Microfluidic flow-encoded switching for parallel control of dynamic cellular microenvironments

Lab on a Chip ◽  
2008 ◽  
Vol 8 (1) ◽  
pp. 107-116 ◽  
Author(s):  
Kevin R. King ◽  
Sihong Wang ◽  
Arul Jayaraman ◽  
Martin L. Yarmush ◽  
Mehmet Toner
2011 ◽  
Vol 6 (2) ◽  
pp. 141-145 ◽  
Author(s):  
Gabriel Salazar ◽  
Marta Fragoso ◽  
Luis Vergez ◽  
Piera Sergio ◽  
Denisse Cuello

2006 ◽  
Vol 78 (5) ◽  
pp. 1657-1664 ◽  
Author(s):  
Khanh C. Hoang ◽  
Dmitry Malakhov ◽  
William E. Momsen ◽  
Howard L. Brockman

Life ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 515
Author(s):  
Andrea Cugno ◽  
Alex Marki ◽  
Klaus Ley

Leukocytes, including neutrophils, which are propelled by blood flow, can roll on inflamed endothelium using transient bonds between selectins and their ligands, and integrins and their ligands. When such receptor–ligand bonds last long enough, the leukocyte microvilli become extended and eventually form thin, 20 m long tethers. Tether formation can be observed in blood vessels in vivo and in microfluidic flow chambers. Tethers can also be extracted using micropipette aspiration, biomembrane force probe, optical trap, or atomic force microscopy approaches. Here, we review the biomechanical properties of leukocyte tethers as gleaned from such measurements and discuss the advantages and disadvantages of each approach. We also review and discuss viscoelastic models that describe the dependence of tether formation on time, force, rate of loading, and cell activation. We close by emphasizing the need to combine experimental observations with quantitative models and computer simulations to understand how tether formation is affected by membrane tension, membrane reservoir, and interactions of the membrane with the cytoskeleton.


2021 ◽  
Vol 25 (4) ◽  
Author(s):  
Hongyu Yang ◽  
Yuanchen Wei ◽  
Beiyuan Fan ◽  
Lixing Liu ◽  
Ting Zhang ◽  
...  

2021 ◽  
Vol 22 (3) ◽  
pp. 1160
Author(s):  
Ganesan Raja ◽  
Haripriya Gupta ◽  
Yoseph Asmelash Gebru ◽  
Gi Soo Youn ◽  
Ye Rin Choi ◽  
...  

Advances in high-throughput screening of metabolic stability in liver and gut microbiota are able to identify and quantify small-molecule metabolites (metabolome) in different cellular microenvironments that are closest to their phenotypes. Metagenomics and metabolomics are largely recognized to be the “-omics” disciplines for clinical therapeutic screening. Here, metabolomics activity screening in liver disease (LD) and gut microbiomes has significantly delivered the integration of metabolomics data (i.e., a set of endogenous metabolites) with metabolic pathways in cellular environments that can be tested for biological functions (i.e., phenotypes). A growing literature in LD and gut microbiomes reports the use of metabolites as therapeutic targets or biomarkers. Although growing evidence connects liver fibrosis, cirrhosis, and hepatocellular carcinoma, the genetic and metabolic factors are still mainly unknown. Herein, we reviewed proof-of-concept mechanisms for metabolomics-based LD and gut microbiotas’ role from several studies (nuclear magnetic resonance, gas/lipid chromatography, spectroscopy coupled with mass spectrometry, and capillary electrophoresis). A deeper understanding of these axes is a prerequisite for optimizing therapeutic strategies to improve liver health.


ACS Omega ◽  
2020 ◽  
Author(s):  
Shaoxin Deng ◽  
Cheng-Xing Cui ◽  
Lingyao Duan ◽  
Linfeng Hu ◽  
Xiaoxun Yang ◽  
...  

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