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accession-icon SRP189843
Engram-specific transcriptome profiling of contextual memory consolidation
  • organism-icon Mus musculus
  • sample-icon 34 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Sparse populations of neurons in the dentate gyrus (DG) of the hippocampus are causally implicated in the encoding of contextual fear memories. However, engram-specific molecular mechanisms underlying memory consolidation remain largely unknown. Here we perform unbiased RNA sequencing of DG engram neurons 24h after contextual fear conditioning to identify transcriptome changes specific to memory consolidation. DG engram neurons exhibit a highly distinct pattern of gene expression, in which CREB-dependent transcription features prominently (P=6.2x10-13), including Atf3 (P=2.4x10-41), Penk (P=1.3x10-15), and Kcnq3 (P=3.1x10-12). Moreover, we validate the functional relevance of the RNAseq findings by establishing the causal requirement of intact CREB function specifically within the DG engram during memory consolidation, and identify a novel group of CREB target genes involved in the encoding of long-term memory. Overall design: Biological replicates: Fear conditioned: n=14, No shock controls: n=4, Home cage controls:n=3. The contents 10 dVenus+ and 10 dVenus- cells were aspirated from each animal (biological replicate)

Publication Title

Engram-specific transcriptome profiling of contextual memory consolidation.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

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accession-icon SRP049826
Whole-transcriptome analysis of endothelial-to-hematopoietic stem cell transition
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Hematopoietic stem cells (HSCs) are generated via a natural transdifferentiation process known as endothelial-to-hematopoietic cell transition (EHT). Due to small numbers of embryonal arterial cells undergoing EHT and the paucity of markers to enrich for hemogenic endothelial cells, the genetic program driving HSC emergence is largely unknown. Here, we use a highly sensitive RNAseq method to examine the whole transcriptome of small numbers of enriched aortic HSCs (CD31+cKit+Ly6aGFP+), hemogenic endothelial cells (CD31+cKit-Ly6aGFP+) and endothelial cells (CD31+cKit-Ly6aGFP-). Overall design: Comparison of mRNA profiles of endothelial cells, hemogenic endothelial cells, and hematopoietic stem cells generated by deep-sequencing of sorted populations from pool of embryos, in triplicate.

Publication Title

Whole-transcriptome analysis of endothelial to hematopoietic stem cell transition reveals a requirement for Gpr56 in HSC generation.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE19188
Expression data for early stage NSCLC
  • organism-icon Homo sapiens
  • sample-icon 156 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We identified a tumor signature of 5 genes that aggregates the 156 tumor and normal samples into the expected groups. We also identified a histology signature of 75 genes, which classifies the samples in the major histological subtypes of NSCLC. A prognostic signature of 17 genes showed the best association with post-surgery survival time. The performance of the signatures was validated using a patient cohort of similar size

Publication Title

Gene expression-based classification of non-small cell lung carcinomas and survival prediction.

Sample Metadata Fields

Sex, Specimen part

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accession-icon SRP127016
Thyroid State Regulates Gene Expression in Human Whole Blood Cells
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Context: Despite the well-recognized clinical features due to insufficient or excessive thyroid hormone (TH) levels in humans, it is largely unknown which genes are regulated by TH in human tissues. objective: To study the effect of TH on human gene expression profiles in whole blood, mainly consisting of TRa-expressing cells. Methods: We performed next-generation RNA sequencing on whole blood samples from 8 athyroid patients (4 females) on and after 4 weeks off levothyroxine replacement. Gene expression changes were analyzed through paired differential expression analysis and confirmed in a validation cohort. Weighted gene co-expression network analysis (WGCNA) was applied to identify thyroid state-related networks. Results: We detected 486 differentially expressed (DE) genes (fold-change above 1.5; multiple testing corrected P-value <0.05), of which 76 % were positively and 24 % were negatively regulated. Gene ontology (GO) enrichment analysis revealed that 3 biological processes were significantly overrepresented of which the process translational elongation showed the highest fold enrichment (7.3 fold, P=1.8 x 10-6). Comparative transcriptome analysis revealed significant overlap with DE-genes in muscle samples upon different thyroid state (1.7-fold enrichment; P=0.02). WGCNA analysis independently identified various gene clusters that correlated with thyroid state. Further GO-analysis suggested that thyroid state regulates platelet function. Conclusions: Changes in thyroid state regulate numerous genes in human whole blood, predominantly TRa-expressing leukocytes. In addition, TH may regulate gene expression in platelets. Whole blood samples might potentially be used as a proxy for other TRa-expressing tissues in humans. Overall design: Transcriptome profiling (RNA-Seq) of 8 thyroidectomized human whole blood samples, sequenced first in hypothyroid state and after levothyroxine supplementation sequenced in a hypothyroid (mild thyreotoxic state) state on a Illumina HiSeq 2500 system.

