|
|
| |
 |
NanoAnalytics & Lab-on-a-Chip
- SINGLE CELL ANALYSIS
Contact: Dr. Jan Regtmeier |
| |
|
|
| |
|
Single cell analytics is a mandantory prerequisite
for the reliable characterization of cellular processes in Systems
Nanobiology which should not be affected by ensemble population
effects, like the inhomogeneous distribution of cellular response
due to an exernal stimuli or the different cell-cycle dependent
responses. To date, several first attempts to single cell analytical
tools (SCAT) have been conceived like single cell MALDI, PCR-amplified
single cell gene expression analysis, or single cell capillary
electrophoresis.
In the future, several different SCAT will exist side by side.
Our concept includes single cell imaging (see paragraph "Biophotonics")
and a single cell analytical device which is integrated into
a biological microchip platform, and combines nanostructured
fluidics with single photon counting sensitivity. The microchip
platform will allow integration of different parts for fluid
dispensing, pumps, valves, cell handling, separation, detection
and analytical purposes and will bring in the end a nanolaboratory
to the personal individuum (NanoMedecine).
|
| |
|
|
| |
|
 |
| |
|
Images: Microchip electrophoresis setup for
single cell fingerprinting (2), single cell electropherogram
of GFP-cell |
| |
|
|
| |
Project 1 |
Single Cell Fingerprinting |
| |
|
At present, our research focus is on the development
of a label-free single cell proteomics microdevice which combines
our activities in microfluidics, single cell handling, single
cell lysation, label-free UV-LIF protein detection, electrophoretic
separation of the cellular lysate and single photon detection.
Each of these individual tasks have already been verified and
proven in our laboratory and are currently been implemented
into the new single cell device. The detection part will be
developed for SMD in the UV as well as in the visible wavelength
range. The later has already proven a sensitivity better than
100 dye molecules in electrokinetically injected mode, which
is (to our knowledge) the lowest reported detection in microchip
format and three orders of magnitude better than the expected
copy number of a low abundant protein in a single cell. |
| |
|
Publications: [see section "Publications"] |
| |
|
Collaboration: K. Niehaus, Dept. of Genetics,
Bielefeld University |
| |
|
|
| |
|
other ongoing projects [...] |
| |
|
|
| |
|
We acknowledge funding from DFG (Germany) |
Last updated: 08.11.2010
|
|
