학술논문

A module for Rac temporal signal integration revealed with optogenetics
Document Type
article
Source
Journal of Cell Biology. 216(8)
Subject
Underpinning research
1.1 Normal biological development and functioning
Aetiology
2.1 Biological and endogenous factors
Generic health relevance
CRISPR-Cas Systems
Chemotaxis
Leukocyte
Enzyme Activation
Feedback
Physiological
GTPase-Activating Proteins
Gene Targeting
Guanine Nucleotide Exchange Factors
HEK293 Cells
HL-60 Cells
Humans
Microscopy
Confocal
Microscopy
Video
Neutrophils
Optogenetics
Phosphatidylinositol 3-Kinase
Phosphatidylinositol Phosphates
Phosphorylation
Proto-Oncogene Proteins c-akt
Second Messenger Systems
Time Factors
Transfection
p21-Activated Kinases
rac GTP-Binding Proteins
Biological Sciences
Medical and Health Sciences
Developmental Biology
Language
Abstract
Sensory systems use adaptation to measure changes in signaling inputs rather than absolute levels of signaling inputs. Adaptation enables eukaryotic cells to directionally migrate over a large dynamic range of chemoattractant. Because of complex feedback interactions and redundancy, it has been difficult to define the portion or portions of eukaryotic chemotactic signaling networks that generate adaptation and identify the regulators of this process. In this study, we use a combination of optogenetic intracellular inputs, CRISPR-based knockouts, and pharmacological perturbations to probe the basis of neutrophil adaptation. We find that persistent, optogenetically driven phosphatidylinositol (3,4,5)-trisphosphate (PIP3) production results in only transient activation of Rac, a hallmark feature of adaptive circuits. We further identify the guanine nucleotide exchange factor P-Rex1 as the primary PIP3-stimulated Rac activator, whereas actin polymerization and the GTPase-activating protein ArhGAP15 are essential for proper Rac turnoff. This circuit is masked by feedback and redundancy when chemoattractant is used as the input, highlighting the value of probing signaling networks at intermediate nodes to deconvolve complex signaling cascades.