349 research outputs found
What Is “Apocynum sibiricum”? A Critical Comment on the Long-Term Taxonomic Homonymy
No full textThe necessity of the typification of the Apocynum L. s.l. (incl. Poacynum Baill. and Trachomitum Woodson) (Apocynaceae) species is crucial for future dogbane diversity estimations. Still, the original material of many taxa of the genus Apocynum s.l. is doubtful or remains to be discovered. This study’s topic is resolving a long-term taxonomic homonymy around the widely used binomial “A. sibiricum”. The misusing of the name “A. sibiricum” became a reason for long-term misunderstanding of the meaning of the binomial Poacynum sarmatiense (Woodson) Mavrodiev, Laktionov & Yu.E.Alexeev (A. sarmatiense (Woodson) Wissjul.; T. sarmatiense Woodson) and therefore for the misestimation of the Apocynum s.l. diversity in Russian and other Eurasian floras. Resolving this issue, here, we designate the lectotype of A. sibiricum Jacq. and the name “A. sibiricum Pall.” was validated within Poacynum as P. pallasianum Mavrodiev, Sytin, Laktionov & Vasjukov nom. nov. (Apocynum sibiricum auct., non Jacq.) with the lectotype selected from the original collections of Peter Simon Pallas
Knock down of cytosolic phospholipase A2: an antisense oligonucleotide having a nuclear localization binds a C-terminal motif of glyceraldehyde-3-phosphate dehydrogenase
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The Rossmann fold of glyceraldehyde-3-phosphate dehydrogenase (GAPDH) is a nuclear docking site for antisense oligonucleotides containing a TAAAT motif
No full textThe subcellular localisation of oligodeoxynucleotides (ODN) is a major limitation for their use against nuclear targets. In this study we demonstrate that an antisense ODN directed against cytosolic phospholipase A(2) (cPLA2) mRNA is efficiently taken up and accumulates in the nuclei of endothelial cells (HUVEC), human monocytes and HeLa cells. Gel shift experiments and incubation of cells with oligonucleotide derivatives show that the anti-cPLA2 oligo binds a 37 kDa protein in nuclear extracts. The TAAAT sequence was identified as the major binding motif for the nuclear protein in competition experiments with mutated ODNs. Modification of the AAA tripler resulted in an ODN which failed to localise in the nucleus. Moreover, inserting a TAAAT motif into an ODN localising in the cytosol did not modify its localisation. The 37 kDa protein was purified and identified after peptide sequencing as glyceraldehyde-3-phosphate dehydrogenase (GAPDH). It was shown by confocal microscopy that GAPDH co-localises with anti-cPLA2 ODN in the nucleus and commercial GAPDH effectively binds the oligo. Competition experiments with increasing concentration of NAD(+) co-factor indicate that the GAPDH Rossmann fold is a docking site for antisense oligonucleotides containing a TAAAT motif. (C) 2001 Elsevier Science B.V. All rights reserved
Improvement of the method for optimization of predicting the efficiency of a robotic platform = Удосконалення методу оптимізації прогнозування ефективності робототехнічної платформи
No full textLaktionov O.I. Improvement of the method for optimization of predicting the efficiency of a robotic platform / O.I. Laktionov, I.S. Laktionova // Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. – 2024. – № 3. – P. 135–141. – https://doi.org/10.33271/nvngu/20243/135Improving the optimization method for predicting the efficiency of a robotic platform (using the gradient boosting method as an example). The process of refining the optimization method for predicting efficiency has been investigated using robotic platforms as complex systems comprising hardware components, data exchange technology, security systems, and navigation, along with user interaction methods. The optimization method relies on a linear equation, whose mathematical model, through the triple interaction of factors, consolidates assessments of subsystem elements into an efficiency index for the robotic platform. The outcomes of the proposed optimization algorithm result in regression models from machine learning. These acquired models are employed for predicting the efficiency of a specific configuration of a robotic platform designed to perform particular practical tasks.Удосконалення методу оптимізації прогнозування ефективності робототехнічної платформи (на прикладі ідей методу градієнтного бусингу). Досліджено процес удосконалення методу оптимізації прогнозування ефективності на прикладі робототехнічних платформ як складних систем, що складаються з апаратної складової, технології обміну даними, системи безпеки й навігації, способу взаємодії з користувачем. Основою методу оптимізації є лінійне рівняння, математична модель якого, за рахунок потрійної взаємодії факторів, об’єднує оцінки елементів підсистем у індекс ефективності робототехнічної платформи. Результатами роботи запропонованого алгоритму оптимізації є регресійні моделі машинного навчання. Отримані моделі використовуються для прогнозування ефективності робототехнічної платформи певної конфігурації, що виконуватиме конкретні практичні завдання
Isolation and characterization of exosomes from blood of patients with mastopathy and breast cancer
No full textBioinformatics analysis for evaluation of the diagnostic potentialities of miR-19b, -125b and -205 as liquid biopsy markers of prostate cancer
No full textRole of glyceraldehyde-3-phosphate dehydrogenase in vesicular transport from Golgi apparatus to endoplasmic reticulum
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Comparative gene expression profiling of human primary endotheliocytes cultivated on polyurethane-based electrospun 3D matrices and natural decellularized vein
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