scholarly journals Evaluation of Mitochondrial DNA Dynamics Using Fluorescence Correlation Analysis

10.5772/30439 ◽  
2012 ◽  
Author(s):  
Yasutomo Nomura
Keyword(s):  
Mitochondrial Dna ◽  
Correlation Analysis ◽  
Dna Dynamics ◽  
Fluorescence Correlation

scholarly journals 3P325 Direct quantification of mitochondria and mitochondrial DNA dynamics in living cells(Bioimaging,The 48th Annual Meeting of the Biophysical Society of Japan)

2010 ◽  
Vol 50 (supplement2) ◽  
pp. S202
Author(s):  
Yasutomo Nomura ◽  
Tomomi Nabeya ◽  
Kyohei Nakayama ◽  
Kazuki Nishimoto ◽  
Yui Januma ◽  
...  
Keyword(s):  
Mitochondrial Dna ◽  
Annual Meeting ◽  
Living Cells ◽  
Dna Dynamics ◽  
Biophysical Society ◽  
Direct Quantification

Detection of oxidative stress-induced mitochondrial DNA damage using fluorescence correlation spectroscopy

2006 ◽  
Vol 350 (2) ◽  
pp. 196-201 ◽  
Author(s):  
Yasutomo Nomura ◽  
Hirobumi Fuchigami ◽  
Hiroaki Kii ◽  
Zhonggang Feng ◽  
Takao Nakamura ◽  
...  
Keyword(s):  
Oxidative Stress ◽  
Dna Damage ◽  
Mitochondrial Dna ◽  
Fluorescence Correlation Spectroscopy ◽  
Correlation Spectroscopy ◽  
Fluorescence Correlation ◽  
Mitochondrial Dna Damage

scholarly journals Perioperative plasma mitochondrial DNA dynamics and correlation with inflammation during infantile cardiopulmonary bypass

2017 ◽  
Vol 69 (6) ◽  
pp. 797-800 ◽  
Author(s):  
Fei Xu ◽  
Rui-qi Liu ◽  
Rong Cao ◽  
Lang-tao Guo ◽  
Ning Zhang ◽  
...  
Keyword(s):  
Mitochondrial Dna ◽  
Cardiopulmonary Bypass ◽  
Dna Dynamics

scholarly journals Full Fluorescence Correlation Analysis - From Picoseconds To Seconds- For The Study Of Biomolecular Interactions And Dynamics

2009 ◽  
Vol 96 (3) ◽  
pp. 26a
Author(s):  
Samantha Fore ◽  
Felix Koberling ◽  
Michael Wahl ◽  
Thomas Huser ◽  
Sonny Ly ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Biomolecular Interactions ◽  
Fluorescence Correlation

Direct Quantification of Mitochondria and Mitochondrial DNA Dynamics

2012 ◽  
Vol 13 (14) ◽  
pp. 2617-2622 ◽  
Author(s):  
Yasutomo Nomura
Keyword(s):  
Mitochondrial Dna ◽  
Dna Dynamics ◽  
Direct Quantification

Quantitative Hybridization Kinetics of DNA Probes to RNA in Solution Followed by Diffusional Fluorescence Correlation Analysis†

Biochemistry ◽  
1996 ◽  
Vol 35 (31) ◽  
pp. 10182-10193 ◽  
Author(s):  
Petra Schwille ◽  
Frank Oehlenschläger ◽  
Nils G. Walter
Keyword(s):  
Correlation Analysis ◽  
Dna Probes ◽  
Fluorescence Correlation ◽  
Kinetics Of

scholarly journals Computationally-efficient spatiotemporal correlation analysis super-resolves anomalous diffusion

2020 ◽  
Author(s):  
Shawn Yoshida ◽  
William Schmid ◽  
Nam Vo ◽  
William Calabrase ◽  
Lydia Kisley
Keyword(s):  
Correlation Analysis ◽  
Anomalous Diffusion ◽  
Super Resolution ◽  
Correlation Spectroscopy ◽  
Brownian Diffusion ◽  
Computationally Efficient ◽  
Fluorescence Correlation ◽  
Diffusion Dynamics ◽  
Nanoscale Structure ◽  
User Friendly

AbstractAnomalous diffusion dynamics in confined nanoenvironments govern the macroscale properties and interactions of many biophysical and material systems. Currently, it is difficult to quantitatively link the nanoscale structure of porous media to anomalous diffusion within them. Fluorescence correlation spectroscopy super-resolution optical fluctuation imaging (fcsSOFI) has been shown to extract nanoscale structure and Brownian diffusion dynamics within gels, liquid crystals, and polymers, but has limitations which hinder its wider application to more diverse, biophysically-relevant datasets. Here, we parallelize the least-squares curve fitting step on a GPU improving computation times by up to a factor of 40, implement anomalous diffusion and two-component Brownian diffusion models, and make fcsSOFI more accessible by packaging it in a user-friendly GUI. We apply fcsSOFI to simulations of the protein fibrinogen diffusing in polyacrylamide of varying matrix densities and super-resolve locations where slower, anomalous diffusion occurs within smaller, confined pores. The improvements to fcsSOFI in speed, scope, and usability will allow for the wider adoption of super-resolution correlation analysis to diverse research topics.

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