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Neural circuits. Labeling of active neural circuits in vivo with designed calcium integrators.
- Source :
-
Science (New York, N.Y.) [Science] 2015 Feb 13; Vol. 347 (6223), pp. 755-60. - Publication Year :
- 2015
-
Abstract
- The identification of active neurons and circuits in vivo is a fundamental challenge in understanding the neural basis of behavior. Genetically encoded calcium (Ca(2+)) indicators (GECIs) enable quantitative monitoring of cellular-resolution activity during behavior. However, such indicators require online monitoring within a limited field of view. Alternatively, post hoc staining of immediate early genes (IEGs) indicates highly active cells within the entire brain, albeit with poor temporal resolution. We designed a fluorescent sensor, CaMPARI, that combines the genetic targetability and quantitative link to neural activity of GECIs with the permanent, large-scale labeling of IEGs, allowing a temporally precise "activity snapshot" of a large tissue volume. CaMPARI undergoes efficient and irreversible green-to-red conversion only when elevated intracellular Ca(2+) and experimenter-controlled illumination coincide. We demonstrate the utility of CaMPARI in freely moving larvae of zebrafish and flies, and in head-fixed mice and adult flies.<br /> (Copyright © 2015, American Association for the Advancement of Science.)
- Subjects :
- Animals
Calcium metabolism
Drosophila melanogaster
Fluorescence
Indicators and Reagents analysis
Indicators and Reagents metabolism
Luminescent Proteins genetics
Mice
Neural Pathways cytology
Neural Pathways physiology
Neuronal Calcium-Sensor Proteins genetics
Protein Engineering
Sensory Receptor Cells physiology
Zebrafish
Biosensing Techniques
Calcium analysis
Genes, Immediate-Early
Luminescent Proteins metabolism
Neural Pathways chemistry
Neuronal Calcium-Sensor Proteins metabolism
Sensory Receptor Cells chemistry
Staining and Labeling methods
Subjects
Details
- Language :
- English
- ISSN :
- 1095-9203
- Volume :
- 347
- Issue :
- 6223
- Database :
- MEDLINE
- Journal :
- Science (New York, N.Y.)
- Publication Type :
- Academic Journal
- Accession number :
- 25678659
- Full Text :
- https://doi.org/10.1126/science.1260922