Mapping gene expression to function in adult mouse medial entorhinal cortex
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Ramsden, Helen Lucy
Abstract
Deciphering the mechanisms that underlie circuit function in the hippocampal formation is
a key challenge for neuroscience. This region, which includes the medial entorhinal cortex
(MEC), is critical for spatial learning and episodic memory in humans. Spatially modulated
cells in the MEC, the grid cells, provide a topographical representation of space, but we are
yet to establish the neuronal properties that underlie this or the contribution that particular
cells in different regions of the MEC and hippocampus make to circuit function. This is
partially because the specific targeting of the network with genetic tools is complicated by a
multitude of cell types with predominantly unknown molecular profiles.
To address our limited understanding of the molecular organisation of the MEC, I have
characterised how the expression of genes is distributed throughout different layers of the
MEC, using a custom-designed resource that facilitates analysis of in situ hybridisation data
from the Allen Brain Atlas. Through simultaneous extraction of gene expression data across
thousands of 2D aligned images, I reveal striking differences between layers within MEC,
demonstrating that layer II contains the highest proportion of genes enriched in a single layer,
whereas gene expression is very rarely confined to layer III. Of particular interest, layer II
of MEC is highly enriched for Alzheimer’s disease pathway genes, providing insight into its
vulnerability as one of the first brain regions to show pathology. I also identify over 1000
genes that are expressed with a dorso-ventral gradient that maps onto the topographic organisation
of MEC connectivity, grid cell spatial resolution and synaptic integrative properties of
cells. An intriguing group of genes that closely relate circuit activity to gene expression, the
plasticity-related activity-dependent genes, often show this pattern of expression.
Focussing on the activity-dependent expression of one such activity-regulated, plasticity-related
gene, Arc, I provide a novel view of MEC function. During simple novel exploration,
Arc expression is up-regulated to a much greater extent in the deep layers of dorsal MEC than
in the grid cell-rich superficial layers. By selectively disrupting the predominant hippocampal
input to dorsal MEC, which terminates in the deep layers, I show that the significance of
this up-regulation is independent of hippocampal inputs. Thus, although research addressing
MEC function is particularly focussed on the superficial layers, during the exploratory
behaviour that potentially primes the system for representing an environment, important
plasticity may be occurring at the synapses onto deep layer neurons.
In summary, my investigations of baseline and activity-dependent gene expression in MEC
have revealed a molecular organisation both across different layers and along a functionally
relevant gradient. This may be important for specifically targeting microcircuits in MEC and
for characterising how laminar and regional differences contribute to the encoding of space
in the hippocampal formation.
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