Regulation of cell binding and entry by DNA origami mediated spatial distribution of aptamers

2020 ◽  
Vol 8 (31) ◽  
pp. 6802-6809 ◽  
Author(s):  
Ke Liu ◽  
Cong Xu ◽  
Jinyao Liu
Keyword(s):  
Spatial Distribution ◽  
Cancer Cells ◽  
Dna Origami ◽  
Cell Binding

Customizing the spatial distribution of aptamers on DNA origami nanoboxes can regulate the internalization and proliferation of cancer cells.

scholarly journals Spatial Distribution of Cellular Function: The Partitioning of Proteins between Mitochondria and the Nucleus in MCF7 Breast Cancer Cells

2012 ◽  
Vol 11 (12) ◽  
pp. 6080-6101 ◽  
Author(s):  
Amal T. Qattan ◽  
Marko Radulovic ◽  
Mark Crawford ◽  
Jasminka Godovac-Zimmermann
Keyword(s):  
Breast Cancer ◽  
Spatial Distribution ◽  
Cancer Cells ◽  
Breast Cancer Cells ◽  
Cellular Function

Su1983 Spatial Distribution of LGR5-Positive Cancer Cells in Mucosal Gastric Signet-Ring Cell Carcinoma

2015 ◽  
Vol 148 (4) ◽  
pp. S-567
Author(s):  
Nakajima Tomoyuki ◽  
Takeshi Uehara ◽  
Yasuhiro Maruyama ◽  
Hiroyoshi Ota
Keyword(s):  
Spatial Distribution ◽  
Cell Carcinoma ◽  
Cancer Cells ◽  
Signet Ring Cell Carcinoma ◽  
Signet Ring Cell ◽  
Signet Ring ◽  
Ring Cell

Aptamer-Tethered DNA Origami Amplifier for Sensitive and Accurate Imaging of Intracellular MicroRNAs

Nanoscale ◽  
2021 ◽  
Author(s):  
Chao Xing ◽  
Shan Chen ◽  
Qitian Lin ◽  
Yuhong Lin ◽  
Min Wang ◽  
...  
Keyword(s):  
Living Cells ◽  
Dna Origami ◽  
Cell Binding ◽  
Diagnosis And Prognosis ◽  
Accurate Detection ◽  
Enzyme Degradation ◽  
Accurate Imaging

Accurate detection and imaging of low-abundant microRNAs (miRNAs) in living cells are essential for diagnosis and prognosis of diseases. Designing nanoprobes with resistance to enzyme degradation and effective cell-binding as...

In-Vitro Study of Cancer Cell Binding and Photothermal Inhibition Efficiency by Gold Nanoparticles-Capped Iron Oxide Nanospheres

Nano LIFE ◽  
2019 ◽  
Vol 09 (01n02) ◽  
pp. 1940004
Author(s):  
Zi Yang ◽  
Haocheng Yang ◽  
Donglu Shi ◽  
Yilong Wang
Keyword(s):  
Gold Nanoparticles ◽  
Iron Oxide ◽  
Cancer Cells ◽  
Cancer Cell ◽  
Surface Charges ◽  
Cell Binding ◽  
Au Nps ◽  
Photothermal Property ◽  
Positively Charged

Different from the traditional cancer cell targeting through protein biomarkers, strong negative surface charges of cancer cells over normal cells derived from the dramatic excretion of lactate acid by cancer cells due to their glycolysis have been testified as an effective cancer cell binding strategy. In our previous work, polyethylenimine (PEI)-functionalized iron oxide nanoparticles (NPs) with strong positive surface charge and good photothermal property have been applied to kill cancer cells in vitro. Considering the obvious cytotoxicity of the first generation of positively charged nanotherapeutics, second generation of magnetic nanotherapeutics with tunable surface charges was designed and prepared by shield of positively charged surface areas by negatively charged gold nanoparticles (AU NPs). In addition to reducing the cytotoxicity of original NPs, the photothermal property of magnetic NP core was simultaneously enhanced. Herein, the correlation of the capping degree of the positive surface charge by AU NPs and the photothermal inhibition of cancer cells was investigated.

