RESUMO
Increasing evidences have proved that circular RNAs (circRNAs), identified as a specific kind of non-coding RNAs, play a potential critical role in tumorigenesis including prostate cancer. However, the function of circRNAs in human prostate cancer remain largely unknown. In this study, we demonstrated that the expression of circZMIZ1 was higher in plasma of human prostate cancer than the paired benign prostatic hyperplasia (BPH) patients' plasma. Moreover, in cultured prostate cancer cells, knockdown of circZMIZ1 inhibited cell proliferation and caused cell cycle arrest at G1. Mechanistically, we also showed that circZMIZ1 could increase the expression of androgen receptor (AR) and androgen receptor splice variant 7 (AR-V7), which may be partly contributed to the occurrence and development of prostate cancer. In conclusion, these results revealed that circZMIZ1 might serve as a novel biomarker and a treatment target for prostate cancer treatment.
Assuntos
Proliferação de Células , Neoplasias da Próstata/patologia , RNA Circular/sangue , Fatores de Transcrição/sangue , Biomarcadores/sangue , Regulação Neoplásica da Expressão Gênica , Humanos , Masculino , Hiperplasia Prostática , Neoplasias da Próstata/genética , RNA Circular/genética , Receptores Androgênicos , Fatores de Transcrição/genética , Células Tumorais CultivadasRESUMO
This article presents a projection system with a novel composite pattern for one-shot acquisition of 3D surface shape. The pattern is composed of color encoded stripes and cosinoidal intensity fringes, with parallel arrangement. The stripe edges offer absolute height phases with high accuracy, and the cosinoidal fringes provide abundant relative phases involved in the intensity distribution. Wavelet transform is utilized to obtain the relative phase distribution of the fringe pattern, and the absolute height phases measured by triangulation are combined to calibrate the phase data in unwrapping, so as to eliminate the initial and noise errors and to reduce the accumulation and approximation errors. Numerical simulations are performed to prove the new unwrapping algorithms and actual experiments are carried out to show the validity of the proposed technique for accurate 3- D shape measurement.