@article {65371, title = {CAMIO: a transgenic CRISPR pipeline to create diverse targeted genome deletions in Drosophila.}, journal = {Nucleic Acids Research}, year = {2020}, month = {2020 Mar 18}, abstract = {

The genome is the blueprint for an organism. Interrogating the genome, especially locating critical cis-regulatory elements, requires deletion analysis. This is conventionally performed using synthetic constructs, making it cumbersome and non-physiological. Thus, we created Cas9-mediated Arrayed Mutagenesis of Individual Offspring (CAMIO) to achieve comprehensive analysis of a targeted region of native DNA. CAMIO utilizes CRISPR that is spatially restricted to generate independent deletions in the intact Drosophila genome. Controlled by recombination, a single guide RNA is stochastically chosen from a set targeting a specific DNA region. Combining two sets increases variability, leading to either indels at 1-2 target sites or inter-target deletions. Cas9 restriction to male germ cells elicits autonomous double-strand-break repair, consequently creating offspring with diverse mutations. Thus, from a single population cross, we can obtain a deletion matrix covering a large expanse of DNA at both coarse and fine resolution. We demonstrate the ease and power of CAMIO by mapping 5{\textquoteright}UTR sequences crucial for chinmo{\textquoteright}s post-transcriptional regulation.

}, issn = {1362-4962}, doi = {10.1093/nar/gkaa177}, author = {Chen, Hui-Min and Marques, Jorge Garcia and Sugino, Ken and Wei, Dingjun and Miyares, Rosa Linda and Lee, Tzumin} } @article {65273, title = {Comprehensive transcriptome analysis of cochlear spiral ganglion neurons at multiple ages.}, journal = {eLife}, volume = {9}, year = {2020}, month = {2020 Jan 08}, abstract = {

Inner ear cochlear spiral ganglion neurons (SGNs) transmit auditory information to the brainstem. Recent single cell RNA-Seq studies have revealed heterogeneities within SGNs. Nonetheless, much remains unknown about the transcriptome of SGNs, especially which genes are specifically expressed in SGNs. To address these questions we needed a deeper and broader gene coverage than that in previous studies. We performed bulk RNA-Seq on mouse SGNs at five ages, and on two reference cell types (hair cells and glia). Their transcriptome comparison identified genes previously unknown to be specifically expressed in SGNs. To validate our dataset and provide useful genetic tools for this research field, we generated two knockin mouse strains: and . Our comprehensive analysis confirmed the SGN-selective expression of the candidate genes, testifying to the quality of our transcriptome data. These two mouse strains can be used to temporally label SGNs or to sort them.

}, issn = {2050-084X}, doi = {10.7554/eLife.50491}, author = {Li, Chao and Li, Xiang and Bi, Zhenghong and Sugino, Ken and Wang, Guangqin and Zhu, Tong and Liu, Zhiyong} } @article {65382, title = {Conservation and divergence of related neuronal lineages in the central brain.}, journal = {eLife}, volume = {9}, year = {2020}, month = {2020 Apr 07}, abstract = {

Wiring a complex brain requires many neurons with intricate cell specificity, generated by a limited number of neural stem cells. central brain lineages are a predetermined series of neurons, born in a specific order. To understand how lineage identity translates to neuron morphology, we mapped 18 central brain lineages. While we found large aggregate differences between lineages, we also discovered shared patterns of morphological diversification. Lineage identity plus Notch-mediated sister fate govern primary neuron trajectories, whereas temporal fate diversifies terminal elaborations. Further, morphological neuron types may arise repeatedly, interspersed with other types. Despite the complexity, related lineages produce similar neuron types in comparable temporal patterns. Different stem cells even yield two identical series of dopaminergic neuron types, but with unrelated sister neurons. Together, these phenomena suggest that straightforward rules drive incredible neuronal complexity, and that large changes in morphology can result from relatively simple fating mechanisms.

