Nature MethodsBioengineeringPeer-reviewed journal article
Light-induced Extracellular Vesicle Adsorption
Colin L. HiseyiD, Xilal Y. RimaiD, Jacob Doon‐RallsiD, Chiranth K. NagarajiD, Sophia Mayone, Kim Truc NguyeniD, Sydney WigginsiD, Kalpana Deepa Priya DorayappaniD, Xin HuangiD, Mangesh Dattu HadeiD, Karuppaiyah SelvendiraniD, James N. HigginbothamiD, Oleg S. TutanoviD, Jeffrey L. FrankliniD, Robert J. CoffeyiD, David A. WoodiD, Chunyu Hu, Divya S. PateliD, Setty M. MagañaiD, Andre Francis PalmeriD, Derek J. HansfordiD, Eduardo ReáteguiiD
Abstract
The role of extracellular vesicles (EVs) in human health and disease has garnered considerable attention over the past two decades. However, while several types of EVs are known to interact dynamically with the extracellular matrix and there is great potential value in producing high-fidelity EV micropatterns, there are currently no label-free, high-resolution, and tunable platform technologies with this capability. We introduce Light-induced Extracellular Vesicle Adsorption (LEVA) as a powerful solution to rapidly advance the study of matrix- and surface-bound EVs and other particles. The versatility of LEVA is demonstrated using commercial GFP-EV standards, EVs from glioblastoma bioreactors, and E. coli outer membrane vesicles (OMVs), with the resulting patterns used for single EV characterization, single cell migration on migrasome-mimetic trails, and OMV-mediated neutrophil swarming. LEVA will enable rapid advancements in the study of matrix- and surface-bound EVs and other particles, and should encourage researchers from many disciplines to create novel diagnostic, biomimetic, immunoengineering, and therapeutic screening assays.
- organism: human
- organism: E. coli
- research focus: cell type annotation
- research focus: cell signaling & trafficking
- research focus: drug response / drug discovery
- research focus: protein structure prediction
- approach: experimental assay
- Citations
- 6
- FWCI
- 1.44
- Field percentile
- top 18%
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