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Improved resolution of mixed STR profiles using a fully automated differential cell lysis/DNA extraction method 被引量:1
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作者 matthew c.goldstein Jordan O.Cox +1 位作者 Lori B.Seman Tracey Dawson Cruz 《Forensic Sciences Research》 CSCD 2020年第2期106-112,共7页
Sexual assault evidence often contains sperm cells,which are typically separated from nonsperm cells using manual differential lysis procedures.The goal of this study was to evaluate the automated QIAGEN QIAcube for t... Sexual assault evidence often contains sperm cells,which are typically separated from nonsperm cells using manual differential lysis procedures.The goal of this study was to evaluate the automated QIAGEN QIAcube for this purpose and to compare it to manual QIAGEN and manual organic differential methods using DNA yields and STR profile data for assessment.DNA yields were determined by qPCR,followed by multiplex STR amplification,CE analysis,and mixture interpretation.The automated method was capable of effective cell separation,producing DNA yields sufficient for STR amplification.Further,sperm fraction human:male DNA ratios from the QIAcube samples were consistently closer to the desired 1:1 and STR profiles were less likely to result in mixtures,with 6–8fewer female alleles detected(median 1.5 alleles).Ultimately,using the QIAcube for automated differential processing of semen-containing mixtures reduces the need for downstream mixture interpretation and improves STR profile quality with substantially less hands-on time. 展开更多
关键词 Forensic sciences forensic genetics sexual assault evidence QIAcube differential lysis sperm lysis automated DNA extraction mixture analysis
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