}, issn = {2050-084X}, doi = {10.7554/eLife.53518}, author = {Lee, Ying-Jou and Yang, Ching-Po and Miyares, Rosa L and Huang, Yu-Fen and He, Yisheng and Ren, Qingzhong and Chen, Hui-Min and Kawase, Takashi and Ito, Masayoshi and Otsuna, Hideo and Sugino, Ken and Aso, Yoshi and Ito, Kei and Lee, Tzumin} } @article {68341, title = {Dense reconstruction of elongated cell lineages: overcoming suboptimum lineage encoding and sparse cell sampling}, journal = {bioRxiv}, year = {2020}, month = {07/2020}, abstract = {

Acquiring both lineage and cell-type information during brain development could elucidate transcriptional programs underling neuronal diversification. This is now feasible with single-cell RNA-seq combined with CRISPR-based lineage tracing, which generates genetic barcodes with cumulative CRISPR edits. This technique has not yet been optimized to deliver high-resolution lineage reconstruction of protracted lineages. Drosophila neuronal lineages are an ideal model to consider, as multiple lineages have been morphologically mapped at single-cell resolution. Here we find the parameter ranges required to encode a representative neuronal lineage emanating from 100 stem cell divisions. We derive the optimum editing rate to be inversely proportional to lineage depth, enabling encoding to persist across lineage progression. Further, we experimentally determine the editing rates of a Cas9-deaminase in cycling neural stem cells, finding near ideal rates to map elongated Drosophila neuronal lineages. Moreover, we propose and evaluate strategies to separate recurring cell-types for lineage reconstruction. Finally, we present a simple method to combine multiple experiments, which permits dense reconstruction of protracted cell lineages despite suboptimum lineage encoding and sparse cell sampling.Competing Interest StatementThe authors have declared no competing interest.

}, doi = {10.1101/2020.07.27.223321}, url = {https://www.biorxiv.org/content/early/2020/07/29/2020.07.27.223321}, author = {Sugino, Ken and Miyares, Rosa L. and Espinosa-Medina, Isabel and Chen, Hui-Min and Potter, Christopher J and Lee, Tzumin} } @article {65160, title = {Mamo decodes hierarchical temporal gradients into terminal neuronal fate.}, journal = {Elife}, volume = {8}, year = {2019}, month = {2019 Sep 23}, abstract = {

Temporal patterning is a seminal method of expanding neuronal diversity. Here we unravel a mechanism decoding neural stem cell temporal gene expression and transforming it into discrete neuronal fates. This mechanism is characterized by hierarchical gene expression. First, neuroblasts express opposing temporal gradients of RNA-binding proteins, Imp and Syp. These proteins promote or inhibit translation, yielding a descending neuronal gradient. Together, first and second-layer temporal factors define a temporal expression window of BTB-zinc finger nuclear protein, Mamo. The precise temporal induction of Mamo is achieved via both transcriptional and post-transcriptional regulation. Finally, Mamo is essential for the temporally defined, terminal identity of α{\textquoteright}/β{\textquoteright} mushroom body neurons and identity maintenance. We describe a straightforward paradigm of temporal fate specification where diverse neuronal fates are defined via integrating multiple layers of gene regulation. The neurodevelopmental roles of orthologous/related mammalian genes suggest a fundamental conservation of this mechanism in brain development.

}, issn = {2050-084X}, doi = {10.7554/eLife.48056}, author = {Liu, Ling-Yu and Long, Xi and Yang, Ching-Po and Miyares, Rosa L and Sugino, Ken and Singer, Robert H and Lee, Tzumin} } @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 {68340, title = {Theoretical modeling on CRISPR-coded cell lineages: efficient encoding and optimal reconstruction}, journal = {bioRxiv}, year = {2019}, month = {04/2019}, abstract = {

Delineating cell lineages is a prerequisite for interrogating the genesis of cell types. CRISPR/Cas9 can edit genomic sequence during development which enables to trace cell lineages. Recent studies have demonstrated the feasibility of this idea. However, the optimality of the encoding or reconstruction processes has not been adequately addressed. Here, we surveyed a multitude of reconstruction algorithms and found hierarchical clustering, with a metric based on the number of shared Cas9 edits, delivers the best reconstruction. However, the trackable depth is ultimately limited by the number of available coding units that typically decrease exponentially across cell generations. To overcome this limit, we established two strategies that better sustain the coding capacity. One involves controlling target availability via use of parallel gRNA cascades, whereas the other strategy exploits adjustable Cas9/gRNA editing rates. In summary, we provide a theoretical basis in understanding, designing, and analyzing robust CRISPR barcodes for dense reconstruction of protracted cell lineages.

