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1.
Mol Biol Cell ; 35(7): ar100, 2024 Jul 01.
Artículo en Inglés | MEDLINE | ID: mdl-38809580

RESUMEN

Fluorescent protein (FP) tags are extensively used to visualize and characterize the properties of biomolecular condensates despite a lack of investigation into the effects of these tags on phase separation. Here, we characterized the dynamic properties of µNS, a viral protein hypothesized to undergo phase separation and the main component of mammalian orthoreovirus viral factories. Our interest in the sequence determinants and nucleation process of µNS phase separation led us to compare the size and density of condensates formed by FP::µNS to the untagged protein. We found an FP-dependent increase in droplet size and density, which suggests that FP tags can promote µNS condensation. To further assess the effect of FP tags on µNS droplet formation, we fused FP tags to µNS mutants to show that the tags could variably induce phase separation of otherwise noncondensing proteins. By comparing fluorescent constructs with untagged µNS, we identified mNeonGreen as the least artifactual FP tag that minimally perturbed µNS condensation. These results show that FP tags can promote phase separation and that some tags are more suitable for visualizing and characterizing biomolecular condensates with minimal experimental artifacts.


Asunto(s)
Proteínas Luminiscentes , Proteínas Luminiscentes/metabolismo , Proteínas Luminiscentes/genética , Proteínas Virales/metabolismo , Condensados Biomoleculares/metabolismo , Proteínas Fluorescentes Verdes/metabolismo , Reoviridae/metabolismo , Reoviridae/fisiología
2.
bioRxiv ; 2023 Dec 06.
Artículo en Inglés | MEDLINE | ID: mdl-38105945

RESUMEN

Femto-seq is a novel nanoscale optical method that can be used to obtain DNA sequence information from targeted regions around a specific locus or other nuclear regions of interest. Two-photon excitation is used to photobiotinylate femtoliter volumes of chromatin within the nucleus, allowing for subsequent isolation and sequencing of DNA, and bioinformatic mapping of any nuclear region of interest in a select set of cells from a heterogenous population.

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