INPPL1 Knockout Cell Lysate

DNA methylation plays a crucial role in the pathogenesis of various diseases, including colorectal cancer (CRC). However, the global and temporal DNA methylation pattern during initiation and progression of colitis-associated cancer (CAC) are still unknown, including the potential therapeutic strategy of targeting methylation for CAC. In the present study, the global DNA methylation pattern was determined at different time points during CAC using DNA methylation sequencing, followed by the Starburst plot integrating alterations and potential functional prediction analysis. After demonstrating the regulatory role of DNA methyltransferases (DNMTs) on the expression of hub-genes in CRC cells, DNMT inhibitors were administered to treat CAC mice. Our results indicated that 811 genes were hypermethylated at different time points during initiation and progression of CAC. Genes that were downregulated and hypermethylated during CAC, including hub-genes BAD and inositol polyphosphate phosphatase-like 1 (INPPL1), were involved in MAPK signaling pathways, kit receptor signaling pathways, apoptosis and EGF/EGFR signaling pathways. Upregulated DNMTs (DNMT1, DNMT3A and DNMT3B) mediated downregulation and hypermethylation of BAD and INPPL1 in CAC and CRC cells. Low doses of DNMT inhibitors (decitabine (DAC) and azacitidine (AZA)) exerted efficient antitumor effects in CAC, accompanied with upregulation of BAD and INPPL1 expression, and apoptosis induction. In summary, the present study demonstrates the temporal DNA methylation pattern during CAC and provides a novel therapeutic strategy for treating this disease.

Insulin resistance has a central role in the pathogenesis of several metabolic diseases, including type 2 diabetes, obesity, glucose intolerance, metabolic syndrome, atherosclerosis, and cardiovascular diseases. Insulin resistance and related traits are likely to be caused by abnormalities in the genes encoding for proteins involved in the composite network of insulin-signaling; in this review we have focused our attention on genetic variants of insulin-signaling inhibitor molecules. These proteins interfere with different steps in insulin-signaling: ENPP1/PC-1 and the phosphatases PTP1B and PTPRF/LAR inhibit the insulin receptor activation; INPPL1/SHIP-2 hydrolyzes PI3-kinase products, hampering the phosphoinositide-mediated downstream signaling; and TRIB3 binds the serine-threonine kinase Akt, reducing its phosphorylation levels. While several variants have been described over the years for all these genes, solid evidence of an association with type 2 diabetes and related diseases seems to exist only for rs1044498 of the ENPP1 gene and for rs2295490 of the TRIB3 gene. However, overall the data recapitulated in this Review article may supply useful elements to interpret the results of novel, more technically advanced genetic studies; indeed it is becoming increasingly evident that genetic information on metabolic diseases should be interpreted taking into account the complex biological pathways underlying their pathogenesis.