The BRAIN Initiative Cell Census Consortium: Lessons Learned toward Generating a Comprehensive Brain Cell Atlas. Ecker, J. R, Geschwind, D. H, Kriegstein, A. R, Ngai, J., Osten, P., Polioudakis, D., Regev, A., Sestan, N., Wickersham, I. R, & Zeng, H. Neuron, 96(3):542–557, November, 2017. abstract bibtex A comprehensive characterization of neuronal cell types, their distributions, and patterns of connectivity is critical for understanding the properties of neural circuits and how they generate behaviors. Here we review the experiences of the BRAIN Initiative Cell Census Consortium, ten pilot projects funded by the U.S. BRAIN Initiative, in developing, validating, and scaling up emerging genomic and anatomical mapping technologies for creating a complete inventory of neuronal cell types and their connections in multiple species and during development. These projects lay the foundation for a larger and longer-term effort to generate whole-brain cell atlases in species including mice and humans.
@ARTICLE{Ecker2017-pt,
title = "The {BRAIN} Initiative Cell Census Consortium: Lessons Learned
toward Generating a Comprehensive Brain Cell Atlas",
author = "Ecker, Joseph R and Geschwind, Daniel H and Kriegstein, Arnold R
and Ngai, John and Osten, Pavel and Polioudakis, Damon and Regev,
Aviv and Sestan, Nenad and Wickersham, Ian R and Zeng, Hongkui",
abstract = "A comprehensive characterization of neuronal cell types, their
distributions, and patterns of connectivity is critical for
understanding the properties of neural circuits and how they
generate behaviors. Here we review the experiences of the BRAIN
Initiative Cell Census Consortium, ten pilot projects funded by
the U.S. BRAIN Initiative, in developing, validating, and scaling
up emerging genomic and anatomical mapping technologies for
creating a complete inventory of neuronal cell types and their
connections in multiple species and during development. These
projects lay the foundation for a larger and longer-term effort
to generate whole-brain cell atlases in species including mice
and humans.",
journal = "Neuron",
volume = 96,
number = 3,
pages = "542--557",
month = nov,
year = 2017,
keywords = "BRAIN initiative; anatomy; cell census; connectivity;
electrophysiology; human brain; mouse brain; single-cell RNA-seq;
single-cell epigenomics; single-cell transcriptomics",
language = "en"
}
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