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1.
EMBO J ; 41(18): e110596, 2022 09 15.
Artículo en Inglés | MEDLINE | ID: mdl-35938214

RESUMEN

Cells are constantly exposed to various chemical and physical stimuli. While much has been learned about the biochemical factors that regulate secretory trafficking from the endoplasmic reticulum (ER), much less is known about whether and how this trafficking is subject to regulation by mechanical signals. Here, we show that subjecting cells to mechanical strain both induces the formation of ER exit sites (ERES) and accelerates ER-to-Golgi trafficking. We found that cells with impaired ERES function were less capable of expanding their surface area when placed under mechanical stress and were more prone to develop plasma membrane defects when subjected to stretching. Thus, coupling of ERES function to mechanotransduction appears to confer resistance of cells to mechanical stress. Furthermore, we show that the coupling of mechanotransduction to ERES formation was mediated via a previously unappreciated ER-localized pool of the small GTPase Rac1. Mechanistically, we show that Rac1 interacts with the small GTPase Sar1 to drive budding of COPII carriers and stimulates ER-to-Golgi transport. This interaction therefore represents an unprecedented link between mechanical strain and export from the ER.


Asunto(s)
Mecanotransducción Celular , Proteínas de Unión al GTP Monoméricas , Transporte Biológico , Vesículas Cubiertas por Proteínas de Revestimiento/metabolismo , Retículo Endoplásmico/metabolismo , Aparato de Golgi/metabolismo , Proteínas de Unión al GTP Monoméricas/metabolismo , Transporte de Proteínas/fisiología
2.
Int J Mol Sci ; 22(3)2021 Jan 30.
Artículo en Inglés | MEDLINE | ID: mdl-33573289

RESUMEN

The growing attention toward the benefits of single-cell RNA sequencing (scRNA-seq) is leading to a myriad of computational packages for the analysis of different aspects of scRNA-seq data. For researchers without advanced programing skills, it is very challenging to combine several packages in order to perform the desired analysis in a simple and reproducible way. Here we present DIscBIO, an open-source, multi-algorithmic pipeline for easy, efficient and reproducible analysis of cellular sub-populations at the transcriptomic level. The pipeline integrates multiple scRNA-seq packages and allows biomarker discovery with decision trees and gene enrichment analysis in a network context using single-cell sequencing read counts through clustering and differential analysis. DIscBIO is freely available as an R package. It can be run either in command-line mode or through a user-friendly computational pipeline using Jupyter notebooks. We showcase all pipeline features using two scRNA-seq datasets. The first dataset consists of circulating tumor cells from patients with breast cancer. The second one is a cell cycle regulation dataset in myxoid liposarcoma. All analyses are available as notebooks that integrate in a sequential narrative R code with explanatory text and output data and images. R users can use the notebooks to understand the different steps of the pipeline and will guide them to explore their scRNA-seq data. We also provide a cloud version using Binder that allows the execution of the pipeline without the need of downloading R, Jupyter or any of the packages used by the pipeline. The cloud version can serve as a tutorial for training purposes, especially for those that are not R users or have limited programing skills. However, in order to do meaningful scRNA-seq analyses, all users will need to understand the implemented methods and their possible options and limitations.


Asunto(s)
Biomarcadores/análisis , Biología Computacional/métodos , RNA-Seq/métodos , Análisis de la Célula Individual/métodos , Animales , Neoplasias de la Mama/sangre , Neoplasias de la Mama/diagnóstico , Neoplasias de la Mama/genética , Ciclo Celular/genética , Conjuntos de Datos como Asunto , Femenino , Redes Reguladoras de Genes , Secuenciación de Nucleótidos de Alto Rendimiento , Humanos , Liposarcoma Mixoide/diagnóstico , Liposarcoma Mixoide/genética , Ratones , Células Neoplásicas Circulantes/patología , Programas Informáticos , Pez Cebra
3.
Commun Biol ; 3(1): 706, 2020 11 25.
Artículo en Inglés | MEDLINE | ID: mdl-33239753

RESUMEN

Tyrosine kinase A (TrkA) is a membrane receptor which, upon ligand binding, activates several pathways including MAPK/ERK signaling, implicated in a spectrum of human pathologies; thus, TrkA is an emerging therapeutic target in treatment of neuronal diseases and cancer. However, mechanistic insights into TrKA signaling are lacking due to lack of site-dependent phosphorylation control. Here we engineer two light-sensitive tyrosine analogues, namely p-azido-L-phenylalanine (AzF) and the caged-tyrosine (ONB), through amber codon suppression to optically manipulate the phosphorylation state of individual intracellular tyrosines in TrkA. We identify TrkA-AzF and ONB mutants, which can activate the ERK pathway in the absence of NGF ligand binding through light control. Our results not only reveal how TrkA site-dependent phosphorylation controls the defined signaling process, but also extend the genetic code expansion technology to enable regulation of receptor-type kinase activation by optical control at the precision of a single phosphorylation site. It paves the way for comprehensive analysis of kinase-associated pathways as well as screening of compounds intervening in a site-directed phosphorylation pathway for targeted therapy.


Asunto(s)
Colorantes Fluorescentes , Sistema de Señalización de MAP Quinasas/genética , Receptor trkA , Tirosina , Azidas/química , Azidas/metabolismo , Colorantes Fluorescentes/química , Colorantes Fluorescentes/metabolismo , Células HEK293 , Humanos , Fosforilación/genética , Receptor trkA/química , Receptor trkA/genética , Receptor trkA/metabolismo , Tirosina/análogos & derivados , Tirosina/química , Tirosina/metabolismo
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