2022
DOI: 10.1016/j.fsigen.2022.102692
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Developmental validation of a microRNA panel using quadratic discriminant analysis for the classification of seven forensically relevant body fluids

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Cited by 11 publications
(13 citation statements)
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“…Accordingly, we attempted to investigate the performance of this combination system in mixed samples. As miRNAs distinguish body fluids by their relative expression differences, the ability of miRNAs to distinguish tissue types of the mixed body fluid samples is still in the rudimentary stage [17]. As might be expected, only mRNA markers were identified in the different mixtures of two or three kinds of body fluids, and mixtures were poorly predicted using miRNA markers (Table S7), which is consistent with previous reports [17].…”
Section: Resultssupporting
confidence: 90%
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“…Accordingly, we attempted to investigate the performance of this combination system in mixed samples. As miRNAs distinguish body fluids by their relative expression differences, the ability of miRNAs to distinguish tissue types of the mixed body fluid samples is still in the rudimentary stage [17]. As might be expected, only mRNA markers were identified in the different mixtures of two or three kinds of body fluids, and mixtures were poorly predicted using miRNA markers (Table S7), which is consistent with previous reports [17].…”
Section: Resultssupporting
confidence: 90%
“…HBB, a globulin of hemoglobin, plays a key role in red blood cells (erythrocytes are approximately 700 times richer than white blood cells) [8]. In general, it is sometimes difficult to distinguish body fluid types, especially SA, VA, and MB, only using the relative expressions of miRNAs, which are consistent with previous reports [17]. For example, miR205-5p is an epithelium-specific marker [29,30].…”
Section: Discussionsupporting
confidence: 78%
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“…Therefore, it is proposed in this study to expand the previously reported microbial 16S triplex to incorporate a miRNA reverse transcription‐qPCR (RT‐qPCR) duplex that can now differentiate between vaginal/menstrual secretions, feces, saliva, blood, and semen at the quantification step of the forensic DNA workflow [17]. Our previous work on body fluid classification using miRNAs had previously identified and validated miR‐891a and let‐7g as being useful as markers for distinguishing blood and semen, and as an internal control, respectively [46].…”
Section: Introductionmentioning
confidence: 99%