Publication Title

Thyroid State Regulates Gene Expression in Human Whole Blood.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE45867
Effects of tocilizumab versus methotrexate therapy on gene expression profiles in the early rheumatoid arthrtis synovium
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Rheumatoid arthritis (RA) is a chronic, systemic autoimmune inflammatory disease that is characterized by the presence of inflammatory cytokines, including interleukin-6 (IL-6). Here, we investigated the global molecular effects of Tocilizumab, an approved humanized anti-IL6 Receptor antibody, versus Methotrexate therapy, in synovial biopsy samples collected prospectively in early RA before and 12 weeks after administration of the drug. The results were compared with our previous data, generated in prospective cohorts of Adalimumab- and Rituximab-treated (Methotrexate- and anti-TNF-resistant, respectively) RA patients.

Publication Title

Global molecular effects of tocilizumab therapy in rheumatoid arthritis synovium.

Sample Metadata Fields

Sex, Age

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accession-icon GSE24742
Effects of Rituximab on global gene expression profiles in the RA synovium
  • organism-icon Homo sapiens
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Objective: Rituximab displays therapeutic benefits in the treatment of rheumatoid arthritis (RA) patients resistant to TNF blockade. However, the precise role of B cells in the pathogenesis of RA is still unknown. In this study we investigated the global molecular effects of rituximab in synovial biopsies obtained from anti-TNF resistant RA patients before and after administration of the drug.

Publication Title

Rituximab treatment induces the expression of genes involved in healing processes in the rheumatoid arthritis synovium.

Sample Metadata Fields

Sex, Specimen part, Disease, Disease stage, Treatment

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accession-icon GSE15602
Differential gene expression in RA synovial biopsies from responders versus non-responders to adalimumab therapy
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

TNF antagonists are routinely used in severe rheumatoid arthritis (RA) patients who failed conventional DMARD therapy. According to large clinical trials, the three available drugs (adalimumab, infliximab and etanercept) display similar effects in terms of efficacy, tolerability and side effects. These studies also indicate that about 25% of RA patients treated with TNF-antagonists do not display any significant clinical improvement.

Publication Title

Gene expression profiling in the synovium identifies a predictive signature of absence of response to adalimumab therapy in rheumatoid arthritis.

Sample Metadata Fields

Specimen part, Disease

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accession-icon GSE15615
Differential effects of TNFalpha and IL1beta on FLS global gene expression profile
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

TNFalpha and IL1beta play a pathogenic role in rheumatoid arthritis. Both cytokines are known to activate cytokine and metalloproteinase secretion by synovial fibroblasts. In the present study, we wanted to investigate whether TNFalpha and IL1beta displayed differential effects on cultured Fibroblast-like Synovial Cells derived from RA patients. Global gene expression analyses indicated that both cytokines induced similar genes in these cells.

Publication Title

Gene expression profiling in the synovium identifies a predictive signature of absence of response to adalimumab therapy in rheumatoid arthritis.

Sample Metadata Fields

Specimen part, Disease, Treatment

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accession-icon GSE4766
Decline of Nucleotide Excision Repair Capacity in Aged Caenorhabditis elegans
  • organism-icon Caenorhabditis elegans
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix C. elegans Genome Array (celegans)

Description

We used gene expression profiling to address several specific questions that arose in a study of repair of ultraviolet C radiation in C elegans, as well as to generate hypotheses regarding the possible mechanism(s) of decreased DNA repair observed in old adults in that study. This analysis was performed in order to analyze gene expression in the strain (JK1107) and experimental conditions that we used for our DNA repair studies.

Publication Title

Decline of nucleotide excision repair capacity in aging Caenorhabditis elegans.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP098713
Targeted Apoptosis of Senescent Cells Restores Tissue Homeostasis in Response to Chemotoxicity and Aging
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

The accumulation of irreparable cellular damage restricts healthy lifespan after acute stress or natural aging. Senescent cells are thought to impair tissue function and their genetic clearance can successfully delay features of aging. Identifying how senescent cells avoid apoptosis would allow for the prospective design of anti-senescence compounds to address whether homeostasis can be restored. Here, we identify FOXO4 as a pivot in the maintenance of senescent cell viability. We designed a FOXO4-based peptide which selectively competes for interaction of FOXO4 with p53. In senescent cells, this results in p53 nuclear exclusion and cell-intrinsic apoptosis. Importantly, under conditions where it was well tolerated, the FOXO4 peptide restored liver function after Doxorubicin-induced chemotoxicity. Moreover, in fast aging XpdTTD/TTD, as well as in naturally aged mice the FOXO4 peptide could counteract the loss of fitness, fur density and renal function. Thus, it is possible to therapeutically target senescent cells and thereby effectively counteract senescence-associated loss of tissue homeostasis. Overall design: mRNA expression levels are compared between IR-induced senescent and proliferating IMR90 cells in triplicate

Publication Title

Targeted Apoptosis of Senescent Cells Restores Tissue Homeostasis in Response to Chemotoxicity and Aging.

Sample Metadata Fields

Specimen part, Cell line, 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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