Event Ordering in Live-Cell Imaging Determined from Temporal Cross-Correlation Asymmetry

Autor: Daniel R. Sisan, Jeffrey S. Urbach, Clare M. Waterman, Defne Yarar
Rok vydání: 2010
Předmět:
Fluorescence-lifetime imaging microscopy
Time Factors
media_common.quotation_subject
Vesicular Transport Proteins
Video Recording
Analytical chemistry
Biophysics
Protein complex assembly
Biology
Models
Biological
Asymmetry
Cell Line
Cell Physiological Phenomena
03 medical and health sciences
0302 clinical medicine
Live cell imaging
Chlorocebus aethiops
Animals
Computer Simulation
Sorting Nexins
030304 developmental biology
Event (probability theory)
media_common
Stochastic Processes
0303 health sciences
Cross-correlation
Stochastic process
Proteins
Signal Processing
Computer-Assisted
Actins
Clathrin
Biological Systems and Multicellular Dynamics
Sorting nexin
Microscopy
Fluorescence
030220 oncology & carcinogenesis
Carrier Proteins
Biological system
Monte Carlo Method
Algorithms
Signal Transduction
Zdroj: Biophysical Journal. 98(11):2432-2441
ISSN: 0006-3495
DOI: 10.1016/j.bpj.2010.02.041
Popis: We use the temporal asymmetry of the cross-correlation function to determine the temporal ordering of spatially localized cellular events in live-cell multichannel fluorescence imaging. The analysis is well suited to noisy, stochastic systems where the temporal order may not be apparent in the raw data. The approach is applicable to any biochemical reaction not in chemical equilibrium, including protein complex assembly, sequential enzymatic processes, gene regulation, and other cellular signaling events. As an automated quantitative measure, this approach allows the data to be readily interpreted statistically with minimal subjective biases. We first test the technique using simulations of simple biophysical models with a definite temporal ordering. We then demonstrate the approach by extracting the temporal ordering of three proteins—actin, sorting nexin 9, and clathrin—in the endocytic pathway.
Databáze: OpenAIRE
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