Transcriptional diversity in specific synaptic gene sets discriminates cortical neuronal identity
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Transcriptional diversity in specific synaptic gene sets discriminates cortical neuronal identity. / Roig Adam, Amparo; Martínez-López, José A; van der Spek, Sophie J F; SynGO Consortium; Sullivan, Patrick F; Smit, August B; Verhage, Matthijs; Hjerling-Leffler, Jens; Imig, Cordelia (Member of author collaboration).
In: Biology Direct, Vol. 18, No. 1, 22, 2023.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Transcriptional diversity in specific synaptic gene sets discriminates cortical neuronal identity
AU - Roig Adam, Amparo
AU - Martínez-López, José A
AU - van der Spek, Sophie J F
AU - SynGO Consortium
AU - Sullivan, Patrick F
AU - Smit, August B
AU - Verhage, Matthijs
AU - Hjerling-Leffler, Jens
A2 - Imig, Cordelia
N1 - © 2023. The Author(s).
PY - 2023
Y1 - 2023
N2 - Synapse diversity has been described from different perspectives, ranging from the specific neurotransmitters released, to their diverse biophysical properties and proteome profiles. However, synapse diversity at the transcriptional level has not been systematically identified across all synapse populations in the brain. To quantify and identify specific synaptic features of neuronal cell types we combined the SynGO (Synaptic Gene Ontology) database with single-cell RNA sequencing data of the mouse neocortex. We show that cell types can be discriminated by synaptic genes alone with the same power as all genes. The cell type discriminatory power is not equally distributed across synaptic genes as we could identify functional categories and synaptic compartments with greater cell type specific expression. Synaptic genes, and specific SynGO categories, belonged to three different types of gene modules: gradient expression over all cell types, gradient expression in selected cell types and cell class- or type-specific profiles. This data provides a deeper understanding of synapse diversity in the neocortex and identifies potential markers to selectively identify synapses from specific neuronal populations.
AB - Synapse diversity has been described from different perspectives, ranging from the specific neurotransmitters released, to their diverse biophysical properties and proteome profiles. However, synapse diversity at the transcriptional level has not been systematically identified across all synapse populations in the brain. To quantify and identify specific synaptic features of neuronal cell types we combined the SynGO (Synaptic Gene Ontology) database with single-cell RNA sequencing data of the mouse neocortex. We show that cell types can be discriminated by synaptic genes alone with the same power as all genes. The cell type discriminatory power is not equally distributed across synaptic genes as we could identify functional categories and synaptic compartments with greater cell type specific expression. Synaptic genes, and specific SynGO categories, belonged to three different types of gene modules: gradient expression over all cell types, gradient expression in selected cell types and cell class- or type-specific profiles. This data provides a deeper understanding of synapse diversity in the neocortex and identifies potential markers to selectively identify synapses from specific neuronal populations.
KW - Animals
KW - Mice
KW - Brain
KW - Gene Regulatory Networks
U2 - 10.1186/s13062-023-00372-y
DO - 10.1186/s13062-023-00372-y
M3 - Journal article
C2 - 37161421
VL - 18
JO - Biology Direct
JF - Biology Direct
SN - 1745-6150
IS - 1
M1 - 22
ER -
ID: 346484860