TY - BOOK AU - Hanaa Mohamed Mohamed Elzahed AU - Amany Fahmy Hanon , AU - Dina SabryAbdelfatah , AU - Osama Mohamed Ebrahim Albarany , TI - Molecular identification of blood stains on different surfaces and fabrics using specific multiplex mRNA / PY - 2014/// CY - Cairo : PB - Hanaa Mohamed Mohamed Elzahed , KW - Blood stains KW - Body fluid identification KW - globin genes N1 - Thesis (Ph.D.) - Cairo University - Faculty of Medicine - Department of Forensic Medicine and Clinical Toxicology; Issued also as CD N2 - In current forensic practice, blood stain identification is determined using enzymatic, immunologic and chemical testing. Recently, mRNA-profiling has emerged as an alternative strategy to identify the blood stains. mRNA profile clearly reveals tissue-specific gene expression patterns. HBB and HBA (the alpha and beta subunits of hemoglobin A) are specific mRNA blood biomarkers. This study aimed at identification of blood stains on different tested surfaces and fabrics for forensic application by molecular assessment of specific mRNA blood biomarkers. For this study, 100 blood samples were collected from healthy volunteers and they were classified into: (1) 9 groups, each group included 10 samples that were applied on 9 different fabrics and surfaces; cotton, wool, silk, synthetic nylon, wood, glass, ceramic, iron as a metal and leather. (2) One blood group included 10 samples that were applied on glass and exposed to humidity and high temperature to test their effect on mRNA. Ten saliva samples were collected from healthy volunteers and were applied on glass as a negative control body fluid. All samples were left to dry for 1 day. The next steps of the study were RNA extraction from blood and saliva dried stains, reverse transcription, performing gene expression analysis of the blood specific markers using RT-PCR then detection of the amplified gene using agarose gel electrophoresis. The results demonstrated that HBB and HBA can be recovered from blood stains in sufficient quantity and quality for mRNA analysis ER -