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1.
J Cell Biol ; 220(2)2021 02 01.
Artigo em Inglês | MEDLINE | ID: mdl-33464298

RESUMO

Genome-wide CRISPR screens have transformed our ability to systematically interrogate human gene function, but are currently limited to a subset of cellular phenotypes. We report a novel pooled screening approach for a wider range of cellular and subtle subcellular phenotypes. Machine learning and convolutional neural network models are trained on the subcellular phenotype to be queried. Genome-wide screening then utilizes cells stably expressing dCas9-KRAB (CRISPRi), photoactivatable fluorescent protein (PA-mCherry), and a lentiviral guide RNA (gRNA) pool. Cells are screened by using microscopy and classified by artificial intelligence (AI) algorithms, which precisely identify the genetically altered phenotype. Cells with the phenotype of interest are photoactivated and isolated via flow cytometry, and the gRNAs are identified by sequencing. A proof-of-concept screen accurately identified PINK1 as essential for Parkin recruitment to mitochondria. A genome-wide screen identified factors mediating TFEB relocation from the nucleus to the cytosol upon prolonged starvation. Twenty-one of the 64 hits called by the neural network model were independently validated, revealing new effectors of TFEB subcellular localization. This approach, AI-photoswitchable screening (AI-PS), offers a novel screening platform capable of classifying a broad range of mammalian subcellular morphologies, an approach largely unattainable with current methodologies at genome-wide scale.


Assuntos
Sistemas CRISPR-Cas/genética , Testes Genéticos , Genoma , Imageamento Tridimensional , Inteligência Artificial , Fatores de Transcrição de Zíper de Leucina e Hélice-Alça-Hélix Básicos/metabolismo , Linhagem Celular Tumoral , Núcleo Celular/metabolismo , Proteína A de Ligação a Elemento de Resposta do AMP Cíclico/metabolismo , Aprendizado Profundo , Proteínas de Fluorescência Verde , Células HEK293 , Humanos , Modelos Biológicos , Redes Neurais de Computação , Fenótipo , Reprodutibilidade dos Testes , Análise de Célula Única , Máquina de Vetores de Suporte , Ubiquitina-Proteína Ligases/metabolismo , RNA Guia de Sistemas CRISPR-Cas
2.
Cells ; 8(7)2019 07 12.
Artigo em Inglês | MEDLINE | ID: mdl-31336877

RESUMO

In the yeast Saccharomyces cerevisiae, components of the High Osmolarity Glycerol (HOG) pathway are important for the response to diverse stresses including response to endoplasmic reticulum stress (ER stress), which is produced by the accumulation of unfolded proteins in the lumen of this organelle. Accumulation of unfolded proteins may be due to the inhibition of protein N-glycosylation, which can be achieved by treatment with the antibiotic tunicamycin (Tn). In this work we were interested in finding proteins involved in the ER stress response regulated by Hog1, the mitogen activated protein kinase (MAPK) of the HOG pathway. A high gene dosage suppression screening allowed us to identify genes that suppressed the sensitivity to Tn shown by a hog1Δ mutant. The suppressors participate in a limited number of cellular processes, including lipid/carbohydrate biosynthesis and protein glycosylation, vesicle-mediated transport and exocytosis, cell wall organization and biogenesis, and cell detoxification processes. The finding of suppressors Rer2 and Srt1, which participate in the dolichol biosynthesis pathway revealed that the hog1Δ strain has a defective polyprenol metabolism. This work uncovers new genetic and functional interactors of Hog1 and contributes to a better understanding of the participation of this MAPK in the ER stress response.


Assuntos
Farmacorresistência Fúngica/genética , Estresse do Retículo Endoplasmático/genética , Proteínas Quinases Ativadas por Mitógeno/fisiologia , Proteínas de Saccharomyces cerevisiae/fisiologia , Saccharomyces cerevisiae/efeitos dos fármacos , Saccharomyces cerevisiae/enzimologia , Supressão Genética , Tunicamicina/farmacologia , Alquil e Aril Transferases/metabolismo , Dimetilaliltranstransferase/metabolismo , Dosagem de Genes , Regulação Fúngica da Expressão Gênica/genética , Sistema de Sinalização das MAP Quinases , Proteínas Quinases Ativadas por Mitógeno/genética , Saccharomyces cerevisiae/genética , Proteínas de Saccharomyces cerevisiae/genética , Proteínas de Saccharomyces cerevisiae/metabolismo , Resposta a Proteínas não Dobradas
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