}, doi = {10.1101/538488}, url = {https://www.biorxiv.org/content/early/2019/04/14/538488}, author = {Sugino, Ken and Garcia-Marques, Jorge and Espinosa-Medina, Isabel and Lee, Tzumin} } @article {51794, title = {High-resolution transcriptional dissection of in vivo Atoh1-mediated hair cell conversion in mature cochleae identifies Isl1 as a co-reprogramming factor.}, journal = {PLoS Genetics}, volume = {14}, year = {2018}, month = {2018 07}, pages = {e1007552}, abstract = {

In vivo direct conversion of differentiated cells holds promise for regenerative medicine; however, improving the conversion efficiency and producing functional target cells remain challenging. Ectopic Atoh1 expression in non-sensory supporting cells (SCs) in mouse cochleae induces their partial conversion to hair cells (HCs) at low efficiency. Here, we performed single-cell RNA sequencing of whole mouse sensory epithelia harvested at multiple time points after conditional overexpression of Atoh1. Pseudotemporal ordering revealed that converted HCs (cHCs) are present along a conversion continuum that correlates with both endogenous and exogenous Atoh1 expression. Bulk sequencing of isolated cell populations and single-cell qPCR confirmed 51 transcription factors, including Isl1, are differentially expressed among cHCs, SCs and HCs. In transgenic mice, co-overexpression of Atoh1 and Isl1 enhanced the HC conversion efficiency. Together, our study shows how high-resolution transcriptional profiling of direct cell conversion can identify co-reprogramming factors required for efficient conversion.

}, keywords = {Animals, Animals, Newborn, Basic Helix-Loop-Helix Transcription Factors, Cellular Reprogramming, Gene Expression Profiling, Hair Cells, Auditory, LIM-Homeodomain Proteins, Mice, Mice, Inbred C57BL, Mice, Transgenic, Regeneration, Sequence Analysis, RNA, Single-Cell Analysis, Transcription Factors}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1007552}, author = {Yamashita, Tetsuji and Zheng, Fei and Finkelstein, David and Kellard, Zoe and Carter, Robert and Rosencrance, Celeste D and Sugino, Ken and Easton, John and Gawad, Charles and Zuo, Jian} } @article {48435, title = {Stem cell-intrinsic, seven-up-triggered temporal factor gradients diversify intermediate neural progenitors.}, journal = {Current Biology : CB}, volume = {27}, year = {2017}, month = {2017 Apr 10}, pages = {1303-13}, abstract = {

Building a sizable, complex brain requires both cellular expansion and diversification. One mechanism to achieve these goals is production of multiple transiently amplifying intermediate neural progenitors (INPs) from a single neural stem cell. Like mammalian neural stem cells, Drosophila type II neuroblasts utilize INPs to produce neurons and glia. Within a given lineage, the consecutively born INPs produce morphologically distinct progeny, presumably due to differential inheritance of temporal factors. To uncover the underlying temporal fating mechanisms, we profiled type II neuroblasts{\textquoteright} transcriptome across time. Our results reveal opposing temporal gradients of Imp and Syp RNA-binding proteins (descending and ascending, respectively). Maintaining high Imp throughout serial INP production expands the number of neurons and glia with early temporal fate at the expense of cells with late fate. Conversely, precocious upregulation of Syp reduces the number of cells with early fate. Furthermore, we reveal that the transcription factor Seven-up initiates progression of the Imp/Syp gradients. Interestingly, neuroblasts that maintain initial Imp/Syp levels can still yield progeny with a small range of early fates. We therefore propose that the Seven-up-initiated Imp/Syp gradients create coarse temporal windows within type II neuroblasts to pattern INPs, which subsequently undergo fine-tuned subtemporal patterning.

