Publications by authors named "a S Makarova"

Сytosine methylation in CpG dinucleotides is the most common epigenetic mark in human cells. Under active demethylation process 5-methylcytosine (mC) can be converted to 5-hydroxymethylcytosine (hmC). Cytosine methylation increases the risk of adjacent nucleotide damage, including the oxidation of guanine.

View Article and Find Full Text PDF

Objective: To describe a rare presentation of hemorrhagic transverse myelitis in the post-COVID-19 setting.

Background: Three days after testing positive for COVID-19, a 63-year-old male presented with acute-to-subacute onset of progressive numbness in the right buttocks radiating down his right hip/thigh and across his anterior pelvis, followed shortly thereafter by saddle anesthesia, urinary retention, and neurogenic bowel without motor deficits.

Design/methods: NA.

View Article and Find Full Text PDF

The human primase-polymerase PrimPol is a key participant of the mechanism of DNA synthesis restart during replication fork stalling at sites of DNA damage. PrimPol has DNA primase activity and synthesizes DNA primers that are used by processive DNA polymerases to continue replication. Recruitment of PrimPol to the sites of DNA damage, as well as stimulation of catalytic activity, depends on interaction with the replicative protein RPA, which binds single-stranded DNA.

View Article and Find Full Text PDF

Parkinson's disease (PD) and vascular parkinsonism (VP) are characterized by similar neurological syndromes but differ in pathogenesis, morphology, and therapeutic approaches. The molecular genetic mechanisms of these pathologies are multifactorial and involve multiple biological processes. To comprehensively analyze the pathophysiology of PD and VP, the methods of systems biology and gene network reconstruction are essential.

View Article and Find Full Text PDF

Introduction: Minimally invasive diagnostics based on liquid biopsy makes it possible early detection of lung cancer (LC). The blood plasma circulating cell-free DNA (cfDNA) fragments reflect the genome and chromatin status and are considered as integral cancer biomarkers and the biological entities for 'cancer-of-origin' prediction. The aim of this work is to create a method for processing next-generation sequencing (NGS) data and an interpretable binary classification model (CM), which analyzed cfDNA fragmentation features for distinguishing healthy subjects and subjects with LC.

View Article and Find Full Text PDF