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Hidalgo, F.

Publications and source records attributed to Hidalgo, F..

3 recordsLinked to original sources

A Saturation-Mutagenesis Analysis of the Interplay Between Stability and Activation in Ras

Cancer mutations in Ras occur predominantly at three hotspots: Gly 12, Gly 13, and Gln 61. Previously, we reported that deep mutagenesis of H-Ras using a bacterial assay identified many other activating mutations (Bandaru et al. eLife, 2017). We now show that the results of saturation mutagenesis of H-Ras in mammalian Ba/F3 cells correlate well with results of bacterial experiments in which H-Ras or K-Ras are co-expressed with a GTPase-activating protein (GAP). The prominent cancer hotspots are not dominant in the Ba/F3 data. We used the bacterial system to mutagenize Ras constructs of different stabilities and discovered a feature that distinguishes the cancer hotspots. While mutations at the cancer hotspots activate Ras regardless of construct stability, mutations at lower-frequency sites (e.g., at Val 14 or Asp 119) can be activating or deleterious, depending on the stability of the Ras construct. We characterized the dynamics of three non-hotspot activating Ras mutants by using NMR to monitor hydrogen-deuterium exchange (HDX). These mutations result in global increases in HDX rates, consistent with the destabilization of Ras. An explanation for these observations is that mutations that destabilize Ras increase nucleotide dissociation rates, enabling activation by spontaneous nucleotide exchange. A further stability decrease can lead to insufficient levels of folded Ras - and subsequent loss of function. In contrast, the cancer hotspot mutations are mechanism-based activators of Ras that interfere directly with the action of GAPs. Our results demonstrate the importance of GAP surveillance and protein stability in determining the sensitivity of Ras to mutational activation.

biophysics↗

Mutagenesis-visualization: analysis of site saturation mutagenesis datasets in Python

SummarySite-saturation mutagenesis experiments have been transformative in our study of protein function. Despite the rich data generated from such experiments, current tools for processing, analyzing, and visualizing the data offer only a limited set of static visualization tools that are difficult to customize. Furthermore, usage of the tools requires extensive experience and programming knowledge, slowing the research process for those in the biological field who are unfamiliar with programming. Here, we introduce mutagenesis-visualization, a Python package for creating publication-quality figures for site-saturation mutagenesis datasets without the need for prior Python or statistics experience, where each of the graphs is generated with a one-line command. The plots can be rendered as native Matplotlib objects (easy to stylize) or Plotly objects (interactive graphs). Additionally, the software offers the possibility to visualize the datasets on Pymol. Availability and implementationThe software can be installed from PyPI or GitHub using the pip package manager and is compatible with Python [≥] 3.8. The documentation can be found at readthedocs and the source code on GitHub.

bioinformatics↗

AKAP350 REGULATES CYTOSKELETON REMODELLING AND LFA-1 ORGANIZATION DURING NK CYTOLYTIC RESPONSE

The elimination of transformed and viral infected cells by natural killer (NK) cells requires the formation of a specialized junction between NK and target cells, generally denominated immunological synapse (IS). After initial recognition, the IS enables the directed secretion of lytic granules content into the susceptible target cell. The lymphocyte function-associated antigen (LFA)-1 regulates NK effector function by enabling NK-IS assembly and maturation. The pathways underlying LFA-1 accumulation at the IS in NK cells have not been elucidated so far. A kinase anchoring protein 350 (AKAP350) is a centrosome/Golgi associated protein with a central role in the regulation of Golgi organization and microtubule dynamics. In T cells, AKAP350 participates in LFA-1 activation by mechanisms that remain elusive. We first investigated AKAP350 participation in NK cytolytic activity. Our results showed that the decrease in AKAP350 levels by expression of specific shRNAs (AKAP350KD) inhibited NK-YTS cytolytic activity, without affecting NK:target cell conjugate formation. The impairment of NK effector function in AKAP350KD cells correlated with decreased LFA-1 clustering and defective IS maturation. AKAP350KD cells that were exclusively activated via LFA-1 showed impaired LFA-1 organization and deficient lytic granule translocation as well. In NK AKAP350KD cells, activation signaling through Vav1 was preserved up to 10 min of interaction with target cells, but significantly decreased afterwards. Experiments in YTS and in ex vivo NK cells revealed the existence of an intracellular pool of LFA-1 vesicles, which partially associated with the Golgi apparatus. Upon NK cell activation, this LFA-1 pool redistributed to the IS in a Golgi-AKAP350-dependent manner. Disruption of Golgi integrity or alteration of microtubule dynamics impaired LFA-1 localization at the IS. Therefore, this study reveals the existence of a Golgi/AKAP350 dependent trafficking pathway for LFA-1, which is relevant for LFA-1 organization at NK-lytic IS and, concomitantly, for NK cytolytic function.

cell biology↗