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Related Concept Videos

Two-dimensional Gel Electrophoresis01:22

Two-dimensional Gel Electrophoresis

Two-dimensional gel electrophoresis is a high-resolution protein separation method first introduced by O' Farrell and Klose in 1975. This method involves protein separation by two dimensions, mass and charge, making it more accurate than one-dimensional gel electrophoresis.
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Related Experiment Video

Updated: Jun 23, 2026

Identification of Protein Complexes in Escherichia coli using Sequential Peptide Affinity Purification in Combination with Tandem Mass Spectrometry
14:58

Identification of Protein Complexes in Escherichia coli using Sequential Peptide Affinity Purification in Combination with Tandem Mass Spectrometry

Published on: November 12, 2012

From a Protein's Perspective: Elution at the Single-Molecule Level.

Logan D C Bishop, Christy F Landes

    Accounts of Chemical Research
    |August 23, 2018
    PubMed
    Summary

    Developing single-molecule techniques refines chromatography theory for protein separations. New methods like STReM and fcsSOFI enable protein-by-protein analysis, advancing predictive column design for biologics.

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    Last Updated: Jun 23, 2026

    Identification of Protein Complexes in Escherichia coli using Sequential Peptide Affinity Purification in Combination with Tandem Mass Spectrometry
    14:58

    Identification of Protein Complexes in Escherichia coli using Sequential Peptide Affinity Purification in Combination with Tandem Mass Spectrometry

    Published on: November 12, 2012

    Protein Complex Affinity Capture from Cryomilled Mammalian Cells
    10:37

    Protein Complex Affinity Capture from Cryomilled Mammalian Cells

    Published on: December 9, 2016

    Proteome-wide Quantification of Labeling Homogeneity at the Single Molecule Level
    08:29

    Proteome-wide Quantification of Labeling Homogeneity at the Single Molecule Level

    Published on: April 19, 2019

    Area of Science:

    • Analytical Chemistry
    • Biochemistry
    • Chemical Engineering

    Background:

    • Column chromatography is vital for separating chemical mixtures, but current theories struggle with complex protein analytes.
    • Proteins, increasingly used as biologics, exhibit diverse properties (charge, structure) challenging existing chromatographic models.
    • Predicting chromatographic efficiency for proteins requires understanding analyte-surface interactions, which current theory simplifies statistically.

    Purpose of the Study:

    • To advance predictive chromatographic theory for protein separations by refining stochastic models.
    • To develop and apply single-molecule techniques for detailed analysis of protein-chromatography interactions.
    • To address the limitations of empirical optimization in protein separation column design.

    Main Methods:

    • Review of stochastic theory development and establishment of a mathematical framework for physical chemistry.
    • Investigation of mobile/stationary phase exchange, adsorption/desorption kinetics, and hindered diffusion.
    • Development of single-molecule techniques: super temporal-resolved microscopy (STReM) and fluorescence correlation spectroscopy/super-resolution optical fluctuation imaging (fcsSOFI).

    Main Results:

    • Experimental evidence highlights non-uniform behavior in protein chromatographic interactions.
    • Single-molecule techniques (STReM, fcsSOFI) enable protein-by-protein evaluation of chromatographic phenomena.
    • These methods can identify heterogeneities that impede efficient protein separations.

    Conclusions:

    • Single-molecule approaches offer a path toward understanding and predicting protein chromatographic behavior.
    • Refined stochastic theory and advanced imaging techniques are crucial for optimizing protein separations.
    • This work moves the field closer to predictive column design for biologics.