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211 results on '"Hawrylycz, Michael J."'

1. A high-resolution transcriptomic and spatial atlas of cell types in the whole mouse brain

Author

Yao, Zizhen, van Velthoven, Cindy T. J., Kunst, Michael, Zhang, Meng, McMillen, Delissa, Lee, Changkyu, Jung, Won, Goldy, Jeff, Abdelhak, Aliya, Aitken, Matthew, Baker, Katherine, Baker, Pamela, Barkan, Eliza, Bertagnolli, Darren, Bhandiwad, Ashwin, Bielstein, Cameron, Bishwakarma, Prajal, Campos, Jazmin, Carey, Daniel, Casper, Tamara, Chakka, Anish Bhaswanth, Chakrabarty, Rushil, Chavan, Sakshi, Chen, Min, Clark, Michael, Close, Jennie, Crichton, Kirsten, Daniel, Scott, DiValentin, Peter, Dolbeare, Tim, Ellingwood, Lauren, Fiabane, Elysha, Fliss, Timothy, Gee, James, Gerstenberger, James, Glandon, Alexandra, Gloe, Jessica, Gould, Joshua, Gray, James, Guilford, Nathan, Guzman, Junitta, Hirschstein, Daniel, Ho, Windy, Hooper, Marcus, Huang, Mike, Hupp, Madie, Jin, Kelly, Kroll, Matthew, Lathia, Kanan, Leon, Arielle, Li, Su, Long, Brian, Madigan, Zach, Malloy, Jessica, Malone, Jocelin, Maltzer, Zoe, Martin, Naomi, McCue, Rachel, McGinty, Ryan, Mei, Nicholas, Melchor, Jose, Meyerdierks, Emma, Mollenkopf, Tyler, Moonsman, Skyler, Nguyen, Thuc Nghi, Otto, Sven, Pham, Trangthanh, Rimorin, Christine, Ruiz, Augustin, Sanchez, Raymond, Sawyer, Lane, Shapovalova, Nadiya, Shepard, Noah, Slaughterbeck, Cliff, Sulc, Josef, Tieu, Michael, Torkelson, Amy, Tung, Herman, Valera Cuevas, Nasmil, Vance, Shane, Wadhwani, Katherine, Ward, Katelyn, Levi, Boaz, Farrell, Colin, Young, Rob, Staats, Brian, Wang, Ming-Qiang Michael, Thompson, Carol L., Mufti, Shoaib, Pagan, Chelsea M., Kruse, Lauren, Dee, Nick, Sunkin, Susan M., Esposito, Luke, Hawrylycz, Michael J., Waters, Jack, Ng, Lydia, Smith, Kimberly, Tasic, Bosiljka, Zhuang, Xiaowei, and Zeng, Hongkui

Published
2023
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2. Author Correction: Brain Data Standards - A method for building data-driven cell-type ontologies

Author

Tan, Shawn Zheng Kai, Kir, Huseyin, Aevermann, Brian D, Gillespie, Tom, Harris, Nomi, Hawrylycz, Michael J, Jorstad, Nikolas L, Lein, Ed S, Matentzoglu, Nicolas, Miller, Jeremy A, Mollenkopf, Tyler S, Mungall, Christopher J, Ray, Patrick L, Sanchez, Raymond EA, Staats, Brian, Vermillion, Jim, Yadav, Ambika, Zhang, Yun, Scheuermann, Richard H, and Osumi-Sutherland, David

Abstract

Correction to: Scientific Data, published online 24 January 2023 In this article the funding from ‘NIMH/NIH:1U24MH114827-01 - “A Community Resource for Single Cell Data in the Brain”. ’ was omitted. The original article has been corrected.

Published
2023

3. Brain Data Standards - A method for building data-driven cell-type ontologies

Author

Tan, Shawn Zheng Kai, Kir, Huseyin, Aevermann, Brian D, Gillespie, Tom, Harris, Nomi, Hawrylycz, Michael J, Jorstad, Nikolas L, Lein, Ed S, Matentzoglu, Nicolas, Miller, Jeremy A, Mollenkopf, Tyler S, Mungall, Christopher J, Ray, Patrick L, Sanchez, Raymond EA, Staats, Brian, Vermillion, Jim, Yadav, Ambika, Zhang, Yun, Scheuermann, Richard H, and Osumi-Sutherland, David

Subjects
Networking and Information Technology R&D (NITRD), Neurosciences, Neurological, Animals, Humans, Mice, Biological Ontologies, Brain, Callithrix, Data Collection
Abstract

Large-scale single-cell 'omics profiling is being used to define a complete catalogue of brain cell types, something that traditional methods struggle with due to the diversity and complexity of the brain. But this poses a problem: How do we organise such a catalogue - providing a standard way to refer to the cell types discovered, linking their classification and properties to supporting data? Cell ontologies provide a partial solution to these problems, but no existing ontology schemas support the definition of cell types by direct reference to supporting data, classification of cell types using classifications derived directly from data, or links from cell types to marker sets along with confidence scores. Here we describe a generally applicable schema that solves these problems and its application in a semi-automated pipeline to build a data-linked extension to the Cell Ontology representing cell types in the Primary Motor Cortex of humans, mice and marmosets. The methods and resulting ontology are designed to be scalable and applicable to similar whole-brain atlases currently in preparation.

Published
2023

4. Single cell enhancer activity distinguishes GABAergic and cholinergic lineages in embryonic mouse basal ganglia

Author

Su-Feher, Linda, Rubin, Anna N, Silberberg, Shanni N, Catta-Preta, Rinaldo, Lim, Kenneth J, Ypsilanti, Athena R, Zdilar, Iva, McGinnis, Christopher S, McKinsey, Gabriel L, Rubino, Thomas E, Hawrylycz, Michael J, Thompson, Carol, Gartner, Zev J, Puelles, Luis, Zeng, Hongkui, Rubenstein, John LR, and Nord, Alex S

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Genetics, Human Genome, Mental Health, Neurosciences, Stem Cell Research, 1.1 Normal biological development and functioning, Underpinning research, Neurological, Animals, Basal Ganglia, Cell Lineage, Cholinergic Neurons, Enhancer Elements, Genetic, GABAergic Neurons, Mice, Neurogenesis, RNA-Seq, Single-Cell Analysis, Transcription Factors, genetics, neuroscience, development, enhancer, neurogenesis
Abstract

Enhancers integrate transcription factor signaling pathways that drive cell fate specification in the developing brain. We paired enhancer labeling and single-cell RNA-sequencing (scRNA-seq) to delineate and distinguish specification of neuronal lineages in mouse medial, lateral, and caudal ganglionic eminences (MGE, LGE, and CGE) at embryonic day (E)11.5. We show that scRNA-seq clustering using transcription factors improves resolution of regional and developmental populations, and that enhancer activities identify specific and overlapping GE-derived neuronal populations. First, we mapped the activities of seven evolutionarily conserved brain enhancers at single-cell resolution in vivo, finding that the selected enhancers had diverse activities in specific progenitor and neuronal populations across the GEs. We then applied enhancer-based labeling, scRNA-seq, and analysis of in situ hybridization data to distinguish transcriptionally distinct and spatially defined subtypes of MGE-derived GABAergic and cholinergic projection neurons and interneurons. Our results map developmental origins and specification paths underlying neurogenesis in the embryonic basal ganglia and showcase the power of scRNA-seq combined with enhancer-based labeling to resolve the complex paths of neuronal specification underlying mouse brain development.

Published
2022

5. Is Neuroscience FAIR? A Call for Collaborative Standardisation of Neuroscience Data.

Author

Poline, Jean-Baptiste, Kennedy, David N, Sommer, Friedrich T, Ascoli, Giorgio A, Van Essen, David C, Ferguson, Adam R, Grethe, Jeffrey S, Hawrylycz, Michael J, Thompson, Paul M, Poldrack, Russell A, Ghosh, Satrajit S, Keator, David B, Athey, Thomas L, Vogelstein, Joshua T, Mayberg, Helen S, and Martone, Maryann E

Subjects
Data Collection, Neurosciences, International Neuroinformatics Coordinating Facility, Interoperability, Neuroscience, Standards, Networking and Information Technology R&D (NITRD), Standards, International Neuroinformatics Coordinating Facility, Biochemistry and Cell Biology, Neurology & Neurosurgery
Abstract

In this perspective article, we consider the critical issue of data and other research object standardisation and, specifically, how international collaboration, and organizations such as the International Neuroinformatics Coordinating Facility (INCF) can encourage that emerging neuroscience data be Findable, Accessible, Interoperable, and Reusable (FAIR). As neuroscientists engaged in the sharing and integration of multi-modal and multiscale data, we see the current insufficiency of standards as a major impediment in the Interoperability and Reusability of research results. We call for increased international collaborative standardisation of neuroscience data to foster integration and efficient reuse of research objects.

Published
2022

6. A multimodal cell census and atlas of the mammalian primary motor cortex

Author

Callaway, Edward M, Dong, Hong-Wei, Ecker, Joseph R, Hawrylycz, Michael J, Huang, Z Josh, Lein, Ed S, Ngai, John, Osten, Pavel, Ren, Bing, Tolias, Andreas Savas, White, Owen, Zeng, Hongkui, Zhuang, Xiaowei, Ascoli, Giorgio A, Behrens, M Margarita, Chun, Jerold, Feng, Guoping, Gee, James C, Ghosh, Satrajit S, Halchenko, Yaroslav O, Hertzano, Ronna, Lim, Byung Kook, Martone, Maryann E, Ng, Lydia, Pachter, Lior, Ropelewski, Alexander J, Tickle, Timothy L, Yang, X William, Zhang, Kun, Bakken, Trygve E, Berens, Philipp, Daigle, Tanya L, Harris, Julie A, Jorstad, Nikolas L, Kalmbach, Brian E, Kobak, Dmitry, Li, Yang Eric, Liu, Hanqing, Matho, Katherine S, Mukamel, Eran A, Naeemi, Maitham, Scala, Federico, Tan, Pengcheng, Ting, Jonathan T, Xie, Fangming, Zhang, Meng, Zhang, Zhuzhu, Zhou, Jingtian, Zingg, Brian, Armand, Ethan, Yao, Zizhen, Bertagnolli, Darren, Casper, Tamara, Crichton, Kirsten, Dee, Nick, Diep, Dinh, Ding, Song-Lin, Dong, Weixiu, Dougherty, Elizabeth L, Fong, Olivia, Goldman, Melissa, Goldy, Jeff, Hodge, Rebecca D, Hu, Lijuan, Keene, C Dirk, Krienen, Fenna M, Kroll, Matthew, Lake, Blue B, Lathia, Kanan, Linnarsson, Sten, Liu, Christine S, Macosko, Evan Z, McCarroll, Steven A, McMillen, Delissa, Nadaf, Naeem M, Nguyen, Thuc Nghi, Palmer, Carter R, Pham, Thanh, Plongthongkum, Nongluk, Reed, Nora M, Regev, Aviv, Rimorin, Christine, Romanow, William J, Savoia, Steven, Siletti, Kimberly, Smith, Kimberly, Sulc, Josef, Tasic, Bosiljka, Tieu, Michael, Torkelson, Amy, Tung, Herman, van Velthoven, Cindy TJ, Vanderburg, Charles R, Yanny, Anna Marie, Fang, Rongxin, Hou, Xiaomeng, Lucero, Jacinta D, Osteen, Julia K, Pinto-Duarte, Antonio, and Poirion, Olivier

Subjects
Genetics, Neurosciences, Human Genome, Biotechnology, Underpinning research, 1.1 Normal biological development and functioning, Neurological, Animals, Atlases as Topic, Callithrix, Epigenomics, Female, Gene Expression Profiling, Glutamates, Humans, In Situ Hybridization, Fluorescence, Male, Mice, Motor Cortex, Neurons, Organ Specificity, Phylogeny, Single-Cell Analysis, Species Specificity, Transcriptome, BRAIN Initiative Cell Census Network, General Science & Technology
Abstract

Here we report the generation of a multimodal cell census and atlas of the mammalian primary motor cortex as the initial product of the BRAIN Initiative Cell Census Network (BICCN). This was achieved by coordinated large-scale analyses of single-cell transcriptomes, chromatin accessibility, DNA methylomes, spatially resolved single-cell transcriptomes, morphological and electrophysiological properties and cellular resolution input-output mapping, integrated through cross-modal computational analysis. Our results advance the collective knowledge and understanding of brain cell-type organization1-5. First, our study reveals a unified molecular genetic landscape of cortical cell types that integrates their transcriptome, open chromatin and DNA methylation maps. Second, cross-species analysis achieves a consensus taxonomy of transcriptomic types and their hierarchical organization that is conserved from mouse to marmoset and human. Third, in situ single-cell transcriptomics provides a spatially resolved cell-type atlas of the motor cortex. Fourth, cross-modal analysis provides compelling evidence for the transcriptomic, epigenomic and gene regulatory basis of neuronal phenotypes such as their physiological and anatomical properties, demonstrating the biological validity and genomic underpinning of neuron types. We further present an extensive genetic toolset for targeting glutamatergic neuron types towards linking their molecular and developmental identity to their circuit function. Together, our results establish a unifying and mechanistic framework of neuronal cell-type organization that integrates multi-layered molecular genetic and spatial information with multi-faceted phenotypic properties.

