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Using high-throughput barcode sequencing to efficiently map connectomes

delete2017-04-26
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OA
AI
I
Ian D. Peikon
J
Justus M. Kebschull
V
Vasily V. Vagin
D
Diana I. Ravens
Y
Yu-Chi Sun
E
Eric Brouzés
I
Ivan R. Corrêa
D
Dario Bressan
A
Anthony M. Zador *
DOI:10.1093/nar/gkx292delete
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摘要

摘要

En 中文
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 protein-protein 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.
Keyword:
IN-VIVO
CHROMOSOME CONFORMATION
LIVING CELLS
SYNAPSES
RECONSTRUCTION
CONNECTIVITY
RESOLUTION
MICROSCOPY
NEUREXINS
SYSTEM
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期刊

Nucleic Acids Research 封面图
Nucleic Acids Research
IF:
13.1
论文数:
3.6W
被引数:
29.0W

机构

C
Cold Spring Harbor Laboratory
学者数:
2.8K
论文数: 1.7K
被引数: 7.2K
S
state university of new york (suny) system
学者数:
6.5W
论文数: 5.8W
被引数: 65
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