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- W2980964315 abstract "Understanding neural circuits requires deciphering interactions among myriad cell types defined by spatial organization, connectivity, gene expression, and other properties. Resolving these cell types requires both single-neuron resolution and high throughput, a challenging combination with conventional methods. Here, we introduce barcoded anatomy resolved by sequencing (BARseq), a multiplexed method based on RNA barcoding for mapping projections of thousands of spatially resolved neurons in a single brain and relating those projections to other properties such as gene or Cre expression. Mapping the projections to 11 areas of 3,579 neurons in mouse auditory cortex using BARseq confirmed the laminar organization of the three top classes (intratelencephalic [IT], pyramidal tract-like [PT-like], and corticothalamic [CT]) of projection neurons. In depth analysis uncovered a projection type restricted almost exclusively to transcriptionally defined subtypes of IT neurons. By bridging anatomical and transcriptomic approaches at cellular resolution with high throughput, BARseq can potentially uncover the organizing principles underlying the structure and formation of neural circuits." @default.
- W2980964315 created "2019-10-25" @default.
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- W2980964315 date "2019-10-01" @default.
- W2980964315 modified "2023-10-17" @default.
- W2980964315 title "High-Throughput Mapping of Long-Range Neuronal Projection Using In Situ Sequencing" @default.
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- W2980964315 doi "https://doi.org/10.1016/j.cell.2019.09.023" @default.
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