Published
2021

7. Common Cell type Nomenclature for the mammalian brain: A systematic, extensible convention

Author

Miller, Jeremy A., Gouwens, Nathan W., Tasic, Bosiljka, Collman, Forrest, van Velthoven, Cindy T. J., Bakken, Trygve E., Hawrylycz, Michael J., Zeng, Hongkui, Lein, Ed S., and Bernard, Amy

Subjects
Quantitative Biology - Neurons and Cognition
Abstract

The advancement of single cell RNA-sequencing technologies has led to an explosion of cell type definitions across multiple organs and organisms. While standards for data and metadata intake are arising, organization of cell types has largely been left to individual investigators, resulting in widely varying nomenclature and limited alignment between taxonomies. To facilitate cross-dataset comparison, the Allen Institute created the Common Cell type Nomenclature (CCN) for matching and tracking cell types across studies that is qualitatively similar to gene transcript management across different genome builds. The CCN can be readily applied to new or established taxonomies and was applied herein to diverse cell type datasets derived from multiple quantifiable modalities. The CCN facilitates assigning accurate yet flexible cell type names in the mammalian cortex as a step towards community-wide efforts to organize multi-source, data-driven information related to cell type taxonomies from any organism., Comment: 29 pages, 5 figures, 4 tables, 1 supplementary table

Published
2020

8. Integrative functional genomic analysis of human brain development and neuropsychiatric risks

Author

Li, Mingfeng, Santpere, Gabriel, Imamura Kawasawa, Yuka, Evgrafov, Oleg V, Gulden, Forrest O, Pochareddy, Sirisha, Sunkin, Susan M, Li, Zhen, Shin, Yurae, Zhu, Ying, Sousa, André MM, Werling, Donna M, Kitchen, Robert R, Kang, Hyo Jung, Pletikos, Mihovil, Choi, Jinmyung, Muchnik, Sydney, Xu, Xuming, Wang, Daifeng, Lorente-Galdos, Belen, Liu, Shuang, Giusti-Rodríguez, Paola, Won, Hyejung, de Leeuw, Christiaan A, Pardiñas, Antonio F, Hu, Ming, Jin, Fulai, Li, Yun, Owen, Michael J, O’Donovan, Michael C, Walters, James TR, Posthuma, Danielle, Reimers, Mark A, Levitt, Pat, Weinberger, Daniel R, Hyde, Thomas M, Kleinman, Joel E, Geschwind, Daniel H, Hawrylycz, Michael J, State, Matthew W, Sanders, Stephan J, Sullivan, Patrick F, Gerstein, Mark B, Lein, Ed S, Knowles, James A, Sestan, Nenad, Willsey, A Jeremy, Oldre, Aaron, Szafer, Aaron, Camarena, Adrian, Cherskov, Adriana, Charney, Alexander W, Abyzov, Alexej, Kozlenkov, Alexey, Safi, Alexias, Jones, Allan R, Ashley-Koch, Allison E, Ebbert, Amanda, Price, Amanda J, Sekijima, Amanda, Kefi, Amira, Bernard, Amy, Amiri, Anahita, Sboner, Andrea, Clark, Andrew, Jaffe, Andrew E, Tebbenkamp, Andrew TN, Sodt, Andy J, Guillozet-Bongaarts, Angie L, Nairn, Angus C, Carey, Anita, Huttner, Anita, Chervenak, Ann, Szekely, Anna, Shieh, Annie W, Harmanci, Arif, Lipska, Barbara K, Carlyle, Becky C, Gregor, Ben W, Kassim, Bibi S, Sheppard, Brooke, Bichsel, Candace, Hahn, Chang-Gyu, Lee, Chang-Kyu, Chen, Chao, Kuan, Chihchau L, Dang, Chinh, Lau, Chris, Cuhaciyan, Christine, Armoskus, Christoper, Mason, Christopher E, Liu, Chunyu, Slaughterbeck, Cliff R, Bennet, Crissa, Pinto, Dalila, Polioudakis, Damon, Franjic, Daniel, Miller, Daniel J, Bertagnolli, Darren, and Lewis, David A

Subjects
Human Genome, Genetics, Neurosciences, Biotechnology, Pediatric, Mental Health, Brain, Epigenesis, Genetic, Epigenomics, Gene Expression Regulation, Developmental, Gene Regulatory Networks, Humans, Mental Disorders, Nervous System Diseases, Neurogenesis, Single-Cell Analysis, Transcriptome, BrainSpan Consortium, PsychENCODE Consortium, PsychENCODE Developmental Subgroup, General Science & Technology
Abstract

To broaden our understanding of human neurodevelopment, we profiled transcriptomic and epigenomic landscapes across brain regions and/or cell types for the entire span of prenatal and postnatal development. Integrative analysis revealed temporal, regional, sex, and cell type-specific dynamics. We observed a global transcriptomic cup-shaped pattern, characterized by a late fetal transition associated with sharply decreased regional differences and changes in cellular composition and maturation, followed by a reversal in childhood-adolescence, and accompanied by epigenomic reorganizations. Analysis of gene coexpression modules revealed relationships with epigenomic regulation and neurodevelopmental processes. Genes with genetic associations to brain-based traits and neuropsychiatric disorders (including MEF2C, SATB2, SOX5, TCF4, and TSHZ3) converged in a small number of modules and distinct cell types, revealing insights into neurodevelopment and the genomic basis of neuropsychiatric risks.

Published
2018

9. Morphological diversity of single neurons in molecularly defined cell types

Author

Peng, Hanchuan, Xie, Peng, Liu, Lijuan, Kuang, Xiuli, Wang, Yimin, Qu, Lei, Gong, Hui, Jiang, Shengdian, Li, Anan, Ruan, Zongcai, Ding, Liya, Yao, Zizhen, Chen, Chao, Chen, Mengya, Daigle, Tanya L., Dalley, Rachel, Ding, Zhangcan, Duan, Yanjun, Feiner, Aaron, He, Ping, Hill, Chris, Hirokawa, Karla E., Hong, Guodong, Huang, Lei, Kebede, Sara, Kuo, Hsien-Chi, Larsen, Rachael, Lesnar, Phil, Li, Longfei, Li, Qi, Li, Xiangning, Li, Yaoyao, Li, Yuanyuan, Liu, An, Lu, Donghuan, Mok, Stephanie, Ng, Lydia, Nguyen, Thuc Nghi, Ouyang, Qiang, Pan, Jintao, Shen, Elise, Song, Yuanyuan, Sunkin, Susan M., Tasic, Bosiljka, Veldman, Matthew B., Wakeman, Wayne, Wan, Wan, Wang, Peng, Wang, Quanxin, Wang, Tao, Wang, Yaping, Xiong, Feng, Xiong, Wei, Xu, Wenjie, Ye, Min, Yin, Lulu, Yu, Yang, Yuan, Jia, Yuan, Jing, Yun, Zhixi, Zeng, Shaoqun, Zhang, Shichen, Zhao, Sujun, Zhao, Zijun, Zhou, Zhi, Huang, Z. Josh, Esposito, Luke, Hawrylycz, Michael J., Sorensen, Staci A., Yang, X. William, Zheng, Yefeng, Gu, Zhongze, Xie, Wei, Koch, Christof, Luo, Qingming, Harris, Julie A., Wang, Yun, and Zeng, Hongkui

Published
2021
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10. Human neocortical expansion involves glutamatergic neuron diversification

Author

Berg, Jim, Sorensen, Staci A., Ting, Jonathan T., Miller, Jeremy A., Chartrand, Thomas, Buchin, Anatoly, Bakken, Trygve E., Budzillo, Agata, Dee, Nick, Ding, Song-Lin, Gouwens, Nathan W., Hodge, Rebecca D., Kalmbach, Brian, Lee, Changkyu, Lee, Brian R., Alfiler, Lauren, Baker, Katherine, Barkan, Eliza, Beller, Allison, Berry, Kyla, Bertagnolli, Darren, Bickley, Kris, Bomben, Jasmine, Braun, Thomas, Brouner, Krissy, Casper, Tamara, Chong, Peter, Crichton, Kirsten, Dalley, Rachel, de Frates, Rebecca, Desta, Tsega, Lee, Samuel Dingman, D’Orazi, Florence, Dotson, Nadezhda, Egdorf, Tom, Enstrom, Rachel, Farrell, Colin, Feng, David, Fong, Olivia, Furdan, Szabina, Galakhova, Anna A., Gamlin, Clare, Gary, Amanda, Glandon, Alexandra, Goldy, Jeff, Gorham, Melissa, Goriounova, Natalia A., Gratiy, Sergey, Graybuck, Lucas, Gu, Hong, Hadley, Kristen, Hansen, Nathan, Heistek, Tim S., Henry, Alex M., Heyer, Djai B., Hill, DiJon, Hill, Chris, Hupp, Madie, Jarsky, Tim, Kebede, Sara, Keene, Lisa, Kim, Lisa, Kim, Mean-Hwan, Kroll, Matthew, Latimer, Caitlin, Levi, Boaz P., Link, Katherine E., Mallory, Matthew, Mann, Rusty, Marshall, Desiree, Maxwell, Michelle, McGraw, Medea, McMillen, Delissa, Melief, Erica, Mertens, Eline J., Mezei, Leona, Mihut, Norbert, Mok, Stephanie, Molnar, Gabor, Mukora, Alice, Ng, Lindsay, Ngo, Kiet, Nicovich, Philip R., Nyhus, Julie, Olah, Gaspar, Oldre, Aaron, Omstead, Victoria, Ozsvar, Attila, Park, Daniel, Peng, Hanchuan, Pham, Trangthanh, Pom, Christina A., Potekhina, Lydia, Rajanbabu, Ramkumar, Ransford, Shea, Reid, David, Rimorin, Christine, Ruiz, Augustin, Sandman, David, Sulc, Josef, Sunkin, Susan M., Szafer, Aaron, Szemenyei, Viktor, Thomsen, Elliot R., Tieu, Michael, Torkelson, Amy, Trinh, Jessica, Tung, Herman, Wakeman, Wayne, Waleboer, Femke, Ward, Katelyn, Wilbers, René, Williams, Grace, Yao, Zizhen, Yoon, Jae-Geun, Anastassiou, Costas, Arkhipov, Anton, Barzo, Pal, Bernard, Amy, Cobbs, Charles, de Witt Hamer, Philip C., Ellenbogen, Richard G., Esposito, Luke, Ferreira, Manuel, Gwinn, Ryder P., Hawrylycz, Michael J., Hof, Patrick R., Idema, Sander, Jones, Allan R., Keene, C. Dirk, Ko, Andrew L., Murphy, Gabe J., Ng, Lydia, Ojemann, Jeffrey G., Patel, Anoop P., Phillips, John W., Silbergeld, Daniel L., Smith, Kimberly, Tasic, Bosiljka, Yuste, Rafael, Segev, Idan, de Kock, Christiaan P. J., Mansvelder, Huibert D., Tamas, Gabor, Zeng, Hongkui, Koch, Christof, and Lein, Ed S.

Published
2021
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11. A comprehensive transcriptional map of primate brain development.

