@article{32bae5d5023d419a812456539291df1e,
title = "Decoupling global biases and local interactions between cell biological variables",
abstract = "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 insight into cellular behavior.",
author = "Assaf Zaritsky and Uri Obolski and Zhuo Gan and Reis, {Carlos R.} and Zuzana Kadlecova and Yi Du and Schmid, {Sandra L.} and Gaudenz Danuser",
note = "Funding Information: We thank the BioHPC team at UTSW and especially Liqiang Wang for the help in implementing the DeBias web-server and making it freely available for public use. We are grateful to Tamal Das and Joachim Spatz for providing us with the motion and stress data from their tight-junction screen. We thank Andrew Jamieson for helping to package the source code and creating the repository. We thank Dana Reed for assistance with cell characterization and mycoplasma testing. We thank Sangyoon Han, Claudia Schaefer, Meghan Driscoll, Erik Welf, Phillippe Roudot and Marcel Mettlen for critically reading the manuscript and Marcel Mettlen for fruitful discussions and advice.This work was supported by the Cancer Prevention and Research Institute of Texas (CPRIT R1225 to GD), by NIH P01 GM103723, P01 GM096971 (to GD) and by GM713165 (to SLS and GD). Publisher Copyright: {\textcopyright} Zaritsky et al.",
year = "2017",
month = mar,
day = "13",
doi = "10.7554/eLife.22323",
language = "English",
volume = "6",
journal = "eLife",
issn = "2050-084X",
publisher = "eLife Sciences Publications",
}