High-Throughput Mapping of Single-Neuron Projections by Sequencing of Barcoded RNA

Kebschull, Justus M, Garcia da Silva, Pedro, Reid, Ashlan P, Peikon, Ian D, Albeanu, Dinu F, Zador, Anthony M (September 2016) High-Throughput Mapping of Single-Neuron Projections by Sequencing of Barcoded RNA. Neuron, 91 (5). pp. 975-987. ISSN 0896-6273 (Public Dataset)

URL: http://www.ncbi.nlm.nih.gov/pubmed/27545715
DOI: 10.1016/j.neuron.2016.07.036

Abstract

Summary Neurons transmit information to distant brain regions via long-range axonal projections. In the mouse, area-to-area connections have only been systematically mapped using bulk labeling techniques, which obscure the diverse projections of intermingled single neurons. Here we describe MAPseq (Multiplexed Analysis of Projections by Sequencing), a technique that can map the projections of thousands or even millions of single neurons by labeling large sets of neurons with random RNA sequences (“barcodes”). Axons are filled with barcode mRNA, each putative projection area is dissected, and the barcode mRNA is extracted and sequenced. Applying MAPseq to the locus coeruleus (LC), we find that individual LC neurons have preferred cortical targets. By recasting neuroanatomy, which is traditionally viewed as a problem of microscopy, as a problem of sequencing, MAPseq harnesses advances in sequencing technology to permit high-throughput interrogation of brain circuits.

Item Type: Paper
Subjects: organs, tissues, organelles, cell types and functions > cell types and functions > cell types > neurons
organs, tissues, organelles, cell types and functions > cell types and functions > cell types > neurons
organs, tissues, organelles, cell types and functions > cell types and functions > cell types > neurons
Investigative techniques and equipment > Whole Brain Circuit Mapping
CSHL Authors:
Communities: CSHL labs > Albeanu lab
CSHL labs > Zador lab
School of Biological Sciences > Publications
Depositing User: Matt Covey
Date: 7 September 2016
Date Deposited: 26 Aug 2016 20:54
Last Modified: 08 Jul 2021 14:56
PMCID: PMC6640135
Related URLs:
Dataset ID:
URI: https://repository.cshl.edu/id/eprint/33404

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