}, issn = {1879-0445}, doi = {10.1016/j.cub.2017.03.047}, author = {Ren, Qingzhong and Yang, Ching-Po and Liu, Zhiyong and Sugino, Ken and Mok, Kent and He, Yisheng and Ito, Masayoshi and Nern, Aljoscha and Otsuna, Hideo and Lee, Tzumin} } @article {47442, title = {Hipposeq: a comprehensive RNA-seq database of gene expression in hippocampal principal neurons.}, journal = {eLife}, volume = {5}, year = {2016}, month = {2016}, abstract = {

Clarifying gene expression in narrowly defined neuronal populations can provide insight into cellular identity, computation, and functionality. Here, we used next-generation RNA sequencing (RNA-seq) to produce a quantitative, whole genome characterization of gene expression for the major excitatory neuronal classes of the hippocampus; namely, granule cells and mossy cells of the dentate gyrus, and pyramidal cells of areas CA3, CA2, and CA1. Moreover, for the canonical cell classes of the trisynaptic loop, we profiled transcriptomes at both dorsal and ventral poles, producing a cell-class- and region-specific transcriptional description for these populations. This dataset clarifies the transcriptional properties and identities of lesser-known cell classes, and moreover reveals unexpected variation in the trisynaptic loop across the dorsal-ventral axis. We have created a public resource, Hipposeq (http://hipposeq.janelia.org), which provides analysis and visualization of these data and will act as a roadmap relating molecules to cells, circuits, and computation in the hippocampus.

}, issn = {2050-084X}, doi = {10.7554/eLife.14997}, author = {Cembrowski, Mark S and Wang, Lihua and Sugino, Ken and Shields, Brenda C and Spruston, Nelson} } @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 {47552, title = {Near-perfect synaptic integration by Nav1.7 in hypothalamic neurons regulates body weight.}, journal = {Cell}, volume = {165}, year = {2016}, month = {2016 Jun 16}, pages = {1749-61}, abstract = {

Neurons are well suited for computations on millisecond timescales, but some neuronal circuits set behavioral states over long time periods, such as those involved in energy homeostasis. We found that multiple types of hypothalamic neurons, including those that oppositely regulate body weight, are specialized as near-perfect synaptic integrators that summate inputs over extended timescales. Excitatory postsynaptic potentials (EPSPs) are greatly prolonged, outlasting the neuronal membrane time-constant up to 10-fold. This is due to the voltage-gated sodium channel Nav1.7 (Scn9a), previously associated with pain-sensation but not synaptic integration.\ Scn9a\ deletion in AGRP, POMC, or paraventricular hypothalamic neurons reduced EPSP duration, synaptic integration, and altered body weight in mice. In\ vivo whole-cell recordings in the hypothalamus confirmed near-perfect synaptic integration. These experiments show that integration of synaptic inputs over time by Nav1.7 is critical for body weight regulation and reveal a mechanism for synaptic control of circuits regulating long term homeostatic functions.

}, doi = {10.1016/j.cell.2016.05.019}, author = {Branco, Tiago and Tozer, Adam and Magnus, Christopher J and Sugino, Ken and Tanaka, Shinsuke and Lee, Albert K and Wood, John N and Sternson, Scott M} } @article {47278, title = {Spatial gene-expression gradients underlie prominent heterogeneity of CA1 pyramidal neurons.}, journal = {Neuron}, year = {2016}, month = {2016 Jan 13}, abstract = {

Tissue and organ function has been conventionally understood in terms of the interactions among discrete and homogeneous cell types. This approach has proven difficult in neuroscience due to the marked diversity across different neuron classes, but it may be further hampered by prominent within-class variability. Here, we considered a well-defined canonical neuronal population-hippocampal CA1 pyramidal cells (CA1 PCs)-and systematically examined the extent and spatial rules of transcriptional heterogeneity. Using next-generation RNA sequencing, we identified striking variability in CA1 PCs, such that the differences within CA1 along the dorsal-ventral axis rivaled differences across distinct pyramidal neuron classes. This variability emerged from a spectrum of continuous gene-expression gradients, producing a transcriptional profile consistent with a multifarious continuum of cells. This work reveals an unexpected amount of variability within a canonical and narrowly defined neuronal population and suggests that continuous, within-class heterogeneity may be an important feature of neural circuits.

