Download Institute for Genetics of the University of Cologne Christoph Möhl

Survey
yes no Was this document useful for you?
   Thank you for your participation!

* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project

Document related concepts

Cell membrane wikipedia , lookup

Cytosol wikipedia , lookup

Cytoplasmic streaming wikipedia , lookup

Endomembrane system wikipedia , lookup

Cell cycle wikipedia , lookup

Programmed cell death wikipedia , lookup

Tissue engineering wikipedia , lookup

Extracellular matrix wikipedia , lookup

JADE1 wikipedia , lookup

Cell growth wikipedia , lookup

Cell encapsulation wikipedia , lookup

Cell culture wikipedia , lookup

Cellular differentiation wikipedia , lookup

Mitosis wikipedia , lookup

Cytokinesis wikipedia , lookup

Organ-on-a-chip wikipedia , lookup

Amitosis wikipedia , lookup

List of types of proteins wikipedia , lookup

Transcript
Institute for Genetics
of the University of Cologne
Christoph Möhl
Cell Biology and Biophysics, EMBL Heidelberg
How do cells move?
- Illuminating the process of cell migration by
quantitative fluorescence microscopy techniques
Active movement of single cells plays a central role in various biological processes such as tissue
development, cancer metastasis and immune response. In contrast to e.g. flagellar movement,
cell migration is not driven by a distinct organelle, but rather by the concerted integration of
multiple dynamic processes throughout the whole cell. These involve actin-driven membrane
protrusions, turnover of substrate adhesions and generation of traction forces. Due to the lack of
data integration methods for optical imaging experiments, the dynamic interplay of those
processes is still poorly understood.
In this work we present spatial patterns of focal adhesion dynamics, actin flow and traction forces
in migrating cells based on a new quantitative image analysis approach enabling rigorous
averaging of microscopic data over time and whole cell populations.Whereas modern imaging
techniques allow the precise mapping of e.g. traction forces and actin dynamics, the spatial
organization of these processes has been intuitively inferred from snapshot-like observations of
single cells so far. Although this procedure has led to remarkable insights, its subjective nature is
a severe limitation. A promising strategy to extract information on generalized cell architecture
more objectively is averaging microscopic data over time and various cells. However, since
migrating cells usually perform a random walk by constantly changing their location, shape and
cytoskeletal organization, averaging is usually hindered by highly heterogeneous data sets.To
overcome these problems, we established an algorithm to map data from functional live cell
microscopy into a standardized cell coordinate system enabling precise averaging of maps over
time and cell populations. This approach is not only suitable to integrate large data sets from
high-throughput microscopy, but also allows the fusion of independent measurements of different
molecular targets to one consistent picture.
Monday, July 25, 2011 at 02.00 p. m.
Institute for Genetics,
Zülpicher Str. 47 a, Lecture Hall, 4th floor
Host: Astrid Schauss,
CECAD Imagingfacility, Institute for Genetics