Conferences system

Четверг, 14 июня 2012 года, 18:00, Москва, МГУ, лабораторный корпус «Б».

Тема заседания — доклад Янниса Калайдзидиса (Yannis Kalaidzidis), Институт молекулярной клеточной биологии и генетики Общества Макса Планка, Дрезден;
«Многоуровневый вычислительный подход к системной биологии»

Systems biology aims at the understanding of how many different molecules work together to build cells, organs and, ultimately, an entire organism. Understanding of a biological system in terms of its engineering properties and functional circuitries allows predicting how a given perturbation, such as a disease or drug, can impact on the physiology of an organism. In the past two decades, the sequencing of various genomes in combination with a number of analytical technologies (omics) has enabled the systematic analysis of cellular components. Functional genomics techniques (e.g. RNA interference, RNAi) applied at large scale have addressed the function of individual genes with respect to a particular cellular process. Cataloguing the individual molecules expressed in a cell is, however, not sufficient to reconstruct the mechanisms whereby individual molecules interact in functional networks or assemble into organelles to form cells and tissues. The present modelling approaches largely focusing on signal transduction and metabolic pathways can capture the complexity of cell and tissue organization only to a very limited degree. One of the reasons why cell and tissue morphogenesis remains an unsolved problem is that we lack detailed and accurate information on the spatio-temporal patterns of molecules (the where and when) in the context of their function in cells and tissues.
Light microscopy is a major source of detailed information on spatio-temporal organization of biological systems, ranging from single molecule to sub-cellular structures up to whole organ level. In recent years, light microscopy techniques have been developed to such an extent that they can now provide an unprecedented level of resolution, dynamic range and throughput for the imaging and analysis of biological samples.
For example, imaging and quantifying cellular organelles such as endosomes is a major challenge. Endosomes range in size between 100nm and 1-2μm (Fig.1) and the amount of specific molecular components can vary more then 2-3 orders of magnitude. Although image processing is being done in biology, many of the techniques used are still inadequate to extract quantitative parameters from image data, which can be used to generate mathematical models of biological processes on different scales.
When applied to high-throughput studies, this technology has the potential to explore the complexity of cellular circuits and discriminate between possible mathematical models by testing their predictions.

Рабочий язык семинара — русский.

Адрес:
Москва, МГУ, лабораторный корпус «Б» (факультет биоинженерии и биоинформатики), комната 221 (2 этаж, направо по коридору).
Проезд: Станция метро Университет, автобусы 187, 260, 130, 103, 113, 661, 47 или троллейбус 34 до остановки: «Улица Менделеевская».
Схема проезда