Abstract
The recent construction of brain-wide gene expression atlases, which measure the transcriptional activity of thousands of genes in multiple anatomical locations, has made it possible to connect spatial variations in gene expression to distributed properties of connectome structure and function. These analyses have revealed that spatial patterning of gene expression and neuronal connectivity are closely linked, following broad spatial gradients that track regional variations in microcircuitry, inter-regional connectivity, and functional specialisation. Superimposed on these gradients are more specific associations between gene expression and connectome topology that appear conserved across diverse species and different resolution scales. These findings demonstrate the utility of brain-wide gene expression atlases for bridging the gap between molecular function and large-scale connectome organisation in health and disease.
| Original language | English |
|---|---|
| Pages (from-to) | 34-50 |
| Number of pages | 17 |
| Journal | Trends in Cognitive Sciences |
| Volume | 23 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 1 Jan 2019 |
Keywords
- complex network
- DNA
- graph analysis
- hub
- magnetic resonance imaging
- microarray
Cite this
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Bridging the Gap between Connectome and Transcriptome. / Fornito, Alex; Arnatkevičiūtė, Aurina; Fulcher, Ben D.
In: Trends in Cognitive Sciences, Vol. 23, No. 1, 01.01.2019, p. 34-50.Research output: Contribution to journal › Review Article › Research › peer-review
TY - JOUR
T1 - Bridging the Gap between Connectome and Transcriptome
AU - Fornito, Alex
AU - Arnatkevičiūtė, Aurina
AU - Fulcher, Ben D.
PY - 2019/1/1
Y1 - 2019/1/1
N2 - The recent construction of brain-wide gene expression atlases, which measure the transcriptional activity of thousands of genes in multiple anatomical locations, has made it possible to connect spatial variations in gene expression to distributed properties of connectome structure and function. These analyses have revealed that spatial patterning of gene expression and neuronal connectivity are closely linked, following broad spatial gradients that track regional variations in microcircuitry, inter-regional connectivity, and functional specialisation. Superimposed on these gradients are more specific associations between gene expression and connectome topology that appear conserved across diverse species and different resolution scales. These findings demonstrate the utility of brain-wide gene expression atlases for bridging the gap between molecular function and large-scale connectome organisation in health and disease.
AB - The recent construction of brain-wide gene expression atlases, which measure the transcriptional activity of thousands of genes in multiple anatomical locations, has made it possible to connect spatial variations in gene expression to distributed properties of connectome structure and function. These analyses have revealed that spatial patterning of gene expression and neuronal connectivity are closely linked, following broad spatial gradients that track regional variations in microcircuitry, inter-regional connectivity, and functional specialisation. Superimposed on these gradients are more specific associations between gene expression and connectome topology that appear conserved across diverse species and different resolution scales. These findings demonstrate the utility of brain-wide gene expression atlases for bridging the gap between molecular function and large-scale connectome organisation in health and disease.
KW - complex network
KW - DNA
KW - graph analysis
KW - hub
KW - magnetic resonance imaging
KW - microarray
UR - http://www.scopus.com/inward/record.url?scp=85056574398&partnerID=8YFLogxK
U2 - 10.1016/j.tics.2018.10.005
DO - 10.1016/j.tics.2018.10.005
M3 - Review Article
VL - 23
SP - 34
EP - 50
JO - Trends in Cognitive Sciences
JF - Trends in Cognitive Sciences
SN - 1364-6613
IS - 1
ER -