[HTML][HTML] Common cell type nomenclature for the mammalian brain

JA Miller, NW Gouwens, B Tasic, F Collman… - Elife, 2020 - elifesciences.org
The advancement of single-cell RNA-sequencing technologies has led to an explosion of
cell type definitions across multiple organs and organisms. While standards for data and …

[HTML][HTML] Cross-laboratory analysis of brain cell type transcriptomes with applications to interpretation of bulk tissue data

BO Mancarci, L Toker, SJ Tripathy, B Li, B Rocco… - eneuro, 2017 - eneuro.org
Establishing the molecular diversity of cell types is crucial for the study of the nervous
system. We compiled a cross-laboratory database of mouse brain cell type-specific …

Cell Taxonomy: a curated repository of cell types with multifaceted characterization

S Jiang, Q Qian, T Zhu, W Zong, Y Shang… - Nucleic Acids …, 2023 - academic.oup.com
Single-cell studies have delineated cellular diversity and uncovered increasing numbers of
previously uncharacterized cell types in complex tissues. Thus, synthesizing growing …

[HTML][HTML] Comprehensive in situ mapping of human cortical transcriptomic cell types

CM Langseth, D Gyllborg, JA Miller, JL Close… - Communications …, 2021 - nature.com
The ability to spatially resolve the cellular architecture of human cortical cell types over
informative areas is essential to understanding brain function. We combined in situ …

[HTML][HTML] A guide to the BRAIN Initiative Cell Census Network data ecosystem

M Hawrylycz, ME Martone, GA Ascoli, JG Bjaalie… - PLoS …, 2023 - journals.plos.org
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 …

[HTML][HTML] A community-based transcriptomics classification and nomenclature of neocortical cell types

R Yuste, M Hawrylycz, N Aalling, A Aguilar-Valles… - Nature …, 2020 - nature.com
To understand the function of cortical circuits, it is necessary to catalog their cellular
diversity. Past attempts to do so using anatomical, physiological or molecular features of …

A machine learning method for the discovery of minimum marker gene combinations for cell type identification from single-cell RNA sequencing

B Aevermann, Y Zhang, M Novotny, M Keshk… - Genome …, 2021 - genome.cshlp.org
Single-cell genomics is rapidly advancing our knowledge of the diversity of cell phenotypes,
including both cell types and cell states. Driven by single-cell/-nucleus RNA sequencing …

Perspectives on defining cell types in the brain

EA Mukamel, J Ngai - Current opinion in neurobiology, 2019 - Elsevier
Highlights•Cell types correspond to self-stabilizing regulatory networks that establish and
maintain a core phenotypic program.•Single cell molecular profiling of transcriptomes and …

The Neuroscience Multi-Omic Archive: a BRAIN Initiative resource for single-cell transcriptomic and epigenomic data from the mammalian brain

SA Ament, RS Adkins, R Carter… - Nucleic acids …, 2023 - academic.oup.com
Scalable technologies to sequence the transcriptomes and epigenomes of single cells are
transforming our understanding of cell types and cell states. The Brain Research through …

[HTML][HTML] Single-cell multi-omic integration compares and contrasts features of brain cell identity

JD Welch, V Kozareva, A Ferreira, C Vanderburg… - Cell, 2019 - cell.com
Defining cell types requires integrating diverse single-cell measurements from multiple
experiments and biological contexts. To flexibly model single-cell datasets, we developed …