Anti-PIK3R1 monoclonal antibody, clone 7H21

Purpose: The aim of this study was to research biomarkers for ESCC diagnosis and chemosensitivity related differently expressed genes (DEGs). Methods: Gene microarray data of GSE45670 was obtained and DEGs were screened by Significant analysis of microarray method. series test of cluster (STC) was processed to research the expression trend features among three groups. Based on GO and KEGG database, go functions and KEGG pathways were enriched, gene signal network and gene co-expression network were constructed. Results: A total of 9061 DEGs were screened and mainly grouped in 16 profiles. Among of these profiles, there were 6 significant profiles. These screened DEGs were enriched in various functions, including mitotic cell cycle and transcription. Besides, these genes were also participate in different pathways, such as metabolic pathway and pathways in cancer. Pathway relationship network with 96 nodes and 336 edges were constructed. Thereinto, MAPK signaling pathway, apoptosis, pathways in cancer and cell cycle were hub nodes with degree of 43, 31, 28 and 23, respectively. Gene signal network was constructed with 992 nodes and 3015 edges. The hub nodes included PRKACB, PLCB4, MAPK8 and PIK3R1. PRKACB and MAPK8 were with indirect activation relationships, while PIK3R1 and PLCB4 were with metabolic relationships. Gene co-expression network was also constructed with 456 nodes and 1713 edges. Top 5 nodes were NEGR1, MITF, TNFSF12 and DAAM2. Conclusions: Screened genes including NEGR1, MITF, PRKACB and PLCB4 might be potential key genes for ESCC diagnosis. Importantly, PRKACB and PLCB4 were closely related with chemosensitivity.

Background: Endothelial progenitor cells (EPCs) play a fundamental role in not only blood vessel development but also post-natal vascular repair. Currently EPCs are defined as early and late EPCs based on their biological properties and their time of appearance during in vitro culture. Both EPC types assist angiogenesis and have been linked to ischemia-related disorders, including coronary artery disease (CAD). Results: We found late EPCs are more mobile than early EPCs and matured endothelial cells (ECs). To pinpoint the mechanism, microRNA profiles of early EPCs late EPCs, and ECs were deciphered by small RNA sequencing. Obtained signatures made up of both novel and known microRNAs, in which anti-angiogenic microRNAs such as miR-221 and miR-222 are more abundant in matured ECs than in late EPCs. Overexpression of miR-221 and miR-222 resulted in the reduction of genes involved in hypoxia response, metabolism, TGF-beta signalling, and cell motion. Not only hamper late EPC activities in vitro, both microRNAs (especially miR-222) also hindered in vivo vasculogenesis in a zebrafish model. Reporter assays showed that miR-222, but not miR-221, targets the angiogenic factor ETS1. In contrast, PIK3R1 is the target of miR-221, but not miR-222 in late EPCs. Clinically, both miR-221-PIK3R1 and miR-222-ETS1 pairs are deregulated in late EPCs of CAD patients. Conclusions: Our results illustrate EPCs and ECs exploit unique miRNA modalities to regulate angiogenic features, and explain why late EPC levels and activities are reduced in CAD patients. These data will further help to develop new plasma biomarkers and therapeutic approaches for ischemia-related diseases or tumor angiogenesis.