Algorithm for In situ DNA methylation profiles variability estimation
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2021-11-22 15:50
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577.218 (5)
Bazele materiale ale vieții. Biochimie. Biologie moleculară. Biofizică (664)
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POPESCU, Victor. Algorithm for In situ DNA methylation profiles variability estimation. In: International Congress of Geneticists and Breeders from the Republic of Moldova, Ed. 11, 15-16 iunie 2021, Chişinău. Chișinău, Republica Moldova: Centrul Editorial-Poligrafic al Universităţii de Stat din Moldova, 2021, Ediția 11, p. 30. ISBN 978-9975-933-56-8. DOI: https://doi.org/10.53040/cga11.2021.013
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International Congress of Geneticists and Breeders from the Republic of Moldova
Ediția 11, 2021
Congresul "International Congress of Geneticists and Breeders from the Republic of Moldova"
11, Chişinău, Moldova, 15-16 iunie 2021

Algorithm for In situ DNA methylation profiles variability estimation

DOI:https://doi.org/10.53040/cga11.2021.013
CZU: 577.218

Pag. 30-30

Popescu Victor
 
”Nicolae Testemițanu” State University of Medicine and Pharmacy
 
 
Disponibil în IBN: 15 iunie 2021


Rezumat

Identification and studying of the scientific articles publicly available, concerned with the technological procedures of the in situ DNA methylation profiles variability estimation, and formulation of an algorithm to be used in the prediction of the DNA methylation determined normal or pathological metabolic processes at the cellular level in animals and human. For the literature search, there were used the internet facility, https://pubmed.ncbi.nlm.nih.gov, and the key-words Whole-Mount-MeFISH, plus BISmark, cellular heterogeneity, cellular differentiation and cellular reprogramming. At the next step, there were selected literature sources that refered to the possibilities of the in situ DNA methylation profiles variability estimation in heterogenous cellular samples which contained cells at various functional and differentiation degrees. Subsequently, a narrative synthesis of the two complementary technological procedures was done. Original articles were identified which stated innovative methods of visualization of the methylated DNA sequences in intact (in situ) animal or human cells. Also, there were made references to a serie of publications that supported the valability of entropy criteria for the precise estimation (specifically for each cellular differentiational subtype) of the DNA methylation profiles (methylomes) variability in heterogenous cellular populations (mixtures) and the success of BISmark molecular mapping implementation in the characterizing of DNA methylation profiles at various epigenetic and functional stages during in vitro cell cultures of differentiated human adipocites, human adipose-derived stem cells and human induced pluripotent stem cells. The Whole-Mount-MeFISH-BISmark narrative synthesis of the two complemenary technological procedures, is formulated as an innovative, multipurpose operational research instrument. It is formulated the Whole-Mount-MeFISH-BISmark algorithm for the in situ DNA methylation profiles variability estimation, to be used in the prediction of the DNA methylation determined normal or pathological metabolic processes at the cellular level in animals and human.