Nature CommunicationsNeurosciencePeer-reviewed journal article
The molecular diversity of hippocampal regions and strata at synaptic resolution revealed by integrated transcriptomic and proteomic profiling
Eva KaulichiD, Quinn WaselenchukiD, Nicole Fürst, Kristina DeschiD, Janus MosbacheriD, Elena CiirdaevaiD, Marcel JuenglingiD, Roshni RayiD, Belquis Nassim-Assir, Georgi TusheviD, Julian D. LangeriD, Erin Margaret SchumaniD
Abstract
The molecular diversity of neurons and their synapses underlies the different responses and plasticity profiles that drive all neural circuits and behavior. While the extent of this diversity has been partially revealed by transcriptomic and proteomic profiling, combined studies of neuronal transcripts and proteins are limited. Here, we used microdissection of mouse hippocampal subregions and CA1 strata and fluorescence-activated synaptosome sorting (FASS) to characterize the transcripts and proteins from different hippocampal neurons and their compartments with synaptic resolution. Parallel RNA-seq and LC-MS/MS of microdissections identified over 15,000 mRNA transcripts and 10,000 proteins, revealing thousands with local enrichment such as classes of glutamate receptors and voltage-gated potassium channels, myelin-associated molecules, and adhesion molecules. Synaptosome analysis further identified specific enrichment of molecules from collagen, ribosome, solute carrier, and receptor families at different synapses formed along CA1 neurons. By integrating mRNA and protein data, we defined clusters of co-regulated molecules such as adhesion and neurofilament proteins and transporter mRNAs, and found subsets of mRNA-protein pairs with strong correlation and anti-correlation in their abundance variation. Our findings comprise a rich resource on the molecular landscape of the hippocampus and its synapses that is accessible at syndive.org, and highlight the coordinated organization of transcripts and proteins between regions, neuronal compartments, and synapses.
- organism: mouse
- assay: proteomics
- assay: bulk RNA-seq
- research focus: cell type annotation
- research focus: clustering
- research focus: gene regulatory network inference
- approach: statistical model
- approach: experimental assay
- Citations
- 23
- FWCI
- 8.98
- Field percentile
- top 1%
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