journal article·2026-03Open access

Coincident Fluorescence‐Burst Analysis of Actin Cargo Molecules in Secreted Single Diffusing Extracellular Vesicles From Human Induced Pluripotent Stem Cells

Dang Du Nguyen, Aleksandr Barulin, Won Jong Yu, Jong‐Chan Park, Inki Kim

Advanced Science· Volume 13· Issue 13

Abstract

ABSTRACT Extracellular vesicles (EVs) mediate cellular communication via cargoes of nucleic acids, proteins, and miRNAs, and play key roles in neurodegeneration. However, quantification of specific cargo changes in EVs is challenging due to their small size and heterogeneity. Here, we develop a two‐color fluorescence cross‐correlation spectroscopy (FCCS) and coincident‐burst analysis platform to quantify actin‐enhanced green fluorescent protein and micro red fluorescent protein dual‐labeled EVs secreted from human induced pluripotent stem cells in undifferentiated, partially differentiated, and amyloid beta‐treated conditions. First, a two‐color time trace with pulsed interleaved excitation reveals a markedly increased actin green fluorescent protein burst frequency in EVs derived from partially differentiated cells compared with undifferentiated ones, suggesting altered secretion dynamics under stress. Second, FCCS analysis directly confirms the loading yield elevation based on coincident‐burst analysis of single EVs derived under a partially differentiated condition, indicating enhanced packaging of actin cargo into EVs. Third, the proposed methodology directly quantifies the EV size and the number of actin molecules carried to serve as biogenesis patterns linked to neurodegenerative pathology. Altogether, our platform offers a quantitative, highly specific tool to monitor cytoskeletal disruption via EVs and uncover molecular changes in neuronal differentiation, which is critical for developing therapies for neurological disorders.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Extracellular vesicles in disease · RNA Research and Splicing · Nanoplatforms for cancer theranostics

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Biophysics Institute of Quantum Biophysics Sungkyunkwan University Suwon Republic of Korea

Department of Intelligent Precision Healthcare Convergence Sungkyunkwan University Suwon Republic of Korea

Moscow Center for Advanced Studies Moscow Russia

Department of MetaBioHealth Sungkyunkwan University Suwon Republic of Korea

Department of Biopharmaceutical Convergence Sungkyunkwan University Suwon Republic of Korea

Funding

Ministry of Science and Higher Education of the Russian Federation

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