RESUMEN
OBJECTIVE: The aim of this study was to investigate whether lnc00908 could affect the proliferative and migratory behaviors of ovarian cancer (OC) cells by regulating microRNA-495-5p, thus participating in the development of OC. PATIENTS AND METHODS: Quantitative Real Time-Polymerase Chain Reaction (QRT-PCR) was used to detect the expression levels of lnc00908 and microRNA-495-5p in OC tissues and normal ovarian tissues, as well as OC cell lines. The regulatory effects of lnc00908 and microRNA-495-5p on the proliferative and migration abilities of OC cells were detected by cell counting kit-8 (CCK-8) and transwell assay, respectively. The binding relationship between microRNA-495-5p and ANXA3, as well as miR-495-5p and lnc00908, was examined by luciferase reporter gene assay. Gain-of-function experiments were conducted to verify whether lnc00908 could affect the proliferative and migratory behaviors of OC cells by regulating microRNA-495-5p. RESULTS: Lnc00908 was highly expressed in OC tissues, and its expression was positively correlated with tumor stage. Overexpression of lnc00908 markedly promoted the proliferative and migratory abilities of SKOV3 and OVCAR cells. Luciferase reporter gene assay showed that lnc00908 could bind to microRNA-495-5p. However, microRNA-495-5p was significantly downregulated in OC tissues. Overexpression of microRNA-495-5p reversed the enhanced abilities of proliferation and migration in SKOV3 and OVCAR3 cells by lnc00908 overexpression. ANXA3 was a target gene of microRNA-495-5p. Moreover, overexpression of ANXA3 attenuated the inhibitory effect of miR-495-5p on the proliferative and migratory behaviors of SKOV3 and OVCAR3 cells. CONCLUSIONS: We found that the high expression of lnc00908 can promote the proliferation and migration abilities of OC cells through sponging microRNA-495-5p to regulate ANXA3 expression.
Asunto(s)
MicroARNs/metabolismo , Neoplasias Ováricas/patología , ARN Largo no Codificante/metabolismo , Regiones no Traducidas 3' , Anexina A3/química , Anexina A3/genética , Anexina A3/metabolismo , Área Bajo la Curva , Secuencia de Bases , Línea Celular Tumoral , Movimiento Celular , Proliferación Celular , Femenino , Regulación Neoplásica de la Expresión Génica , Humanos , MicroARNs/química , MicroARNs/genética , Estadificación de Neoplasias , Neoplasias Ováricas/genética , Neoplasias Ováricas/mortalidad , Ovario/metabolismo , Ovario/patología , ARN Largo no Codificante/genética , Curva ROC , Alineación de Secuencia , Tasa de SupervivenciaRESUMEN
Based on the Grossberg mathematical model called the outstar, a modular neural net with on-chip learning and memory is designed and analyzed. The outstar is the minimal anatomy that can interpret the classical conditioning or associative memory. It can also be served as a general-purpose pattern learning device. To realize the outstar, CMOS (complimentary metal-oxide semiconductor) current-mode analog dividers are developed to implement the special memory called the ratio-type memory. Furthermore, a CMOS current-mode analog multiplier is used to implement the correlation. The implemented CMOS outstar can on-chip store the relative ratio values of the trained weights for a long time. It can also be modularized to construct general neural nets. HSPICE (a circuit simulator of Meta Software, Inc.) simulation results of the CMOS outstar circuits as associative memory and pattern learner have successfully verified their functions. The measured results of the fabricated CMOS outstar circuits have also successfully confirmed the ratio memory and on-chip learning capability of the circuits. Furthermore, it has been shown that the storage time of the ratio memory can be as long as five minutes without refreshment. Also the outstar can enhance the contrast of the stored pattern within a long period. This makes the outstar circuits quite feasible in many applications.