Mapping the transcriptional diversity of genetically and anatomically defined cell populations in the mouse brain
Understanding the principles governing neuronal diversity is a fundamental goal for neuroscience. Here, we provide an anatomical and transcriptomic database of nearly 200 genetically identified cell populations. By separately analyzing the robustness and pattern of expression differences across thes...
Main Authors: | , , , , , , , , , , , , , |
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Format: | Article |
Language: | English |
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eLife Sciences Publications Ltd
2019-04-01
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Series: | eLife |
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Online Access: | https://elifesciences.org/articles/38619 |
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author | Ken Sugino Erin Clark Anton Schulmann Yasuyuki Shima Lihua Wang David L Hunt Bryan M Hooks Dimitri Tränkner Jayaram Chandrashekar Serge Picard Andrew L Lemire Nelson Spruston Adam W Hantman Sacha B Nelson |
author_facet | Ken Sugino Erin Clark Anton Schulmann Yasuyuki Shima Lihua Wang David L Hunt Bryan M Hooks Dimitri Tränkner Jayaram Chandrashekar Serge Picard Andrew L Lemire Nelson Spruston Adam W Hantman Sacha B Nelson |
author_sort | Ken Sugino |
collection | DOAJ |
description | Understanding the principles governing neuronal diversity is a fundamental goal for neuroscience. Here, we provide an anatomical and transcriptomic database of nearly 200 genetically identified cell populations. By separately analyzing the robustness and pattern of expression differences across these cell populations, we identify two gene classes contributing distinctly to neuronal diversity. Short homeobox transcription factors distinguish neuronal populations combinatorially, and exhibit extremely low transcriptional noise, enabling highly robust expression differences. Long neuronal effector genes, such as channels and cell adhesion molecules, contribute disproportionately to neuronal diversity, based on their patterns rather than robustness of expression differences. By linking transcriptional identity to genetic strains and anatomical atlases, we provide an extensive resource for further investigation of mouse neuronal cell types. |
first_indexed | 2024-04-12T01:50:17Z |
format | Article |
id | doaj.art-4d2dcd9a16ad4c25bad67f96be08c705 |
institution | Directory Open Access Journal |
issn | 2050-084X |
language | English |
last_indexed | 2024-04-12T01:50:17Z |
publishDate | 2019-04-01 |
publisher | eLife Sciences Publications Ltd |
record_format | Article |
series | eLife |
spelling | doaj.art-4d2dcd9a16ad4c25bad67f96be08c7052022-12-22T03:52:57ZengeLife Sciences Publications LtdeLife2050-084X2019-04-01810.7554/eLife.38619Mapping the transcriptional diversity of genetically and anatomically defined cell populations in the mouse brainKen Sugino0https://orcid.org/0000-0002-5795-0635Erin Clark1https://orcid.org/0000-0002-4013-325XAnton Schulmann2Yasuyuki Shima3Lihua Wang4David L Hunt5Bryan M Hooks6https://orcid.org/0000-0003-0135-4284Dimitri Tränkner7Jayaram Chandrashekar8https://orcid.org/0000-0001-6412-0114Serge Picard9Andrew L Lemire10Nelson Spruston11https://orcid.org/0000-0003-3118-1636Adam W Hantman12Sacha B Nelson13https://orcid.org/0000-0002-0108-8599Janelia Research Campus, Ashburn, United StatesBrandeis University, Waltham, United StatesJanelia Research Campus, Ashburn, United StatesBrandeis University, Waltham, United StatesJanelia Research Campus, Ashburn, United StatesJanelia Research Campus, Ashburn, United StatesJanelia Research Campus, Ashburn, United StatesJanelia Research Campus, Ashburn, United StatesJanelia Research Campus, Ashburn, United StatesJanelia Research Campus, Ashburn, United StatesJanelia Research Campus, Ashburn, United StatesJanelia Research Campus, Ashburn, United StatesJanelia Research Campus, Ashburn, United StatesBrandeis University, Waltham, United StatesUnderstanding the principles governing neuronal diversity is a fundamental goal for neuroscience. Here, we provide an anatomical and transcriptomic database of nearly 200 genetically identified cell populations. By separately analyzing the robustness and pattern of expression differences across these cell populations, we identify two gene classes contributing distinctly to neuronal diversity. Short homeobox transcription factors distinguish neuronal populations combinatorially, and exhibit extremely low transcriptional noise, enabling highly robust expression differences. Long neuronal effector genes, such as channels and cell adhesion molecules, contribute disproportionately to neuronal diversity, based on their patterns rather than robustness of expression differences. By linking transcriptional identity to genetic strains and anatomical atlases, we provide an extensive resource for further investigation of mouse neuronal cell types.https://elifesciences.org/articles/38619neuronal diversitycell typesRNA-seqhomeobox transcription factorslong genes |
spellingShingle | Ken Sugino Erin Clark Anton Schulmann Yasuyuki Shima Lihua Wang David L Hunt Bryan M Hooks Dimitri Tränkner Jayaram Chandrashekar Serge Picard Andrew L Lemire Nelson Spruston Adam W Hantman Sacha B Nelson Mapping the transcriptional diversity of genetically and anatomically defined cell populations in the mouse brain eLife neuronal diversity cell types RNA-seq homeobox transcription factors long genes |
title | Mapping the transcriptional diversity of genetically and anatomically defined cell populations in the mouse brain |
title_full | Mapping the transcriptional diversity of genetically and anatomically defined cell populations in the mouse brain |
title_fullStr | Mapping the transcriptional diversity of genetically and anatomically defined cell populations in the mouse brain |
title_full_unstemmed | Mapping the transcriptional diversity of genetically and anatomically defined cell populations in the mouse brain |
title_short | Mapping the transcriptional diversity of genetically and anatomically defined cell populations in the mouse brain |
title_sort | mapping the transcriptional diversity of genetically and anatomically defined cell populations in the mouse brain |
topic | neuronal diversity cell types RNA-seq homeobox transcription factors long genes |
url | https://elifesciences.org/articles/38619 |
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