Project description:To investigate the mRNA expression regulated by Setdb1, we established AML12 knockdown cell model by infecting Setdb1 siRNA for 72 hours
Project description:DUSP6 plays important roles in MAPK signaling pathway, but whether and how it is involved in liver funciton remains to be explored. Here, we performed RNA-seq analyses in AML12 cells where DUSP6 is disrupted. We overexpressed GFP-DUSP6 or GFP in AML12 cells, and tested the effects of DUSP6 increase on gene expression in AML12 cells. Meanwhile, we knocked down DUSP6 in AML12 cells and tested the effects of DUSP6 decrease on gene expression in AML12 cells. Taken together, we analyzed the changes of gene expression mediated by DUSP6, which provides new insights for the function of DUSP6 in liver
Project description:To obtain a more complete picture of gene expression changes induced by deletion of VWA8 null cells, Affymetrix microarray analysis of gene expression was carried out using RNA isolated from wildtype and VWA8-null AML12 cells.
Project description:Transcriptional profiling of murine hepatocyte gene expression following exposure to prolactin or actinomycin D Prolactin or actinomycin D-treated versus serum-free control cells: AML12 and Hepa 1-6. Biological replicates: 2 per cell line per treatment protocol.
Project description:SETDB1, a pivotal histone lysine methyltransferase, has been identified as being transported to the cytoplasm through a CMR1-dependent pathway, contributing to non-histone methylation. However, the function and underlying mechanism of cytoplasmic SETDB1 in breast cancer remain elusive. This study, employing immunohistochemistry, revealed that an elevated level of cytoplasmic SETDB1 is correlated with lymph node metastasis and more aggressive breast cancer subtypes. Functionally, cytoplasmic SETDB1 proves indispensable for cell migration and invasion, as well as the induction of epithelial-mesenchymal transition (EMT), which could be reversed by LMB (a CMR1 inhibitor) treatment. Furthermore, it was observed that cytoplasmic SETDB1 elevates the levels of metabolites associated with the Warburg effect, including glucose, pyruvate, lactate, and ATP. Mechanistically, the release of nuclear SETDB1 alleviates the inhibition of c-MYC transcription, leading to increased c-MYC expression and subsequent up-regulation of LDHA expression. Notably, LDHA overexpression enhanced migration and invasion by inducing EMT, while its depletion can reverse SETDB1-induced migration and invasion, as well as the Warburg effect and EMT. In conclusion, the subcellular localization of cytoplasmic SETDB1 emerges as a pivotal factor in breast cancer progression. This study offers valuable insights into the novel functions and mechanisms of cytoplasmic SETDB1.
Project description:The v-erbA oncogene belongs to a superfamily of transcription factors called nuclear receptors, which includes the retinoic acid receptors (RARs) responsible for mediating the effects of retinoic acid (RA). Nuclear receptors bind to specific DNA sequences in the promoter region of target genes and v-erbA is known to exert a dominant negative effect on the activity of the RARs. The repressor activity of v-erbA has been linked to the development of hepatocellular carcinoma (HCC) in a mouse model. We have used microarray analysis to identify genes differentially expressed in hepatocytes in culture (AML12 cells) stably transfected with v-erbA and exposed to RA. We have found that v-erbA can affect expression of RA-responsive genes. We have also identified a number of v-erbA-responsive genes that are known to be involved in carcinogenesis and which may play a role in the development of HCC. Experiment Overall Design: AML12 control cells and v-erbA-transfected AML12 cells were exposed to 1 µM RA for 3h or 24h. Using microarray analysis, we compared gene expression in the presence and absence of v-erbA and identified RA-regulated genes differentially expressed in the presence of v-erbA.
Project description:We investigated genome-wide DNA methylation during EMT in AML12 cells using comprehensive high throughput arrays for relative methylation (CHARM). We used custom Nimblegen microarrays. We isolated genomic DNA from cells at different timepoints post-TGF-β stimulation and hybridized to custom-designed Nimblegen microarrays (CHARM arrays). AML12 cells from 4 representative experiments were collected and used for the genome-wide DNA methylation analysis.