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The TGFβ signaling pathway is a crucial regulator of developmental processes and disease. The activity of TGFβ ligands is modulated by various families of soluble inhibitors that interfere with the interactions between ligands and receptors. In an unbiased, genome-wide RNAi screen to identify genes involved in ligand-dependent signaling, we unexpectedly identified the BMP/Activin/Nodal inhibitor Coco as an enhancer of TGFβ1 signaling. Coco synergizes with TGFβ1in bothcell culture and Xenopus explants. Molecularly, Coco binds to TGFβ1and enhances TGFβ1 binding to its receptor Alk5. Thus, Coco acts as both an inhibitor and an enhancer of signaling depending on the ligand it binds. This finding raises the need for a global reconsideration of the molecular mechanisms regulating TGFβ signaling. [ABSTRACT FROM AUTHOR]

The article provides information related to study on the dynamics of transforming growth factors-beta signaling (TGF-beta). TGF-beta is a protein that controls proliferation and differentiation in most cells. According to the study Smad4 gene enters the nucleus and then mediates the temporal adaptation of the pathway that terminates transcription.

The TGF-β pathway is known to behave as a classical morphogen, meaning that it can dictate cell fate decisions in a dose-dependent manner. Recent observations however showed that in addition to the absolute value of morphogen concentration, cells could also extract information from its temporal variations. In the present article we describe how to use automated microfluidics cell culture to stimulate cells with precisely defined temporal profiles of morphogens and how to engineer mouse embryonic stem cells with fluorescent reporters of pathway activity to record in real time their response to the applied stimulations. The combination of automated cell culture and of live cell reporter provides a complete toolbox to study how cells encode the information carried by time-varying TGF-β signals., (© 2022. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.)

In recent years, the interest for proteins that exert key functions in vesicular trafficking through their ability to sense or induce positive membrane curvature has expanded. In this chapter, we first present simple protocols to determine whether a protein targets positively curved membranes with liposomes of well-defined size. Next we describe more sophisticated approaches based on the controlled deformation of giant liposomes. These approaches allow visualization and quantification of protein binding to membrane regions of high curvature by real-time fluorescence microscopy. Last we describe several functional assays to measure how membrane curvature controls the activation state of Arf1 via ArfGAP1 or the asymmetric tethering between flat and curved membranes via the golgin GMAP-210., (Copyright © 2012 Elsevier Inc. All rights reserved.)

It has often been suggested that the high curvature of transport intermediates in cells may be a sufficient means to segregate different lipid populations based on the relative energy costs of forming bent membranes. In this review, we present in vitro experiments that highlight the essential physics of lipid sorting at thermal equilibrium: It is driven by a trade-off between bending energy, mixing entropy, and interactions between species. We collect evidence that lipid sorting depends strongly on lipid-lipid and protein-lipid interactions, and hence on the underlying composition of the membrane and on the presence of bound proteins.