Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 4 de 4
Filtrar
Más filtros

Bases de datos
Tipo del documento
País de afiliación
Intervalo de año de publicación
1.
Nat Rev Genet ; 25(4): 272-285, 2024 Apr.
Artículo en Inglés | MEDLINE | ID: mdl-38195868

RESUMEN

Gene regulatory networks drive the specific transcriptional programmes responsible for the diversification of cell types during the development of multicellular organisms. Although our knowledge of the genes involved in these dynamic networks has expanded rapidly, our understanding of how transcription is spatiotemporally regulated at the molecular level over a wide range of timescales in the small volume of the nucleus remains limited. Over the past few decades, advances in the field of single-molecule fluorescence imaging have enabled real-time behaviours of individual transcriptional components to be measured in living cells and organisms. These efforts are now shedding light on the dynamic mechanisms of transcription, revealing not only the temporal rules but also the spatial coordination of underlying molecular interactions during various biological events.


Asunto(s)
Redes Reguladoras de Genes , Imagen Individual de Molécula , Transcripción Genética
2.
Nat Methods ; 19(12): 1558-1562, 2022 12.
Artículo en Inglés | MEDLINE | ID: mdl-36357695

RESUMEN

The MS2 and MS2-coat protein (MS2-MCP) imaging system is widely used to study messenger RNA (mRNA) spatial distribution in living cells. Here, we report that the MS2-MCP system destabilizes some tagged mRNAs by activating the nonsense-mediated mRNA decay pathway. We introduce an improved version, which counteracts this effect by increasing the efficiency of translation termination of the tagged mRNAs. Improved versions were developed for both yeast and mammalian systems.


Asunto(s)
Proteínas de la Cápside , Saccharomyces cerevisiae , Animales , Proteínas de la Cápside/genética , Saccharomyces cerevisiae/genética , Saccharomyces cerevisiae/metabolismo , ARN Mensajero/genética , ARN Mensajero/metabolismo , Biosíntesis de Proteínas , Regulación de la Expresión Génica , Estabilidad del ARN , Mamíferos/genética
3.
Methods Mol Biol ; 2784: 45-58, 2024.
Artículo en Inglés | MEDLINE | ID: mdl-38502477

RESUMEN

The inherent stochastic processes governing gene expression give rise to heterogeneity across individual cells, highlighting the importance of single-cell studies. The emergence of single-molecule fluorescent in situ hybridization (smFISH) enabled gene expression analysis at the single-cell level while including the spatial dimension through the visualization and quantification of mRNAs in intact fixed cells. By combining smFISH with immunofluorescence (IF), a comprehensive approach takes shape facilitating the study of mRNAs and proteins to correlate gene expression profiles to different cellular states. This chapter serves as a comprehensive guide to a smFISH-IF protocol optimized for gene expression analysis in the budding yeast S. cerevisiae. We utilize smFISH to visualize the mRNA localization pattern of the CLB2 cyclin over the course of the cell cycle inferred by alpha-tubulin IF.


Asunto(s)
ARN , Saccharomycetales , Saccharomyces cerevisiae/genética , Hibridación Fluorescente in Situ/métodos , Saccharomycetales/genética , ARN Mensajero/genética , ARN Mensajero/análisis , Técnica del Anticuerpo Fluorescente
4.
Data Brief ; 30: 105511, 2020 Jun.
Artículo en Inglés | MEDLINE | ID: mdl-32368581

RESUMEN

Single-molecule fluorescent in situ hybridization (smFISH) has emerged as a powerful technique that allows one to localize and quantify the absolute number of mRNAs in single cells. In combination with immunofluorescence (IF), smFISH can be used to correlate the expression of an mRNA and a protein of interest in single cells. Here, we provide and quantify an smFISH-IF dataset in S. cerevisiae. We measured the expression of the cell cycle-controlled mRNA CLN2 and the cell cycle marker alpha-tubulin. The smFISH-IF protocol describing the dataset generation is published in the accompanying article "Simultaneous detection of mRNA and protein in S. cerevisiae by single-molecule FISH and Immunofluorescence" [1]. Here, we analyze the smFISH data using the freely available software FISH-quant [2]. The provided datasets are intended to assist scientists interested in setting up smFISH-IF protocol in their laboratory. Furthermore, scientists interested in the generation of imaging analysis tools for single-cell approaches may find the provided dataset useful. To this end, we provide the differential interference contrast (DIC) channel, as well as multicolor, raw Z-stacks for smFISH, IF and DAPI.

SELECCIÓN DE REFERENCIAS
DETALLE DE LA BÚSQUEDA