scholarly journals Quantifying single-cell secretion in real time using resonant hyperspectral imaging

2018 ◽  
Vol 115 (52) ◽  
pp. 13204-13209 ◽  
Author(s):  
José Juan-Colás ◽  
Ian S. Hitchcock ◽  
Mark Coles ◽  
Steven Johnson ◽  
Thomas F. Krauss
Keyword(s):  
Single Cell ◽  
Real Time ◽  
Protein Secretion ◽  
Cell Communication ◽  
Label Free ◽  
Cell Secretion ◽  
Physiological Disorder ◽  
Real Time Analysis ◽  
Technology Heterogeneity

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.

scholarly journals Single Cell Analysis: Label-Free Optofluidic Nanobiosensor Enables Real-Time Analysis of Single-Cell Cytokine Secretion (Small 26/2018)

Small ◽  
2018 ◽  
Vol 14 (26) ◽  
pp. 1870119 ◽  
Author(s):  
Xiaokang Li ◽  
Maria Soler ◽  
Crispin Szydzik ◽  
Khashayar Khoshmanesh ◽  
Julien Schmidt ◽  
...  
Keyword(s):  
Single Cell ◽  
Real Time ◽  
Single Cell Analysis ◽  
Cytokine Secretion ◽  
Cell Analysis ◽  
Label Free ◽  
Time Analysis ◽  
Real Time Analysis

scholarly journals Advanced Biosensing towards Real-Time Imaging of Protein Secretion from Single Cells

2020 ◽  
Author(s):  
Lang Zhou ◽  
Pengyu Chen ◽  
Aleksandr Simonian
Keyword(s):  
Single Cell ◽  
Real Time ◽  
Protein Secretion ◽  
Intercellular Communication ◽  
Single Cells ◽  
Bone Marrow Failure ◽  
Cellular Protein ◽  
Label Free ◽  
Immune Effector ◽  
Real Time Imaging

Protein secretion of cells plays a vital role in intercellular communication. The abnormality and dysfunction of cellular protein secretion are associated with various physiological disorders, such as malignant proliferation of cells, aberrant immune function, and bone marrow failure. The heterogeneity of protein secretion exists not only between varying populations of cells, but also in the same phenotype of cells. Therefore, characterization of protein secretion from single cell contributes not only to the understanding of intercellular communication in immune effector, carcinogenesis and metastasis, but also to the development and improvement of diagnosis and therapy of relative diseases. In spite of abundant highly sensitive methods that have been developed for the detection of secreted proteins, majority of them fall short in providing sufficient spatial and temporal resolution for comprehensive profiling of protein secretion from single cells. The real-time imaging techniques allow rapid acquisition and manipulation of analyte information on a 2D plane, providing high spatiotemporal resolution. Here, we summarize recent advances in real-time imaging of secretory proteins from single cell, including label-free and labelling techniques, shedding light on the development of simple yet powerful methodology for real-time imaging of single-cell protein secretion.

Label-Free Optofluidic Nanobiosensor Enables Real-Time Analysis of Single-Cell Cytokine Secretion

Small ◽  
2018 ◽  
Vol 14 (26) ◽  
pp. 1800698 ◽  
Author(s):  
Xiaokang Li ◽  
Maria Soler ◽  
Crispin Szydzik ◽  
Khashayar Khoshmanesh ◽  
Julien Schmidt ◽  
...  
Keyword(s):  
Single Cell ◽  
Real Time ◽  
Cytokine Secretion ◽  
Label Free ◽  
Time Analysis ◽  
Real Time Analysis

Plasmonic nanohole array biosensor for label-free and real-time analysis of live cell secretion

Lab on a Chip ◽  
2017 ◽  
Vol 17 (13) ◽  
pp. 2208-2217 ◽  
Author(s):  
Xiaokang Li ◽  
Maria Soler ◽  
Cenk I. Özdemir ◽  
Alexander Belushkin ◽  
Filiz Yesilköy ◽  
...  
Keyword(s):  
Cell Signaling ◽  
Real Time ◽  
Live Cell ◽  
Label Free ◽  
Cell Secretion ◽  
Time Analysis ◽  
Nanohole Array ◽  
Real Time Analysis ◽  
Array Biosensor

A new microfluidic-integrated nanoplasmonic biosensor for the study of cell signaling in a label-free and real-time manner.