Author

Bakken, Trygve E, Miller, Jeremy A, Ding, Song-Lin, Sunkin, Susan M, Smith, Kimberly A, Ng, Lydia, Szafer, Aaron, Dalley, Rachel A, Royall, Joshua J, Lemon, Tracy, Shapouri, Sheila, Aiona, Kaylynn, Arnold, James, Bennett, Jeffrey L, Bertagnolli, Darren, Bickley, Kristopher, Boe, Andrew, Brouner, Krissy, Butler, Stephanie, Byrnes, Emi, Caldejon, Shiella, Carey, Anita, Cate, Shelby, Chapin, Mike, Chen, Jefferey, Dee, Nick, Desta, Tsega, Dolbeare, Tim A, Dotson, Nadia, Ebbert, Amanda, Fulfs, Erich, Gee, Garrett, Gilbert, Terri L, Goldy, Jeff, Gourley, Lindsey, Gregor, Ben, Gu, Guangyu, Hall, Jon, Haradon, Zeb, Haynor, David R, Hejazinia, Nika, Hoerder-Suabedissen, Anna, Howard, Robert, Jochim, Jay, Kinnunen, Marty, Kriedberg, Ali, Kuan, Chihchau L, Lau, Christopher, Lee, Chang-Kyu, Lee, Felix, Luong, Lon, Mastan, Naveed, May, Ryan, Melchor, Jose, Mosqueda, Nerick, Mott, Erika, Ngo, Kiet, Nyhus, Julie, Oldre, Aaron, Olson, Eric, Parente, Jody, Parker, Patrick D, Parry, Sheana, Pendergraft, Julie, Potekhina, Lydia, Reding, Melissa, Riley, Zackery L, Roberts, Tyson, Rogers, Brandon, Roll, Kate, Rosen, David, Sandman, David, Sarreal, Melaine, Shapovalova, Nadiya, Shi, Shu, Sjoquist, Nathan, Sodt, Andy J, Townsend, Robbie, Velasquez, Lissette, Wagley, Udi, Wakeman, Wayne B, White, Cassandra, Bennett, Crissa, Wu, Jennifer, Young, Rob, Youngstrom, Brian L, Wohnoutka, Paul, Gibbs, Richard A, Rogers, Jeffrey, Hohmann, John G, Hawrylycz, Michael J, Hevner, Robert F, Molnár, Zoltán, Phillips, John W, Dang, Chinh, Jones, Allan R, Amaral, David G, Bernard, Amy, and Lein, Ed S

Subjects
Brain, Neocortex, Animals, Macaca mulatta, Humans, Microcephaly, Risk Factors, Schizophrenia, Cell Adhesion, Species Specificity, Transcription, Genetic, Conserved Sequence, Aging, Female, Male, Neurogenesis, Intellectual Disability, Transcriptome, Spatio-Temporal Analysis, Autism Spectrum Disorder, Neurodevelopmental Disorders, Transcription, Genetic, General Science & Technology
Abstract

The transcriptional underpinnings of brain development remain poorly understood, particularly in humans and closely related non-human primates. We describe a high-resolution transcriptional atlas of rhesus monkey (Macaca mulatta) brain development that combines dense temporal sampling of prenatal and postnatal periods with fine anatomical division of cortical and subcortical regions associated with human neuropsychiatric disease. Gene expression changes more rapidly before birth, both in progenitor cells and maturing neurons. Cortical layers and areas acquire adult-like molecular profiles surprisingly late in postnatal development. Disparate cell populations exhibit distinct developmental timing of gene expression, but also unexpected synchrony of processes underlying neural circuit construction including cell projection and adhesion. Candidate risk genes for neurodevelopmental disorders including primary microcephaly, autism spectrum disorder, intellectual disability, and schizophrenia show disease-specific spatiotemporal enrichment within developing neocortex. Human developmental expression trajectories are more similar to monkey than rodent, although approximately 9% of genes show human-specific regulation with evidence for prolonged maturation or neoteny compared to monkey.

Published
2016

12. Molecular hallmarks of Alzheimer’s disease with a multimodal single cell atlas of the cortex

Author

Travaglini, Kyle J, primary, Gabitto, Mariano I, additional, Ariza, Jeanelle, additional, Ding, Yi, additional, Mahoney, Joseph T, additional, Casper, Tamara, additional, Chakrabarty, Rushil, additional, Clark, Michael, additional, Crane, Paul K, additional, Dee, Nick, additional, Ferrer, Rebecca, additional, Gatto, Nicole M, additional, Gloe, Jessica, additional, Goldy, Jeff, additional, Grabowski, Thomas J, additional, Guilford, Nathan, additional, Guzman, Junitta, additional, Hawrylycz, Michael J, additional, Hodge, Rebecca D, additional, Jayadev, Suman, additional, Kaplan, Eitan S, additional, Keene, C Dirk, additional, Larson, Eric B, additional, Latimer, Caitlin S, additional, Levi, Boaz P, additional, Melief, Erica J, additional, Meyerdierks, Emma, additional, Mukherjee, Shubhabrata, additional, Pham, Thanh, additional, Rachleff, Victoria M, additional, Smith, Kimberly, additional, Torkelson, Amy, additional, Lein, Ed S, additional, and Miller, Jeremy A, additional

Published
2023
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13. Multimodal and multiregional atlas of Alzheimer’s disease changes

Author

Gabitto, Mariano I, primary, Travaglini, Kyle J, additional, Ariza, Jeanelle, additional, Close, Jennie, additional, Ding, Yi, additional, Long, Brian, additional, Rachleff, Victoria M, additional, Chakrabarty, Rushil, additional, Crane, Paul K, additional, Ferrer, Rebecca, additional, Gatto, Nicole M, additional, Goldy, Jeff, additional, Grabowski, Thomas J, additional, Guilford, Nathan, additional, Guzman, Junitta, additional, Hawrylycz, Michael J, additional, Hodge, Rebecca D, additional, Jayadev, Suman, additional, Kaplan, Eitan S, additional, Keene, C Dirk, additional, Larson, Eric B, additional, Latimer, Caitlin S, additional, Levi, Boaz P, additional, Mahoney, Joseph T, additional, Melief, Erica J, additional, Miller, Jeremy A, additional, Mukherjee, Shubhabrata, additional, Pham, Thanh, additional, Smith, Kimberly, additional, Torkelson, Amy, additional, Chakka, Anish Bhaswanth, additional, and Lein, Ed S, additional

Published
2023
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14. Integrative functional genomic analysis of human brain development and neuropsychiatric risks

Author

BrainSpan Consortium, PsychENCODE Consortium, PsychENCODE Developmental Subgroup, Li, Mingfeng, Santpere, Gabriel, Kawasawa, Yuka Imamura, Evgrafov, Oleg V., Gulden, Forrest O., Pochareddy, Sirisha, Sunkin, Susan M., Li, Zhen, Shin, Yurae, Zhu, Ying, Sousa, André M. M., Werling, Donna M., Kitchen, Robert R., Kang, Hyo Jung, Pletikos, Mihovil, Choi, Jinmyung, Muchnik, Sydney, Xu, Xuming, Wang, Daifeng, Lorente-Galdos, Belen, Liu, Shuang, Giusti-Rodríguez, Paola, Won, Hyejung, de Leeuw, Christiaan A., Pardiñas, Antonio F., Hu, Ming, Jin, Fulai, Li, Yun, Owen, Michael J., O’Donovan, Michael C., Walters, James T. R., Posthuma, Danielle, Levitt, Pat, Weinberger, Daniel R., Hyde, Thomas M., Kleinman, Joel E., Geschwind, Daniel H., Hawrylycz, Michael J., State, Matthew W., Sanders, Stephan J., Sullivan, Patrick F., Gerstein, Mark B., Lein, Ed S., Knowles, James A., and Sestan, Nenad

Published
2018

15. A High-Resolution Spatiotemporal Atlas of Gene Expression of the Developing Mouse Brain

Author

Thompson, Carol L, Ng, Lydia, Menon, Vilas, Martinez, Salvador, Lee, Chang-Kyu, Glattfelder, Katie, Sunkin, Susan M, Henry, Alex, Lau, Christopher, Dang, Chinh, Garcia-Lopez, Raquel, Martinez-Ferre, Almudena, Pombero, Ana, Rubenstein, John LR, Wakeman, Wayne B, Hohmann, John, Dee, Nick, Sodt, Andrew J, Young, Rob, Smith, Kimberly, Nguyen, Thuc-Nghi, Kidney, Jolene, Kuan, Leonard, Jeromin, Andreas, Kaykas, Ajamete, Miller, Jeremy, Page, Damon, Orta, Geri, Bernard, Amy, Riley, Zackery, Smith, Simon, Wohnoutka, Paul, Hawrylycz, Michael J, Puelles, Luis, and Jones, Allan R

Subjects
Neurosciences, Biotechnology, Genetics, Pediatric, 1.1 Normal biological development and functioning, Underpinning research, Neurological, Animals, Brain, Brain Mapping, Gene Expression, Gene Expression Profiling, Gene Expression Regulation, Developmental, Mice, Psychology, Cognitive Sciences, Neurology & Neurosurgery
Abstract

To provide a temporal framework for the genoarchitecture of brain development, we generated in situ hybridization data for embryonic and postnatal mouse brain at seven developmental stages for ∼2,100 genes, which were processed with an automated informatics pipeline and manually annotated. This resource comprises 434,946 images, seven reference atlases, an ontogenetic ontology, and tools to explore coexpression of genes across neurodevelopment. Gene sets coinciding with developmental phenomena were identified. A temporal shift in the principles governing the molecular organization of the brain was detected, with transient neuromeric, plate-based organization of the brain present at E11.5 and E13.5. Finally, these data provided a transcription factor code that discriminates brain structures and identifies the developmental age of a tissue, providing a foundation for eventual genetic manipulation or tracking of specific brain structures over development. The resource is available as the Allen Developing Mouse Brain Atlas (http://developingmouse.brain-map.org).

Published
2014

16. Transcriptional landscape of the prenatal human brain.

Author

Miller, Jeremy A, Ding, Song-Lin, Sunkin, Susan M, Smith, Kimberly A, Ng, Lydia, Szafer, Aaron, Ebbert, Amanda, Riley, Zackery L, Royall, Joshua J, Aiona, Kaylynn, Arnold, James M, Bennet, Crissa, Bertagnolli, Darren, Brouner, Krissy, Butler, Stephanie, Caldejon, Shiella, Carey, Anita, Cuhaciyan, Christine, Dalley, Rachel A, Dee, Nick, Dolbeare, Tim A, Facer, Benjamin AC, Feng, David, Fliss, Tim P, Gee, Garrett, Goldy, Jeff, Gourley, Lindsey, Gregor, Benjamin W, Gu, Guangyu, Howard, Robert E, Jochim, Jayson M, Kuan, Chihchau L, Lau, Christopher, Lee, Chang-Kyu, Lee, Felix, Lemon, Tracy A, Lesnar, Phil, McMurray, Bergen, Mastan, Naveed, Mosqueda, Nerick, Naluai-Cecchini, Theresa, Ngo, Nhan-Kiet, Nyhus, Julie, Oldre, Aaron, Olson, Eric, Parente, Jody, Parker, Patrick D, Parry, Sheana E, Stevens, Allison, Pletikos, Mihovil, Reding, Melissa, Roll, Kate, Sandman, David, Sarreal, Melaine, Shapouri, Sheila, Shapovalova, Nadiya V, Shen, Elaine H, Sjoquist, Nathan, Slaughterbeck, Clifford R, Smith, Michael, Sodt, Andy J, Williams, Derric, Zöllei, Lilla, Fischl, Bruce, Gerstein, Mark B, Geschwind, Daniel H, Glass, Ian A, Hawrylycz, Michael J, Hevner, Robert F, Huang, Hao, Jones, Allan R, Knowles, James A, Levitt, Pat, Phillips, John W, Sestan, Nenad, Wohnoutka, Paul, Dang, Chinh, Bernard, Amy, Hohmann, John G, and Lein, Ed S

Subjects
Brain, Neocortex, Fetus, Animals, Humans, Mice, Anatomy, Artistic, Species Specificity, Gene Expression Regulation, Developmental, Conserved Sequence, Gene Regulatory Networks, Atlases as Topic, Transcriptome, Anatomy, Artistic, Gene Expression Regulation, Developmental, General Science & Technology
Abstract

The anatomical and functional architecture of the human brain is mainly determined by prenatal transcriptional processes. We describe an anatomically comprehensive atlas of the mid-gestational human brain, including de novo reference atlases, in situ hybridization, ultra-high-resolution magnetic resonance imaging (MRI) and microarray analysis on highly discrete laser-microdissected brain regions. In developing cerebral cortex, transcriptional differences are found between different proliferative and post-mitotic layers, wherein laminar signatures reflect cellular composition and developmental processes. Cytoarchitectural differences between human and mouse have molecular correlates, including species differences in gene expression in subplate, although surprisingly we find minimal differences between the inner and outer subventricular zones even though the outer zone is expanded in humans. Both germinal and post-mitotic cortical layers exhibit fronto-temporal gradients, with particular enrichment in the frontal lobe. Finally, many neurodevelopmental disorder and human-evolution-related genes show patterned expression, potentially underlying unique features of human cortical formation. These data provide a rich, freely-accessible resource for understanding human brain development.

