Search results for "solu"

Characterization and immunological aspects of Borrelia burgdorferi pleomorphic round bodies

2015

The Role of Small-Angle X-Ray Scattering and Molecular Simulations in 3D Structure Elucidation of a DNA Aptamer Against Lung Cancer

2021

Aptamers are short, single-stranded DNA or RNA oligonucleotide molecules that function as synthetic analogs of antibodies and bind to a target molecule with high specificity. Aptamer affinity entirely depends on its tertiary structure and charge distribution. Therefore, length and structure optimization are essential for increasing aptamer specificity and affinity. Here we present a general optimization procedure for finding most populated atomistic structures of DNA aptamers. Based on the existed aptamer LC-18 for lung adenocarcinoma, a new truncated aptamer LC-18t was developed. A three-dimensional shape of LC-18t was reported based on small-angle X-ray scattering (SAXS) experiments and m…

Localization of I-BAR domain proteins in invasive cancer cells

2011

An important step in cancer metastasis is the ability of the cancer cells to degrade the surrounding extracellular matrix (ECM) and migrate through it. To accomplish this, invasive cancer cells generate protrusive structures called invadopodia, which are dynamic cell protrusions that secrete matrix metalloproteinases (MMPs) responsible for the degradation of the ECM. Invadopodia formation employs the actin polymerization machinery and several cell adhesion, signal transduction and matrix degradation proteins. In addition, mechanisms involving membrane deformation may play a major role in their formation. Recently, an evolutionary conserved group of proteins involved in the formation of cell…

Development of baculovirus display strategies towards targeting to tumor vasculature

2006

Matilaisen väitöstutkimuksen tavoitteena oli kehittää bakulovirusta käytettäväksi geeniterapiaan syövän hoitoon. Bakulovirus on hyönteisvirus ja siten turvallisempi vaihtoehto kokeellisessa geeniterapiassa tällä hetkellä käytettäville patogeenisille viruksille tai niiden muunnelmille.Matilainen tutki myös virusten ja käytettyjen kohdennuspeptidien sisääntulomekanismeja ihmisen syöpäsoluihin. Tutkimuksessa löydettiin mahdollisesti bakuloviruksen uusi vaihtoehtoinen sisääntuloreitti. Virusten ja kohdennusmolekyylien reseptoreiden sisääntulomekanismien tutkimus ja tunteminen on edellytyksenä onnistuneiden geeninsiirtojen aikaansaamiselle ja täten myös onnistuneelle geeniterapialle.Matilainen k…

Absolute quantification of noncoding RNA by microscale thermophoresis

2019

Abstract Accurate quantification of the copy numbers of noncoding RNA has recently emerged as an urgent problem, with impact on fields such as RNA modification research, tissue differentiation, and others. Herein, we present a hybridization‐based approach that uses microscale thermophoresis (MST) as a very fast and highly precise readout to quantify, for example, single tRNA species with a turnaround time of about one hour. We developed MST to quantify the effect of tRNA toxins and of heat stress and RNA modification on single tRNA species. A comparative analysis also revealed significant differences to RNA‐Seq‐based quantification approaches, strongly suggesting a bias due to tRNA modifica…

Biomass estimator for NIR image with a few additional spectral band images taken from light UAS

2012

A novel way to produce biomass estimation will offer possibilities for precision farming. Fertilizer prediction maps can be made based on accurate biomass estimation generated by a novel biomass estimator. By using this knowledge, a variable rate amount of fertilizers can be applied during the growing season. The innovation consists of light UAS, a high spatial resolution camera, and VTT's novel spectral camera. A few properly selected spectral wavelengths with NIR images and point clouds extracted by automatic image matching have been used in the estimation. The spectral wavelengths were chosen from green, red, and NIR channels.

A posteriori error estimates for time-dependent reaction-diffusion problems based on the Payne-Weinberger inequality

2015

We consider evolutionary reaction-diffusion problem with mixed Dirichlet--Robin boundary conditions. For this class of problems, we derive two-sided estimates of the distance between any function in the admissible energy space and exact solution of the problem. The estimates (majorants and minorants) are explicitly computable and do not contain unknown functions or constants. Moreover, it is proved that the estimates are equivalent to the energy norm of the deviation from the exact solution.

A Stochastic Algorithm Based on Fast Marching for Automatic Capacitance Extraction in Non-Manhattan Geometries

2014

WOS:000346854900026 (Nº de Acesso Web of Science) We present an algorithm for two- and three-dimensional capacitance analysis on multidielectric integrated circuits of arbitrary geometry. Our algorithm is stochastic in nature and as such fully parallelizable. It is intended to extract capacitance entries directly from a pixelized representation of the integrated circuit (IC), which can be produced from a scanning electron microscopy image. Preprocessing and monitoring of the capacitance calculation are kept to a minimum, thanks to the use of distance maps automatically generated with a fast marching technique. Numerical validation of the algorithm shows that the systematic error of the algo…

Transformation of the Forest-based Bioeconomy by Embracing Digital Solutions

2017

This paper attempts to explore a new insight to both industrialized and growing economies by demonstrating a digital-driven creative disruption in the forest-based bioeconomy which is beginning to replace its conventional and narrow concept of a forest-blinded economy. Notwithstanding the potential broad cross-sectoral benefits to both industrialized and growing economies, natural environments and locality constraints and the incessant challenge of distance have impeded balanced development of this economy. However, driven by digital solutions the economy has taken big steps forward in recent years. Digitalization has enabled real-time end-to-end supply chain visibility, improved delivery a…

Curvelet-based method for orientation estimation of particles from optical images

2014

A method based on the curvelet transform is introduced to estimate the orientation distribution from two-dimensional images of small anisotropic particles. Orientation of fibers in paper is considered as a particular application of the method. Theoretical aspects of the suitability of this method are discussed and its efficiency is demonstrated with simulated and real images of fibrous systems. Comparison is made with two traditionally used methods of orientation analysis, and the new curvelet-based method is shown to perform better than these tradi- tional methods. © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of th…