}, issn = {1097-4199}, doi = {10.1016/j.neuron.2015.12.013}, author = {Cembrowski, Mark S and Bachman, Julia L and Wang, Lihua and Sugino, Ken and Shields, Brenda C and Spruston, Nelson} } @article {47307, title = {Transcriptomes of lineage-specific Drosophila neuroblasts profiled by genetic targeting and robotic sorting.}, journal = {Development (Cambridge, England)}, volume = {143}, year = {2016}, month = {2016 Feb 1}, pages = {411-21}, abstract = {

A brain consists of numerous distinct neurons arising from a limited number of progenitors, called neuroblasts in Drosophila. Each neuroblast produces a specific neuronal lineage. To unravel the transcriptional networks that underlie the development of distinct neuroblast lineages, we marked and isolated lineage-specific neuroblasts for RNA sequencing. We labeled particular neuroblasts throughout neurogenesis by activating a conditional neuroblast driver in specific lineages using various intersection strategies. The targeted neuroblasts were efficiently recovered using a custom-built device for robotic single-cell picking. Transcriptome analysis of mushroom body, antennal lobe and type II neuroblasts compared with non-selective neuroblasts, neurons and glia revealed a rich repertoire of transcription factors expressed among neuroblasts in diverse patterns. Besides transcription factors that are likely to be pan-neuroblast, many transcription factors exist that are selectively enriched or repressed in certain neuroblasts. The unique combinations of transcription factors present in different neuroblasts may govern the diverse lineage-specific neuron fates.

}, issn = {1477-9129}, doi = {10.1242/dev.129163}, author = {Yang, Ching-Po and Fu, Chi-Cheng and Sugino, Ken and Liu, Zhiyong and Ren, Qingzhong and Liu, Ling-Yu and Yao, Xiaohao and Lee, Luke P and Lee, Tzumin} } @article {47033, title = {Cell type-specific transcriptomics of hypothalamic energy-sensing neuron responses to weight-loss.}, journal = {eLife}, volume = {4}, year = {2015}, month = {2015 Sep 2}, abstract = {

Molecular and cellular processes in neurons are critical for sensing and responding to energy deficit states, such as during weight-loss. AGRP neurons are a key hypothalamic population that is activated during energy deficit and increases appetite and weight-gain. Cell type-specific transcriptomics can be used to identify pathways that counteract weight-loss, and here we report high-quality gene expression profiles of AGRP neurons from well-fed and food-deprived young adult mice. For comparison, we also analyzed POMC neurons, an intermingled population that suppresses appetite and body weight. We find that AGRP neurons are considerably more sensitive to energy deficit than POMC neurons. Furthermore, we identify cell type-specific pathways involving endoplasmic reticulum-stress, circadian signaling, ion channels, neuropeptides, and receptors. Combined with methods to validate and manipulate these pathways, this resource greatly expands molecular insight into neuronal regulation of body weight, and may be useful for devising therapeutic strategies for obesity and eating disorders.

}, issn = {2050-084X}, doi = {10.7554/eLife.09800}, author = {Henry, Fredrick E and Sugino, Ken and Tozer, Adam and Branco, Tiago and Sternson, Scott M} } @article {47126, title = {Opposing intrinsic temporal gradients guide neural stem cell production of varied neuronal fates.}, journal = {Science (New York, N.Y.)}, volume = {350}, year = {2015}, month = {2015 Oct 16}, pages = {317-20}, abstract = {

Neural stem cells show age-dependent developmental potentials, as evidenced by their production of distinct neuron types at different developmental times. Drosophila neuroblasts produce long, stereotyped lineages of neurons. We searched for factors that could regulate neural temporal fate by RNA-sequencing lineage-specific neuroblasts at various developmental times. We found that two RNA-binding proteins, IGF-II mRNA-binding protein (Imp) and Syncrip (Syp), display opposing high-to-low and low-to-high temporal gradients with lineage-specific temporal dynamics. Imp and Syp promote early and late fates, respectively, in both a slowly progressing and a rapidly changing lineage. Imp and Syp control neuronal fates in the mushroom body lineages by regulating the temporal transcription factor Chinmo translation. Together, the opposing Imp/Syp gradients encode stem cell age, specifying multiple cell fates within a lineage.

