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Ekaterina Myasnikova

Researcher at Saint Petersburg State Polytechnic University

Publications -  47
Citations -  1883

Ekaterina Myasnikova is an academic researcher from Saint Petersburg State Polytechnic University. The author has contributed to research in topics: Segmentation gene & Gap gene. The author has an hindex of 17, co-authored 42 publications receiving 1806 citations. Previous affiliations of Ekaterina Myasnikova include Institute of High Performance Computing Singapore.

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Dynamic control of positional information in the early Drosophila embryo

TL;DR: This analysis implies that the threshold-dependent interpretation of maternal morphogen concentration is not sufficient to determine shifting gap domain boundary positions, and suggests that establishing and interpreting positional information are not independent processes in the Drosophila blastoderm.
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Dynamical analysis of regulatory interactions in the gap gene system of Drosophila melanogaster.

TL;DR: A detailed analysis of regulatory interactions involved in gap gene regulation based on gap gene circuits, which are mathematical gene network models used to infer regulatory interactions from quantitative gene expression data, suggests a central role for repressive feedback loops between complementary gap genes.
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Quantitative and predictive model of transcriptional control of the Drosophila melanogaster even skipped gene.

TL;DR: The model correctly predicts the expression patterns of mutations in trans, as well as point mutations, insertions and deletions in cis, and shows that the nonclassical expression of stripe 7 driven by this fragment is activated by the protein Caudal (Cad), and repressed by the proteins Tailless and Giant.
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Characterization of the Drosophila segment determination morphome

TL;DR: This system and its behavior constitute an extraordinarily rich set of materials for the study of canalization and embryonic regulation at the molecular level, and is the first quantitatively characterized morphogenetic field.
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Registration of the expression patterns of Drosophila segmentation genes by two independent methods

TL;DR: An integrated map of Drosophila segmentation gene expression from partial data taken from individual embryos is constructed by constructing the integrated pattern of gene expression at cellular resolution.