In:
PLOS Biology, Public Library of Science (PLoS), Vol. 21, No. 6 ( 2023-6-30), p. e3002133-
Abstract:
Characterizing cellular diversity at different levels of biological organization and across data modalities is a prerequisite to understanding the function of cell types in the brain. Classification of neurons is also essential to manipulate cell types in controlled ways and to understand their variation and vulnerability in brain disorders. The BRAIN Initiative Cell Census Network (BICCN) is an integrated network of data-generating centers, data archives, and data standards developers, with the goal of systematic multimodal brain cell type profiling and characterization. Emphasis of the BICCN is on the whole mouse brain with demonstration of prototype feasibility for human and nonhuman primate (NHP) brains. Here, we provide a guide to the cellular and spatial approaches employed by the BICCN, and to accessing and using these data and extensive resources, including the BRAIN Cell Data Center (BCDC), which serves to manage and integrate data across the ecosystem. We illustrate the power of the BICCN data ecosystem through vignettes highlighting several BICCN analysis and visualization tools. Finally, we present emerging standards that have been developed or adopted toward Findable, Accessible, Interoperable, and Reusable (FAIR) neuroscience. The combined BICCN ecosystem provides a comprehensive resource for the exploration and analysis of cell types in the brain.
Type of Medium:
Online Resource
ISSN:
1545-7885
DOI:
10.1371/journal.pbio.3002133
DOI:
10.1371/journal.pbio.3002133.g001
DOI:
10.1371/journal.pbio.3002133.g002
DOI:
10.1371/journal.pbio.3002133.g003
DOI:
10.1371/journal.pbio.3002133.g004
DOI:
10.1371/journal.pbio.3002133.g005
DOI:
10.1371/journal.pbio.3002133.g006
DOI:
10.1371/journal.pbio.3002133.g007
DOI:
10.1371/journal.pbio.3002133.g008
DOI:
10.1371/journal.pbio.3002133.t001
DOI:
10.1371/journal.pbio.3002133.s001
DOI:
10.1371/journal.pbio.3002133.s002
DOI:
10.1371/journal.pbio.3002133.s003
DOI:
10.1371/journal.pbio.3002133.s004
DOI:
10.1371/journal.pbio.3002133.s005
Language:
English
Publisher:
Public Library of Science (PLoS)
Publication Date:
2023
detail.hit.zdb_id:
2126773-X
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