Cellular composition and circuit organization of the locus coeruleus of adult mice
- Neuroscience Graduate Program, Baylor College of Medicine, United States
- Department of Neuroscience, Baylor College of Medicine, United States
- Jan and Dan Duncan Neurological Research Institute at Texas Children’s Hospital, United States
- University of Houston, United States
- Department of Electrical and Computer Engineering, University of Houston, United States
- Center for NeuroEngineering and Cognitive Science, University of Houston, United States
- Department of Ophthalmology, Baylor College of Medicine, United States
Figures
Figure 1
Electrophysiological properties of locus coeruleus/norepinephrine (LC/NE) neurons.
(A) Horizontal slices prepared from Dbh-cre:Ai9 mice for multicell patch-clamp recordings of LC/NE neurons. (B) Spontaneous firing of LC-NE neurons at rest and their more depolarized resting …
Figure 2 with 4 supplements
Two morphological cell types of locus coeruleus/norepinephrine (LC/NE) neurons.
(A) A micrograph shows seven morphologically recovered LC/NE neurons, most of which are multipolar cells (MP). (B) Morphological reconstruction of six MPs. The dendrite and soma in gray and the axon …
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Figure 2—source data 1
Electrophysiological features of FF and MP.
- https://cdn.elifesciences.org/articles/80100/elife-80100-fig2-data1-v2.docx
Figure 2—figure supplement 1
Dendrites of locus coeruleus/norepinephrine (LC/NE) neurons compared to CA1 hippocampal pyramidal neurons (CA1-PCs) and PV-expressing interneuron (CA1-PV).
(A) Left: a photomicrograph depicting the morphological recovery of three LC/NE neurons; Right: high-magnification view of a dendritic section (squared on the left with red dash line) of one of the …
Figure 2—figure supplement 2
Comparison of axonal and dendritic arbors of two locus coeruleus/norepinephrine (LC/NE) morphological cell types.
(A) Morphology of multipolar cells (MPs) including all axonal trees remained in slices. The dendrite and soma are shown in gray and the axon is shown in red. (B) Morphology of fusiform cells (FFs) …
Figure 2—figure supplement 3
Machine learning to distinguish two locus coeruleus/norepinephrine (LC/NE) morphological cell types.
(A) Classification performance with one feature alone (the shape of the cell body, i.e., the ratio of major to the minor axis of a fitted ellipse). (B) Classification performance with another …
Figure 2—figure supplement 4
The proportion of FF or MP across all individual recording sets (slices).
(A) Histogram of the proportion of FF across all slices. (B) Histogram of the proportion of MPs across all slices.
Figure 3
Chemical and electrical transmission between locus coeruleus/norepinephrine (LC/NE) neurons.
(A) Simultaneous patch-clamp recording of eight LC neurons with their morphology being post hoc recovered. Cell 7 and Cell 2 are electrically coupled. (B) The membrane responses of eight LC neurons …
Figure 4
Electrical coupling between locus coeruleus/norepinephrine (LC/NE) neurons.
(A) A micrograph shows eight morphologically recovered LC/NE neurons. (B) The relative position of eight neurons (with an assigned number) and their connections. (C) Pairwise testing between eight …
Figure 5
Putative electrical synapses in locus coeruleus/norepinephrine (LC/NE) neurons.
(A) Left: a microphotograph depicting six morphologically recovered LC/NE neurons (simultaneously recorded), among which Cell a and Cell b were identified as an electrically coupled pair. Multiple …
Figure 6
Multiple electrically coupled pairs identified in a cohort of locus coeruleus/norepinephrine (LC/NE) neurons.
(A) A micrograph shows six morphologically recovered LC/NE neurons. (B) The relative position of six neurons (with assigned number) depicted as above and their connections. (C) Pairwise testing …
Figure 7
Electrically coupled homotypic locus coeruleus (LC) subnetworks.
(A) In two electrical connections between LC neurons, comparing observed ratio (chain/non-chain pattern) vs the ratios predicted by Model 1 (random connectivity), Model 2 (cell-type-specific), and …
