Publications by authors named "Elena V Antontseva"

Adverse factors such as stress or inflammation in the neonatal period can affect the development of certain brain structures and have negative delayed effects throughout the lifespan of an individual, by reducing cognitive abilities and increasing the risk of psychopathologies. One possible reason for these delayed effects is the neuroinflammation caused by neonatal immune activation (NIA). Neuroinflammation can lead to disturbances of neurotransmission and to reprogramming of astroglial and microglial brain cells; when combined, the two problems can cause changes in the cytoarchitecture of individual regions of the brain.

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The vast majority of the genetic variants (mainly SNPs) associated with various human traits and diseases map to a noncoding part of the genome and are enriched in its regulatory compartment, suggesting that many causal variants may affect gene expression. The leading mechanism of action of these SNPs consists in the alterations in the transcription factor binding via creation or disruption of transcription factor binding sites (TFBSs) or some change in the affinity of these regulatory proteins to their cognate sites. In this review, we first focus on the history of the discovery of regulatory SNPs (rSNPs) and systematized description of the existing methodical approaches to their study.

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Background: Germline mutations in the coding sequence of the tumour suppressor APC gene give rise to familial adenomatous polyposis (which leads to colorectal cancer) and are associated with many other oncopathologies. The loss of APC function because of deletion of putative promoter 1A or 1B also results in the development of colorectal cancer. Since the regions of promoters 1A and 1B contain many single nucleotide polymorphisms (SNPs), the aim of this study was to perform functional analysis of some of these SNPs by means of an electrophoretic mobility shift assay (EMSA) and a luciferase reporter assay.

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There are two regulatory single nucleotide polymorphisms (rSNPs) at the beginning of the second intron of the mouse K-ras gene that are strongly associated with lung cancer susceptibility. We performed functional analysis of three SNPs (rs12228277: T greater than A, rs12226937: G greater than A, and rs61761074: T greater than G) located in the same region of human KRAS. We found that rs12228277 and rs61761074 result in differential binding patterns of lung nuclear proteins to oligonucleotide probes corresponding two alternative alleles; in both cases, the transcription factor NF-Y is involved.

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Article Synopsis
  • A significant number of single nucleotide polymorphisms (SNPs) identified in genome-wide association studies are non-coding, highlighting the need to effectively identify regulatory SNPs (rSNPs), which is difficult due to poor annotation of regulatory regions in the human genome.
  • The study introduces an approach that uses ENCODE ChIP-seq data to identify rSNPs by looking for SNPs in regions enriched with transcription factor binding sites, under the assumption that these regions play a regulatory role in gene expression.
  • Experimental validation involved analyzing 40 selected SNPs, showing that 29 SNPs significantly affected DNA binding patterns with nuclear proteins, indicating that the method effectively identifies potential rSNPs through
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