↓ Skip to main content

ERK Signaling

Overview of attention for book
Cover of 'ERK Signaling'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 How Genetics Has Helped Piece Together the MAPK Signaling Pathway.
  3. Altmetric Badge
    Chapter 2 In Vitro Enzyme Kinetics Analysis of EGFR.
  4. Altmetric Badge
    Chapter 3 High-Throughput Analysis of Mammalian Receptor Tyrosine Kinase Activation in Yeast Cells.
  5. Altmetric Badge
    Chapter 4 Structural Studies of ERK2 Protein Complexes.
  6. Altmetric Badge
    Chapter 5 Isolation and Characterization of Intrinsically Active (MEK-Independent) Mutants of Mpk1/Erk.
  7. Altmetric Badge
    Chapter 6 Assaying Activation and Subcellular Localization of ERK in Cells and Tissues.
  8. Altmetric Badge
    Chapter 7 Detection and Functional Analysis of SUMO-Modified MEK.
  9. Altmetric Badge
    Chapter 8 Single-Step Affinity Purification of ERK Signaling Complexes Using the Streptavidin-Binding Peptide (SBP) Tag.
  10. Altmetric Badge
    Chapter 9 High-Throughput In Vitro Identification of Direct MAPK/Erk Substrates.
  11. Altmetric Badge
    Chapter 10 Global Identification of ERK Substrates by Phosphoproteomics Based on IMAC and 2D-DIGE.
  12. Altmetric Badge
    Chapter 11 Analysis of Ras/ERK Compartmentalization by Subcellular Fractionation.
  13. Altmetric Badge
    Chapter 12 Cell-Based Assays to Study ERK Pathway/Caveolin1 Interactions.
  14. Altmetric Badge
    Chapter 13 The Nuclear Translocation of ERK.
  15. Altmetric Badge
    Chapter 14 Visualization of RAS/MAPK Signaling In Situ by the Proximity Ligation Assay (PLA).
  16. Altmetric Badge
    Chapter 15 Measuring ERK Activity Dynamics in Single Living Cells Using FRET Biosensors.
  17. Altmetric Badge
    Chapter 16 Quantifying Tensile Force and ERK Phosphorylation on Actin Stress Fibers.
  18. Altmetric Badge
    Chapter 17 Co-culture Activation of MAP Kinase in Drosophila S2 Cells.
  19. Altmetric Badge
    Chapter 18 ERK Signaling
  20. Altmetric Badge
    Chapter 19 3D Organotypic Culture Model to Study Components of ERK Signaling.
  21. Altmetric Badge
    Chapter 20 Genetic Validation of Cell Proliferation via Ras-Independent Activation of the Raf/Mek/Erk Pathway.
  22. Altmetric Badge
    Chapter 21 Genome-Wide Analysis of RAS/ERK Signaling Targets.
  23. Altmetric Badge
    Chapter 22 Probing Chromatin Modifications in Response to ERK Signaling.
  24. Altmetric Badge
    Chapter 23 Analyzing pERK Activation During Planarian Regeneration.
  25. Altmetric Badge
    Chapter 24 Discovering Functional ERK Substrates Regulating Caenorhabditis elegans Germline Development.
  26. Altmetric Badge
    Chapter 25 Reconstructing ERK Signaling in the Drosophila Embryo from Fixed Images.
  27. Altmetric Badge
    Chapter 26 Using CRISPR-Cas9 to Study ERK Signaling in Drosophila.
  28. Altmetric Badge
    Chapter 27 Analyzing ERK Signal Dynamics During Zebrafish Somitogenesis.
  29. Altmetric Badge
    Chapter 28 Modeling RASopathies with Genetically Modified Mouse Models.
  30. Altmetric Badge
    Chapter 29 Dissecting Cell-Fate Determination Through Integrated Mathematical Modeling of the ERK/MAPK Signaling Pathway.
Attention for Chapter 5: Isolation and Characterization of Intrinsically Active (MEK-Independent) Mutants of Mpk1/Erk.
Altmetric Badge

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
7 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Isolation and Characterization of Intrinsically Active (MEK-Independent) Mutants of Mpk1/Erk.
Chapter number 5
Book title
ERK Signaling
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6424-6_5
Pubmed ID
Book ISBNs
978-1-4939-6422-2, 978-1-4939-6424-6
Authors

Tal Goshen-Lago, Dganit Melamed, Arie Admon, David Engelberg, Goshen-Lago, Tal, Melamed, Dganit, Admon, Arie, Engelberg, David

Editors

Gerardo Jimenez

Abstract

The extracellular-regulated kinase (Erk) pathway is a major determinant in the control of diverse cellular processes, such as proliferation, differentiation, survival, and motility. The pathway executes its effects through kinases of the Erk family. Erks are not only critical for a variety of physiological processes, but are also associated with neurodegenerative diseases, cardiovascular diseases, diabetes and a large number of human cancers. However, the exact role of each Erk molecule in these biological and pathological processes is not fully determined. An efficient strategy for revealing these roles is to activate each Erk isoform individually, in a signal independent manner, and to monitor the molecular, physiological, and pathological effects. This could be achieved by developing intrinsically active variants for each Erk isoform and splicing variant and expressing these molecules individually in biological systems. A screening method that selects for relevant and useful active mutants of Erks is described in this chapter. The main principle of the method is to screen for mutants of Erk that function in the total absence of their relevant MEKs. Another principle is that the screen should be unbiased toward particular domains or mechanisms of action. We describe how these principles are combined into a screen that takes advantage of the yeast Mpk1/Erk pathway. Following the description of how intrinsically active Mpk1 molecules are isolated, we provide comprehensive and detailed descriptions of the methods used to characterize their catalytic activity, autophosphorylation capabilities, and phosphorylation status, as well as the methods used to determine the precise phosphorylated sites. The principles of the screen and the methods described here could be easily adapted for any Erk molecule in any organism.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 29%
Student > Ph. D. Student 1 14%
Unknown 4 57%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 29%
Unknown 5 71%