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accession-icon GSE33612
Expression data from human primary fibroblasts (IMR90) stably expressing H-RasV12 and treated with Metformin or vehicle
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Metformin reduces the incidence of cancer in diabetics or in animal models. At the cellular level, the effects of metformin include the inhibition of complex I of the mitochondrial electron transport chain, a reduction in ATP levels and the activation of the energy sensor AMP kinase. Metformin also prevents the production of reactive oxygen species in primary human cells expressing oncogenic ras and the DNA damage associated to the process.

Publication Title

Metformin inhibits the senescence-associated secretory phenotype by interfering with IKK/NF-κB activation.

Alternate Accession IDs

E-GEOD-33612

Sample Metadata Fields

Sex, Specimen part, Treatment

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accession-icon SRP154834
RNA-seq profile of expanded human ST2-transduced Tregs cultured with IL-2 and TCR in the presence or absence of IL-33
  • organism-icon Homo sapiens
  • sample-icon 32 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Because of the extensive data in mice supporting the concept that ST2+ Tregs might have desirable therapeutic properties, including tissue repair function, high suppressive capacity, and enhanced stability, we engineered human blood Tregs to constitutively express ST2 (IL-33R). Here we used RNA sequencing to explore the effects of short-term culture with IL-33 on human ST2-transduced Tregs. Overall design: Human naive Tregs flow-sorted from 4 independent donors were lentivirally transduced with ST2, expanded for 13 days, then stimulated with IL-2 and TCR (16 h) or IL-2, TCR, and IL-33 (16 h).

Publication Title

Innate Control of Tissue-Reparative Human Regulatory T Cells.

Alternate Accession IDs

GSE117481

Sample Metadata Fields

Sex, Specimen part, Subject

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accession-icon GSE62166
Protracted p53-independent stimulation of p21WAF1/Cip1 fuels genomic instability by deregulating the replication licensing machinery
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

The cyclin-dependent kinase inhibitor p21WAF1/Cip1 is the prototype downstream effector of the tumor suppressor protein p53. Yet, evidence from human cancer and mice models, imply that p21WAF1/Cip1, under certain conditions, can exercise oncogenic activity. The mechanism behind this behavior is still obscure. Within this context we unexpectedly noticed, predominantly in p53 mutant human cancers, that a subset of highly atypical cancerous cells expressing strongly p21WAF1/Cip1 demonstrated also signs of proliferation. This finding suggests either tolerance to high p21WAF1/Cip1 levels or that p21WAF1/Cip1 per se guided a selective process that led to more aggressive off-springs. To address the latter scenario we employed p21WAF1/Cip1-inducible p53-null cellular models and monitored them over a prolonged time period, using high-throughput screening means. After an initial phase characterized by stalled growth, mainly due to senescence, a subpopulation of p21WAF1/Cip1 cells emerged, demonstrating increased genomic instability, aggressiveness and chemo-resistance. At the mechanistic level unremitted p21WAF1/Cip1 production saturates the CRL4CDT2 and SCFSkp2 ubiquitin ligase complexes reducing the turn-over of the replication licensing machinery. Deregulation of replication licensing triggered replication stress fuelling genomic instability. Conceptually, the above notion should be considered when anti-tumor strategies are designed, since p21WAF1/Cip1 responds also to p53-independent signals, including various chemotherapeutic compounds.

Publication Title

Chronic p53-independent p21 expression causes genomic instability by deregulating replication licensing.

Alternate Accession IDs

E-GEOD-62166

Sample Metadata Fields

Specimen part, Cell line

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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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