Single-cell sequencing of brain cell transcriptomes and epigenomes

EJ Armand, J Li, F **e, C Luo, EA Mukamel - Neuron, 2021 - cell.com
Single-cell sequencing technologies, including transcriptomic and epigenomic assays, are
transforming our understanding of the cellular building blocks of neural circuits. By directly …

Diversity and dynamism in the cerebellum

CI De Zeeuw, SG Lisberger, JL Raymond - Nature neuroscience, 2021 - nature.com
The past several years have brought revelations and paradigm shifts in research on the
cerebellum. Historically viewed as a simple sensorimotor controller with homogeneous …

A multimodal cell census and atlas of the mammalian primary motor cortex

Principal manuscript editors, Analysis coordination… - Nature, 2021 - nature.com
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 …

The spatial and cell-type distribution of SARS-CoV-2 receptor ACE2 in the human and mouse brains

R Chen, K Wang, J Yu, D Howard, L French… - Frontiers in …, 2021 - frontiersin.org
By engaging angiotensin-converting enzyme 2 (ACE2 or Ace2), the novel pathogenic
severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) invades host cells and …

Robust decomposition of cell type mixtures in spatial transcriptomics

DM Cable, E Murray, LS Zou, A Goeva… - Nature …, 2022 - nature.com
A limitation of spatial transcriptomics technologies is that individual measurements may
contain contributions from multiple cells, hindering the discovery of cell-type-specific spatial …

Deep learning and alignment of spatially resolved single-cell transcriptomes with Tangram

T Biancalani, G Scalia, L Buffoni, R Avasthi, Z Lu… - Nature …, 2021 - nature.com
Charting an organs' biological atlas requires us to spatially resolve the entire single-cell
transcriptome, and to relate such cellular features to the anatomical scale. Single-cell and …

SPARK-X: non-parametric modeling enables scalable and robust detection of spatial expression patterns for large spatial transcriptomic studies

J Zhu, S Sun, X Zhou - Genome biology, 2021 - Springer
Spatial transcriptomic studies are becoming increasingly common and large, posing
important statistical and computational challenges for many analytic tasks. Here, we present …

Cerebellar nuclei evolved by repeatedly duplicating a conserved cell-type set

JM Kebschull, EB Richman, N Ringach, D Friedmann… - Science, 2020 - science.org
INTRODUCTION The brains of extant animals have evolved over hundreds of millions of
years from simple circuits. Cell types diversified, connections elaborated, and new brain …

STRIDE: accurately decomposing and integrating spatial transcriptomics using single-cell RNA sequencing

D Sun, Z Liu, T Li, Q Wu, C Wang - Nucleic Acids Research, 2022 - academic.oup.com
The recent advances in spatial transcriptomics have brought unprecedented opportunities to
understand the cellular heterogeneity in the spatial context. However, the current limitations …

The cerebellar cortex

C Hull, WG Regehr - Annual review of neuroscience, 2022 - annualreviews.org
The cerebellar cortex is an important system for relating neural circuits and learning. Its
promise reflects the longstanding idea that it contains simple, repeated circuit modules with …