Here we report the generation of a multimodal cell census and atlas of the mammalian primary motor cortex as the initial product of the BRAIN Initiative Cell Census Network (BICCN). This was achieved by coordinated large-scale analyses of single-cell transcriptomes, chromatin accessibility, DNA methylomes, spatially resolved single-cell transcriptomes, morphological and electrophysiological properties and cellular resolution input-output mapping, integrated through cross-modal computational analysis. Our results advance the collective knowledge and understanding of brain cell-type organization1-5. First, our study reveals a unified molecular genetic landscape of cortical cell types that integrates their transcriptome, open chromatin and DNA...
An essential step toward understanding brain function is to establish a cellular-resolution structur...
Characterizing cellular diversity at different levels of biological organization and across data mod...
To understand the function of cortical circuits, it is necessary to catalog their cellular diversity...
We report the generation of a multimodal cell census and atlas of the mammalian primary motor cortex...
Single-cell transcriptomics can provide quantitative molecular signatures for large, unbiased sample...
Single-cell transcriptomics can provide quantitative molecular signatures for large, unbiased sample...
Single cell transcriptomics has transformed the characterization of brain cell identity by providing...
An essential step toward understanding brain function is to establish a structural framework with ce...
The primary motor cortex (M1) is essential for voluntary fine-motor control and is functionally cons...
The mammalian brain consists of a vast network of neurons and non-neuronal cells with diverse morpho...
Dendritic and axonal morphology reflects the input and output of neurons and is a defining feature o...
Mammalian brain cells show a remarkable diversity, yet the regulatory DNA landscape underlying this ...
To understand the function of the brain and how its dysfunction leads to brain diseases, it is essen...
Single-cell technologies measure unique cellular signatures but are typically limited to a single mo...
An essential step toward understanding brain function is to establish a cellular-resolution structur...
Characterizing cellular diversity at different levels of biological organization and across data mod...
To understand the function of cortical circuits, it is necessary to catalog their cellular diversity...
We report the generation of a multimodal cell census and atlas of the mammalian primary motor cortex...
Single-cell transcriptomics can provide quantitative molecular signatures for large, unbiased sample...
Single-cell transcriptomics can provide quantitative molecular signatures for large, unbiased sample...
Single cell transcriptomics has transformed the characterization of brain cell identity by providing...
An essential step toward understanding brain function is to establish a structural framework with ce...
The primary motor cortex (M1) is essential for voluntary fine-motor control and is functionally cons...
The mammalian brain consists of a vast network of neurons and non-neuronal cells with diverse morpho...
Dendritic and axonal morphology reflects the input and output of neurons and is a defining feature o...
Mammalian brain cells show a remarkable diversity, yet the regulatory DNA landscape underlying this ...
To understand the function of the brain and how its dysfunction leads to brain diseases, it is essen...
Single-cell technologies measure unique cellular signatures but are typically limited to a single mo...
An essential step toward understanding brain function is to establish a cellular-resolution structur...
Characterizing cellular diversity at different levels of biological organization and across data mod...
To understand the function of cortical circuits, it is necessary to catalog their cellular diversity...