@article {64874, title = {Mapping the transcriptional diversity of genetically and anatomically defined cell populations in the mouse brain.}, journal = {Elife}, volume = {8}, year = {2019}, month = {2019 Apr 12}, abstract = {

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.

}, issn = {2050-084X}, doi = {10.7554/eLife.38619}, author = {Sugino, Ken and Clark, Erin and Schulmann, Anton and Shima, Yasuyuki and Wang, Lihua and Hunt, David L and Hooks, Bryan M and Traenkner, Dimitri and Chandrashekar, Jayaram and Picard, Serge and Lemire, Andrew L and Spruston, Nelson and Hantman, Adam W and Nelson, Sacha B} } @article {47383, title = {A mammalian enhancer trap resource for discovering and manipulating neuronal cell types.}, journal = {eLife}, volume = {5}, year = {2016}, month = {2016 Mar 21}, abstract = {

There is a continuing need for driver strains to enable cell type-specific manipulation in the nervous system. Each cell type expresses a unique set of genes, and recapitulating expression of marker genes by BAC transgenesis or knock-in has generated useful transgenic mouse lines. However since genes are often expressed in many cell types, many of these lines have relatively broad expression patterns. We report an alternative transgenic approach capturing distal enhancers for more focused expression. We identified an enhancer trap probe often producing restricted reporter expression and developed efficient enhancer trap screening with the PiggyBac transposon. We established more than 200 lines and found many lines that label small subsets of neurons in brain substructures, including known and novel cell types. Images and other information about each line are available online (enhancertrap.bio.brandeis.edu).

}, issn = {2050-084X}, doi = {10.7554/eLife.13503}, author = {Shima, Yasuyuki and Sugino, Ken and Hempel, Chris and Shima, Masami and Taneja, Praveen and Bullis, James B and Mehta, Sonam and Lois, Carlos and Nelson, Sacha B} } @article {5893, title = {Convergence of pontine and proprioceptive streams onto multimodal cerebellar granule cells.}, journal = {eLife}, volume = {2}, year = {2013}, month = {2013 Feb 26}, pages = {e00400}, abstract = {

Cerebellar granule cells constitute the majority of neurons in the brain and are the primary conveyors of sensory and motor-related mossy fiber information to Purkinje cells. The functional capability of the cerebellum hinges on whether individual granule cells receive mossy fiber inputs from multiple precerebellar nuclei or are instead unimodal; this distinction is unresolved. Using cell-type-specific projection mapping with synaptic resolution, we observed the convergence of separate sensory (upper body proprioceptive) and basilar pontine pathways onto individual granule cells and mapped this convergence across cerebellar cortex. These findings inform the long-standing debate about the multimodality of mammalian granule cells and substantiate their associative capacity predicted in the Marr-Albus theory of cerebellar function. We also provide evidence that the convergent basilar pontine pathways carry corollary discharges from upper body motor cortical areas. Such merging of related corollary and sensory streams is a critical component of circuit models of predictive motor control. DOI:http://dx.doi.org/10.7554/eLife.00400.001.

}, issn = {2050-084X}, doi = {10.7554/eLife.00400}, author = {Huang, Cheng-Chiu and Sugino, Ken and Shima, Yasuyuki and Guo, Caiying and Bai, Suxia and Mensh, Brett D and Nelson, Sacha B and Hantman, Adam W} }