Search bioRxivSearch

Biology subjects

Gaudenz Danuser

Publications and source records attributed to Gaudenz Danuser.

2 recordsLinked to original sources

Diverse roles of guanine nucleotide exchange factors in regulating collective cell migration

Efficient collective migration depends on a balance between contractility and cytoskeletal rearrangements, adhesion, and mechanical cell-cell communication, all controlled by GTPases of the RHO family. By comprehensive screening of guanine nucleotide exchange factors (GEFs) in human bronchial epithelial cell monolayers, we identified GEFs that are required for collective migration at large, such as SOS1 and {beta}-PIX, and RHOA GEFs that are implicated in intercellular communication. Downregulation of the latter GEFs differentially enhanced front-to-back propagation of guidance cues through the monolayer, and was mirrored by downregulation of RHOA expression and myosin-II activity. Phenotype-based clustering of knock-down behaviors identified RHOA-ARHGEF18 and ARHGEF3-ARHGEF28-ARHGEF11 clusters, indicating that the latter may signal through other RHO-family GTPases. Indeed, knock-down of RHOC produced an intermediate between the two phenotypes. We conclude that for effective collective migration the RHOA-GEFs-[->]ARHOA/C[->] actomyosin pathways must be optimally tuned to compromise between generation of motility forces and restriction of intercellular communication.

Cell Biology

Decoupling global biases and local interactions between cell biological variables

Analysis of coupled variables is a core concept of cell biological inference, with co-localization of two molecules as a proxy for protein interaction being a ubiquitous example. However, external effectors may influence the observed co-localization independently from the local interaction of two proteins. Such global bias, although biologically meaningful, is often neglected when interpreting co-localization. Here, we describe DeBias, a computational method to quantify and decouple global bias from local interactions between variables by modeling the observed co-localization as the cumulative contribution of a global and a local component. We showcase four applications of DeBias in different areas of cell biology, and demonstrate that the global bias encapsulates fundamental mechanistic information of cellular behavior. The DeBias software package is freely accessible online via a web-server at https://debias.biohpc.swmed.edu.

Cell Biology