Loss-of-function genetic screening identifies ALDOA as an essential driver for hepatocellular carcinoma cell growth under hypoxia
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PROVIDER: PRJNA708271 | ENA |
REPOSITORIES: ENA
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Project description:Hypoxia is a common feature of tumor microenvironment (TME), which promotes tumor progression, metastasis and therapeutic drug resistance via a myriad of cell activities in tumor and stroma cells. While targeting hypoxic TME is emerging as a promising strategy for treating solid tumors, preclinical studies with this approach are lacking in hepatocellular carcinoma (HCC). From a genome-wide CRISPR/Cas9 gene knockout screening, we identified aldolase A (ALDOA), a key enzyme in glycolysis and gluconeogenesis, as a master driver for HCC cell growth under hypoxia. To delineate the functional implications of ALDOA in HCC, transcriptome sequencing is performed to interrogate the differential gene expression in ALDOA-knockdown HepG2 cells under hypoxia.
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Project description:Adaptation to hypoxia, a hallmark feature of many tumors, is an important driver of cancer cell survival, proliferation and the development of resistance to chemotherapy. Hypoxia-induced stabilization of hypoxia-inducible factors (HIFs) leads to transcriptional activation of a network of hypoxia target genes involved in angiogenesis, cell growth, glycolysis, DNA damage repair and apoptosis. Although the transcriptional targets of hypoxia have been characterized, the alternative splicing of transcripts that occurs during hypoxia and the roles they play in oncogenesis are much less understood. To identify and quantify hypoxia-induced alternative splicing events in human cancer cells, we performed whole transcriptome RNA-Seq in breast cancer cells that are known to provide robust transcriptional response to hypoxia. We found 2005 and 1684 alternative splicing events including intron retention, exon skipping and alternative first exon usage that were regulated by acute and chronic hypoxia where intron retention was the most dominant type of hypoxia-induced alternative splicing. Many of these genes are involved in cellular metabolism, transcriptional regulation, actin cytoskeleton organisation, cancer cell proliferation, migration and invasion, suggesting they may modulate or be involved in additional features of tumorigenic development that extend beyond the known functions of canonical full-length transcripts.
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Project description:Comparison between hypoxia (1%O2) and cobalt chloride (100 uM) and deferoxamine (100 uM) and Nickel Chloride (100 uM) in Hep3B cells (human hepatocellular carcinoma cells) Keywords = Hep3B Keywords = hypoxia Keywords = cobalt Keywords = deferoxamine Keywords = Nickel Keywords: ordered
2004-02-27 | GSE1056 | GEO
Project description:Background - Hepatocellular carcinomas (HCCs) are heterogeneous tumors with respect to etiology, cell of origin and biology. The course of the disease is unpredictable and is in part dependent on the tumor microenvironment. One of the microenvironmental factors is hypoxia, which is known to promote aggressiveness in other malignant tumors. We hypothesized that certain regions in HCC exist with chronic hypoxia and a characteristic gene expression pattern. Moreover, during the development of HCC there is an important contribution of this chronic hypoxia on prognosis via this gene expression. Until now, most research has been performed in acute hypoxic models (< 24 hours). Methods – Human hepatoblastoma cells HepG2 were cultured in either normoxic (20% O2) or hypoxic (2% O2) conditions for 72 hrs, the time it takes to adapt to chronic hypoxia. After 3 days the cells were harvested and analyzed by microarray technology. The highly significant differentially expressed genes were selected and used to assess the clinical value of our in vitro chronic hypoxia gene signature in four published patient studies. Three of these independent microarray studies on HCC patients were used as training sets to determine a minimal prognostic gene set and one study was used for validation. Gene expression analysis and correlation with clinical outcome was assessed with the bioinfomatic method of Goeman et al (). Results – In the HepG2 cells, 3592 genes were differentially expressed in cells cultured at 2% oxygen for 72 hrs. Out of these, 265 showed a high significant change (2-fold change and p=0.0001). The level of gene expression after 72 hrs was different from the acute hypoxic response (during the first 24 hours) and represented chronicity. Using computational methods we identified 7 out of the 265 highly significant genes that showed correlation with prognosis in all three different training sets and this was independently validated in a 4th dataset. With our approach we could include the largest number of HCC patients in one single study. Conclusion – We identified a 7-gene signature, which is associated with chronic hypoxia and predicts prognosis in patients with HCC. In the future this signature could be used as a diagnostic tool. In addition, chronic hypoxia gene expression information can be used in the search for new therapeutic targets. Two conditions were compared and each sample has a biological replicate. Samples are hybridized in dye-swap, resulting in 4 hybridizations.
2010-07-20 | E-GEOD-15366 | biostudies-arrayexpress
Project description:Background - Hepatocellular carcinomas (HCCs) are heterogeneous tumors with respect to etiology, cell of origin and biology. The course of the disease is unpredictable and is in part dependent on the tumor microenvironment. One of the microenvironmental factors is hypoxia, which is known to promote aggressiveness in other malignant tumors. We hypothesized that certain regions in HCC exist with chronic hypoxia and a characteristic gene expression pattern. Moreover, during the development of HCC there is an important contribution of this chronic hypoxia on prognosis via this gene expression. Until now, most research has been performed in acute hypoxic models (< 24 hours). Methods – Human hepatoblastoma cells HepG2 were cultured in either normoxic (20% O2) or hypoxic (2% O2) conditions for 72 hrs, the time it takes to adapt to chronic hypoxia. After 3 days the cells were harvested and analyzed by microarray technology. The highly significant differentially expressed genes were selected and used to assess the clinical value of our in vitro chronic hypoxia gene signature in four published patient studies. Three of these independent microarray studies on HCC patients were used as training sets to determine a minimal prognostic gene set and one study was used for validation. Gene expression analysis and correlation with clinical outcome was assessed with the bioinfomatic method of Goeman et al (). Results – In the HepG2 cells, 3592 genes were differentially expressed in cells cultured at 2% oxygen for 72 hrs. Out of these, 265 showed a high significant change (2-fold change and p=0.0001). The level of gene expression after 72 hrs was different from the acute hypoxic response (during the first 24 hours) and represented chronicity. Using computational methods we identified 7 out of the 265 highly significant genes that showed correlation with prognosis in all three different training sets and this was independently validated in a 4th dataset. With our approach we could include the largest number of HCC patients in one single study. Conclusion – We identified a 7-gene signature, which is associated with chronic hypoxia and predicts prognosis in patients with HCC. In the future this signature could be used as a diagnostic tool. In addition, chronic hypoxia gene expression information can be used in the search for new therapeutic targets.
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Project description:To find epigenetic factors potentially involved in Sorafenib resistance in hepatocellular carcinoma cells, an epigenetic factors-targeted CRISPR/Cas9 library was applied to perform the screening.
2023-01-01 | GSE215909 | GEO
Project description:Hypoxia is an important driver of cancer progression, and rapidly growing tumors often result in intratumoral hypoxic regions. Hypoxia is associated with metabolic reprogramming and angiogenesis, resulting in enhanced tumor progression. Here, we aimed to study breast cancer hypoxia responses at the proteomic level, and we wanted to identify differences in protein secretion from luminal-like and basal-like cell lines before and after hypoxia.
2023-06-23 | PXD027136 | Pride