scholarly journals Sequential Cell-Processing System by Integrating Hydrodynamic Purification and Dielectrophoretic Trapping for Analyses of Suspended Cancer Cells

Micromachines ◽  
2019 ◽  
Vol 11 (1) ◽  
pp. 47 ◽  
Author(s):  
Jongho Park ◽  
Takayuki Komori ◽  
Toru Uda ◽  
Keiichi Miyajima ◽  
Teruo Fujii ◽  
...  
Keyword(s):  
Cancer Cells ◽  
Lateral Displacement ◽  
Single Cells ◽  
Processing System ◽  
Microfluidic Devices ◽  
Integrated System ◽  
Suspended Cell ◽  
Cell Processing ◽  
Microwell Array ◽  
Complex Preparation

Microfluidic devices employing dielectrophoresis (DEP) have been widely studied and applied in the manipulation and analysis of single cells. However, several pre-processing steps, such as the preparation of purified target samples and buffer exchanges, are necessary to utilize DEP forces for suspended cell samples. In this paper, a sequential cell-processing device, which is composed of pre-processing modules that employ deterministic lateral displacement (DLD) and a single-cell trapping device employing an electroactive microwell array (EMA), is proposed to perform the medium exchange followed by arraying single cells sequentially using DEP. Two original microfluidic devices were efficiently integrated by using the interconnecting substrate containing rubber gaskets that tightly connect the inlet and outlet of each device. Prostate cancer cells (PC3) suspended in phosphate-buffered saline buffer mixed with microbeads were separated and then resuspended into the DEP buffer in the integrated system. Thereafter, purified PC3 cells were trapped in a microwell array by using the positive DEP force. The achieved separation and trapping efficiencies exceeded 94% and 93%, respectively, when using the integrated processing system. This study demonstrates an integrated microfluidic device by processing suspended cell samples, without the requirement of complex preparation steps.

Semiconductor Quantum Dots for Multicolor Fluorescence Imaging and Spectroscopy of Single Cancer Cells

2003 ◽  
Vol 773 ◽  
Author(s):  
Xiaohu Gao ◽  
Shuming Nie ◽  
Wallace H. Coulter
Keyword(s):  
Quantum Dots ◽  
Cancer Cells ◽  
Fluorescence Imaging ◽  
Organic Dyes ◽  
Fluorescent Proteins ◽  
Single Cells ◽  
Quantitative Imaging ◽  
Semiconductor Quantum Dots ◽  
Single Cancer ◽  
Imaging And Spectroscopy

AbstractLuminescent quantum dots (QDs) are emerging as a new class of biological labels with unique properties and applications that are not available from traditional organic dyes and fluorescent proteins. Here we report new developments in using semiconductor quantum dots for quantitative imaging and spectroscopy of single cancer cells. We show that both live and fixed cells can be labeled with multicolor QDs, and that single cells can be analyzed by fluorescence imaging and wavelength-resolved spectroscopy. These results raise new possibilities in cancer imaging, molecular profiling, and disease staging.

scholarly journals Microfluidic devices for measuring gene network dynamics in single cells

2009 ◽  
Vol 10 (9) ◽  
pp. 628-638 ◽  
Author(s):  
Matthew R. Bennett ◽  
Jeff Hasty
Keyword(s):  
Gene Network ◽  
Single Cells ◽  
Network Dynamics ◽  
Microfluidic Devices

C3N4 Nanosheet Modified Microwell Array with Enhanced Electrochemiluminescence for Total Analysis of Cholesterol at Single Cells

2017 ◽  
Vol 89 (4) ◽  
pp. 2216-2220 ◽  
Author(s):  
Jingjing Xu ◽  
Depeng Jiang ◽  
Yanling Qin ◽  
Juan Xia ◽  
Dechen Jiang ◽  
...  
Keyword(s):  
Single Cells ◽  
Microwell Array ◽  
Total Analysis

scholarly journals Detection and time-tracking activation of a photosensitiser on live single colorectal cancer cells using Raman spectroscopy

The Analyst ◽  
2020 ◽  
Vol 145 (17) ◽  
pp. 5878-5888
Author(s):  
Julia Gala de Pablo ◽  
David R. Chisholm ◽  
Carrie A. Ambler ◽  
Sally A. Peyman ◽  
Andrew Whiting ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Raman Spectroscopy ◽  
Cancer Cells ◽  
Cell Response ◽  
Single Cells ◽  
Colorectal Cancer Cells

Tracking of the accumulation, activation, degradation of a photosensitiser and cell response in live colorectal cancer single-cells using Raman spectroscopy.

scholarly journals Characterizing Intercellular Communication of Pan-Cancer Reveals SPP1+ Tumor-Associated Macrophage Expanded in Hypoxia and Promoting Cancer Malignancy Through Single-Cell RNA-Seq Data

2021 ◽  
Vol 9 ◽  
Author(s):  
Jinfen Wei ◽  
Zixi Chen ◽  
Meiling Hu ◽  
Ziqing He ◽  
Dawei Jiang ◽  
...  
Keyword(s):  
Single Cell ◽  
Cancer Cells ◽  
Cancer Progression ◽  
Epithelial Mesenchymal Transition ◽  
Single Cells ◽  
Matrix Remodeling ◽  
Rna Seq ◽  
Mesenchymal Transition ◽  
Tumor Associated Macrophage ◽  
Cancer Types