A Novel Imaging Approach for Single-Cell Real-Time Analysis of Oncolytic Virus Replication and Efficacy in Cancer Cells

2021 ◽  
Vol 32 (3-4) ◽  
pp. 166-177
Author(s):  
Lorraine Quillien ◽  
Sokunthea Top ◽  
Sandrine Kappler-Gratias ◽  
Agathe Redouté ◽  
Nelson Dusetti ◽  
...  
Keyword(s):  
Single Cell ◽  
Cancer Cells ◽  
Real Time ◽  
Virus Replication ◽  
Oncolytic Virus ◽  
Time Analysis ◽  
Real Time Analysis ◽  
Imaging Approach

scholarly journals ZipSeq : Barcoding for Real-time Mapping of Single Cell Transcriptomes

2020 ◽  
Author(s):  
Kenneth H. Hu ◽  
John P. Eichorst ◽  
Chris S. McGinnis ◽  
David M. Patterson ◽  
Eric D. Chow ◽  
...  
Keyword(s):  
Gene Expression ◽  
Single Cell ◽  
Real Time ◽  
Dimensional Space ◽  
Single Cells ◽  
Expression Patterns ◽  
Live Cells ◽  
Glass Substrates ◽  
Complete Mapping

ABSTRACTSpatial transcriptomics seeks to integrate single-cell transcriptomic data within the 3-dimensional space of multicellular biology. Current methods use glass substrates pre-seeded with matrices of barcodes or fluorescence hybridization of a limited number of probes. We developed an alternative approach, called ‘ZipSeq’, that uses patterned illumination and photocaged oligonucleotides to serially print barcodes (Zipcodes) onto live cells within intact tissues, in real-time and with on-the-fly selection of patterns. Using ZipSeq, we mapped gene expression in three settings: in-vitro wound healing, live lymph node sections and in a live tumor microenvironment (TME). In all cases, we discovered new gene expression patterns associated with histological structures. In the TME, this demonstrated a trajectory of myeloid and T cell differentiation, from periphery inward. A variation of ZipSeq efficiently scales to the level of single cells, providing a pathway for complete mapping of live tissues, subsequent to real-time imaging or perturbation.

A simple microcomputer-based system for real-time analysis of cell behaviour

1987 ◽  
Vol 87 (1) ◽  
pp. 171-182
Author(s):  
J.A. Dow ◽  
J.M. Lackie ◽  
K.V. Crocket
Keyword(s):  
Real Time ◽  
Search Algorithm ◽  
Cell Types ◽  
Real Time Analysis ◽  
Lighting Conditions ◽  
Previous Frame ◽  
Real Time Tracking ◽  
Cell Densities ◽  
Different Cell Types

An image analysis package based on a BBC microcomputer has been developed, which can simultaneously track many moving cells in vitro. Cells (rabbit neutrophil leucocytes, BHK C13 fibroblasts, or PC12 phaeochromocytoma cells) are viewed under phase optics with a monochrome TV camera, and the signal digitized. Successive frames are acquired by the computer as a 640 X 256 pixel array. Under controlled lighting conditions, cells can readily be isolated from the background by binary filtering. In real-time tracking, the positions of a given cell in successive frames are obtained by searching the area around the cell's centroid in the previous frame. A simple box-search algorithm is described, which proves highly successful at low cell densities. The resilience of different search algorithms to various exceptional conditions (such as collisions) is discussed. The success of this system in real-time tracking is largely dependent upon the leisurely speed of movement of cells, and on obtaining a clean, high quality optical image to analyse. The limitations of this technique for different cell types, and the possible configurations of more sophisticated hardware, are outlined. This system provides a versatile and automated solution to the problem of studying the movement of tissue cells.

scholarly journals 2P332 Quantitative measurement of protein secretion from a single cell in real time(The 48th Annual Meeting of the Biophysical Society of Japan)

2010 ◽  
Vol 50 (supplement2) ◽  
pp. S141
Author(s):  
Yoshitaka Shirasaki ◽  
Mai Yamagishi ◽  
Asahi Nakamura ◽  
Yasuhiro Sasuga ◽  
Nobutake Suzuki ◽  
...  
Keyword(s):  
Single Cell ◽  
Real Time ◽  
Annual Meeting ◽  
Protein Secretion ◽  
Quantitative Measurement ◽  
Biophysical Society

Noninvasive label-free nanoplasmonic optical imaging for real-time monitoring of in vitro amyloid fibrogenesis

Nanoscale ◽  
2014 ◽  
Vol 6 (7) ◽  
pp. 3561-3565 ◽  
Author(s):  
Sung Sik Lee ◽  
Luke P. Lee
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Optical Imaging ◽  
Real Time ◽  
Label Free ◽  
Real Time Monitoring ◽  
Pathological Mechanism

We utilize nanoplasmonic optical imaging as the noninvasive and label-free method in order to monitorin vitroamyloid fibrogenesis in real-time, which is considered as the primary pathological mechanism of Alzheimer's disease.

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