Published
2014

17. An anatomic transcriptional atlas of human glioblastoma

Author

Puchalski, Ralph B., Shah, Nameeta, Miller, Jeremy, Dalley, Rachel, Nomura, Steve R., Yoon, Jae-Guen, Smith, Kimberly A., Lankerovich, Michael, Bertagnolli, Darren, Bickley, Kris, Boe, Andrew F., Brouner, Krissy, Butler, Stephanie, Caldejon, Shiella, Chapin, Mike, Datta, Suvro, Dee, Nick, Desta, Tsega, Dolbeare, Tim, Dotson, Nadezhda, Ebbert, Amanda, Feng, David, Feng, Xu, Fisher, Michael, Gee, Garrett, Goldy, Jeff, Gourley, Lindsey, Gregor, Benjamin W., Gu, Guangyu, Hejazinia, Nika, Hohmann, John, Hothi, Parvinder, Howard, Robert, Joines, Kevin, Kriedberg, Ali, Kuan, Leonard, Lau, Chris, Lee, Felix, Lee, Hwahyung, Lemon, Tracy, Long, Fuhui, Mastan, Naveed, Mott, Erika, Murthy, Chantal, Ngo, Kiet, Olson, Eric, Reding, Melissa, Riley, Zack, Rosen, David, Sandman, David, Shapovalova, Nadiya, Slaughterbeck, Clifford R., Sodt, Andrew, Stockdale, Graham, Szafer, Aaron, Wakeman, Wayne, Wohnoutka, Paul E., White, Steven J., Marsh, Don, Rostomily, Robert C., Ng, Lydia, Dang, Chinh, Jones, Allan, Keogh, Bart, Gittleman, Haley R., Barnholtz-Sloan, Jill S., Cimino, Patrick J., Uppin, Megha S., Keene, C. Dirk, Farrokhi, Farrokh R., Lathia, Justin D., Berens, Michael E., Iavarone, Antonio, Bernard, Amy, Lein, Ed, Phillips, John W., Rostad, Steven W., Cobbs, Charles, Hawrylycz, Michael J., and Foltz, Greg D.

Published
2018

18. Classification of electrophysiological and morphological neuron types in the mouse visual cortex

Author

Gouwens, Nathan W., Sorensen, Staci A., Berg, Jim, Lee, Changkyu, Jarsky, Tim, Ting, Jonathan, Sunkin, Susan M., Feng, David, Anastassiou, Costas A., Barkan, Eliza, Bickley, Kris, Blesie, Nicole, Braun, Thomas, Brouner, Krissy, Budzillo, Agata, Caldejon, Shiella, Casper, Tamara, Castelli, Dan, Chong, Peter, Crichton, Kirsten, Cuhaciyan, Christine, Daigle, Tanya L., Dalley, Rachel, Dee, Nick, Desta, Tsega, Ding, Song-Lin, Dingman, Samuel, Doperalski, Alyse, Dotson, Nadezhda, Egdorf, Tom, Fisher, Michael, de Frates, Rebecca A., Garren, Emma, Garwood, Marissa, Gary, Amanda, Gaudreault, Nathalie, Godfrey, Keith, Gorham, Melissa, Gu, Hong, Habel, Caroline, Hadley, Kristen, Harrington, James, Harris, Julie A., Henry, Alex, Hill, DiJon, Josephsen, Sam, Kebede, Sara, Kim, Lisa, Kroll, Matthew, Lee, Brian, Lemon, Tracy, Link, Katherine E., Liu, Xiaoxiao, Long, Brian, Mann, Rusty, McGraw, Medea, Mihalas, Stefan, Mukora, Alice, Murphy, Gabe J., Ng, Lindsay, Ngo, Kiet, Nguyen, Thuc Nghi, Nicovich, Philip R., Oldre, Aaron, Park, Daniel, Parry, Sheana, Perkins, Jed, Potekhina, Lydia, Reid, David, Robertson, Miranda, Sandman, David, Schroedter, Martin, Slaughterbeck, Cliff, Soler-Llavina, Gilberto, Sulc, Josef, Szafer, Aaron, Tasic, Bosiljka, Taskin, Naz, Teeter, Corinne, Thatra, Nivretta, Tung, Herman, Wakeman, Wayne, Williams, Grace, Young, Rob, Zhou, Zhi, Farrell, Colin, Peng, Hanchuan, Hawrylycz, Michael J., Lein, Ed, Ng, Lydia, Arkhipov, Anton, Bernard, Amy, Phillips, John W., Zeng, Hongkui, and Koch, Christof

Published
2019
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19. Author Correction: Human neocortical expansion involves glutamatergic neuron diversification

Author

Berg, Jim, Sorensen, Staci A., Ting, Jonathan T., Miller, Jeremy A., Chartrand, Thomas, Buchin, Anatoly, Bakken, Trygve E., Budzillo, Agata, Dee, Nick, Ding, Song-Lin, Gouwens, Nathan W., Hodge, Rebecca D., Kalmbach, Brian, Lee, Changkyu, Lee, Brian R., Alfiler, Lauren, Baker, Katherine, Barkan, Eliza, Beller, Allison, Berry, Kyla, Bertagnolli, Darren, Bickley, Kris, Bomben, Jasmine, Braun, Thomas, Brouner, Krissy, Casper, Tamara, Chong, Peter, Crichton, Kirsten, Dalley, Rachel, de Frates, Rebecca, Desta, Tsega, Lee, Samuel Dingman, D’Orazi, Florence, Dotson, Nadezhda, Egdorf, Tom, Enstrom, Rachel, Farrell, Colin, Feng, David, Fong, Olivia, Furdan, Szabina, Galakhova, Anna A., Gamlin, Clare, Gary, Amanda, Glandon, Alexandra, Goldy, Jeff, Gorham, Melissa, Goriounova, Natalia A., Gratiy, Sergey, Graybuck, Lucas, Gu, Hong, Hadley, Kristen, Hansen, Nathan, Heistek, Tim S., Henry, Alex M., Heyer, Djai B., Hill, DiJon, Hill, Chris, Hupp, Madie, Jarsky, Tim, Kebede, Sara, Keene, Lisa, Kim, Lisa, Kim, Mean-Hwan, Kroll, Matthew, Latimer, Caitlin, Levi, Boaz P., Link, Katherine E., Mallory, Matthew, Mann, Rusty, Marshall, Desiree, Maxwell, Michelle, McGraw, Medea, McMillen, Delissa, Melief, Erica, Mertens, Eline J., Mezei, Leona, Mihut, Norbert, Mok, Stephanie, Molnar, Gabor, Mukora, Alice, Ng, Lindsay, Ngo, Kiet, Nicovich, Philip R., Nyhus, Julie, Olah, Gaspar, Oldre, Aaron, Omstead, Victoria, Ozsvar, Attila, Park, Daniel, Peng, Hanchuan, Pham, Trangthanh, Pom, Christina A., Potekhina, Lydia, Rajanbabu, Ramkumar, Ransford, Shea, Reid, David, Rimorin, Christine, Ruiz, Augustin, Sandman, David, Sulc, Josef, Sunkin, Susan M., Szafer, Aaron, Szemenyei, Viktor, Thomsen, Elliot R., Tieu, Michael, Torkelson, Amy, Trinh, Jessica, Tung, Herman, Wakeman, Wayne, Waleboer, Femke, Ward, Katelyn, Wilbers, René, Williams, Grace, Yao, Zizhen, Yoon, Jae-Geun, Anastassiou, Costas, Arkhipov, Anton, Barzo, Pal, Bernard, Amy, Cobbs, Charles, de Witt Hamer, Philip C., Ellenbogen, Richard G., Esposito, Luke, Ferreira, Manuel, Gwinn, Ryder P., Hawrylycz, Michael J., Hof, Patrick R., Idema, Sander, Jones, Allan R., Keene, C. Dirk, Ko, Andrew L., Murphy, Gabe J., Ng, Lydia, Ojemann, Jeffrey G., Patel, Anoop P., Phillips, John W., Silbergeld, Daniel L., Smith, Kimberly, Tasic, Bosiljka, Yuste, Rafael, Segev, Idan, de Kock, Christiaan P. J., Mansvelder, Huibert D., Tamas, Gabor, Zeng, Hongkui, Koch, Christof, and Lein, Ed S.

Published
2022
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21. A high-resolution transcriptomic and spatial atlas of cell types in the whole mouse brain

Author

Yao, Zizhen, primary, van Velthoven, Cindy T. J., additional, Kunst, Michael, additional, Zhang, Meng, additional, McMillen, Delissa, additional, Lee, Changkyu, additional, Jung, Won, additional, Goldy, Jeff, additional, Abdelhak, Aliya, additional, Baker, Pamela, additional, Barkan, Eliza, additional, Bertagnolli, Darren, additional, Campos, Jazmin, additional, Carey, Daniel, additional, Casper, Tamara, additional, Chakka, Anish Bhaswanth, additional, Chakrabarty, Rushil, additional, Chavan, Sakshi, additional, Chen, Min, additional, Clark, Michael, additional, Close, Jennie, additional, Crichton, Kirsten, additional, Daniel, Scott, additional, Dolbeare, Tim, additional, Ellingwood, Lauren, additional, Gee, James, additional, Glandon, Alexandra, additional, Gloe, Jessica, additional, Gould, Joshua, additional, Gray, James, additional, Guilford, Nathan, additional, Guzman, Junitta, additional, Hirschstein, Daniel, additional, Ho, Windy, additional, Jin, Kelly, additional, Kroll, Matthew, additional, Lathia, Kanan, additional, Leon, Arielle, additional, Long, Brian, additional, Maltzer, Zoe, additional, Martin, Naomi, additional, McCue, Rachel, additional, Meyerdierks, Emma, additional, Nguyen, Thuc Nghi, additional, Pham, Trangthanh, additional, Rimorin, Christine, additional, Ruiz, Augustin, additional, Shapovalova, Nadiya, additional, Slaughterbeck, Cliff, additional, Sulc, Josef, additional, Tieu, Michael, additional, Torkelson, Amy, additional, Tung, Herman, additional, Cuevas, Nasmil Valera, additional, Wadhwani, Katherine, additional, Ward, Katelyn, additional, Levi, Boaz, additional, Farrell, Colin, additional, Thompson, Carol L., additional, Mufti, Shoaib, additional, Pagan, Chelsea M., additional, Kruse, Lauren, additional, Dee, Nick, additional, Sunkin, Susan M., additional, Esposito, Luke, additional, Hawrylycz, Michael J., additional, Waters, Jack, additional, Ng, Lydia, additional, Smith, Kimberly A., additional, Tasic, Bosiljka, additional, Zhuang, Xiaowei, additional, and Zeng, Hongkui, additional

Published
2023
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22. A multimodal atlas of the molecular and cellular changes to cortex driven by Alzheimer’s disease

Author

Travaglini, Kyle J, primary, Gabitto, Mariano, additional, Ding, Yi, additional, Ariza, Jeanelle, additional, Chakrabarty, Rushil, additional, Crane, Paul K., additional, Ferrer, Rebecca, additional, Goldy, Jeff, additional, Grabowski, Thomas J, additional, Guilford, Nathan, additional, Guzman, Junitta, additional, Hawrylycz, Michael J, additional, Hodge, Rebecca D, additional, Jayadev, Suman, additional, Kaplan, Eitan S, additional, Keene, C Dirk, additional, Larson, Eric B, additional, Latimer, Caitlin S, additional, Levi, Boaz, additional, Mahoney, Joseph, additional, Melief, Erica J, additional, Mukherjee, Shubhabrata, additional, Pham, Thanh, additional, Rachleff, Victoria M, additional, Smith, Kimberly A, additional, Torkelson, Amy, additional, Lein, Ed S, additional, and Miller, Jeremy A, additional

Published
2022
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23. Large‐scale quantitative neuropathological analysis across the spectrum of Alzheimer's disease neuropathologic change.

