RNAi silencing MTA1 gene inhibits invasion and migration of esophageal carcinoma cell EC9706

Objective: To observe the effect of MTA1 gene silencing by RNA interference on invasion and migration of esophageal carcinoma 9706 cells. Methods: siRNA expression vector targeting MTA1 gene was transfected into EC9706 cells by Lipofectamine method. MTA1 mRNA and protein expressions were detected through quantitative RT-PCR and Western Blot, respectively. The invasion and migration of EC9706 cells were evaluated by scrape wound healing assay and cell invasion assay in vitro. Results: MTA1 gene expression decreased significantly. The scrape wound of EC9706 cells healed more slowly and the cell population that cut through Matrigel were less in the EC9706 cells transfected with siRNA expression vector than non-transfected EC9706 cells and EC9706 cells transfected with blank vector (P < 0.05). Conclusion: MTA1 gene silencing by RNAi can inhibit the invasion and migration of esophageal carcinoma effectively. It is supposed that MTA1 gene may be a prospective molecule target in tumor therapy.

Construction of CEA siRNA expression vector and its inhibitory effects on the expression of CEA in EC9706 cells

Objective: To construct the small interfering RNA (siRNA) expression vector of carcino-embryonic antigen (CEA) and inhibit the expression of CEA in EC9706 cells by RNA interference. Methods: Two pairs of oligonucleotide sequences were designed and synthesized according to the encoding sequence of mRNA of CEA. The annealed oligonucleotide frag-ments were cloned into pRNAT-U6.2 expression vector and identified by sequencing. The recombinant plasmid pRNAT-U6.2-CEA was transfected into EC9706 cells. The expression of CEA in the stable transfected cells was assayed by real time PCR and Western blot. Results: DNA sequencing showed that the oligonucleotide fragments were correctly inserted into pRNAT-U6.2 vector, and CEA expression in the transfected cells was down-regulated significantly by pRNAT-U6.2-CEA at both the mRNA and protein levels. Conclusion: The siRNA expression vector of CEA is successfully constructed and inhibits CEA expression in EC9706 cells. This facilitates further studies of the function of CEA at the molecular level.

A general quantum minimum searching algorithm with high success rate and its implementation

Finding a minimum is a fundamental calculation in many quantum algorithms.However,challenges are faced in demonstrating it effectively in real quantum computers.In practice,the number of solutions is unknown,and there is no universal encoding method.Besides that,current quantum computers have limited resources.To alleviate these problems,this paper proposes a general quantum minimum searching algorithm.An adaptive estimation method is adopted to calculate the number of solutions,and a quantum encoding circuit for arbitrary databases is presented for the first time,which improves the universality of the algorithm and helps it achieve a nearly 100%success rate in a series of random databases.Moreover,gate complexity is reduced by our simplified Oracle,and the realizability of the algorithm is verified on a superconducting quantum computer.Our algorithm can serve as a subroutine for various quantum algorithms to promote their implementation in the Noisy IntermediateScale Quantum era.