Safety profiling of genetically engineered Pim-1 kinase overexpression for oncogenicity risk in human c-kit+ cardiac interstitial cells
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE124590 | GEO | 2019/01/04
REPOSITORIES: GEO
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Project description:Safety profiling of genetically engineered Pim-1 kinase overexpression for oncogenicity risk in human c-kit+ cardiac interstitial cells
| PRJNA512615 | ENA
Project description:PIM kinases have important pro-tumorigenic roles and mediate several oncogenic traits, including cell proliferation, survival, and chemotherapeutic resistance. As a result, multiple PIM inhibitors have been pursued as investigational new drugs in cancer; however, response to PIM inhibitors in solid tumors has fallen short of expectations. We found that inhibition of PIM kinase activity stabilizes protein levels of all three PIM isoforms (PIM1/2/3), and this can promote resistance to PIM inhibitors and chemotherapy. To overcome this effect, we designed PIM proteolysis targeting chimeras (PROTACs) to target PIM for degradation. PIM PROTACs effectively downmodulated PIM levels through the ubiquitin-proteasome pathway. Importantly, degradation of PIM kinases was more potent than inhibition of catalytic activity in inducing apoptosis in prostate cancer cell line models. In conclusion, we provide evidence of the advantages of degrading PIM kinases versus inhibiting their catalytic activity to target the oncogenic functions of PIM kinases.
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Project description:The aim of this study was to investigate the transciptional mechanisms regulated by three PIM kinases at singel cell level during early human Th17 cell differentiation. PIM kinases were transiently silenced using RNAi (KD) approach followed by single cell RNA-seq to determine the gene expression profile of PIM negative Th17 cells.
2023-11-23 | GSE231651 | GEO
Project description:The ERG gene belongs to the ETS family of transcription factors and has been found involved in atypical chromosomal rearrangements in several cancers. To gain insight into the oncogenic activity of ERG, we compared the gene expression profile of NIH-3T3 cells stably expressing the coding regions of the three main ERG oncogenic fusions: TMPRSS2/ERG (tERG), EWS/ERG and FUS/ERG,. We found that all the three ERG fusions significantly up-regulate PIM-1 expression in the NIH-3T3 cell line. PIM-1 is a serine/threonine kinase frequently over-expressed in cancers of haematological and epithelial origin. We show here that tERG expression induces PIM-1 in the non-malignant prostate cell line RWPE-1, strengthening the relation between tERG and PIM-1 up-regulation in the initial stages of prostate carcinogenesis. Silencing of tERG reversed PIM-1 induction. A significant association between ERG and PIM-1 expression in clinical prostate carcinoma specimens was found, suggesting that such a mechanism may be relevant in vivo. Chromatin Immunoprecipitation experiments showed that tERG directly binds to PIM-1 promoter in the RWPE-1 prostate cell line, suggesting that tERG could be a direct regulator of PIM-1 expression. The up-regulation of PIM-1 induced by tERG over-expression significantly modified CyclinB1 levels and increased the percentage of aneuploid cells in the RWPE-1 cell line after 24hrs of taxane-based treatment. Here we provide the first evidence for an ERG-mediated PIM-1 up-regulation in prostate cells in vitro and in vivo, suggesting a direct effect of ERG transcriptional activity in the alteration of genetic stability. NIH-3T3 cells stably expressing the coding regions of the three main ERG oncogenic fusions: TMPRSS2/ERG (tERG), EWS/ERG and FUS/ERG together with the empty vector where profiled in triplicate. Quality control using NUSE and RLE plots identified one array as problematic (R540_TMP-ERG_P1) which was removed.
2011-11-30 | E-GEOD-32481 | biostudies-arrayexpress
Project description:The aim of this study was to investigate the transciptional mechanisms regulated by three PIM kinases during early human Th17 cell differentiation. PIM kinases were transiently silenced using RNAi (KD) approach followed by RNA-seq to determine their global transciptional targets.
