Wang G, Xie H, Hu Y, Chen Q, Liu C, Liu K, Yan Y, Guan JS. Egr1-EGFP transgenic mouse allows in vivo recording of Egr1 expression and neural activity.
J Neurosci Methods 2021;
363:109350. [PMID:
34487772 DOI:
10.1016/j.jneumeth.2021.109350]
[Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 08/29/2021] [Accepted: 08/31/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND
Immediate-early genes (IEGs) have been serving as markers of active neurons for their rapid responses to stimulation. With the development of IEG-EGFP reporters by the GENSAT project, application of the IEGs have been greatly expanded. However, detailed validations for these systems are still lacking, causing trouble in the interpretation of the fluorescence signals.
NEW METHOD
In this work, taken Egr1-EGFP transgenic mice as an example, we proposed an improvement for the usage of the Egr1-EGFP reporter system based on detailed validation of its fluorescence signals.
RESULTS
Firstly, the exogenous EGFP mRNA levels were linearly correlated with the endogenous Egr1 mRNA levels in neurons. Secondly, the 3-hr-changes of the Egr1-EGFP signals before and after the stimulus were positively correlated with the stimulus-induced neuronal activities. Interestingly, persistent neuronal activity patterns in the post-stimulus phase also showed correlation with the stimulus-induced Egr1-EGFP signal changes. Furthermore, enriched environments engaged dramatic neuronal activations, allowing detailed characterization of Egr1-EGFP expression dynamics.
COMPARISON WITH EXISTING METHOD(S)
People used to infer the neuronal activities based on the raw fluorescence signals of IEG-EGFP reporter system, which was strongly obstructed by distinct protein regulation or dynamic properties between the EGFP and the IEGs. We demonstrated a better way for data analysis and experimental design.
CONCLUSIONS
Taken together, this work proves that Egr1-EGFP signal is weakly but significantly correlated to task-induced neural activity and gives detailed characterization of the signal dynamics. It not only provides basis for the understanding of the IEG-EGFP fluorescence signals but also offers instructions for proper experimental design with IEG-EGFP reporter systems.
Collapse