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dc.contributor.authorYao, Zizhen
dc.contributor.authorLiu, Hanqing
dc.contributor.authorXie, Fangming
dc.contributor.authorFischer, Stephan
dc.contributor.authorAdkins, Ricky S
dc.contributor.authorAldridge, Andrew I
dc.contributor.authorAment, Seth A
dc.contributor.authorBartlett, Anna
dc.contributor.authorBehrens, M Margarita
dc.contributor.authorVan den Berge, Koen
dc.contributor.authorBertagnolli, Darren
dc.contributor.authorde Bézieux, Hector Roux
dc.contributor.authorBiancalani, Tommaso
dc.contributor.authorBooeshaghi, A Sina
dc.contributor.authorBravo, Héctor Corrada
dc.contributor.authorCasper, Tamara
dc.contributor.authorColantuoni, Carlo
dc.contributor.authorCrabtree, Jonathan
dc.contributor.authorCreasy, Heather
dc.contributor.authorCrichton, Kirsten
dc.contributor.authorCrow, Megan
dc.contributor.authorDee, Nick
dc.contributor.authorDougherty, Elizabeth L
dc.contributor.authorDoyle, Wayne I
dc.contributor.authorDudoit, Sandrine
dc.contributor.authorFang, Rongxin
dc.contributor.authorFelix, Victor
dc.contributor.authorFong, Olivia
dc.contributor.authorGiglio, Michelle
dc.contributor.authorGoldy, Jeff
dc.contributor.authorHawrylycz, Mike
dc.contributor.authorHerb, Brian R
dc.contributor.authorHertzano, Ronna
dc.contributor.authorHou, Xiaomeng
dc.contributor.authorHu, Qiwen
dc.contributor.authorKancherla, Jayaram
dc.contributor.authorKroll, Matthew
dc.contributor.authorLathia, Kanan
dc.contributor.authorLi, Yang Eric
dc.contributor.authorLucero, Jacinta D
dc.contributor.authorLuo, Chongyuan
dc.contributor.authorMahurkar, Anup
dc.contributor.authorMcMillen, Delissa
dc.contributor.authorNadaf, Naeem M
dc.contributor.authorNery, Joseph R
dc.contributor.authorNguyen, Thuc Nghi
dc.contributor.authorNiu, Sheng-Yong
dc.contributor.authorNtranos, Vasilis
dc.contributor.authorOrvis, Joshua
dc.contributor.authorOsteen, Julia K
dc.contributor.authorPham, Thanh
dc.contributor.authorPinto-Duarte, Antonio
dc.contributor.authorPoirion, Olivier
dc.contributor.authorPreissl, Sebastian
dc.contributor.authorPurdom, Elizabeth
dc.contributor.authorRimorin, Christine
dc.contributor.authorRisso, Davide
dc.contributor.authorRivkin, Angeline C
dc.contributor.authorSmith, Kimberly
dc.contributor.authorStreet, Kelly
dc.contributor.authorSulc, Josef
dc.contributor.authorSvensson, Valentine
dc.contributor.authorTieu, Michael
dc.contributor.authorTorkelson, Amy
dc.contributor.authorTung, Herman
dc.contributor.authorVaishnav, Eeshit Dhaval
dc.contributor.authorVanderburg, Charles R
dc.contributor.authorvan Velthoven, Cindy
dc.contributor.authorWang, Xinxin
dc.contributor.authorWhite, Owen R
dc.contributor.authorHuang, Z Josh
dc.contributor.authorKharchenko, Peter V
dc.contributor.authorPachter, Lior
dc.contributor.authorNgai, John
dc.contributor.authorRegev, Aviv
dc.contributor.authorTasic, Bosiljka
dc.contributor.authorWelch, Joshua D
dc.contributor.authorGillis, Jesse
dc.contributor.authorMacosko, Evan Z
dc.contributor.authorRen, Bing
dc.contributor.authorEcker, Joseph R
dc.contributor.authorZeng, Hongkui
dc.contributor.authorMukamel, Eran A
dc.date.accessioned2021-10-19T19:40:26Z
dc.date.available2021-10-19T19:40:26Z
dc.date.issued2021-10-06
dc.identifier.urihttp://hdl.handle.net/10713/16884
dc.description.abstractSingle-cell transcriptomics can provide quantitative molecular signatures for large, unbiased samples of the diverse cell types in the brain1-3. With the proliferation of multi-omics datasets, a major challenge is to validate and integrate results into a biological understanding of cell-type organization. Here we generated transcriptomes and epigenomes from more than 500,000 individual cells in the mouse primary motor cortex, a structure that has an evolutionarily conserved role in locomotion. We developed computational and statistical methods to integrate multimodal data and quantitatively validate cell-type reproducibility. The resulting reference atlas-containing over 56 neuronal cell types that are highly replicable across analysis methods, sequencing technologies and modalities-is a comprehensive molecular and genomic account of the diverse neuronal and non-neuronal cell types in the mouse primary motor cortex. The atlas includes a population of excitatory neurons that resemble pyramidal cells in layer 4 in other cortical regions4. We further discovered thousands of concordant marker genes and gene regulatory elements for these cell types. Our results highlight the complex molecular regulation of cell types in the brain and will directly enable the design of reagents to target specific cell types in the mouse primary motor cortex for functional analysis.en_US
dc.description.urihttps://doi.org/10.1038/s41586-021-03500-8en_US
dc.language.isoenen_US
dc.publisherSpringer Natureen_US
dc.relation.ispartofNatureen_US
dc.rights© 2021. The Author(s).en_US
dc.subject.meshMotor Cortexen_US
dc.subject.meshEpigenomeen_US
dc.subject.meshTranscriptomeen_US
dc.subject.meshMiceen_US
dc.subject.meshAtlasen_US
dc.titleA transcriptomic and epigenomic cell atlas of the mouse primary motor cortexen_US
dc.typeArticleen_US
dc.identifier.doi10.1038/s41586-021-03500-8
dc.identifier.pmid34616066
dc.source.volume598
dc.source.issue7879
dc.source.beginpage103
dc.source.endpage110
dc.source.countryUnited States
dc.source.countryEngland


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