ABSTRACT
Objective Using circRNA detection technology to explore the feasibility of the application of circRNA molecules in the identification of body fluids. Methods Prepare three kinds of body fluid samples: semen, saliva and vaginal secretions. Total RNA was extracted from Qiagen RNeasy Micro kit and digested by RNase R to obtain circRNA. Reverse transcription PCR amplification and agarose gel electrophoresis analysis were performed to detect target products. Results CircRNA can be detected in all prepared samples. These results showed that the circRNA was widely present in common body fluids of forensic medicine, and had some application value. Conclusion The detection for circRNA can be compatible with the existing DNA detection technology, and its tissue specificity can be used as a new marker for identification of body fluid and has important research value.
ABSTRACT
The identiifcation of body lfuid and their tissue resource is an important part of forensic medicine research. Conventional methods have imperfections like high false positive rate and may destroy biomaterial, which should be replaced by a new conifrmatory test. Highly-differentiated cells express speciifc mRNA molecules that can be used for body lfuid identiifcation. These mRNA markers can identify body lfuids like peripheral blood, menstrual blood, semen, saliva, vaginal secretion, skin-contact stains. This method have favorable sensitivity, speciifcity and can be detected after years, made it a ideal way to identify current body lfuids in the future. This review focus on the application of mRNA in body lfuid identiifcation and tissue resource.
ABSTRACT
Objective To evaluate the probability of siblings identification in Identifiler system by using the software of automatic analysis.Methods Using the software of automatic analysis in siblings jdentification.STP genetic typing of 151 pairs of full siblings and 31224 pairs of unrelated individuals from manual simulation were analyzed in 15 STR loci of ldentifiler system.Results Kin probability(W_(FS))of 39.07% full siblings were more than 99.999% while W_(FS) of unrelated individual pairs were 0% .W_(FS) of 60.93% full siblings and 21.3% unrelated individual pairs were all at the range from 99.999% to 1% .W_(FS) of 78.7% unrelated individual pairs 0% full siblings individuals were less than 1% .Therefore,there were notability difference between full siblings and unrelated individual pairs.In addition,testing of 15 STR loci of Identifiler system,it suggested that the pair were siblings when the locus number of the entirely-same is not less than 5 or that of the entirely-different is not more than 1,and that the pair were unrelated individuals when the locus number of the entirely-different is not less than 6 or that of the entirely-8alne is not more than 1.Conclusion The software of automatic analysis and the Identifiler system call be used to siblings identification.