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accession-icon GSE12694
Cooperative actions of p53 and Pten in normal and neoplastic progenitor cell renewal and differentiation
  • organism-icon Mus musculus
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Glioblastoma (GBM) is a highly lethal brain tumor presenting as one of two subtypes with distinct clinical histories and molecular profiles. The primary GBM subtype presents acutely as high-grade disease that typically harbors EGFR, PTEN and Ink4a/Arf mutations, and the secondary GBM subtype evolves from the slow progression of low-grade disease that classically possesses PDGF and p53 events1. Here, we show that concomitant CNS-specific deletion of p53 and Pten in the mouse CNS generates a penetrant acute-onset high-grade malignant glioma phenotype with striking clinical, pathological and molecular resemblance to primary GBM in humans. This genetic observation prompted p53 and PTEN mutational analysis in human primary GBM, demonstrating unexpectedly frequent inactivating mutations of p53 as well the expected PTEN mutations. Integrated transcriptomic profling, in silico promoter analysis and functional studies of murine neural stem cells (NSCs) established that dual, but not singular, inactivation of p53 and Pten promotes an undifferentiated state with high renewal potential and drives elevated c-Myc levels and its associated signature. Functional studies validated increased c-Myc activity as a potent contributor to the impaired differentiation and enhanced renewal of p53-Pten null NSCs as well as tumor neurospheres (TNSs) derived from this model. c-Myc also serves to maintain robust tumorigenic potential of p53-Pten null TNSs. These murine modeling studies, together with confirmatory transcriptomic/promoter studies in human primary GBM, validate a pathogenetic role of a common tumor suppressor mutation profile in human primary GBM and establish c-Myc as a key target for cooperative actions of p53 and Pten in the regulation of normal and malignant stem/progenitor cell differentiation, self-renewal and tumorigenic potential.

Publication Title

p53 and Pten control neural and glioma stem/progenitor cell renewal and differentiation.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE13477
Gene Expression Analysis of ARC (NSC 188491) Treated MCF7 cells
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

ARC (NSC 188491, SMA-491), 4-amino-6-hydrazino-7-beta-d-ribofuranosyl-7H-pyrrolo-(2,3-d)-pyrimidine-5-carboxamide, is a nucleoside analog with profound in vitro anti-cancer activity. First identified in a high-throughput screen for inhibitors of p21 mRNA expression, subsequent experiments showed that ARC also repressed expression of hdm2 and survivin, leading to its classification as a global inhibitor of transcription 1. The following Hu U133 plus 2.0 arrays represent single time point (24 hour) gene expression analysis of transcripts altered by ARC treatment. Arrays for the other compounds (sangivamycin and doxorubicin) are included as comparators.

Publication Title

ARC (NSC 188491) has identical activity to Sangivamycin (NSC 65346) including inhibition of both P-TEFb and PKC.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE84571
Treatment of Venous Leg Ulcers with a Bioengineered Living Cell Construct Reactivates the Acute Wound Healing Response
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Chronic non-healing venous leg ulcers (VLUs) are a widespread debilitating disease with high morbidity and associated costs, as approximately $15 billion annually are spent on the care of VLUs. Despite their socioeconomic burden, there is a paucity of novel treatments targeted towards healing VLUs, which can be attributed to both lack of pathophysiologic insight into VLU development as well as lack of knowledge regarding biologic actions of VLU-targeted therapies. Currently, the bioengineered bilayered living cellular construct (BLCC) skin substitute is the only FDA-approved biologic treatment for healing VLUs. To elucidate the mechanisms through which the BLCC promotes healing of chronic VLUs, we conducted a clinical trial (NCT01327937) in which patients with non-healing VLUs were treated with either standard care (compression therapy) or with BLCC together with standard care. Tissue was collected from the VLU edge before and 1 week after treatment, and samples underwent comprehensive microarray, mRNA and protein analyses. Ulcers treated with BLCC skin substitute displayed three distinct patterns suggesting the mechanisms by which BLCC shifted a non-healing into a healing tissue response: it modulated inflammatory and growth factor signaling; it activated keratinocytes; and it attenuated Wnt/-catenin signaling. In these ways, BLCC application orchestrated a shift of the chronic non-healing ulcer microenvironment into a distinctive healing milieu resembling that of an acute, healing wound. Our findings also provide first patient-derived in vivo evidence of specific biologic processes that can be targeted in the design of therapies to promote healing of chronic VLUs.

Publication Title

A bioengineered living cell construct activates an acute wound healing response in venous leg ulcers.

Sample Metadata Fields

Specimen part, Disease stage, Time

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accession-icon GSE80178
Genomic Profiling of Diabetic Foot Ulcers Identifies miR-15b-5p as a Major Regulator that Leads to Suboptimal Inflammatory Response and Diminished DNA Repair Mechanisms
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

Diabetic foot ulcers (DFUs) are the leading cause of lower leg amputations in diabetic population. To better understand molecular pathophysiology of DFUs we used patients specimens and genomic profiling. We identified 3900 genes specifically regulated in DFUs. Moreover, we compared DFU to human skin acute wound (AW) profiles and found DNA repair mechanisms and regulation of gene expression among the processes specifically suppressed in DFUs, whereas essential wound healing-related processes, inflammatory/immune response or cell migration, were not activated properly. To identify potential regulators of DFU-specific genes, we used upstream target analysis. We found miR-15/16 family enriched in DFUs, but not in AW, which was confirmed by qPCR. We found that infection with the most common DFU colonizer, Staphylococcus aureus, triggers induction of miR-15-5p, which in turn, targets multiple DFU-specific genes, including genes involved in DNA repair (WEE1, MSH2 and RAD50) and the regulator of inflammatory pathway, IKBKB. Induction of miR-15b-5p, either by miR-mimic transfection in vitro or by S. aureus infection of acute wounds ex vivo, suppressed both WEE1 and IKBKB. Consequently, we detected an increase in DNA double strand breaks in DFUs. In summary, our data indicate that S. aureus infection, via induction of miR-15b-5p, may lead to suppression of DNA repair mechanisms and a sub-optimal inflammatory response, contributing to pathophysiology of DFU patients

