Embryo-wide quantitative analysis of BMP signaling in zebrafish embryos, combined with a mathematical model-based computational screen, challenges the prevailing model of an antagonist counter-gradient shaping the gastrula BMP morphogen gradient and supports an antagonist sink with BMP diffusion mechanism.

By thinking about experimental techniques in terms of six broad approaches – perturbation, visualization, substitution, characterization, reconstitution, and simulation – researchers may be able to generate more reliable inferences.

Elucidating widespread and tissue-specific biological process alterations after myocardial infaction in metabolically active tissues using systems biology approaches.

Data-driven systems biology models of signaling predict cellular response to untested perturbations and can nominate drug combinations to overcome drug resistance in cancer cells.

The Time Point Selection (or TPS) method is a general protocol for determining sampling rates for high throughout time series biological studies, that is efficient, cheap, scalable and works well for several different types of molecular data.

Cancer systems immunology is a highly interdisciplinary field that is advancing our ability to understand and predict the complex behavior that orchestrates the interplay between tumors and the immune system.

Consideration of signal detection theory shows how decision ecology relates to optimal collective decisions, helping explain the prevalence of quorum-sensing in even the simplest collective systems, such as bacterial communities.

Iodixanol supplementation provides a simple method for tuning the refractive index of live imaging media, which can greatly improve resolution and penetration depth in live imaging experiments.

A synthetic, prospective article considers how the fields of sensory ecology and collective behaviour can combine when considering animal collective movements and interactions, and how these fields can inspire each other to advance understanding of animal behaviour, adaptation and evolution.