Cargando…

High-resolution imaging of protein secretion at the single-cell level using plasmon-enhanced FluoroDOT assay

Secreted proteins mediate essential physiological processes. With conventional assays, it is challenging to map the spatial distribution of proteins secreted by single cells, to study cell-to-cell heterogeneity in secretion, or to detect proteins of low abundance or incipient secretion. Here, we int...

Descripción completa

Detalles Bibliográficos
Autores principales: Seth, Anushree, Mittal, Ekansh, Luan, Jingyi, Kolla, Samhitha, Mazer, Monty B., Joshi, Hemant, Gupta, Rohit, Rathi, Priya, Wang, Zheyu, Morrissey, Jeremiah J., Ernst, Joel D., Portal-Celhay, Cynthia, Morley, Sharon Celeste, Philips, Jennifer A., Singamaneni, Srikanth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9421537/
https://www.ncbi.nlm.nih.gov/pubmed/36046626
http://dx.doi.org/10.1016/j.crmeth.2022.100267
Descripción
Sumario:Secreted proteins mediate essential physiological processes. With conventional assays, it is challenging to map the spatial distribution of proteins secreted by single cells, to study cell-to-cell heterogeneity in secretion, or to detect proteins of low abundance or incipient secretion. Here, we introduce the “FluoroDOT assay,” which uses an ultrabright nanoparticle plasmonic-fluor that enables high-resolution imaging of protein secretion. We find that plasmonic-fluors are 16,000-fold brighter, with nearly 30-fold higher signal-to-noise compared with conventional fluorescence labels. We demonstrate high-resolution imaging of different secreted cytokines in the single-plexed and spectrally multiplexed FluoroDOT assay that revealed cellular heterogeneity in secretion of multiple proteins simultaneously. Using diverse biochemical stimuli, including Mycobacterium tuberculosis infection, and a variety of immune cells such as macrophages, dendritic cells (DCs), and DC-T cell co-culture, we demonstrate that the assay is versatile, facile, and widely adaptable for enhancing biological understanding of spatial and temporal dynamics of single-cell secretome.