PDMS Microwell Stencil Based Multiplexed Single‐Cell Secretion Analysis

PROTEOMICS ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 1900231 ◽  
Author(s):  
Meimei Liu ◽  
Meihua Jin ◽  
Linmei Li ◽  
Yahui Ji ◽  
Fengjiao Zhu ◽  
...  
Keyword(s):  
Nanophotonics ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. 1081-1086 ◽  
Author(s):  
Abdoulaye Ndao ◽  
Liyi Hsu ◽  
Wei Cai ◽  
Jeongho Ha ◽  
Junhee Park ◽  
...  

AbstractOne of the key challenges in biology is to understand how individual cells process information and respond to perturbations. However, most of the existing single-cell analysis methods can only provide a glimpse of cell properties at specific time points and are unable to provide cell secretion and protein analysis at single-cell resolution. To address the limits of existing methods and to accelerate discoveries from single-cell studies, we propose and experimentally demonstrate a new sensor based on bound states in the continuum to quantify exosome secretion from a single cell. Our optical sensors demonstrate high-sensitivity refractive index detection. Because of the strong overlap between the medium supporting the mode and the analytes, such an optical cavity has a figure of merit of 677 and sensitivity of 440 nm/RIU. Such results facilitate technological progress for highly conducive optical sensors for different biomedical applications.


2018 ◽  
Vol 115 (52) ◽  
pp. 13204-13209 ◽  
Author(s):  
José Juan-Colás ◽  
Ian S. Hitchcock ◽  
Mark Coles ◽  
Steven Johnson ◽  
Thomas F. Krauss

Cell communication is primarily regulated by secreted proteins, whose inhomogeneous secretion often indicates physiological disorder. Parallel monitoring of innate protein-secretion kinetics from individual cells is thus crucial to unravel systemic malfunctions. Here, we report a label-free, high-throughput method for parallel, in vitro, and real-time analysis of specific single-cell signaling using hyperspectral photonic crystal resonant technology. Heterogeneity in physiological thrombopoietin expression from individual HepG2 liver cells in response to platelet desialylation was quantified demonstrating how mapping real-time protein secretion can provide a simple, yet powerful approach for studying complex physiological systems regulating protein production at single-cell resolution.


1998 ◽  
Vol 839 (1 TRENDS IN COM) ◽  
pp. 546-548 ◽  
Author(s):  
JACCO R. LIESTE ◽  
WIM J.J.M. SCHEENEN ◽  
BRUCE G. JENKS ◽  
ERIC W. ROUBOS
Keyword(s):  

2021 ◽  
Author(s):  
Meimei Liu ◽  
Yahui Ji ◽  
Fengjiao Zhu ◽  
Xue Bai ◽  
Linmei Li ◽  
...  

AbstractDespite advances in single-cell secretion analysis technologies, lacking simple methods to reliably keep the live single-cells traceable for longitudinal detection poses a significant obstacle. Here we developed the high-density NOMA (narrow-opening microwell array) microchip that realized the retention of ≥97% of trapped single cells during repetitive detection procedures, regardless of adherent or suspension cells. We demonstrated its use to decode the correlation of protein abundance between secreted extracellular vesicles (EVs) and its donor cells at the same single-cell level, in which we found that these two were poorly correlated with each other. We further applied it in monitoring single-cell protein secretions sequentially from the same single cells. Notably, we observed the digital protein secretion patterns dominate the protein secretion. We also applied the microchip for longitudinally tracking of the single-cell integrative secretions over days, which revealed the presence of “super secretors” within the cell population that could be more persistent to secrete protein or extracellular vesicle for an extended period. The NOMA platform reported here is simple, robust, and easy to operate for realizing sequential measurements from the same single cells, representing a novel and informative tool to inspire new observations in biomedical research.


2019 ◽  
Vol 144 ◽  
pp. 111639 ◽  
Author(s):  
Shih-Chung Wei ◽  
Myat Noe Hsu ◽  
Chia-Hung Chen
Keyword(s):  

2020 ◽  
Vol 155 ◽  
pp. 112113 ◽  
Author(s):  
Amin Hassanzadeh-Barforoushi ◽  
Majid Ebrahimi Warkiani ◽  
David Gallego-Ortega ◽  
Guozhen Liu ◽  
Tracie Barber
Keyword(s):  

Endocrinology ◽  
1996 ◽  
Vol 137 (7) ◽  
pp. 2979-2989 ◽  
Author(s):  
P Thomas ◽  
P L Mellon ◽  
J Turgeon ◽  
D W Waring

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