2023-11-23 | GSE231650 | GEO
Project description:Phosphatidyl-inositol mannosides (PIM) are unique mycobacterial glycolipids. However, the PIM-induced immunostimulatory activities remain controversial. Here we report on gene expression analysis of monocyte-derived dendritic cells stimulated with tri-acylated PIM2 (AcPIM2) or tetra-acylated PIM2 (Ac2PIM2). Results provide evidence for the adjuvant activity of PIM.
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Project description:Single-cell RNA-seq (10X Genomics Chromium) to profile cultured cardiac interstitial cells derived from neonatal and adult cardiac tissue
2020-12-31 | GSE164026 | GEO
Project description:The ERG gene belongs to the ETS family of transcription factors and has been found involved in atypical chromosomal rearrangements in several cancers. To gain insight into the oncogenic activity of ERG, we compared the gene expression profile of NIH-3T3 cells stably expressing the coding regions of the three main ERG oncogenic fusions: TMPRSS2/ERG (tERG), EWS/ERG and FUS/ERG,. We found that all the three ERG fusions significantly up-regulate PIM-1 expression in the NIH-3T3 cell line. PIM-1 is a serine/threonine kinase frequently over-expressed in cancers of haematological and epithelial origin. We show here that tERG expression induces PIM-1 in the non-malignant prostate cell line RWPE-1, strengthening the relation between tERG and PIM-1 up-regulation in the initial stages of prostate carcinogenesis. Silencing of tERG reversed PIM-1 induction. A significant association between ERG and PIM-1 expression in clinical prostate carcinoma specimens was found, suggesting that such a mechanism may be relevant in vivo. Chromatin Immunoprecipitation experiments showed that tERG directly binds to PIM-1 promoter in the RWPE-1 prostate cell line, suggesting that tERG could be a direct regulator of PIM-1 expression. The up-regulation of PIM-1 induced by tERG over-expression significantly modified CyclinB1 levels and increased the percentage of aneuploid cells in the RWPE-1 cell line after 24hrs of taxane-based treatment. Here we provide the first evidence for an ERG-mediated PIM-1 up-regulation in prostate cells in vitro and in vivo, suggesting a direct effect of ERG transcriptional activity in the alteration of genetic stability.
2011-11-30 | GSE32481 | GEO
Project description:Single-cell RNA-seq (10X Genomics Chromium) to profile Adult cardiac interstitial cells sorted based on the presence of cKit, DDR2 and CD45 on cell membrane surface .
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Project description:Myocardial interstitial fibrosis is a common thread in multiple cardiovascular diseases including heart failure, atrial fibrillation, conduction disease and sudden cardiac death. To investigate the biologic pathways that underlie interstitial fibrosis in the human heart, we developed a machine learning model to measure myocardial T1 time, a marker of myocardial interstitial fibrosis, in 41,505 UK Biobank participants. Greater T1 time was associated with diabetes mellitus, renal disease, aortic stenosis, cardiomyopathy, heart failure, atrial fibrillation, conduction disease and rheumatoid arthritis. Mendelian randomization analysis supported a potential causal role for diabetes mellitus type 1 in myocardial interstitial fibrosis. In genome-wide association analysis, we identified 11 independent loci associated with native myocardial T1 time. The identified loci implicated genes involved in glucose transport (SLC2A12), iron homeostasis (HFE, TMPRSS6), tissue repair (ADAMTSL1, VEGFC), oxidative stress (SOD2), cardiac hypertrophy (MYH7B) and calcium signaling (CAMK2D). Transcriptome-wide association studies highlighted the role of expression of ADAMTSL1 and SLC2A12 in human cardiac tissue in modulating myocardial interstitial fibrosis. Using a TGFβ1-mediated cardiac fibroblast activation assay, we found that 9 out of the 11 genome-wide significant loci comprised genes that exhibited temporal changes in expression and/or open chromatin conformation supporting the biological relevance of these loci to myocardial fibrosis and myofibroblast cell state acquisition. Harnessing machine learning to perform large-scale phenotyping of interstitial fibrosis in the human heart, our results yield novel insights into biologically relevant pathways to myocardial fibrosis and prioritize a number of pathways for further investigation.
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