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

scholarly journals Pluripotency gene network dynamics: System views from parametric analysis

PLoS ONE ◽  
2018 ◽  
Vol 13 (3) ◽  
pp. e0194464 ◽  
Author(s):  
Ilya R. Akberdin ◽  
Nadezda A. Omelyanchuk ◽  
Stanislav I. Fadeev ◽  
Natalya E. Leskova ◽  
Evgeniya A. Oschepkova ◽  
...  
Keyword(s):  
Parametric Analysis ◽  
Gene Network ◽  
Network Dynamics ◽  
Pluripotency Gene

scholarly journals Gene network dynamics controlling keratinocyte migration

2008 ◽  
Vol 4 (1) ◽  
pp. 199 ◽  
Author(s):  
Hauke Busch ◽  
David Camacho‐Trullio ◽  
Zbigniew Rogon ◽  
Kai Breuhahn ◽  
Peter Angel ◽  
...  
Keyword(s):  
Gene Network ◽  
Network Dynamics ◽  
Keratinocyte Migration

Microfluidic Devices for the Analysis of Single Cells: Leaving No Protein Uncounted

2007 ◽  
Vol 2007 (388) ◽  
pp. pe29-pe29 ◽  
Author(s):  
M. Navratil ◽  
C. E. Whiting ◽  
E. A. Arriaga
Keyword(s):  
Single Cells ◽  
Microfluidic Devices

High-throughput, deterministic single cell trapping and long-term clonal cell culture in microfluidic devices

Lab on a Chip ◽  
2015 ◽  
Vol 15 (4) ◽  
pp. 1072-1083 ◽  
Author(s):  
Huaying Chen ◽  
Jane Sun ◽  
Ernst Wolvetang ◽  
Justin Cooper-White
Keyword(s):  
High Throughput ◽  
Clonal Growth ◽  
Single Cells ◽  
Microfluidic Devices ◽  
Design Development ◽  
Cell Trapping ◽  
Single Cell Trapping ◽  
Development And Validation

In this paper, the design, development and validation of a novel high throughput microfluidic device enabling both the robust and rapid trapping of 100's to 1000's of single cells and their in situ clonal growth is described.

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.

Single-cell assay on microfluidic devices

The Analyst ◽  
2019 ◽  
Vol 144 (3) ◽  
pp. 808-823 ◽  
Author(s):  
Qiushi Huang ◽  
Sifeng Mao ◽  
Mashooq Khan ◽  
Jin-Ming Lin
Keyword(s):  
Single Cell ◽  
Single Cells ◽  
Microfluidic Devices ◽  
Cell Populations ◽  
Cell Assay

Advances in microfluidic techniques have prompted researchers to study the inherent heterogeneity of single cells in cell populations.

Gene network dynamics and the evolution of development

2000 ◽  
Vol 15 (12) ◽  
pp. 479-480 ◽  
Author(s):  
Ricard V. Solé ◽  
Isaac Salazar-Ciudad ◽  
Stuart A. Newman
Keyword(s):  
Gene Network ◽  
Network Dynamics ◽  
Evolution Of Development

scholarly journals Backward evolution from gene network dynamics

2018 ◽  
Author(s):  
Merzu Kebede Belete ◽  
Daniel A. Charlebois ◽  
Gábor Balázsi
Keyword(s):  
Population Dynamics ◽  
Gene Regulatory Network ◽  
Gene Regulatory Networks ◽  
Regulatory Network ◽  
Gene Network ◽  
Regulatory Networks ◽  
Network Dynamics ◽  
Regulator Gene ◽  
Gene Regulatory ◽  
Population Fitness

AbstractGene expression is controlled by regulator genes that together with effector genes form gene regulatory networks. How mutation in the genes comprising gene regulatory networks influences cell population dynamics has not been adequately investigated. In this study, we develop mathematical models to study how a mutation in a regulator gene that reaches the effector gene with a time delay affects short-term and long-term population growth. Using theory and experiment, we find a paradoxical outcome of evolution where a mutation in a regulator gene leads to an interaction between gene regulatory network and population dynamics, causing in certain cases a permanent decrease in population fitness in a constant environment.Significance StatementThe properties of a cell are largely the products of its proteins, synthesized at rates depending on the regulation of protein coding genes. Single-cell measurements show that genetically identical cells can differ radically in their protein levels, partially due to the random production and degradation of proteins. It is currently unknown how mutants arise and spread in populations affected by such biological variability. We use computer simulations and evolution experiments to study how a mutant spreads in a population that carries a synthetic drug resistance gene network. Our results show for the first time a paradoxical outcome of evolution, where an initially beneficial mutation can interact with gene regulatory network dynamics and cause a permanent decrease in population fitness in the same environment.

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