scholarly journals E-Cadherin Regulates Mitochondrial Membrane Potential in Cancer Cells

Cancers ◽  
2021 ◽  
Vol 13 (20) ◽  
pp. 5054
Author(s):  
Hydari Masuma Begum ◽  
Chelsea Mariano ◽  
Hao Zhou ◽  
Keyue Shen
Keyword(s):  
Spatial Distribution ◽  
Membrane Potential ◽  
Cancer Cells ◽  
Mitochondrial Membrane Potential ◽  
Mitochondrial Membrane ◽  
Metastatic Potential ◽  
Mcf 7 ◽  
E Cadherin

Epithelial cancer cells often have unusually higher mitochondrial membrane potential (ΔΨm) than their normal counterparts, which has been associated with increased invasiveness in vitro and higher metastatic potential in vivo. However, the mechanisms by which ΔΨm in cancer cells is regulated in tumor microenvironment (TME) remain unclear. In this study, we used an in vitro micropatterning platform to recapitulate biophysical confinement cues in the TME and investigated the mechanisms by which these regulate cancer cell ΔΨm. We found that micropatterning resulted in a spatial distribution of ΔΨm, which correlated with the level of E-cadherin mediated intercellular adhesion. There was a stark contrast in the spatial distribution of ΔΨm in the micropattern of E-cadherin-negative breast cancer cells (MDA-MB-231) compared to that of the high E-cadherin expressing (MCF-7) cancer cells. Disruption and knockout of E-cadherin adhesions rescued the low ΔΨm found at the center of MCF-7 micropatterns with high E-cadherin expression, while E-cadherin overexpression in MDA-MB-231 and MCF-7 cells lowered their ΔΨm at the micropattern center. These results show that E-cadherin plays an important role in regulating the ΔΨm of cancer cells in the context of biophysical cues in TME.

scholarly journals A semi-automated machine learning-aided approach to quantitative analysis of centrosomes and microtubule organization

2020 ◽  
Author(s):  
Divya Ganapathi Sankaran ◽  
Bharath Hariharan ◽  
Chad G. Pearson
Keyword(s):  
Breast Cancer ◽  
Machine Learning ◽  
Spatial Distribution ◽  
Cancer Cells ◽  
Breast Cancer Cells ◽  
Automated Analysis ◽  
Cellular Functions ◽  
Microtubule Organization ◽  
Graphical Tool ◽  
Pericentriolar Material

ABSTRACTMicrotubules (MTs) perform important cellular functions including migration, intracellular trafficking, and chromosome segregation. The centrosome, comprised of two centrioles surrounded by the pericentriolar material (PCM), is the cell’s central MT organizing center. The PCM proteins, including γ-tubulin and Pericentrin, promote MT nucleation and organization. Centrosomes in cancer cells are commonly numerically amplified. However, the question of how amplification of centrosomes alters the MT organization capacity is not well-studied. We developed a quantitative image-processing and machine learning-aided approach for the automated analysis of MT organization. We designed a convolutional neural network-based approach for detecting centrosomes and an automated pipeline for analyzing MT organization around centrosomes, encapsulated in a semi-automatic graphical tool. Using this tool, we analyzed the spatial distribution of PCM proteins, the growing ends of MTs and the total MT density in breast cancer cells. We find that breast cancer cells with supernumerary centrosomes not only have increased PCM protein but also exhibit expansion in PCM size. Moreover, centrosome amplified cells have a greater MT density and more growing MT ends near centrosomes than unamplified cells. The semi-automated approach developed here enables facile, unbiased and quantitative measurements of centrosome aberrations. We show that these aberrations increase MT nucleation and promote changes to MT density and the spatial distribution of MTs around amplified centrosomes.

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