is increasingly recognized that leukocyte infiltrates in plaque, media, and adventitia are distinct but their specific roles have not been defined. To map these infiltrates, we employed laser capture microdissection (LCM) to isolate the three arterial wall laminae using apoE-/- mouse aorta as a model. RNA from LCM-separated tissues was extracted and large scale whole genome expression microarrays were prepared. We observed that the quality of the resulting gene expression maps was compromised by tissue RNA carried over from adjacent laminae during LCM. To account for these flaws, we established quality controls and algorithms to improve the predictive power of LCM-derived microarray data. Our approach creates robust transcriptome atlases of normal and atherosclerotic aorta. Assessing LCM transcriptomes for immunity-related mRNAs indicated markedly distinctive gene expression patterns in the three laminae of the atherosclerotic aorta. These mouse mRNA expression data banks can now be mined to address a wide range of questions in cardiovascular biology.

Publication Title

The lamina adventitia is the major site of immune cell accumulation in standard chow-fed apolipoprotein E-deficient mice.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE54316
Expression data of human fetal liver hematopoietic stem and progenitors cells
  • organism-icon Homo sapiens
  • sample-icon 8 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

GPI-80 defines self-renewal ability in hematopoietic stem cells during human development.

Sample Metadata Fields

Specimen part

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accession-icon GSE54314
Expression data of human fetal liver hematopoietic stem and progenitors cells [Set 1]
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Advances in pluripotent stem cell and reprogramming technologies have given hope of generating hematopoietic stem cells (HSC) in culture. To succeed, greater understanding of the self-renewing HSC during human development is required. We discovered that glycophosphatidylinositol-anchored surface protein GPI-80 (Vanin 2) defines a distinct subpopulation of human fetal hematopoietic stem/progenitor cells (HSPC) with self-renewal ability. CD34+CD90+CD38-GPI-80+ HSPC were the sole population that maintained proliferative potential and undifferentiated state in bone marrow stroma co-culture, and engrafted in immunodeficient mice. GPI-80 expression also enabled tracking of HSC migration between human fetal hematopoietic niches. The most highly enriched surface protein in GPI-80+ HSPC as compared to their progeny was Integrin alpha-M (ITGAM), which in leukocytes cooperates with GPI-80 to support migration. Knockdown of either GPI-80 or ITGAM was sufficient to perturb undifferentiated HSPC in stroma co-culture. These findings indicate that human fetal HSC utilize common mechanisms with leukocytes for cell-cell interactions governing HSC self-renewal.

Publication Title

GPI-80 defines self-renewal ability in hematopoietic stem cells during human development.

Sample Metadata Fields

Specimen part

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accession-icon GSE54315
Expression data of human fetal liver hematopoietic stem and progenitors cells [Set 2]
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Advances in pluripotent stem cell and reprogramming technologies have given hope of generating hematopoietic stem cells (HSC) in culture. To succeed, greater understanding of the self-renewing HSC during human development is required. We discovered that glycophosphatidylinositol-anchored surface protein GPI-80 (Vanin 2) defines a distinct subpopulation of human fetal hematopoietic stem/progenitor cells (HSPC) with self-renewal ability. CD34+CD90+CD38-GPI-80+ HSPC were the sole population that maintained proliferative potential and undifferentiated state in bone marrow stroma co-culture, and engrafted in immunodeficient mice. GPI-80 expression also enabled tracking of HSC migration between human fetal hematopoietic niches. The most highly enriched surface protein in GPI-80+ HSPC as compared to their progeny was Integrin alpha-M (ITGAM), which in leukocytes cooperates with GPI-80 to support migration. Knockdown of either GPI-80 or ITGAM was sufficient to perturb undifferentiated HSPC in stroma co-culture. These findings indicate that human fetal HSC utilize common mechanisms with leukocytes for cell-cell interactions governing HSC self-renewal.

Publication Title

GPI-80 defines self-renewal ability in hematopoietic stem cells during human development.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE40393
Gene x environment effect of serotonin transporter genotype and acute stressor on amygdala gene expression
  • organism-icon Mus musculus
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The amygdala is a prominent region of the brain processing stress-related emotion and vigilance. Additionally it is known that the serotonergic system is strongly involved in stress response and adaptation. The serotonin transporter (5-HTT) as key regulator of serotonergic activity in the brain is associated with stress-related neuropsychiatric disorders as well as heightened trait anxiety/dysphoria and exaggerated response to fear and environmental stress in humans. Also 5-HTT knockout mice display increased anxiety- and depression-related behaviors, altered stress reactivity and stress-coping abilities, gene expression differences and altered dendritic morphology.

Publication Title

Effect of acute stressor and serotonin transporter genotype on amygdala first wave transcriptome in mice.

Sample Metadata Fields

Sex, Specimen part, Treatment

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accession-icon GSE9493
Transcriptomic analyses of renal allograft biopsies reveal conserved rejection signatures and molecular pathways
  • organism-icon Homo sapiens
  • sample-icon 80 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

Analysis of independent microarray datasets of renal biopsies identifies a robust transcript signature of acute allograft rejection.

Sample Metadata Fields

Sex, Age, Subject

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accession-icon GSE9489
Analyses of heterogeneous renal allograft biopsies reveal conserved rejection signatures and molecular pathways I
  • organism-icon Homo sapiens
  • sample-icon 58 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Specific early diagnosis of renal allograft rejection is gaining importance in the current trend to minimize and individualize immunosuppression. Gene expression analyses could contribute significantly by defining molecular Banff signatures. Several previous studies have applied transcriptomics to distinguish different classes of kidney biopsies. However, the heterogeneity of microarray platforms, clinical samples and data analysis methods complicates the identification of robust signatures for the different types and grades of rejection. To address these issues, a comparative meta-analysis was performed across five different microarray datasets of heterogeneous sample collections from two published clinical datasets and three own datasets including biopsies for clinical indications, protocol biopsies, as well as comparative samples from non-human primates (NHP). This work identified conserved gene expression signatures that can differentiate groups with different histopathological findings in both human and NHP, regardless of the technical platform used. The marker panels comprise genes that clearly support the biological changes known to be involved in allograft rejection. A characteristic dynamic expression change of genes associated with immune and kidney functions was observed across samples with different grades of CAN. In addition, differences between human and NHP rejection were essentially limited to genes reflecting interstitial fibrosis progression. This data set comprises all renal allograft biopsies for clinical indications from patients at Hpital Tenon, Paris (February 2003 until September 2004) and few respective patients from Hpital Bictre, Paris, Hpital Pellegrin, Bordeaux, and Hpital Dupuytren, Limoges, plus control normal kidney samples from Hpital Tenon, Paris, France (first batch).

Publication Title

Analysis of independent microarray datasets of renal biopsies identifies a robust transcript signature of acute allograft rejection.

Sample Metadata Fields

Subject

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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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