Publications by authors named "L Ellingwood"

The mammalian brain consists of millions to billions of cells that are organized into many cell types with specific spatial distribution patterns and structural and functional properties. Here we report a comprehensive and high-resolution transcriptomic and spatial cell-type atlas for the whole adult mouse brain. The cell-type atlas was created by combining a single-cell RNA-sequencing (scRNA-seq) dataset of around 7 million cells profiled (approximately 4.

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Article Synopsis
  • The brain of a mouse has millions of different cells, and scientists want to make a complete list of these cell types to understand how the brain works.
  • Researchers created a detailed map of these cells by studying around 7 million cells with a special technique that looks at their genes and how they are placed in the brain.
  • They discovered that there are many different types of cells in the brain, with some areas being very unique, like the dorsal part having fewer but more distinct types, while the ventral part has many similar types.
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We present a unique, extensive, and open synaptic physiology analysis platform and dataset. Through its application, we reveal principles that relate cell type to synaptic properties and intralaminar circuit organization in the mouse and human cortex. The dynamics of excitatory synapses align with the postsynaptic cell subclass, whereas inhibitory synapse dynamics partly align with presynaptic cell subclass but with considerable overlap.

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Neurons are frequently classified into distinct types on the basis of structural, physiological, or genetic attributes. To better constrain the definition of neuronal cell types, we characterized the transcriptomes and intrinsic physiological properties of over 4,200 mouse visual cortical GABAergic interneurons and reconstructed the local morphologies of 517 of those neurons. We find that most transcriptomic types (t-types) occupy specific laminar positions within visual cortex, and, for most types, the cells mapping to a t-type exhibit consistent electrophysiological and morphological properties.

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Background: This multicenter incident cohort aimed to characterize how often early rheumatoid arthritis (ERA) patients self-report episodic joint inflammation (palindromic rheumatism) preceding ERA diagnosis and which characteristics differentiate these patients from those without prior episodic symptoms.

Methods: Data were from patients with early confirmed or suspected RA (more than 6 weeks and less than 12 months) enrolled in the Canadian Early ArThritis CoHort (CATCH) between April 2017 to March 2018 who completed study case report forms assessing joint pain and swelling prior to ERA diagnosis. Chi-square and tests were used to compare characteristics of patients with and without self-reported episodic joint inflammation prior to ERA diagnosis.

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