Hypoxia is a characteristic of tumor microenvironment (TME) and is a major contributor to tumor progression. Yet, subtype identification of tumor-associated non-malignant cells at single-cell resolution and how they influence cancer progression under hypoxia TME remain largely unexplored. Here, we used RNA-seq data of 424,194 single cells from 108 patients to identify the subtypes of cancer cells, stromal cells, and immune cells; to evaluate their hypoxia score; and also to uncover potential interaction signals between these cells in vivo across six cancer types. We identified SPP1+ tumor-associated macrophage (TAM) subpopulation potentially enhanced epithelial–mesenchymal transition (EMT) by interaction with cancer cells through paracrine pattern. We prioritized SPP1 as a TAM-secreted factor to act on cancer cells and found a significant enhanced migration phenotype and invasion ability in A549 lung cancer cells induced by recombinant protein SPP1. Besides, prognostic analysis indicated that a higher expression of SPP1 was found to be related to worse clinical outcome in six cancer types. SPP1 expression was higher in hypoxia-high macrophages based on single-cell data, which was further validated by an in vitro experiment that SPP1 was upregulated in macrophages under hypoxia-cultured compared with normoxic conditions. Additionally, a differential analysis demonstrated that hypoxia potentially influences extracellular matrix remodeling, glycolysis, and interleukin-10 signal activation in various cancer types. Our work illuminates the clearer underlying mechanism in the intricate interaction between different cell subtypes within hypoxia TME and proposes the guidelines for the development of therapeutic targets specifically for patients with high proportion of SPP1+ TAMs in hypoxic lesions.

Ovarian Cancer Cell Invasiveness Correlates With Increased Cell Deformability

2012 ◽  
Author(s):  
Wenwei Xu ◽  
Roman Mezencev ◽  
Byungkyu Kim ◽  
Lijuan Wang ◽  
John McDonald ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Cancer Cells ◽  
Single Cells ◽  
Metastatic Cancer ◽  
Ovarian Surface Epithelium ◽  
Surface Epithelium ◽  
Ovarian Cancer Cells ◽  
Cell Deformability ◽  
Ovarian Cells ◽  
And Migration

Cancer cells undergo a variety of biochemical and biophysical transformations when compared to identical cells displaying a healthy phenotypic state, cancer cells show a drastic reduction of stiffness upon malignancy[1, 2] and change of stiffness of single cells can indicate the presence of disease [3–6]. Besides, metastatic cancer has a higher deformability than their benign counterparts[7, 8]. Using atomic force microscopy, we demonstrated that cancerous ovarian cells (OVCAR3, OVCAR4, HEY and HEYA8) are substantially softer than the healthy immortalized ovarian surface epithelium (IOSE) cells. In addition, within the different types of cancerous ovarian cells, increased invasiveness and migration are directly correlated with increased cell deformability. These results indicate that stiffness of individual cells can distinguish not only ovarian cancer cells from healthy cells types, but also invasive cancer types from less invasive types. Stiffness may provide an alternative and convenient biomarker to grade the metastasis potential of cancer cells.

ON THE MODIFICATION OF FRACTAL SELF-SPACE DURING CELL DIFFERENTIATION OR TUMOR PROGRESSION

Fractals ◽  
2000 ◽  
Vol 08 (02) ◽  
pp. 195-203 ◽  
Author(s):  
PRZEMYSLAW WALISZEWSKI ◽  
JERZY KONARSKI ◽  
MARCIN MOLSKI
Keyword(s):  
Tumor Progression ◽  
Cancer Cells ◽  
Expansion Coefficient ◽  
Single Cells ◽  
Collective State ◽  
Global Features ◽  
Box Counting ◽  
2D System ◽  
Box Counting Method ◽  
Dynamic Relationships

A novel parameter called expansion coefficient has been defined to measure both connectivity and collectivity in a population of cells conquering the available space and self-organizing into tissue patterns of the higher order. Connectivity (i.e. interconnectedness) denotes that there are complex dynamic relationships, not just structural, static ones, in a population of cells enabling the emergence of global features in the system that would never appear in single cells existing out of the system. Collectivity denotes that all interconnected cells interact in a common mode. Evolution of this coefficient during differentiation or tumor progression was investigated by the box-counting method. The population of control or retinoid-treated primary cancer cells cultured in the monolayer (i.e. quasi-2D) system possessed fractal dimension and self-similarity. However, the expansion coefficient was close to zero, indicating that connectivity was low, and no collective state emerged. A significant change of the coefficient occurred when primary cells formed aggregates, quasi-3D systems with increased connectivity, and during treatment of the aggregates with retinoid resulting in a collective state (i.e. in differentiation of cells). Those statistical features were lost during tumor progression. All populations of the secondary cancer cells possessed integer dimension and the expansion coefficient was equal to zero.

Selective Trapping and Retrieval of Single Cells Using Microwell Array Devices Combined with Dielectrophoresis

2020 ◽  
Vol MA2020-02 (68) ◽  
pp. 3601-3601
Author(s):  
Misaki Hata ◽  
Masato Suzuki ◽  
Tomoyuki Yasukawa
Keyword(s):  
Single Cells ◽  
Microwell Array
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