细胞遗传学法与荧光原位杂交技术在流产绒毛染色体分析中的应用

目的：通过比较传统的细胞遗传学法与荧光原位杂交技术（FISH）在流产绒毛组织染色体检测中的差异,探讨两种方法在流产绒毛组织染色体分析中的应用价值。方法：选取2010年8月28日~12月2日因自然流产到该院优生遗传门诊、妇科病房行清宫手术的94例患者为研究对象,采用13、16、18、21、22、X和Y染色体特异性DNA探针对94例早期流产绒毛标本进行FISH检测,同时进行细胞培养和染色体核型分析。结果：FISH检测成功率为100.0%（94/94）,传统细胞遗传学法检测成功率为91.5%（86/94）。传统细胞遗传学分析成功的86例中,74例结果与FISH结果相符,另外检出12例FISH探针所不能覆盖的染色体异常;培养失败的8例标本中,FISH检出5例异常。FISH异常检出率为48.9%,细胞遗传学法异常检出率为60.5%。结论：FISH与细胞遗传学法均具有其各自的优点和局限性,应根据流产绒毛标本实际情况选择合适的检测方法,确保检测的成功率和结果的准确率。

Genetic approach for Cell-by-Cell dynamic spectrum allocation in the heterogeneous scenario

In this paper,a genetic algorithm (GA) is investigated to deal with cell-by-cell dynamic spectrumallocation (DSA) in the heterogeneous scenario with temporal and spatial traffic demand changes,whichis also known as a difficult combinatorial optimization problem.A new two-dimensional chromosome encodingscheme is defined according to characteristics of the heterogeneous scenario,which prevents forminginvalid solutions during the genetic operation and enables much faster convergence.A novel randomcoloring gene generation function is presented which is the basic operation for initialization and mutationin the genetic algorithm.Simulative comparison demonstrates that the proposed GA-based cell-by-cellDSA outperforms the conventional contiguous DSA scheme both in terms of spectral efficiency gain andquality of service (QoS) satisfaction.