Author

Rachleff, Victoria M, Ariza, Jeanelle, Bilgic, Kyra, Bogdani, Marika, Campos, John S, Close, Jennie, Crane, Paul K, Ding, Yi, Gabitto, Mariano I, Grabowski, Thomas J, Jayadev, Suman, Keen, Amanda, Keene, Lisa, Khawand, Sarah, Larson, Eric B, Latimer, Caitlin S, Donald, Christine Mac, Hawrylycz, Michael J, Kaplan, Eitan S, and Long, Brian

Abstract

Background: While traditional histologic neuropathological assessment of neurodegenerative disease has tremendous diagnostic value, insights into neurodegeneration's pathophysiological underpinnings can be significantly enhanced with large‐scale quantitative analyses. As part of the Seattle Alzheimer's Disease Brain Cell Atlas (SEA‐AD), we present a neuropathology dataset across 84 brains spanning the spectrum of AD neuropathologic change donated by UW Alzheimer's Disease Research Center and Adult Changes in Thought study participants. Method: Human brain tissue was collected at rapid autopsy (postmortem interval <12 hours). One hemisphere (randomly selected) was embedded in alginate for uniform coronal slicing (4mm), with alternating slabs fixed in 10% neutral buffered formalin or frozen in a dry ice isopentane slurry. Superior and Middle Temporal Gyrus (MTG) was sampled from fixed slabs and subjected to standard processing, embedding, sectioning (5µm), histochemical (H&E/Luxol fast blue), and immunohistochemical (duplex pTau and pTDP‐43, Aβ and Iba1, and monoplex GFAP, a‐synuclein, and NeuN) labeling. HALO image analysis software (Indica Labs, Albuquerque NM) was used to define and quantify relevant cellular and pathological features within each cortical layer (Figures 1‐3). Result: 84 individuals were included in these analyses (Table 1). While quantitative metrics of pTau and Aβ aligned with traditional neuropathological measures, they showed substantial variability within discrete diagnostic stages (Figure 4). These findings were robust to quantification (discrete count vs. total area stained) and normalization (total nuclei vs. total area analyzed) methods, and highlight the importance of deploying highly quantitative, continuous measures of pathology in the study of neurodegeneration. This unique resource provides spatially preserved measures of pathologic burden across the spectrum of AD with potential for correlative analysis across pathologies, clinical and biomarker parameters, and omics applications to better support the identification of vulnerable cell types in early stages of AD progression, the principal goal of SEA‐AD. Conclusion: Here we present a large‐scale quantitative neuropathology dataset, which enables analysis of pathological proteins and cell types at unprecedented scale and accuracy. Little is known about the interactions of AD‐relevant cell types with pathologic peptides across disease progression. The presented analyses exemplify the potential of this unique publicly‐accessible resource to identify and quantify novel disease‐relevant relationships. [ABSTRACT FROM AUTHOR]

Published
2023
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24. Is Neuroscience FAIR? A Call for Collaborative Standardisation of Neuroscience Data

Author

McGovern Institute for Brain Research at MIT, Poline, Jean-Baptiste, Kennedy, David N., Sommer, Friedrich T., Ascoli, Giorgio A., Van Essen, David C., Ferguson, Adam R., Grethe, Jeffrey S., Hawrylycz, Michael J., Thompson, Paul M., Poldrack, Russell A., Ghosh, Satrajit S., Keator, David B., Athey, Thomas L., Vogelstein, Joshua T., Mayberg, Helen S., Martone, Maryann E., McGovern Institute for Brain Research at MIT, Poline, Jean-Baptiste, Kennedy, David N., Sommer, Friedrich T., Ascoli, Giorgio A., Van Essen, David C., Ferguson, Adam R., Grethe, Jeffrey S., Hawrylycz, Michael J., Thompson, Paul M., Poldrack, Russell A., Ghosh, Satrajit S., Keator, David B., Athey, Thomas L., Vogelstein, Joshua T., Mayberg, Helen S., and Martone, Maryann E.

Abstract

In this perspective article, we consider the critical issue of data and other research object standardisation and, specifically, how international collaboration, and organizations such as the International Neuroinformatics Coordinating Facility (INCF) can encourage that emerging neuroscience data be Findable, Accessible, Interoperable, and Reusable (FAIR). As neuroscientists engaged in the sharing and integration of multi-modal and multiscale data, we see the current insufficiency of standards as a major impediment in the Interoperability and Reusability of research results. We call for increased international collaborative standardisation of neuroscience data to foster integration and efficient reuse of research objects.

Published
2022

25. Comprehensive cellular‐resolution atlas of the adult human brain

Author

Ding, Song‐Lin, Royall, Joshua J., Sunkin, Susan M., Ng, Lydia, Facer, Benjamin A.C., Lesnar, Phil, Guillozet‐Bongaarts, Angie, McMurray, Bergen, Szafer, Aaron, Dolbeare, Tim A., Stevens, Allison, Tirrell, Lee, Benner, Thomas, Caldejon, Shiella, Dalley, Rachel A., Dee, Nick, Lau, Christopher, Nyhus, Julie, Reding, Melissa, Riley, Zackery L., Sandman, David, Shen, Elaine, van der Kouwe, Andre, Varjabedian, Ani, Write, Michelle, Zollei, Lilla, Dang, Chinh, Knowles, James A., Koch, Christof, Phillips, John W., Sestan, Nenad, Wohnoutka, Paul, Zielke, H. Ronald, Hohmann, John G., Jones, Allan R., Bernard, Amy, Hawrylycz, Michael J., Hof, Patrick R., Fischl, Bruce, and LeinReference, Ed S.

Published
2017
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26. Author Correction:Human neocortical expansion involves glutamatergic neuron diversification (Nature, (2021), 598, 7879, (151-158), 10.1038/s41586-021-03813-8)

Author

Berg, Jim, Sorensen, Staci A., Ting, Jonathan T., Miller, Jeremy A., Chartrand, Thomas, Buchin, Anatoly, Bakken, Trygve E., Budzillo, Agata, Dee, Nick, Ding, Song-Lin, Gouwens, Nathan W., Hodge, Rebecca D., Kalmbach, Brian, Lee, Changkyu, Lee, Brian R., Alfiler, Lauren, Baker, Katherine, Barkan, Eliza, Beller, Allison, Berry, Kyla, Bertagnolli, Darren, Bickley, Kris, Bomben, Jasmine, Braun, Thomas, Brouner, Krissy, Casper, Tamara, Chong, Peter, Crichton, Kirsten, Dalley, Rachel, de Frates, Rebecca, Desta, Tsega, Lee, Samuel Dingman, D’Orazi, Florence, Dotson, Nadezhda, Egdorf, Tom, Enstrom, Rachel, Farrell, Colin, Feng, David, Fong, Olivia, Furdan, Szabina, Galakhova, Anna A., Gamlin, Clare, Gary, Amanda, Glandon, Alexandra, Goldy, Jeff, Gorham, Melissa, Goriounova, Natalia A., Gratiy, Sergey, Graybuck, Lucas, Gu, Hong, Hadley, Kristen, Hansen, Nathan, Heistek, Tim S., Henry, Alex M., Heyer, Djai B., Hill, DiJon, Hill, Chris, Hupp, Madie, Jarsky, Tim, Kebede, Sara, Keene, Lisa, Kim, Lisa, Kim, Mean-Hwan, Kroll, Matthew, Latimer, Caitlin, Levi, Boaz P., Link, Katherine E., Mallory, Matthew, Mann, Rusty, Marshall, Desiree, Maxwell, Michelle, McGraw, Medea, McMillen, Delissa, Melief, Erica, Mertens, Eline J., Mezei, Leona, Mihut, Norbert, Mok, Stephanie, Molnar, Gabor, Mukora, Alice, Ng, Lindsay, Ngo, Kiet, Nicovich, Philip R., Nyhus, Julie, Olah, Gaspar, Oldre, Aaron, Omstead, Victoria, Ozsvar, Attila, Park, Daniel, Peng, Hanchuan, Pham, Trangthanh, Pom, Christina A., Potekhina, Lydia, Rajanbabu, Ramkumar, Ransford, Shea, Reid, David, Rimorin, Christine, Ruiz, Augustin, Sandman, David, Sulc, Josef, Sunkin, Susan M., Szafer, Aaron, Szemenyei, Viktor, Thomsen, Elliot R., Tieu, Michael, Torkelson, Amy, Trinh, Jessica, Tung, Herman, Wakeman, Wayne, Waleboer, Femke, Ward, Katelyn, Wilbers, René, Williams, Grace, Yao, Zizhen, Yoon, Jae-Geun, Anastassiou, Costas, Arkhipov, Anton, Barzo, Pal, Bernard, Amy, Cobbs, Charles, de Witt Hamer, Philip C., Ellenbogen, Richard G., Esposito, Luke, Ferreira, Manuel, Gwinn, Ryder P., Hawrylycz, Michael J., Hof, Patrick R., Idema, Sander, Jones, Allan R., Keene, C. Dirk, Ko, Andrew L., Murphy, Gabe J., Ng, Lydia, Ojemann, Jeffrey G., Patel, Anoop P., Phillips, John W., Silbergeld, Daniel L., Smith, Kimberly, Tasic, Bosiljka, Yuste, Rafael, Segev, Idan, de Kock, Christiaan P. J., Mansvelder, Huibert D., Tamas, Gabor, Zeng, Hongkui, Koch, Christof, and Lein, Ed S.

Abstract

In the version of this Article initially published, the Acknowledgements statement contained an error. Originally appearing with thanks for support given in part as follows, “R01EY023173 from The National Eye Institute, U01MH105982 from the National Institute of Mental Health and Eunice Kennedy Shriver National Institute of Child Health and Human Development, and R011EY023173 from The National Institute of Allergy and Infectious Disease,” the last number (R011EY023173) was mistakenly added and is not in fact a grant or one provided by the NIAID. The mention has been removed. The changes have been made to the online version of the Article.

Published
2022

27. Divergent and nonuniform gene expression patterns in mouse brain

Author

Morris, John A., Royall, Joshua J., Bertagnolli, Darren, Boe, Andrew F., Burnell, Josh J., Byrnes, Emi J., Copeland, Cathy, Desta, Tsega, Fischer, Shanna R., Goldy, Jeff, Glattfelder, Katie J., Kidney, Jolene M., Lemon, Tracy, Orta, Geralyn J., Parry, Sheana E., Pathak, Sayan D., Pearson, Owen C., Reding, Melissa, Shapouri, Sheila, Smith, Kimberly A., Soden, Chad, Solan, Beth M., Weller, John, Takahashi, Joseph S., Overly, Caroline C., Lein, Ed S., Hawrylycz, Michael J., Hohmann, John G., Jones, Allan R., and Jones, Edward G.

Published
2010

28. Cover Image, Volume 530, Issue 1

Author

Ding, Song‐Lin, primary, Royall, Joshua J., additional, Lesnar, Phil, additional, Facer, Benjamin A.C., additional, Smith, Kimberly A., additional, Wei, Yina, additional, Brouner, Kristina, additional, Dalley, Rachel A., additional, Dee, Nick, additional, Dolbeare, Tim A., additional, Ebbert, Amanda, additional, Glass, Ian A., additional, Keller, Nika H., additional, Lee, Felix, additional, Lemon, Tracy A., additional, Nyhus, Julie, additional, Pendergraft, Julie, additional, Reid, Robert, additional, Sarreal, Melaine, additional, Shapovalova, Nadiya V., additional, Szafer, Aaron, additional, Phillips, John W., additional, Sunkin, Susan M., additional, Hohmann, John G., additional, Jones, Allan R., additional, Hawrylycz, Michael J., additional, Hof, Patrick R., additional, Ng, Lydia, additional, Bernard, Amy, additional, and Lein, Ed S., additional

Published
2021
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29. Cellular resolution anatomical and molecular atlases for prenatal human brains

Author

Ding, Song‐Lin, primary, Royall, Joshua J., additional, Lesnar, Phil, additional, Facer, Benjamin A.C., additional, Smith, Kimberly A., additional, Wei, Yina, additional, Brouner, Kristina, additional, Dalley, Rachel A., additional, Dee, Nick, additional, Dolbeare, Tim A., additional, Ebbert, Amanda, additional, Glass, Ian A., additional, Keller, Nika H., additional, Lee, Felix, additional, Lemon, Tracy A., additional, Nyhus, Julie, additional, Pendergraft, Julie, additional, Reid, Robert, additional, Sarreal, Melaine, additional, Shapovalova, Nadiya V., additional, Szafer, Aaron, additional, Phillips, John W., additional, Sunkin, Susan M., additional, Hohmann, John G., additional, Jones, Allan R., additional, Hawrylycz, Michael J., additional, Hof, Patrick R., additional, Ng, Lydia, additional, Bernard, Amy, additional, and Lein, Ed S., additional

Published
2021
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30. A multimodal cell census and atlas of the mammalian primary motor cortex

