Publications by authors named "N I Nikitina"

The genetic basis of somatic cell identity in avian sex determination is still unknown. FET1, an endogenous retrovirus, has previously been demonstrated to be expressed during gonad development. Here, we report expression of FET1 related transcripts in non-gonadal tissue during chicken development.

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The Fibroblast growth factor (FGFs) family consists of at least 22 members that exert their function by binding and activating fibroblast growth factor receptors (FGFRs). The Fgf8/FgfD subfamily member, Fgf17, is located on human chromosome 8p21.3 and mouse chromosome 14 D2.

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Quantitative and volumetric assessment of filamentous actin fibers (F-actin) remains challenging due to their interconnected nature, leading researchers to utilize threshold based or qualitative measurement methods with poor reproducibility. Here we introduce a novel machine learning based methodology for accurate quantification and reconstruction of nuclei-associated F-actin. Utilizing a Convolutional Neural Network (CNN), we segment actin filaments and nuclei from 3D confocal microscopy images and then reconstruct each fiber by connecting intersecting contours on cross-sectional slices.

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Using anti-neurofilament H non-phosphorylated antibodies (SMI-32) as markers for the neuronal maturation level and Y channel responsible for motion processing, we investigated early postnatal development of the primary visual areas 17 and 18 in cats aged 0, 10, 14, and 34 days and in adults. Two analyzed parameters of SMI-32-immunolabeling were used: the total proportion of SMI-32-labeling and the density of labeled neurons. (i) The developmental time course of the total proportion of SMI-32-labeling shows the general increase in the accumulation of heavy-chain neurofilaments.

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Article Synopsis
  • Sarcoglycanopathies are a group of limb-girdle muscular dystrophies (LGMD R3-R6) caused by mutations in the SGCA, SGCB, SGCG, and SGCD genes, with low global prevalence.
  • A study analyzed clinical and genetic data from 49 Russian patients, revealing that 71.4% had SGCA gene variants, while SGCB and SGCG had variants in 12.2% each, and SGCD in 4.1%.
  • The most common mutations were c.229C>T and c.271G>A in SGCA, and the overall incidence of sarcoglycanopathies in Russia was estimated at 1 in 4,115
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