Publication Title

Staphylococcus aureus Triggers Induction of miR-15B-5P to Diminish DNA Repair and Deregulate Inflammatory Response in Diabetic Foot Ulcers.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon GSE64400
Transmitted/founder hepatitis C viruses induce cell type- and genotype-specific differences in innate signaling within the liver
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

Primary human hepatocytes (PHHs) are a liver-specific cell subtype, and we have shown that these cells respond in a unique manner to the introduction of hepatitis C viral RNA (HCV vRNA) derived from different genotypes of the virus.

Publication Title

Transmitted/founder hepatitis C viruses induce cell-type- and genotype-specific differences in innate signaling within the liver.

Sample Metadata Fields

Specimen part

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accession-icon GSE48433
Microarray analysis of xenograft models in use at the Developmental Therapeutics Program of the National Cancer Institute (DTP-NCI)
  • organism-icon Homo sapiens
  • sample-icon 818 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Xenograft models remain a cornerstone technology in the development of anti-cancer agents. The ability of immunocompromised rodents to support the growth of human tumors provides an invaluable transition between in vitro testing and clinical trials. Therefore, approaches to improve model selection are required. In this study, cDNA microarray data was generated for a collection of xenograft models at in vivo passages 1, 4 and 10 (P1, P4 and P10) along with originating cell lines (P0). These data can be mined to determine transcript expression 1) relative to other models 2) with successive in vivo passage and 3) during the in vitro (P0) to in vivo (P1) transition.

Publication Title

Gene expression profiling of 49 human tumor xenografts from in vitro culture through multiple in vivo passages--strategies for data mining in support of therapeutic studies.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE49353
Evaluating cross-hybridization of murine cDNA to the Affymetrix Human Genome U133 Plus 2.0 chipset
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 27 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Transcriptomic studies of human tumor xenografts are complicated by the presence of murine cellular mRNA. As such, it is useful to know the extent to which mouse mRNA cross-hybridizes to any given array platform. In this study, murine cDNA samples from diverse sources were hybridized to Affymetrix Human Genome U133 Plus 2.0 Arrays. In this regard it is possible to identify specific probes that are potential targets of cross-species interference.

Publication Title

Gene expression profiling of 49 human tumor xenografts from in vitro culture through multiple in vivo passages--strategies for data mining in support of therapeutic studies.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE19655
Reprogramming of anaerobic metabolism by the FnrS Small RNA
  • organism-icon Escherichia coli
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix E. coli Genome 2.0 Array (ecoli2)

Description

Small RNAs (sRNA) that act by base pairing with trans-encoded mRNAs modulate metabolism in response to a variety of environmental stimuli. Here, we describe an Hfq-binding sRNA (FnrS) whose expression is induced upon a shift from aerobic to anaerobic conditions and which acts to down regulate the levels of a variety of mRNAs encoding metabolic enzymes. Anaerobic induction in minimal medium depends strongly on FNR but is also affected by ArcA and CRP. Whole genome expression analysis showed that the levels of at least 32 mRNAs are down regulated upon FnrS overexpression, 15 of which are predicted to base pair with FnrS by TargetRNA. The sRNA is highly conserved across its entire length in numerous enterobacteria, and mutation analysis revealed that two separate regions of FnrS base pair with different sets of target mRNAs. The majority of the target genes previously reported to be down regulated in an FNR-dependent manner lack recognizable FNR binding sites. We thus suggest that FnrS extends the FNR regulon and increases the efficiency of anaerobic metabolism by repressing the synthesis of enzymes that are not needed under these conditions.

Publication Title

Reprogramming of anaerobic metabolism by the FnrS small RNA.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE24875
The base pairing RNA Spot 42 participates in a multi-output feedforward loop to help enact catabolite repression in Escherichia coli
  • organism-icon Escherichia coli str. k-12 substr. mg1655
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix E. coli Genome 2.0 Array (ecoli2)

Description

Bacteria selectively consume some carbon sources over others through a regulatory mechanism termed catabolite repression. Here, we show that the base pairing RNA Spot 42 plays a broad role in catabolite repression in Escherichia coli by directly repressing genes involved in central and secondary metabolism, redox balancing, and the consumption of diverse non-preferred carbon sources. Many of the genes repressed by Spot 42 are transcriptionally activated by the global regulator CRP. Since CRP represses Spot 42, these regulators participate in a specific regulatory circuit called a multi-output feedforward loop. We found that this loop can reduce leaky expression of target genes in the presence of glucose and can maintain repression of target genes under changing nutrient conditions. Our results suggest that base pairing RNAs in feedforward loops can help shape the steady-state levels and dynamics of gene expression.

Publication Title

The base-pairing RNA spot 42 participates in a multioutput feedforward loop to help enact catabolite repression in Escherichia coli.

Sample Metadata Fields

Specimen part

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accession-icon SRP070822
Single cell transcriptomic profiling of mouse pancreatic progenitors
  • organism-icon Mus musculus
  • sample-icon 162 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We report the transcriptome of single pancreatic cells at embryonic day e13.5 Overall design: Single cells mRNA of wild-type mouse pancreata at embryonic day 13.5

Publication Title

Single cell transcriptomic profiling of mouse pancreatic progenitors.

Sample Metadata Fields

Specimen part, Cell line, Subject

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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