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© Thomas Gregor
The image shows a Drosophila embryo 2 hr after fertilization, with nuclei at the surface fluorescently labeled for Bicoid protein (blue), Hunchback protein (green), and DNA (red). Using two-photon microscopy these embryos were imaged to quantitatively characterize the dynamics and precision of how morphogen molecules communicate positional information to individual nuclei. In this example, the shallow Bicoid gradient generates a sharp Hunchback boundary (enlarged in the background), partitioning the embryo in half. This input/output relationship is quantitatively represented in the foreground (yellow), where each dot specifies the Bicoid concentration (horizontal axis) and Hunchback concentration (vertical axis) measured in a single nucleus. The results indicate that the precision with which the embryo interprets and locates this boundary is very high, approaching limits set by simple physical principles.
Project

Private: Open positions in the Unit for Physics of Biological Function

Starting Date
01
Feb 2018
Ending Date
01
Sep 2021
Status
Not started
Members
1
Structures
2

About

We are currently looking to fill three open positions for postdoctoral training and are looking for doctoral and master students to join the lab. They center around three themes that we want to push forward over the next two to three years:

1. At the level of a genetic network, extract global properties and design principles from expression level measurements and analysis.

2. At the molecular level, develop mathematical models underlying the fundamental mechanisms of transcriptional regulation. We test these using single molecule and live measurements of the transcriptional output, and perturbative experiments using genetics and opto-genetics.

3. At the level of the dynamics of the DNA polymer, link the nuclear architecture with actual transcriptional activity in terms of multiple enhancers recruiting the same promoter in a given cell.

Experimental and theoretical physicists (preferentially with experience in biological and/or soft-matter physics), engineers and materials scientists with experience in biology, and biologists interested and experienced in quantitative approaches are strongly encouraged to apply. Outstanding applicants in other fields (mathematics, computer science, chemistry, etc.) will also be considered. Experience with microscopy and image analysis is a plus but not necessary.

Applicants should email me their CV and a brief description of research interests, as well as their motivation to join the lab.