De Riso, Giulia (2023) MC profiling: a novel approach to dissect DNA methylation heterogeneity in bulk bisulfite sequencing experiments. [Tesi di dottorato]

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Tipologia del documento: Tesi di dottorato
Lingua: English
Titolo: MC profiling: a novel approach to dissect DNA methylation heterogeneity in bulk bisulfite sequencing experiments
Autori:
Autore
Email
De Riso, Giulia
giulia.deriso@unina.it
Data: 4 Marzo 2023
Numero di pagine: 70
Istituzione: Università degli Studi di Napoli Federico II
Dipartimento: Medicina Molecolare e Biotecnologie Mediche
Dottorato: Medicina molecolare e biotecnologie mediche
Ciclo di dottorato: 35
Coordinatore del Corso di dottorato:
nome
email
Santoro, Massimo
masantor@unina.it
Tutor:
nome
email
Cocozza, Sergio
[non definito]
Data: 4 Marzo 2023
Numero di pagine: 70
Parole chiave: DNA methylation;cellular heterogeneity;epigenetics
Settori scientifico-disciplinari del MIUR: Area 06 - Scienze mediche > MED/03 - Genetica medica
Depositato il: 21 Mar 2023 10:28
Ultima modifica: 10 Apr 2025 14:17
URI: http://www.fedoa.unina.it/id/eprint/15208

Abstract

DNA methylation is an epigenetic mark implicated in crucial biological processes. Most of the knowledge about DNA methylation is based on bulk experiments, in which DNA methylation of genomic regions is reported as average methylation. However, average methylation does not inform on how methylated cytosines are distributed in each single DNA molecule. Here, we propose Methylation Class (MC) profiling as a genome-wide approach to the study of DNA methylation heterogeneity from bulk bisulfite sequencing experiments. The proposed approach is built on the concept of MCs, groups of DNA molecules sharing the same number of methylated cytosines. The relative abundances of MCs from sequencing reads incorporates the information on the average methylation, and directly informs on the methylation level of each molecule. By applying our approach to publicly available bisulfite-sequencing datasets, we individuated signatures of loci undergoing imprinting and X-inactivation, and highlighted differences between the two processes. When applying MC profiling to compare different conditions, we identified methylation changes occurring in regions with almost constant average methylation. Altogether, our results indicate that MC profiling can provide useful insights on the epigenetic status and its evolution at multiple genomic regions.

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