skip to main content
Guest
My Research
My Account
Sign out
Sign in
This feature requires javascript
Library Search
Find Databases
Browse Search
E-Journals A-Z
E-Books A-Z
Citation Linker
Help
Language:
English
Vietnamese
This feature required javascript
This feature requires javascript
Primo Search
All Library Resources
All
Course Materials
Course Materials
Search For:
Clear Search Box
Search in:
All Library Resources
Or hit Enter to replace search target
Or select another collection:
Search in:
All Library Resources
Search in:
Print Resources
Search in:
Digital Resources
Search in:
Online E-Resources
Advanced Search
Browse Search
This feature requires javascript
Search Limited to:
Search Limited to:
Resource type
criteria input
All items
Books
Articles
Images
Audio Visual
Maps
Graduate theses
Show Results with:
criteria input
that contain my query words
with my exact phrase
starts with
Show Results with:
Search type Index
criteria input
anywhere in the record
in the title
as author/creator
in subject
Full Text
ISBN
ISSN
TOC
Keyword
Field
Show Results with:
in the title
Show Results with:
anywhere in the record
in the title
as author/creator
in subject
Full Text
ISBN
ISSN
TOC
Keyword
Field
This feature requires javascript
Differentiation Between Peripheral Blood and Menstrual Blood using miRNA markers
The Author(s)
Digital Resources/Online E-Resources
Citations
Cited by
View Online
Details
Recommendations
Reviews
Times Cited
External Links
This feature requires javascript
Actions
Add to My Research
Remove from My Research
E-mail
Print
Permalink
Citation
EasyBib
EndNote
RefWorks
Delicious
Export RIS
Export BibTeX
This feature requires javascript
Title:
Differentiation Between Peripheral Blood and Menstrual Blood using miRNA markers
Author:
Valentine, Anaya
Subjects:
Forensic
Science
and
Technology
Description:
Abstract In forensic investigations, body fluids can provide crucial information and is helpful for corroborating the circumstance of the case. For cases of sexual assaults or homicides, being able to differentiate if the blood is peripheral blood or menstrual blood is important. Peripheral blood can be indicative of a traumatic event, while menstrual blood is of a natural cause. Currently, serology based methods are used for body fluid identification, however, their lack of sensitivity and specificity remains an issue. MicroRNAs (miRNAs) are a class of non-protein coding nucleic acids that are able to be co-extracted with DNA, and their small size (18-25 nucleotides) makes them ideal for analyzing highly degraded forensic samples. This study used RT-qPCR to evaluate the relative expression of candidate miRNAs miR-141 and miR-412, for their ability to distinguish between menstrual and peripheral blood and to further enhance a previously validated miRNA panel consisting of miR-200b, miR-891a, miR-10b, and miR-320. A population size of 50 samples of peripheral blood, menstrual blood, feces, semen, urine, saliva, and vaginal fluid were tested. A quadratic discriminant analysis matrix was used to facilitate the classification of unknown body fluids using miRNA expression data. Our results established that using miR-141 and miR-412 in conjunction with the previously validated panel allow for a prediction accuracy of 91.36%, an increase of 3.36% over prediction accuracy without miRs 141 and 412. Overall, the relative expression of miRNAs in body fluids is promising as a method of body fluid identification with potential to be developed into a multiplex that could be easily integrated into forensic crime laboratories. Keywords: forensic science, forensic serology, body fluid identification, microRNA, menstrual blood, reverse transcription-quantitative polymerase chain reaction
Publisher:
VCU Scholars Compass
Creation Date:
2021
Language:
English
Source:
VCU Scholars Compass
This feature requires javascript
This feature requires javascript
Back to results list
This feature requires javascript
This feature requires javascript
Searching Remote Databases, Please Wait
Searching for
in
scope:(TDTS),scope:(SFX),scope:(TDT),scope:(SEN),primo_central_multiple_fe
Show me what you have so far
This feature requires javascript
This feature requires javascript