Simple visualization of submicroscopic protein clusters with a phase-separation-based fluorescent reporter

Copyright © 2024 Elsevier Inc. All rights reserved..

Protein clustering plays numerous roles in cell physiology and disease. However, protein oligomers can be difficult to detect because they are often too small to appear as puncta in conventional fluorescence microscopy. Here, we describe a fluorescent reporter strategy that detects protein clusters with high sensitivity called CluMPS (clusters magnified by phase separation). A CluMPS reporter detects and visually amplifies even small clusters of a binding partner, generating large, quantifiable fluorescence condensates. We use computational modeling and optogenetic clustering to demonstrate that CluMPS can detect small oligomers and behaves rationally according to key system parameters. CluMPS detected small aggregates of pathological proteins where the corresponding GFP fusions appeared diffuse. CluMPS also detected and tracked clusters of unmodified and tagged endogenous proteins, and orthogonal CluMPS probes could be multiplexed in cells. CluMPS provides a powerful yet straightforward approach to observe higher-order protein assembly in its native cellular context. A record of this paper's transparent peer review process is included in the supplemental information.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:15

Enthalten in:

Cell systems - 15(2024), 2 vom: 21. Feb., Seite 166-179.e7

Sprache:

Englisch

Beteiligte Personen:

Mumford, Thomas R [VerfasserIn]
Rae, Diarmid [VerfasserIn]
Brackhahn, Emily [VerfasserIn]
Idris, Abbas [VerfasserIn]
Gonzalez-Martinez, David [VerfasserIn]
Pal, Ayush Aditya [VerfasserIn]
Chung, Michael C [VerfasserIn]
Guan, Juan [VerfasserIn]
Rhoades, Elizabeth [VerfasserIn]
Bugaj, Lukasz J [VerfasserIn]

Links:

Volltext

Themen:

Clusters
Condensates
Fluorescent
Journal Article
Oligomers
Optogenetics
Phase-separation
Proteins
Puncta
Reporter
Sensor
Stochastic modeling

Anmerkungen:

Date Completed 26.02.2024

Date Revised 20.03.2024

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1016/j.cels.2024.01.005

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM368254437