Author

Callaway, Edward M., Dong, Hong-Wei, Ecker, Joseph R., Hawrylycz, Michael J., Huang, Z. Josh, Lein, Ed S., Ngai, John, Osten, Pavel, Ren, Bing, Tolias, Andreas Savas, White, Owen, Zeng, Hongkui, Zhuang, Xiaowei, Ascoli, Giorgio A., Behrens, M. Margarita, Chun, Jerold, Feng, Guoping, Gee, James C., Ghosh, Satrajit S., Halchenko, Yaroslav O., Hertzano, Ronna, Lim, Byung Kook, Martone, Maryann E., Ng, Lydia, Pachter, Lior, Ropelewski, Alexander J., Tickle, Timothy L., Yang, X. William, Zhang, Kun, Bakken, Trygve E., Berens, Philipp, Daigle, Tanya L., Harris, Julie A., Jorstad, Nikolas L., Kalmbach, Brian E., Kobak, Dmitry, Li, Yang Eric, Liu, Hanqing, Matho, Katherine S., Mukamel, Eran A., Naeemi, Maitham, Scala, Federico, Tan, Pengcheng, Ting, Jonathan T., Xie, Fangming, Zhang, Meng, Zhang, Zhuzhu, Zhou, Jingtian, Zingg, Brian, Armand, Ethan, Yao, Zizhen, Bertagnolli, Darren, Casper, Tamara, Crichton, Kirsten, Dee, Nick, Diep, Dinh, Ding, Song-Lin, Dong, Weixiu, Dougherty, Elizabeth L., Fong, Olivia, Goldman, Melissa, Goldy, Jeff, Hodge, Rebecca D., Hu, Lijuan, Keene, C. Dirk, Krienen, Fenna M., Kroll, Matthew, Lake, Blue B., Lathia, Kanan, Linnarsson, Sten, Liu, Christine S., Macosko, Evan Z., McCarroll, Steven A., McMillen, Delissa, Nadaf, Naeem M., Nguyen, Thuc Nghi, Palmer, Carter R., Pham, Thanh, Plongthongkum, Nongluk, Reed, Nora M., Regev, Aviv, Rimorin, Christine, Romanow, William J., Savoia, Steven, Siletti, Kimberly, Smith, Kimberly, Sulc, Josef, Tasic, Bosiljka, Tieu, Michael, Torkelson, Amy, Tung, Herman, van Velthoven, Cindy T. J., Vanderburg, Charles R., Yanny, Anna Marie, Fang, Rongxin, Hou, Xiaomeng, Lucero, Jacinta D., Osteen, Julia K., Pinto-Duarte, Antonio, Poirion, Olivier, Preissl, Sebastian, Wang, Xinxin, Aldridge, Andrew I., Bartlett, Anna, Boggeman, Lara, O’Connor, Carolyn, Castanon, Rosa G., Chen, Huaming, Fitzpatrick, Conor, Luo, Chongyuan, Nery, Joseph R., Nunn, Michael, Rivkin, Angeline C., Tian, Wei, Dominguez, Bertha, Ito-Cole, Tony, Jacobs, Matthew, Jin, Xin, Lee, Cheng-Ta, Lee, Kuo-Fen, Miyazaki, Paula Assakura, Pang, Yan, Rashid, Mohammad, Smith, Jared B., Vu, Minh, Williams, Elora, Biancalani, Tommaso, Booeshaghi, A. Sina, Crow, Megan, Dudoit, Sandrine, Fischer, Stephan, Gillis, Jesse, Hu, Qiwen, Kharchenko, Peter V., Niu, Sheng-Yong, Ntranos, Vasilis, Purdom, Elizabeth, Risso, Davide, de Bézieux, Hector Roux, Somasundaram, Saroja, Street, Kelly, Svensson, Valentine, Vaishnav, Eeshit Dhaval, Van den Berge, Koen, Welch, Joshua D., An, Xu, Bateup, Helen S., Bowman, Ian, Chance, Rebecca K., Foster, Nicholas N., Galbavy, William, Gong, Hui, Gou, Lin, Hatfield, Joshua T., Hintiryan, Houri, Hirokawa, Karla E., Kim, Gukhan, Kramer, Daniel J., Li, Anan, Li, Xiangning, Luo, Qingming, Muñoz-Castañeda, Rodrigo, Stafford, David A., Feng, Zhao, Jia, Xueyan, Jiang, Shengdian, Jiang, Tao, Kuang, Xiuli, Larsen, Rachael, Lesnar, Phil, Li, Yaoyao, Li, Yuanyuan, Liu, Lijuan, Peng, Hanchuan, Qu, Lei, Ren, Miao, Ruan, Zongcai, Shen, Elise, Song, Yuanyuan, Wakeman, Wayne, Wang, Peng, Wang, Yimin, Wang, Yun, Yin, Lulu, Yuan, Jing, Zhao, Sujun, Zhao, Xuan, Narasimhan, Arun, Palaniswamy, Ramesh, Banerjee, Samik, Ding, Liya, Huilgol, Dhananjay, Huo, Bingxing, Kuo, Hsien-Chi, Laturnus, Sophie, Li, Xu, Mitra, Partha P., Mizrachi, Judith, Wang, Quanxin, Xie, Peng, Xiong, Feng, Yu, Yang, Eichhorn, Stephen W., Berg, Jim, Bernabucci, Matteo, Bernaerts, Yves, Cadwell, Cathryn René, Castro, Jesus Ramon, Dalley, Rachel, Hartmanis, Leonard, Horwitz, Gregory D., Jiang, Xiaolong, Ko, Andrew L., Miranda, Elanine, Mulherkar, Shalaka, Nicovich, Philip R., Owen, Scott F., Sandberg, Rickard, Sorensen, Staci A., Tan, Zheng Huan, Allen, Shona, Hockemeyer, Dirk, Lee, Angus Y., Veldman, Matthew B., Adkins, Ricky S., Ament, Seth A., Bravo, Héctor Corrada, Carter, Robert, Chatterjee, Apaala, Colantuoni, Carlo, Crabtree, Jonathan, Creasy, Heather, Felix, Victor, Giglio, Michelle, Herb, Brian R., Kancherla, Jayaram, Mahurkar, Anup, McCracken, Carrie, Nickel, Lance, Olley, Dustin, Orvis, Joshua, Schor, Michael, Hood, Greg, Dichter, Benjamin, Grauer, Michael, Helba, Brian, Bandrowski, Anita, Barkas, Nikolaos, Carlin, Benjamin, D’Orazi, Florence D., Degatano, Kylee, Gillespie, Thomas H., Khajouei, Farzaneh, Konwar, Kishori, Thompson, Carol, Kelly, Kathleen, Mok, Stephanie, Sunkin, Susan, BRAIN Initiative Cell Census Network (BICCN) Corresponding authors, [missing], BICCN contributing principal investigators, [missing], Principal manuscript editors, [missing], Manuscript writing and figure generation, [missing], Analysis coordination, [missing], Integrated data analysis, [missing], scRNA-seq and snRNA-seq data generation and processing, [missing], ATAC-seq data generation and processing, [missing], Methylcytosine data production and analysis, [missing], Epi-retro-seq data generation and processing, [missing], ‘Omics data analysis, [missing], Tracing and connectivity data generation, [missing], Morphology data generation and reconstruction, [missing], OLST/STPT and other data generation, [missing], Morphology, connectivity and imaging analysis, [missing], Spatially resolved single-cell transcriptomics (MERFISH), [missing], Multimodal profiling (Patch-seq), [missing], Transgenic tools, [missing], NeMO archive and analytics, [missing], Brain Image Library (BIL) archive, [missing], DANDI archive, [missing], Brain Cell Data Center (BCDC), [missing], Project management, [missing], and BRAIN Initiative Cell Census Network (BICCN), [missing]

Subjects
Epigenomics, Male, INTERNEURONS, ORGANIZATION, MOUSE, Molecular neuroscience, Neural circuits, CLASSIFICATION, Article, Mice, Atlases as Topic, Glutamates, Species Specificity, Animals, Humans, TRANSCRIPTOMICS, SPECIFICATION, NEURONS, In Situ Hybridization, Fluorescence, Phylogeny, Neurons, Multidisciplinary, Gene Expression Profiling, Biology and Life Sciences, PATHWAYS, Brain, Callithrix, Censuses, Cellular neuroscience, Mathematics and Statistics, SINGLE, Organ Specificity, MORPHOLOGY, Motor cortex, Female, Single-Cell Analysis, Transcriptome
Abstract

Here we report the generation of a multimodal cell census and atlas of the mammalian primary motor cortex as the initial product of the BRAIN Initiative Cell Census Network (BICCN). This was achieved by coordinated large-scale analyses of single-cell transcriptomes, chromatin accessibility, DNA methylomes, spatially resolved single-cell transcriptomes, morphological and electrophysiological properties and cellular resolution input–output mapping, integrated through cross-modal computational analysis. Our results advance the collective knowledge and understanding of brain cell-type organization1–5. First, our study reveals a unified molecular genetic landscape of cortical cell types that integrates their transcriptome, open chromatin and DNA methylation maps. Second, cross-species analysis achieves a consensus taxonomy of transcriptomic types and their hierarchical organization that is conserved from mouse to marmoset and human. Third, in situ single-cell transcriptomics provides a spatially resolved cell-type atlas of the motor cortex. Fourth, cross-modal analysis provides compelling evidence for the transcriptomic, epigenomic and gene regulatory basis of neuronal phenotypes such as their physiological and anatomical properties, demonstrating the biological validity and genomic underpinning of neuron types. We further present an extensive genetic toolset for targeting glutamatergic neuron types towards linking their molecular and developmental identity to their circuit function. Together, our results establish a unifying and mechanistic framework of neuronal cell-type organization that integrates multi-layered molecular genetic and spatial information with multi-faceted phenotypic properties., The BRAIN Initiative Cell Census Network has constructed a multimodal cell census and atlas of the mammalian primary motor cortex in a landmark effort towards understanding brain cell-type diversity, neural circuit organization and brain function.

Published
2021

31. A mesoscale connectome of the mouse brain

Author

Oh, Seung Wook, Harris, Julie A., Ng, Lydia, Winslow, Brent, Cain, Nicholas, Mihalas, Stefan, Wang, Quanxin, Lau, Chris, Kuan, Leonard, Henry, Alex M., Mortrud, Marty T., Ouellette, Benjamin, Nguyen, Thuc Nghi, Sorensen, Staci A., Slaughterbeck, Clifford R., Wakeman, Wayne, Li, Yang, Feng, David, Ho, Anh, Nicholas, Eric, Hirokawa, Karla E., Bohn, Phillip, Joines, Kevin M., Peng, Hanchuan, Hawrylycz, Michael J., Phillips, John W., Hohmann, John G., Wohnoutka, Paul, Gerfen, Charles R., Koch, Christof, Bernard, Amy, Dang, Chinh, Jones, Allan R., and Zeng, Hongkui

Subjects
Brain -- Research -- Physiological aspects, Neural circuitry -- Research -- Physiological aspects, Enhanced green fluorescent protein -- Research -- Physiological aspects, Computer simulation -- Usage, Computer-generated environments -- Usage, Environmental issues, Science and technology, Zoology and wildlife conservation
Abstract

Comprehensive knowledge of the brain's wiring diagram is fundamental for understanding how the nervous system processes information at both local and global scales. However, with the singular exception of the C. elegans microscale connectome, there are no complete connectivity data sets in other species. Here we report a brain-wide, cellular-level, mesoscale connectome for the mouse. The Allen Mouse Brain Connectivity Atlas uses enhanced green fluorescent protein (EGFP)-expressing adeno-associated viral vectors to trace axonal projections from defined regions and cell types, and high-throughput serial two-photon tomography to image the EGFP-labelled axons throughout the brain. This systematic and standardized approach allows spatial registration of individual experiments into a common three dimensional (3D) reference space, resulting in a whole-brain connectivity matrix. A computational model yields insights into connectional strength distribution, symmetry and other network properties. Virtual tractography illustrates 3D topography among interconnected regions. Cortico-thalamic pathway analysis demonstrates segregation and integration of parallel pathways. The Allen Mouse Brain Connectivity Atlas is a freely available, foundational resource for structural and functional investigations into the neural circuits that support behavioural and cognitive processes in health and disease., A central principle of neuroscience is that the nervous system is a network of diverse types of neurons and supporting cells communicating with each other mainly through synaptic connections. This [...]