}, issn = {1095-9203}, doi = {10.1126/science.aad1886}, author = {Liu, Zhiyong and Yang, Ching-Po and Sugino, Ken and Fu, Chi-Cheng and Liu, Ling-Yu and Yao, Xiaohao and Lee, Luke P and Lee, Tzumin} } @article {6952, title = {Cell-type-based model explaining coexpression patterns of genes in the brain.}, journal = {Proceedings of the National Academy of Sciences of the United States of America}, volume = {111}, year = {2014}, month = {2014 Apr 8}, pages = {5397-402}, abstract = {

Spatial patterns of gene expression in the vertebrate brain are not independent, as pairs of genes can exhibit complex patterns of coexpression. Two genes may be similarly expressed in one region, but differentially expressed in other regions. These correlations have been studied quantitatively, particularly for the Allen Atlas of the adult mouse brain, but their biological meaning remains obscure. We propose a simple model of the coexpression patterns in terms of spatial distributions of underlying cell types and establish its plausibility using independently measured cell-type-specific transcriptomes. The model allows us to predict the spatial distribution of cell types in the mouse brain.

}, issn = {1091-6490}, doi = {10.1073/pnas.1312098111}, author = {Grange, Pascal and Bohland, Jason W and Okaty, Benjamin W and Sugino, Ken and Bokil, Hemant and Nelson, Sacha B and Ng, Lydia and Hawrylycz, Michael and Mitra, Partha P} } @article {45638, title = {Cell-type-specific repression by methyl-CpG-binding protein 2 is biased toward long genes.}, journal = {Journal of Neuroscience}, volume = {34}, year = {2014}, month = {2014 Sep 17}, pages = {12877-83}, abstract = {

Mutations in methyl-CpG-binding protein 2 (MeCP2) cause Rett syndrome and related autism spectrum disorders (Amir et al., 1999). MeCP2 is believed to be required for proper regulation of brain gene expression, but prior microarray studies in Mecp2 knock-out mice using brain tissue homogenates have revealed only subtle changes in gene expression (Tudor et al., 2002; Nuber et al., 2005; Jordan et al., 2007; Chahrour et al., 2008). Here, by profiling discrete subtypes of neurons we uncovered more dramatic effects of MeCP2 on gene expression, overcoming the "dilution problem" associated with assaying homogenates of complex tissues. The results reveal misregulation of genes involved in neuronal connectivity and communication. Importantly, genes upregulated following loss of MeCP2 are biased toward longer genes but this is not true for downregulated genes, suggesting MeCP2 may selectively repress long genes. Because genes involved in neuronal connectivity and communication, such as cell adhesion and cell-cell signaling genes, are enriched among longer genes, their misregulation following loss of MeCP2 suggests a possible etiology for altered circuit function in Rett syndrome.

}, issn = {1529-2401}, doi = {10.1523/JNEUROSCI.2674-14.2014}, author = {Sugino, Ken and Hempel, Chris M and Okaty, Benjamin W and Arnson, Hannah A and Kato, Saori and Dani, Vardhan S and Nelson, Sacha B} } @article {45336, title = {Population of sensory neurons essential for asthmatic hyperreactivity of inflamed airways.}, journal = {Proceedings of the National Academy of Sciences of the United States of America}, volume = {111}, year = {2014}, month = {2014 Aug 5}, pages = {11515-20}, abstract = {

Asthma is a common debilitating inflammatory lung disease affecting over 200 million people worldwide. Here, we investigated neurogenic components involved in asthmatic-like attacks using the ovalbumin-sensitized murine model of the disease, and identified a specific population of neurons that are required for airway hyperreactivity. We show that ablating or genetically silencing these neurons abolished the hyperreactive broncho-constrictions, even in the presence of a fully developed lung inflammatory immune response. These neurons are found in the vagal ganglia and are characterized by the expression of the transient receptor potential vanilloid 1 (TRPV1) ion channel. However, the TRPV1 channel itself is not required for the asthmatic-like hyperreactive airway response. We also demonstrate that optogenetic stimulation of this population of TRP-expressing cells with channelrhodopsin dramatically exacerbates airway hyperreactivity of inflamed airways. Notably, these cells express the sphingosine-1-phosphate receptor 3 (S1PR3), and stimulation with a S1PR3 agonist efficiently induced broncho-constrictions, even in the absence of ovalbumin sensitization and inflammation. Our results show that the airway hyperreactivity phenotype can be physiologically dissociated from the immune component, and provide a platform for devising therapeutic approaches to asthma that target these pathways separately.

}, issn = {1091-6490}, doi = {10.1073/pnas.1411032111}, author = {Tr{\"a}nkner, Dimitri and Hahne, Nadeau and Sugino, Ken and Hoon, Mark A and Zuker, Charles} } @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} }