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Using high-throughput barcode sequencing to efficiently map connectomes

  • Ian D. Peikon
  • , Justus M. Kebschull
  • , Vasily V. Vagin
  • , Diana I. Ravens
  • , Yu Chi Sun
  • , Eric Brouzes
  • , Ivan R. Corrêa
  • , Dario Bressan
  • , Anthony M. Zador
  • Cold Spring Harbor Laboratory
  • Stony Brook University
  • University of Cambridge

Research output: Contribution to journalArticlepeer-review

28 Scopus citations

Abstract

The function of a neural circuit is determined by the details of its synaptic connections. At present, the only available method for determining a neural wiring diagram with single synapse precision-a 'connectome'-is based on imaging methods that are slow, labor-intensive and expensive. Here, we present SYNseq, a method for converting the connectome into a form that can exploit the speed and low cost of modern high-throughput DNA sequencing. In SYNseq, each neuron is labeled with a unique random nucleotide sequence-an RNA 'barcode'-which is targeted to the synapse using engineered proteins. Barcodes in pre- and postsynaptic neurons are then associated through proteinprotein crosslinking across the synapse, extracted from the tissue, and joined into a form suitable for sequencing. Although our failure to develop an efficient barcode joining scheme precludes the widespread application of this approach, we expect that with further development SYNseq will enable tracing of complex circuits at high speed and low cost.

Original languageEnglish
Article numbere115
JournalNucleic Acids Research
Volume45
Issue number12
DOIs
StatePublished - Jul 1 2017

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