Shared and distinct transcriptomic cell types across neocortical areas
Kimberly A Smith,
Lucas T Graybuck,
Thuc Nghi Nguyen,
Michael N Economo,
Trygve E. Bakken,
Jeremy A. Miller,
Olivia C Fong,
Karla E. Hirokawa,
Nadiya V Shapovalova,
Tae Kyung Kim,
Julie A Harris,
Boaz P. Levi,
Tanya L. Daigle,
Ed S. Lein,
Allan R. Jones,
Posted 06 Dec 2017
bioRxiv DOI: 10.1101/229542 (published DOI: 10.1038/s41586-018-0654-5)
Posted 06 Dec 2017
Neocortex contains a multitude of cell types segregated into layers and functionally distinct regions. To investigate the diversity of cell types across the mouse neocortex, we analyzed 12,714 cells from the primary visual cortex (VISp), and 9,035 cells from the anterior lateral motor cortex (ALM) by deep single-cell RNA-sequencing (scRNA-seq), identifying 116 transcriptomic cell types. These two regions represent distant poles of the neocortex and perform distinct functions. We define 50 inhibitory transcriptomic cell types, all of which are shared across both cortical regions. In contrast, 49 of 52 excitatory transcriptomic types were found in either VISp or ALM, with only three present in both. By combining single cell RNA-seq and retrograde labeling, we demonstrate correspondence between excitatory transcriptomic types and their region-specific long-range target specificity. This study establishes a combined transcriptomic and projectional taxonomy of cortical cell types from functionally distinct regions of the mouse cortex.
- Downloaded 7,150 times
- Download rankings, all-time:
- Site-wide: 1,429
- In neuroscience: 65
- Year to date:
- Site-wide: 26,654
- Since beginning of last month:
- Site-wide: 25,135
Downloads over time
Distribution of downloads per paper, site-wide
- 27 Nov 2020: The website and API now include results pulled from medRxiv as well as bioRxiv.
- 18 Dec 2019: We're pleased to announce PanLingua, a new tool that enables you to search for machine-translated bioRxiv preprints using more than 100 different languages.
- 21 May 2019: PLOS Biology has published a community page about Rxivist.org and its design.
- 10 May 2019: The paper analyzing the Rxivist dataset has been published at eLife.
- 1 Mar 2019: We now have summary statistics about bioRxiv downloads and submissions.
- 8 Feb 2019: Data from Altmetric is now available on the Rxivist details page for every preprint. Look for the "donut" under the download metrics.
- 30 Jan 2019: preLights has featured the Rxivist preprint and written about our findings.
- 22 Jan 2019: Nature just published an article about Rxivist and our data.
- 13 Jan 2019: The Rxivist preprint is live!