henhaobio
Sign in

Cell ReportsNeurosciencePeer-reviewed journal article

Localized mRNAs and protein synthesis in cortical layer 1

Teresa SpanòiD, Belquis Nassim-Assir, Eva KaulichiD, Georgi TusheviD, Nicole Fürst, Helene WilliD, Lucija Marić, Elena CiirdaevaiD, Erin Margaret SchumaniD

PDFDOIPreprint

Abstract

Cortical layer 1 plays an essential role for brain function, integrating many streams of information and undergoing synaptic plasticity during learning. Yet, we understand little of the underlying molecular processes, and whether they are specialized to achieve layer-specific functions. Here, we show that layer 1 and its synapses are metabolically active. Using laser capture RNA-sequencing and fluorescence in situ hybridization, we report an abundance of synaptic transcripts localized to layer 1. We purified layer 1 excitatory and inhibitory synapses and characterized their enriched transcriptomes, identifying candidate proteins that can be locally synthesized to maintain and regulate synaptic transmission in layer 1. Furthermore, we find significant differences between the transcriptome of synapses in layer 1 and in deeper, somatic layers, suggesting that local translation might confer specialized function. Finally, by comparing our tissue data with the transcriptome from the hippocampal CA1 strata, we discover a strong similarity between cortical layer 1 and stratum lacunosum moleculare, suggesting that these distal layers share a common molecular environment. Together, our results establish that local protein synthesis is an important mechanism for layer 1, and provide the first comprehensive characterization of the transcripts localized to layer 1 and its synapses.

Citations
3
FWCI
2.51
Field percentile
top 19%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISHafner '19Bernard '22Juengling '25Glock '20Kute '26Sakers '17
70% semantic matchNeuroscience
Anne‐Sophie Hafner, Paul Donlin-Asp, Beulah Leitch+2 more·Science·May 16, 2019· 429 citations