Poly Adenylate Binding Protein Interacting protein 1(PAIP1) plays a critical role in translation initiation and is associated with the several cancer types. However, its function and clinical significance have not yet...Poly Adenylate Binding Protein Interacting protein 1(PAIP1) plays a critical role in translation initiation and is associated with the several cancer types. However, its function and clinical significance have not yet been described in oral squamous cell carcinoma(OSCC) and its associated features like lymph node metastasis(LNM). Here, we used the data available from Gene Expression Omnibus(GEO), The Cancer Genome Atlas(TCGA), and Clinical Proteomic Tumor Analysis Consortium(CPTAC) to analyze PAIP1 expression in oral cancer. The publicly available data suggests that PAIP1 mRNA and protein levels were increased in OSCC. The high PAIP1 expression was more evident in samples with advanced stage, LNM, and worse pattern of invasion. Moreover, the in vitro experiments revealed that PAIP1 knockdown attenuated colony forming, the aggressiveness of OSCC cell lines, decreasing MMP9 activity and SRC phosphorylation. Importantly, we found a correlation between PAIP1 and pSRC through the analysis of the IHC scores and CPTAC data in patient samples. Our findings suggest that PAIP1 could be an independent prognostic factor in OSCC with LNM and a suitable therapeutic target to improve OSCC patient outcomes.展开更多
Conventional vision-based systems,such as cameras,have demonstrated their enormous versatility in sensing human activities and developing interactive environments.However,these systems have long been criticized for in...Conventional vision-based systems,such as cameras,have demonstrated their enormous versatility in sensing human activities and developing interactive environments.However,these systems have long been criticized for incurring privacy,power,and latency issues due to their underlying structure of pixel-wise analog signal acquisition,computation,and communication.In this research,we overcome these limitations by introducing in-sensor analog computation through the distribution of interconnected photodetectors in space,having a weighted responsivity,to create what we call a computational photodetector.Computational photodetectors can be used to extract mid-level vision features as a single continuous analog signal measured via a two-pin connection.We develop computational photodetectors using thin and flexible low-noise organic photodiode arrays coupled with a self-powered wireless system to demonstrate a set of designs that capture position,orientation,direction,speed,and identification information,in a range of applications from explicit interactions on everyday surfaces to implicit activity detection.展开更多
基金supported the research work through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT, and Future Planning [2020R1F1A1050880], [2021R1A2C1006470], and [2019R1A2C1085896]
文摘Poly Adenylate Binding Protein Interacting protein 1(PAIP1) plays a critical role in translation initiation and is associated with the several cancer types. However, its function and clinical significance have not yet been described in oral squamous cell carcinoma(OSCC) and its associated features like lymph node metastasis(LNM). Here, we used the data available from Gene Expression Omnibus(GEO), The Cancer Genome Atlas(TCGA), and Clinical Proteomic Tumor Analysis Consortium(CPTAC) to analyze PAIP1 expression in oral cancer. The publicly available data suggests that PAIP1 mRNA and protein levels were increased in OSCC. The high PAIP1 expression was more evident in samples with advanced stage, LNM, and worse pattern of invasion. Moreover, the in vitro experiments revealed that PAIP1 knockdown attenuated colony forming, the aggressiveness of OSCC cell lines, decreasing MMP9 activity and SRC phosphorylation. Importantly, we found a correlation between PAIP1 and pSRC through the analysis of the IHC scores and CPTAC data in patient samples. Our findings suggest that PAIP1 could be an independent prognostic factor in OSCC with LNM and a suitable therapeutic target to improve OSCC patient outcomes.
基金supported by the Georgia Tech CRNCH (Center for Research into Novel Computing Hierarchies) Ph.D.Fellowship.
文摘Conventional vision-based systems,such as cameras,have demonstrated their enormous versatility in sensing human activities and developing interactive environments.However,these systems have long been criticized for incurring privacy,power,and latency issues due to their underlying structure of pixel-wise analog signal acquisition,computation,and communication.In this research,we overcome these limitations by introducing in-sensor analog computation through the distribution of interconnected photodetectors in space,having a weighted responsivity,to create what we call a computational photodetector.Computational photodetectors can be used to extract mid-level vision features as a single continuous analog signal measured via a two-pin connection.We develop computational photodetectors using thin and flexible low-noise organic photodiode arrays coupled with a self-powered wireless system to demonstrate a set of designs that capture position,orientation,direction,speed,and identification information,in a range of applications from explicit interactions on everyday surfaces to implicit activity detection.
