DNA Content of Various Fluids and Tissues of the Human Body.
Jędrzej SiutaAgnieszka DoboszJerzy KaweckiTadeusz DoboszPublished in: Genes (2023)
Due to the scarcity of literature data on the DNA content of different human tissues, this study aimed to isolate DNA from different tissues and fluids of the human body together with the determination of its content in the samples studied. Material was collected and tests were performed between 1990 and 2010, during autopsies performed for prosecutor's offices in the Department of Forensic Medicine. Goiter and thyroid cancer tissues were obtained from the Department of General Surgery, Gastroenterology and Endocrinology of Wroclaw Medical University. Isolated samples were measured spectrophotometrically, yielding an R 260/280 nm between 1.5 and 1.6. In some cases (when a sufficiently pure preparation could not be obtained), isolation was continued using the silica-based commercial QIAquick PCR Purification Kit (Qiagen). If the sampling tissues showed signs of decomposition such as bad odour or colour, the results were calibrated by Real-Time PCR, using the Quantifiler DNA assay (Thermo Fisher Scientific, Applied Biosystems). The results have shown that the maximum amount of genetic material was obtained from hair roots, adrenal glands, gonads and lymph nodes. The lowest DNA content per gram or milliliter of tissue or body fluid was found in adipose tissue, blood, saliva, bile, sweat, tears and the vitreous body of the eye. The presented findings indicate the best sources of high-quality DNA from the human body: gonads, kidneys, muscle (including heart), blood and bones (after decalcification).
Keyphrases
- circulating tumor
- endothelial cells
- cell free
- single molecule
- adipose tissue
- lymph node
- induced pluripotent stem cells
- pluripotent stem cells
- nucleic acid
- healthcare
- type diabetes
- machine learning
- skeletal muscle
- photodynamic therapy
- high fat diet
- neoadjuvant chemotherapy
- insulin resistance
- high throughput
- genome wide
- dna methylation
- big data
- metabolic syndrome
- data analysis
- sentinel lymph node
- deep learning
- tertiary care
- simultaneous determination