Published
2014
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34. Single-cell and single-nucleus RNA-seq uncovers shared and distinct axes of variation in dorsal LGN neurons in mice, non-human primates, and humans

Author

Bakken, Trygve E, primary, van Velthoven, Cindy TJ, additional, Menon, Vilas, additional, Hodge, Rebecca D, additional, Yao, Zizhen, additional, Nguyen, Thuc Nghi, additional, Graybuck, Lucas T, additional, Horwitz, Gregory D, additional, Bertagnolli, Darren, additional, Goldy, Jeff, additional, Yanny, Anna Marie, additional, Garren, Emma, additional, Parry, Sheana, additional, Casper, Tamara, additional, Shehata, Soraya I, additional, Barkan, Eliza R, additional, Szafer, Aaron, additional, Levi, Boaz P, additional, Dee, Nick, additional, Smith, Kimberly A, additional, Sunkin, Susan M, additional, Bernard, Amy, additional, Phillips, John, additional, Hawrylycz, Michael J, additional, Koch, Christof, additional, Murphy, Gabe J, additional, Lein, Ed, additional, Zeng, Hongkui, additional, and Tasic, Bosiljka, additional

Published
2021
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35. Cellular resolution anatomical and molecular atlases for prenatal human brains

Author

Ding, Song-Lin, primary, Royall, Joshua J., additional, Lesnar, Phil, additional, Facer, Benjamin A.C., additional, Smith, Kimberly A., additional, Wei, Yina, additional, Brouner, Kristina, additional, Dalley, Rachel A., additional, Dee, Nick, additional, Dolbeare, Tim A., additional, Ebbert, Amanda, additional, Glass, Ian A., additional, Glattfelter, Katie, additional, Keller, Nika H., additional, Lee, Felix, additional, Lemon, Tracy A., additional, Nyhus, Julie, additional, Pendergraft, Julie, additional, Reid, Robert, additional, Sarreal, Melaine, additional, Shapovalova, Nadiya V., additional, Szafer, Aaron, additional, Phillips, John W., additional, Sunkin, Susan M., additional, Hohmann, John G., additional, Jones, Allan R., additional, Hawrylycz, Michael J., additional, Hof, Patrick R., additional, Ng, Lydia, additional, Bernard, Amy, additional, and Lein, Ed S., additional

Published
2021
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36. Author response: Single-cell and single-nucleus RNA-seq uncovers shared and distinct axes of variation in dorsal LGN neurons in mice, non-human primates, and humans

Author

Bakken, Trygve E, primary, van Velthoven, Cindy TJ, additional, Menon, Vilas, additional, Hodge, Rebecca D, additional, Yao, Zizhen, additional, Nguyen, Thuc Nghi, additional, Graybuck, Lucas T, additional, Horwitz, Gregory D, additional, Bertagnolli, Darren, additional, Goldy, Jeff, additional, Yanny, Anna Marie, additional, Garren, Emma, additional, Parry, Sheana, additional, Casper, Tamara, additional, Shehata, Soraya I, additional, Barkan, Eliza R, additional, Szafer, Aaron, additional, Levi, Boaz P, additional, Dee, Nick, additional, Smith, Kimberly A, additional, Sunkin, Susan M, additional, Bernard, Amy, additional, Phillips, John, additional, Hawrylycz, Michael J, additional, Koch, Christof, additional, Murphy, Gabe J, additional, Lein, Ed, additional, Zeng, Hongkui, additional, and Tasic, Bosiljka, additional

Published
2021
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37. A taxonomy of transcriptomic cell types across the isocortex and hippocampal formation

Author

Yao, Zizhen, primary, van Velthoven, Cindy T.J., additional, Nguyen, Thuc Nghi, additional, Goldy, Jeff, additional, Sedeno-Cortes, Adriana E., additional, Baftizadeh, Fahimeh, additional, Bertagnolli, Darren, additional, Casper, Tamara, additional, Chiang, Megan, additional, Crichton, Kirsten, additional, Ding, Song-Lin, additional, Fong, Olivia, additional, Garren, Emma, additional, Glandon, Alexandra, additional, Gouwens, Nathan W., additional, Gray, James, additional, Graybuck, Lucas T., additional, Hawrylycz, Michael J., additional, Hirschstein, Daniel, additional, Kroll, Matthew, additional, Lathia, Kanan, additional, Lee, Changkyu, additional, Levi, Boaz, additional, McMillen, Delissa, additional, Mok, Stephanie, additional, Pham, Thanh, additional, Ren, Qingzhong, additional, Rimorin, Christine, additional, Shapovalova, Nadiya, additional, Sulc, Josef, additional, Sunkin, Susan M., additional, Tieu, Michael, additional, Torkelson, Amy, additional, Tung, Herman, additional, Ward, Katelyn, additional, Dee, Nick, additional, Smith, Kimberly A., additional, Tasic, Bosiljka, additional, and Zeng, Hongkui, additional

Published
2021
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38. A mesoscale connectome of the mouse brain

Author

Wook Oh, Seung, Harris, Julie A., Ng, Lydia, Winslow, Brent, Cain, Nicholas, Mihalas, Stefan, Wang, Quanxin, Lau, Chris, Kuan, Leonard, Henry, Alex M., Mortrud, Marty T., Ouellette, Benjamin, Nghi Nguyen, Thuc, Sorensen, Staci A., Slaughterbeck, Clifford R., Wakeman, Wayne, Li, Yang, Feng, David, Ho, Anh, Nicholas, Eric, Hirokawa, Karla E., Bohn, Phillip, Joines, Kevin M., Peng, Hanchuan, Hawrylycz, Michael J., Phillips, John W., Hohmann, John G., Wohnoutka, Paul, Gerfen, Charles R., Koch, Christof, Bernard, Amy, Dang, Chinh, Jones, Allan R., and Zeng, Hongkui

Published
2014
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39. Common cell type nomenclature for the mammalian brain

Author

Miller, Jeremy A, primary, Gouwens, Nathan W, additional, Tasic, Bosiljka, additional, Collman, Forrest, additional, van Velthoven, Cindy TJ, additional, Bakken, Trygve E, additional, Hawrylycz, Michael J, additional, Zeng, Hongkui, additional, Lein, Ed S, additional, and Bernard, Amy, additional

Published
2020
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41. Integrated Morphoelectric and Transcriptomic Classification of Cortical GABAergic Cells

Author

Gouwens, Nathan W., primary, Sorensen, Staci A., additional, Baftizadeh, Fahimeh, additional, Budzillo, Agata, additional, Lee, Brian R., additional, Jarsky, Tim, additional, Alfiler, Lauren, additional, Baker, Katherine, additional, Barkan, Eliza, additional, Berry, Kyla, additional, Bertagnolli, Darren, additional, Bickley, Kris, additional, Bomben, Jasmine, additional, Braun, Thomas, additional, Brouner, Krissy, additional, Casper, Tamara, additional, Crichton, Kirsten, additional, Daigle, Tanya L., additional, Dalley, Rachel, additional, de Frates, Rebecca A., additional, Dee, Nick, additional, Desta, Tsega, additional, Lee, Samuel Dingman, additional, Dotson, Nadezhda, additional, Egdorf, Tom, additional, Ellingwood, Lauren, additional, Enstrom, Rachel, additional, Esposito, Luke, additional, Farrell, Colin, additional, Feng, David, additional, Fong, Olivia, additional, Gala, Rohan, additional, Gamlin, Clare, additional, Gary, Amanda, additional, Glandon, Alexandra, additional, Goldy, Jeff, additional, Gorham, Melissa, additional, Graybuck, Lucas, additional, Gu, Hong, additional, Hadley, Kristen, additional, Hawrylycz, Michael J., additional, Henry, Alex M., additional, Hill, DiJon, additional, Hupp, Madie, additional, Kebede, Sara, additional, Kim, Tae Kyung, additional, Kim, Lisa, additional, Kroll, Matthew, additional, Lee, Changkyu, additional, Link, Katherine E., additional, Mallory, Matthew, additional, Mann, Rusty, additional, Maxwell, Michelle, additional, McGraw, Medea, additional, McMillen, Delissa, additional, Mukora, Alice, additional, Ng, Lindsay, additional, Ng, Lydia, additional, Ngo, Kiet, additional, Nicovich, Philip R., additional, Oldre, Aaron, additional, Park, Daniel, additional, Peng, Hanchuan, additional, Penn, Osnat, additional, Pham, Thanh, additional, Pom, Alice, additional, Popović, Zoran, additional, Potekhina, Lydia, additional, Rajanbabu, Ramkumar, additional, Ransford, Shea, additional, Reid, David, additional, Rimorin, Christine, additional, Robertson, Miranda, additional, Ronellenfitch, Kara, additional, Ruiz, Augustin, additional, Sandman, David, additional, Smith, Kimberly, additional, Sulc, Josef, additional, Sunkin, Susan M., additional, Szafer, Aaron, additional, Tieu, Michael, additional, Torkelson, Amy, additional, Trinh, Jessica, additional, Tung, Herman, additional, Wakeman, Wayne, additional, Ward, Katelyn, additional, Williams, Grace, additional, Zhou, Zhi, additional, Ting, Jonathan T., additional, Arkhipov, Anton, additional, Sümbül, Uygar, additional, Lein, Ed S., additional, Koch, Christof, additional, Yao, Zizhen, additional, Tasic, Bosiljka, additional, Berg, Jim, additional, Murphy, Gabe J., additional, and Zeng, Hongkui, additional

Published
2020
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43. An anatomically comprehensive atlas of the adult human brain transcriptome

Author

Hawrylycz, Michael J., Lein, Ed S., Guillozet-Bongaarts, Angela L., Shen, Elaine H., Ng, Lydia, Miller, Jeremy A., van de Lagemaat, Louie N., Smith, Kimberly A., Ebbert, Amanda, Riley, Zackery L., Abajian, Chris, Beckmann, Christian F., Bernard, Amy, Bertagnolli, Darren, Boe, Andrew F., Cartagena, Preston M., Chakravarty, Mallar M., Chapin, Mike, Chong, Jimmy, Dalley, Rachel A., Daly, Barry David, Dang, Chinh, Datta, Suvro, Dee, Nick, Dolbeare, Tim A., Faber, Vance, Feng, David, Fowler, David R., Goldy, Jeff, Gregor, Benjamin W., Haradon, Zeb, Haynor, David R., Hohmann, John G., Horvath, Steve, Howard, Robert E., Jeromin, Andreas, Jochim, Jayson M., Kinnunen, Marty, Lau, Christopher, Lazarz, Evan T., Lee, Changkyu, Lemon, Tracy A., Li, Ling, Li, Yang, Morris, John A., Overly, Caroline C., Parker, Patrick D., Parry, Sheana E., Reding, Melissa, Royall, Joshua J., Schulkin, Jay, Sequeira, Pedro Adolfo, Slaughterbeck, Clifford R., Smith, Simon C., Sodt, Andy J., Sunkin, Susan M., Swanson, Beryl E., Vawter, Marquis P., Williams, Derric, Wohnoutka, Paul, Zielke, Ronald H., Geschwind, Daniel H., Hof, Patrick R., Smith, Stephen M., Koch, Christof, Grant, Seth G. N., and Jones, Allan R.

Published
2012
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45. Human cortical expansion involves diversification and specialization of supragranular intratelencephalic-projecting neurons

Author

Berg, Jim, primary, Sorensen, Staci A., additional, Ting, Jonathan T., additional, Miller, Jeremy A., additional, Chartrand, Thomas, additional, Buchin, Anatoly, additional, Bakken, Trygve E., additional, Budzillo, Agata, additional, Dee, Nick, additional, Ding, Song-Lin, additional, Gouwens, Nathan W., additional, Hodge, Rebecca D., additional, Kalmbach, Brian, additional, Lee, Changkyu, additional, Lee, Brian R., additional, Alfiler, Lauren, additional, Baker, Katherine, additional, Barkan, Eliza, additional, Beller, Allison, additional, Berry, Kyla, additional, Bertagnolli, Darren, additional, Bickley, Kris, additional, Bomben, Jasmine, additional, Braun, Thomas, additional, Brouner, Krissy, additional, Casper, Tamara, additional, Chong, Peter, additional, Crichton, Kirsten, additional, Dalley, Rachel, additional, de Frates, Rebecca, additional, Desta, Tsega, additional, Dingman Lee, Samuel, additional, D’Orazi, Florence, additional, Dotson, Nadezhda, additional, Egdorf, Tom, additional, Enstrom, Rachel, additional, Farrell, Colin, additional, Feng, David, additional, Fong, Olivia, additional, Furdan, Szabina, additional, Galakhova, Anna A., additional, Gamlin, Clare, additional, Gary, Amanda, additional, Glandon, Alexandra, additional, Goldy, Jeff, additional, Gorham, Melissa, additional, Goriounova, Natalia A., additional, Gratiy, Sergey, additional, Graybuck, Lucas, additional, Gu, Hong, additional, Hadley, Kristen, additional, Hansen, Nathan, additional, Heistek, Tim S., additional, Henry, Alex M., additional, Heyer, Djai B., additional, Hill, DiJon, additional, Hill, Chris, additional, Hupp, Madie, additional, Jarsky, Tim, additional, Kebede, Sara, additional, Keene, Lisa, additional, Kim, Lisa, additional, Kim, Mean-Hwan, additional, Kroll, Matthew, additional, Latimer, Caitlin, additional, Levi, Boaz P., additional, Link, Katherine E., additional, Mallory, Matthew, additional, Mann, Rusty, additional, Marshall, Desiree, additional, Maxwell, Michelle, additional, McGraw, Medea, additional, McMillen, Delissa, additional, Melief, Erica, additional, Mertens, Eline J., additional, Mezei, Leona, additional, Mihut, Norbert, additional, Mok, Stephanie, additional, Molnar, Gabor, additional, Mukora, Alice, additional, Ng, Lindsay, additional, Ngo, Kiet, additional, Nicovich, Philip R., additional, Nyhus, Julie, additional, Olah, Gaspar, additional, Oldre, Aaron, additional, Omstead, Victoria, additional, Ozsvar, Attila, additional, Park, Daniel, additional, Peng, Hanchuan, additional, Pham, Trangthanh, additional, Pom, Christina A., additional, Potekhina, Lydia, additional, Rajanbabu, Ramkumar, additional, Ransford, Shea, additional, Reid, David, additional, Rimorin, Christine, additional, Ruiz, Augustin, additional, Sandman, David, additional, Sulc, Josef, additional, Sunkin, Susan M., additional, Szafer, Aaron, additional, Szemenyei, Viktor, additional, Thomsen, Elliot R., additional, Tieu, Michael, additional, Torkelson, Amy, additional, Trinh, Jessica, additional, Tung, Herman, additional, Wakeman, Wayne, additional, Ward, Katelyn, additional, Wilbers, René, additional, Williams, Grace, additional, Yao, Zizhen, additional, Yoon, Jae-Geun, additional, Anastassiou, Costas, additional, Arkhipov, Anton, additional, Barzo, Pal, additional, Bernard, Amy, additional, Cobbs, Charles, additional, de Witt Hamer, Philip C., additional, Ellenbogen, Richard G., additional, Esposito, Luke, additional, Ferreira, Manuel, additional, Gwinn, Ryder P., additional, Hawrylycz, Michael J., additional, Hof, Patrick R., additional, Idema, Sander, additional, Jones, Allan R., additional, Keene, C.Dirk, additional, Ko, Andrew L., additional, Murphy, Gabe J., additional, Ng, Lydia, additional, Ojemann, Jeffrey G., additional, Patel, Anoop P., additional, Phillips, John W., additional, Silbergeld, Daniel L., additional, Smith, Kimberly, additional, Tasic, Bosiljka, additional, Yuste, Rafael, additional, Segev, Idan, additional, de Kock, Christiaan P.J., additional, Mansvelder, Huibert D., additional, Tamas, Gabor, additional, Zeng, Hongkui, additional, Koch, Christof, additional, and Lein, Ed S., additional

