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Methods for Pseudopodia Purification and Proteomic Analysis

Authors: Yingchun, Wang; Shi-Jian, Ding; Wei, Wang; Feng, Yang; Jon M, Jacobs; David, Camp; Richard D, Smith; +1 Authors

Methods for Pseudopodia Purification and Proteomic Analysis

Abstract

Directional cell migration requires the formation of a dominant pseudopodium in the direction toward which the cell migrates. When a migratory cell is stimulated with a chemoattractant or extracellular matrix (ECM) gradient, it responds with localized amplification of signals on the side facing the gradient. The signals mediate reorganization of the actin-myosin cytoskeleton, leading to morphological polarization of the cell and pseudopodium extension. To identify these signals, we developed an approach to biochemically isolate the pseudopodium from the cell body using 3.0-micrometer porous filters for large-scale quantitative proteomic and phosphoproteomic analysis. Here, we detail the methodology for pseudopodium purification and proteomic analysis. This model system should be widely applicable for the analysis of the pseudopodium proteome from various migratory cell lines, including primary and cancer cell lines stimulated with a diverse array of chemoattractants, ECM proteins, or both.

Keywords

Proteomics, Chemotactic Factors, Proteome, Chemotaxis, Blotting, Western, Cell Polarity, Mice, Microscopy, Fluorescence, Cell Movement, Tandem Mass Spectrometry, COS Cells, Chlorocebus aethiops, NIH 3T3 Cells, Animals, Electrophoresis, Polyacrylamide Gel, Trypsin, Pseudopodia, Cytoskeleton, Chromatography, Liquid, Signal Transduction

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
21
Average
Top 10%
Average
Related to Research communities
Cancer Research
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