The BRAIN Initiative Cell Census Network Data Ecosystem: A User’s Guide
Author:
, Hawrylycz Michael JORCID, Martone Maryann EORCID, Hof Patrick RORCID, Lein Ed SORCID, Regev AvivORCID, Ascoli Giorgio A. AORCID, Bjaalie Jan GORCID, Dong Hong-WeiORCID, Ghosh Satrajit SORCID, Gillis JesseORCID, Hertzano RonnaORCID, Haynor David RORCID, Kim YongsooORCID, Liu YufengORCID, Miller Jeremy AORCID, Mitra Partha PORCID, Mukamel EranORCID, Osumi-Sutherland DavidORCID, Peng HanchuanORCID, Ray Patrick LORCID, Sanchez RaymondORCID, Ropelewski AlexORCID, Scheuermann Richard HORCID, Tan Shawn Z KORCID, Tickle TimothyORCID, Tilgner HagenORCID, Varghese MerinaORCID, Wester BrockORCID, White OwenORCID, Aevermann BrianORCID, Allemang DavidORCID, Ament SethORCID, Athey Thomas LORCID, Baker Pamela MORCID, Baker CodyORCID, Baker Katherine SORCID, Bandrowski AnitaORCID, Bishwakarma PrajalORCID, Carr AmbroseORCID, Chen MinORCID, Choudhury RoniORCID, Cool JonahORCID, Creasy HeatherORCID, D'Orazi FlorenceORCID, Degatano KyleeORCID, Dichter BenjaminORCID, Ding Song-LinORCID, Dolbeare TimORCID, Ecker Joseph RORCID, Fang RongxinORCID, Fillion-Robin Jean-ChristopheORCID, Fliss Timothy PORCID, Gee JamesORCID, Gillespie TomORCID, Gouwens NathanORCID, Halchenko Yaroslav OORCID, Harris NomiORCID, Herb Brian RORCID, Hintiryan HouriORCID, Hood GregoryORCID, Horvath Sam, Jarecka DorotaORCID, Jiang ShengdianORCID, Khajouei FarzanehORCID, Kiernan Elizabeth AORCID, Kir HuseyinORCID, Kruse LaurenORCID, Lee ChangkyuORCID, Lelieveldt BoudewijnORCID, Li YangORCID, Liu HanqingORCID, Markuhar AnupORCID, Mathews JamesORCID, Mathews Kaylee LORCID, Miller Michael IORCID, Mollenkopf Tyler, Mufti ShoaibORCID, Mungall Christopher JORCID, Ng LydiaORCID, Orvis JoshuaORCID, Puchades Maja AORCID, Qu LeiORCID, Receveur Joseph PORCID, Ren BingORCID, Sjoquist NathanORCID, Staats BrianORCID, Thompson Carol LORCID, Tward DanielORCID, van Velthoven Cindy T JORCID, Wang QuanxinORCID, Xie FangmingORCID, Xu HuaORCID, Yao ZizhenORCID, Yun ZhixiORCID, Zeng HongkuiORCID, Zhang Guo-QiangORCID, Zhang Yun RORCID, Zheng Jim WORCID, Zingg BrianORCID
Abstract
AbstractCharacterizing cellular diversity at different levels of biological organization across data modalities is a prerequisite to understanding the function of cell types in the brain. Classification of neurons is also required to manipulate cell types in controlled ways, and to understand their variation and vulnerability in brain disorders. TheBRAIN 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 and demonstration of prototypes for human and non-human primate (NHP) brains. Here, we provide a guide to the cellular and spatial approaches employed, and to accessing and using the BICCN data and its extensive resources, including theBRAIN 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 by the BICCN toward FAIR (Wilkinson et al. 2016a) neuroscience. The combined BICCN ecosystem provides a comprehensive resource for the exploration and analysis of cell types in the brain.
Publisher
Cold Spring Harbor Laboratory
Cited by
6 articles.
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