Published
2020
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46. Toward an integrated classification of neuronal cell types: morphoelectric and transcriptomic characterization of individual GABAergic cortical neurons

Author

Gouwens, Nathan W., primary, Sorensen, Staci A., additional, Baftizadeh, Fahimeh, additional, Budzillo, Agata, additional, Lee, Brian R., additional, Jarsky, Tim, additional, Alfiler, Lauren, additional, Arkhipov, Anton, additional, Baker, Katherine, additional, Barkan, Eliza, additional, Berry, Kyla, additional, Bertagnolli, Darren, additional, Bickley, Kris, additional, Bomben, Jasmine, additional, Braun, Thomas, additional, Brouner, Krissy, additional, Casper, Tamara, additional, Crichton, Kirsten, additional, Daigle, Tanya L., additional, Dalley, Rachel, additional, de Frates, Rebecca, additional, Dee, Nick, additional, Desta, Tsega, additional, Lee, Samuel Dingman, additional, Dotson, Nadezhda, additional, Egdorf, Tom, additional, Ellingwood, Lauren, additional, Enstrom, Rachel, additional, Esposito, Luke, additional, Farrell, Colin, additional, Feng, David, additional, Fong, Olivia, additional, Gala, Rohan, additional, Gamlin, Clare, additional, Gary, Amanda, additional, Glandon, Alexandra, additional, Goldy, Jeff, additional, Gorham, Melissa, additional, Graybuck, Lucas, additional, Gu, Hong, additional, Hadley, Kristen, additional, Hawrylycz, Michael J., additional, Henry, Alex M., additional, Hill, DiJon, additional, Hupp, Madie, additional, Kebede, Sara, additional, Kim, Tae Kyung, additional, Kim, Lisa, additional, Kroll, Matthew, additional, Lee, Changkyu, additional, Link, Katherine E., additional, Mallory, Matthew, additional, Mann, Rusty, additional, Maxwell, Michelle, additional, McGraw, Medea, additional, McMillen, Delissa, additional, Mukora, Alice, additional, Ng, Lindsay, additional, Ng, Lydia, additional, Ngo, Kiet, additional, Nicovich, Philip R., additional, Oldre, Aaron, additional, Park, Daniel, additional, Peng, Hanchuan, additional, Penn, Osnat, additional, Pham, Thanh, additional, Pom, Alice, additional, Potekhina, Lydia, additional, Rajanbabu, Ramkumar, additional, Ransford, Shea, additional, Reid, David, additional, Rimorin, Christine, additional, Robertson, Miranda, additional, Ronellenfitch, Kara, additional, Ruiz, Augustin, additional, Sandman, David, additional, Smith, Kimberly, additional, Sulc, Josef, additional, Sunkin, Susan M., additional, Szafer, Aaron, additional, Tieu, Michael, additional, Torkelson, Amy, additional, Trinh, Jessica, additional, Tung, Herman, additional, Wakeman, Wayne, additional, Ward, Katelyn, additional, Williams, Grace, additional, Zhou, Zhi, additional, Ting, Jonathan, additional, Sumbul, Uygar, additional, Lein, Ed, additional, Koch, Christof, additional, Yao, Zizhen, additional, Tasic, Bosiljka, additional, Berg, Jim, additional, Murphy, Gabe J., additional, and Zeng, Hongkui, additional

Published
2020
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47. A Taxonomy of Transcriptomic Cell Types Across the Isocortex and Hippocampal Formation

Author

Yao, Zizhen, primary, Nguyen, Thuc Nghi, additional, van Velthoven, Cindy T. J., additional, Goldy, Jeff, additional, Sedeno-Cortes, Adriana E., additional, Baftizadeh, Fahimeh, additional, Bertagnolli, Darren, additional, Casper, Tamara, additional, Crichton, Kirsten, additional, Ding, Song-Lin, additional, Fong, Olivia, additional, Garren, Emma, additional, Glandon, Alexandra, additional, Gray, James, additional, Graybuck, Lucas T., additional, Hawrylycz, Michael J., additional, Hirschstein, Daniel, additional, Kroll, Matthew, additional, Lathia, Kanan, additional, Levi, Boaz, additional, McMillen, Delissa, additional, Mok, Stephanie, additional, Pham, Thanh, additional, Ren, Qingzhong, additional, Rimorin, Christine, additional, Shapovalova, Nadiya, additional, Sulc, Josef, additional, Sunkin, Susan M., additional, Tieu, Michael, additional, Torkelson, Amy, additional, Tung, Herman, additional, Ward, Katelyn, additional, Dee, Nick, additional, Smith, Kimberly A., additional, Tasic, Bosiljka, additional, and Zeng, Hongkui, additional

Published
2020
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48. Toward an Integrated Classification of Cell Types: Morphoelectric and Transcriptomic Characterization of Individual GABAergic Cortical Neurons

Author

Gouwens, Nathan W., primary, Sorensen, Staci A., additional, Baftizadeh, Fahimeh, additional, Budzillo, Agata, additional, Lee, Brian R., additional, Jarsky, Tim, additional, Alfiler, Lauren, additional, Baker, Katherine, additional, Barkan, Eliza, additional, Berry, Kyla, additional, Bertagnolli, Darren, additional, Bickley, Kris, additional, Bomben, Jasmine, additional, Braun, Thomas, additional, Brouner, Kirssy, additional, Casper, Tamara, additional, Crichton, Kirsten, additional, Daigle, Tanya L., additional, Dalley, Rachel, additional, de Frates, Rebeeca, additional, Dee, Nick, additional, Desta, Tsega, additional, Dingman Lee, Samuel, additional, Dotson, Nadezhda, additional, Egdorf, Tom, additional, Ellingwood, Lauren, additional, Enstrom, Rachel, additional, Esposito, Luke, additional, Farrell, Colin, additional, Feng, David, additional, Fong, Olivia, additional, Gala, Rohan, additional, Gamlin, Clare, additional, Gary, Amanda, additional, Glandon, Alexandra, additional, Goldy, Jeff, additional, Gorham, Melissa, additional, Graybuck, Lucas, additional, Gu, Hong, additional, Hadley, Kirsten, additional, Hawrylycz, Michael J., additional, Henry, Alex M., additional, Hill, DiJon, additional, Happ, Madie, additional, Kebede, Sara, additional, Kyung Kim, Tae, additional, Kim, Lisa, additional, Kroll, Matthew, additional, Lee, Changkyu, additional, Link, Katherine E., additional, Mallory, Matthew, additional, Mann, Rusty, additional, Maxwell, Michelle, additional, McGraw, Medea, additional, McMillen, Delissa, additional, Mukora, Alice, additional, Ng, Lindsay, additional, Ng, Lydia, additional, Ngo, Kiet, additional, Nicovich, Philip R., additional, Oldre, Aaron, additional, Park, Daniel, additional, Peng, Hanchuan, additional, Penn, Osnat, additional, Pham, Thanh, additional, Pom, Alice, additional, Potekhina, Lyida, additional, Rajanbabu, Ramkumar, additional, Ransford, Shea, additional, Reid, David, additional, Rimorin, Christine, additional, Robertson, Miranda, additional, Ronellenfitch, Kara, additional, Ruiz, Augustin, additional, Sandman, David, additional, Smith, Kimberly, additional, Sulc, Josef, additional, Sunkin, Susan M., additional, Szafer, Aaron, additional, Tieu, Michael, additional, Torkelson, Amy, additional, Trinh, Jessica, additional, Tung, Herman, additional, Wakeman, Wayne, additional, Ward, Katelyn, additional, Williams, Grace, additional, Zhou, Zhi, additional, Ting, Jonathan, additional, Arkhipov, Anton, additional, Sumbul, Uygar, additional, Lein, Ed, additional, Koch, Christof, additional, Yao, Zizhen, additional, Tasic, Bosiljka, additional, Berg, Jim, additional, Murphy, Gabe J., additional, and Zeng, Hongkui, additional

Published
2020
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50. Complete single neuron reconstruction reveals morphological diversity in molecularly defined claustral and cortical neuron types

Author

Wang, Yun, Xie, Peng, Gong, Hui, Zhou, Zhi, Kuang, Xiuli, Wang, Yimin, Li, An-an, Li, Yaoyao, Liu, Lijuan, Veldman, Matthew B., Daigle, Tanya L., Hirokawa, Karla E., Qu, Lei, Lesnar, Phil, Jiang, Shengdian, Yu, Yang, Wakeman, Wayne, Zeng, Shaoqun, Li, Xiangning, Yuan, Jing, Nguyen, Thuc Nghi, Larsen, Rachael, Kebede, Sara, Song, Yuanyuan, Yin, Lulu, Zhao, Sujun, Feiner, Aaron, Shen, Elise, Hill, Chris, Wang, Quanxin, Mok, Stephanie, Sunkin, Susan M., Josh Huang, Z., Esposito, Luke, Yao, Zizhen, Hawrylycz, Michael J., Tasic, Bosiljka, Ng, Lydia, Sorensen, Staci A., William Yang, X., Harris, Julie A., Koch, Christof, Luo, Qingming, Peng, Hanchuan, and Zeng, Hongkui

Abstract

SUMMARY Ever since the seminal findings of Ramon y Cajal, dendritic and axonal morphology has been recognized as a defining feature of neuronal types and their connectivity. Yet our knowledge about the diversity of neuronal morphology, in particular its distant axonal projections, is still extremely limited. To systematically obtain single neuron full morphology on a brain-wide scale in mice, we established a pipeline that encompasses five major components: sparse labeling, whole-brain imaging, reconstruction, registration, and classification. We achieved sparse, robust and consistent fluorescent labeling of a wide range of neuronal types across the mouse brain in an efficient way by combining transgenic or viral Cre delivery with novel transgenic reporter lines, and generated a large set of high-resolution whole-brain fluorescent imaging datasets containing thousands of reconstructable neurons using the fluorescence micro-optical sectioning tomography (fMOST) system. We developed a set of software tools based on the visualization and analysis suite, Vaa3D, for large-volume image data processing and computation-assisted morphological reconstruction. In a proof-of-principle case, we reconstructed full morphologies of 96 neurons from the claustrum and cortex that belong to a single transcriptomically-defined neuronal subclass. We developed a data-driven clustering approach to classify them into multiple morphological and projection types, suggesting that these neurons work in a targeted and coordinated manner to process cortical information. Imaging data and the new computational reconstruction tools are publicly available to enable community-based efforts towards large-scale full morphology reconstruction of neurons throughout the entire mouse brain.

Published
2019
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