Chen, Xiaoyin, Sun, Yu-Chi, Zhan, Huiqing, Kebschull, Justus, Fischer, Stephan, Matho, Katherine, Josh Huang, Z, Gillis, Jesse, Zador, Anthony (July 2019) High-throughput mapping of long-range neuronal projection using <i>in situ</i> sequencing. BioRxiv. (Unpublished)
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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 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 3579 neurons in mouse auditory cortex using BARseq confirmed the laminar organization of the three top classes (IT, PT-like and CT) of projection neurons. In depth analysis uncovered a novel 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.
| Item Type: | Paper |
|---|---|
| Subjects: | organs, tissues, organelles, cell types and functions > tissues types and functions > auditory cortex Investigative techniques and equipment > BARseq neurobiology > neuroscience |
| CSHL Authors: | |
| Communities: | CSHL labs > Gillis Lab CSHL labs > Huang lab CSHL labs > Zador lab |
| SWORD Depositor: | CSHL Elements |
| Depositing User: | CSHL Elements |
| Date: | 30 July 2019 |
| Date Deposited: | 25 May 2022 15:31 |
| Last Modified: | 25 May 2022 15:31 |
| URI: | https://repository.cshl.edu/id/eprint/40621 |
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