Distinct spectrum of microRNA expression in forensically relevant body fluids and probabilistic discriminant approach

Fujimoto, Shuntaro; Manabe, Sho; Morimoto, Chie; Ozeki, Munetaka; Hamano, Yuya; Hirai, Eriko; Kotani, Hirokazu; Tamaki, Keiji

doi:10.1038/s41598-019-50796-8

Cited by 37 publications

(19 citation statements)

References 53 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In the last decade, a lot of research has been carried out to identify body fluid origin using miRNAs profiling [ 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 ].…”

Section: Mirna and Body Fluid Identificationmentioning

confidence: 99%

“…As shown in Table 1 , miR-451a has been reported a strong candidate biomarker for blood identification [ 33 , 36 , 39 , 42 , 43 , 44 , 49 , 50 , 58 ] able to discriminate blood from non-blood samples; also miR-144-3p [ 35 , 41 , 44 , 58 ] and miR-16 [ 37 , 39 , 58 ] seems to be useful to separate venous blood from other body fluids.…”

Section: Mirna and Body Fluid Identificationmentioning

confidence: 99%

“…miR-214-3p [ 37 , 43 , 44 , 49 ] and miR-412 [ 39 , 50 , 52 ] are a suggested candidate marker for menstrual blood because their expression levels are higher in menstrual blood compared to other body fluid. miR-203a [ 36 , 39 , 41 , 58 ] and miR-205-5p [ 33 , 36 , 39 , 44 , 50 ] are suggested as a candidate marker for saliva.…”

Section: Mirna and Body Fluid Identificationmentioning

confidence: 99%

“…Different studies confirmed miR-891a [ 35 , 37 , 41 , 44 , 47 , 50 , 53 , 54 , 58 ], miR-10b [ 39 , 42 , 50 ] and miR-888 [ 37 , 38 , 44 , 49 , 53 , 54 , 58 ] as semen specific markers, especially miR-891a peculiar of the epididymis tissue [ 53 , 54 ]. miR-203a [ 40 , 41 , 42 ] was instead suggested for vaginal secretion identification.…”

Section: Mirna and Body Fluid Identificationmentioning

confidence: 99%

See 3 more Smart Citations

MicroRNAs: An Update of Applications in Forensic Science

et al. 2020

View full text Add to dashboard Cite

MicroRNAs (miRNAs) are a class of non-coding RNAs containing 18–24 nucleotides that are involved in the regulation of many biochemical mechanisms in the human body. The level of miRNAs in body fluids and tissues increases because of altered pathophysiological mechanisms, thus they are employed as biomarkers for various diseases and conditions. In recent years, miRNAs obtained a great interest in many fields of forensic medicine given their stability and specificity. Several specific miRNAs have been studied in body fluid identification, in wound vitality in time of death determination, in drowning, in the anti-doping field, and other forensic fields. However, the major problems are (1) lack of universal protocols for diagnostic expression testing and (2) low reproducibility of independent studies. This review is an update on the application of these molecular markers in forensic biology.

show abstract

Section: Mirna and Body Fluid Identificationmentioning

confidence: 99%

Section: Mirna and Body Fluid Identificationmentioning

confidence: 99%

Section: Mirna and Body Fluid Identificationmentioning

confidence: 99%

Section: Mirna and Body Fluid Identificationmentioning

confidence: 99%

See 2 more Smart Citations

MicroRNAs: An Update of Applications in Forensic Science

et al. 2020

View full text Add to dashboard Cite

show abstract

“…The normalization of RT-qPCR data is commonly achieved using a reference gene. The difference between the two C t values at a set threshold of fluorescence is the delta C t (dC t ) fluids, a probabilistic discriminant model was proposed by Fujimoto et al (2019). The final method used seven out of 15 candidate miRNA markers, and could distinguish between circulatory blood, saliva, semen, and vaginal secretion with >90% posterior probability.…”

Section: Rt-qpcr For Body Fluid Identificationmentioning

confidence: 99%

RNA‐based approaches for body fluid identification in forensic science

Lynch

Fleming

2020

WIREs Forensic Science

View full text Add to dashboard Cite

In forensic science, the identification of body fluids present in a stain can aid in the reconstruction of crime scenes and support activity-level information in some cases. RNA-based methods for body fluid identification address some limitations associated with conventional testing, including a lack of specificity and sample destruction. mRNA profiling by endpoint reverse transcription polymerase chain reaction (RT-PCR) is a confirmatory RNA method currently used by some forensic laboratories in casework due to the availability of capillary electrophoresis instruments. This method is highly specific and reliable when the RNA input is within the optimal range. When RNA input is below the limit of detection or too high, then false negatives and false positives/cross reactivity can occur, respectively. Real-time quantitative PCR (qPCR) is quantitative, more sensitive, and efficient than endpoint PCR, and does not require post-PCR processing. A reverse transcription (RT) step may also be included in qPCR (RT-qPCR), enabling mRNA quantification. However, there are concerns regarding the lack of consistency and standardization of RT-qPCR methodology and reporting of results. Additionally, the number of currently available fluorophores somewhat reduces multiplexing ability. More recently, approaches involving Piwi-interacting biomarkers, NanoString barcodes, and RNA sequencing have been developed. This review will cover the current and developing RNA-based techniques for forensic body fluid identification, focusing on endpoint and quantitative RT-PCR using mRNA. The advantages and limitations of these along with alternative methods will be discussed, and how they may be further developed to advance forensic body fluid identification.

show abstract

Differentiation of five forensically relevant body fluids using a small set of microRNA markers

Altmeyer,

Baumer,

Hall

2024

Electrophoresis

View full text Add to dashboard Cite

In forensic investigations, identifying the type of body fluid allows for the interpretation of biological evidence at the activity level. Over the past two decades, significant research efforts have focused on developing molecular methods for this purpose. MicroRNAs (miRNAs) hold great promise due to their tissue‐specific expression, abundance, lack of splice variants, and relative stability. Although initial findings are promising, achieving consistent results across studies is still challenging, underscoring the necessity for both original and replication studies. To address this, we selected 18 miRNA candidates and tested them on 6 body fluids commonly encountered in forensic cases: peripheral blood, menstrual blood, saliva, semen, vaginal secretion, and skin. Using reverse transcription quantitative PCR analysis, we confirmed eight miRNA candidates (miR‐144‐3p, miR‐451a, miR‐205‐5p, miR‐214‐3p, miR‐888‐5p, miR‐891a‐5p, miR‐193b‐3p, miR‐1260b) with high tissue specificity and four (miR‐203a‐3p, miR‐141‐3p, miR‐200b‐3p, miR‐4286) with lesser discrimination ability but still contributing to body fluid differentiation. Through principal component analysis and hierarchical clustering, the set of 12 miRNAs successfully distinguished all body fluids, including the challenging discrimination of blood from menstrual blood and saliva from vaginal secretion. In conclusion, our results provide additional data supporting the use of a small set of miRNAs for predicting common body fluids in forensic contexts. Large population data need to be gathered to develop a body fluid prediction model and assess its accuracy.

show abstract

Distinct spectrum of microRNA expression in forensically relevant body fluids and probabilistic discriminant approach

Cited by 37 publications

References 53 publications

MicroRNAs: An Update of Applications in Forensic Science

MicroRNAs: An Update of Applications in Forensic Science

RNA‐based approaches for body fluid identification in forensic science

Differentiation of five forensically relevant body fluids using a small set of microRNA markers

Contact Info

Product

Resources

About