Highlights

News

July 2018 - New Publication

Dual-spindle formation in zygotes keeps parental genomes apart in early mammalian embryos

We use light-sheet microscopy to show that two bipolar spindles form in the zygote and then independently congress the maternal and paternal genomes, keeping the parental genomes apart during the first cleavage. This provides a potential rationale for erroneous divisions into more than two blastomeric nuclei observed in mammalian zygotes and reveals the mechanism behind the observation that parental genomes occupy separate nuclear compartments in the two-cell embryo.

Also highlighted in FAZ, Zeit, Süddeutsche and EMBL etc.

A Science perspective article written by Agata P. Zielinska and Melina Schuh highlights the importance of Judith's work.


July 2018 - New Protocols online in Nature Protocols and Methods in Cell Biology

Detailed protocols on quantitative live and super-resolution microscopy, imaging of preimplantation imaging, genome-editing and fluorescence correlation spectroscopy now available at Nature Protocols and Methods in Methods in Cell Biology.


Also check out what's new on bioRxiv - Ellenberg Lab Preprints


Web Resource

In the link below from the iBioseminar website, watch Jan Ellenberg explaining how to perform high throughput content imaging screening with an update on the recent technologies developed in our lab and EMBL.

iBioseminar Homepage

Introduction to the Group and its Research

Our group is an international interdisciplinary team drawing its members from biology, physics, chemistry, computer science, and engineering. The overarching theme of the lab is to understand the molecular mechanism of the nuclear division cycle in a comprehensive manner in the physiological context of the intact living cell. To achieve this we develop and use a braod range of fluorescence-based imaging technologies to assay the functions of the involved molecular machinery non-invasively, automate imaging to address all its molecular components and computationally process image data to extract biochemical and biophysical parameters in order to generate mechanistic understanding and predictive models. Our biological questions are currently focused on three areas.