Search

Your search keyword '"Tyler, Mollenkopf"' showing total 5 results
Start Over Author "Tyler, Mollenkopf"
5 results on '"Tyler, Mollenkopf"'

1. A guide to the BRAIN Initiative Cell Census Network data ecosystem.

Author

Michael Hawrylycz, Maryann E Martone, Giorgio A Ascoli, Jan G Bjaalie, Hong-Wei Dong, Satrajit S Ghosh, Jesse Gillis, Ronna Hertzano, David R Haynor, Patrick R Hof, Yongsoo Kim, Ed Lein, Yufeng Liu, Jeremy A Miller, Partha P Mitra, Eran Mukamel, Lydia Ng, David Osumi-Sutherland, Hanchuan Peng, Patrick L Ray, Raymond Sanchez, Aviv Regev, Alex Ropelewski, Richard H Scheuermann, Shawn Zheng Kai Tan, Carol L Thompson, Timothy Tickle, Hagen Tilgner, Merina Varghese, Brock Wester, Owen White, Hongkui Zeng, Brian Aevermann, David Allemang, Seth Ament, Thomas L Athey, Cody Baker, Katherine S Baker, Pamela M Baker, Anita Bandrowski, Samik Banerjee, Prajal Bishwakarma, Ambrose Carr, Min Chen, Roni Choudhury, Jonah Cool, Heather Creasy, Florence D'Orazi, Kylee Degatano, Benjamin Dichter, Song-Lin Ding, Tim Dolbeare, Joseph R Ecker, Rongxin Fang, Jean-Christophe Fillion-Robin, Timothy P Fliss, James Gee, Tom Gillespie, Nathan Gouwens, Guo-Qiang Zhang, Yaroslav O Halchenko, Nomi L Harris, Brian R Herb, Houri Hintiryan, Gregory Hood, Sam Horvath, Bingxing Huo, Dorota Jarecka, Shengdian Jiang, Farzaneh Khajouei, Elizabeth A Kiernan, Huseyin Kir, Lauren Kruse, Changkyu Lee, Boudewijn Lelieveldt, Yang Li, Hanqing Liu, Lijuan Liu, Anup Markuhar, James Mathews, Kaylee L Mathews, Chris Mezias, Michael I Miller, Tyler Mollenkopf, Shoaib Mufti, Christopher J Mungall, Joshua Orvis, Maja A Puchades, Lei Qu, Joseph P Receveur, Bing Ren, Nathan Sjoquist, Brian Staats, Daniel Tward, Cindy T J van Velthoven, Quanxin Wang, Fangming Xie, Hua Xu, Zizhen Yao, Zhixi Yun, Yun Renee Zhang, W Jim Zheng, and Brian Zingg

Subjects
Biology (General), QH301-705.5
Abstract

Characterizing cellular diversity at different levels of biological organization and across data modalities is a prerequisite to understanding the function of cell types in the brain. Classification of neurons is also essential to manipulate cell types in controlled ways and to understand their variation and vulnerability in brain disorders. The BRAIN Initiative Cell Census Network (BICCN) is an integrated network of data-generating centers, data archives, and data standards developers, with the goal of systematic multimodal brain cell type profiling and characterization. Emphasis of the BICCN is on the whole mouse brain with demonstration of prototype feasibility for human and nonhuman primate (NHP) brains. Here, we provide a guide to the cellular and spatial approaches employed by the BICCN, and to accessing and using these data and extensive resources, including the BRAIN Cell Data Center (BCDC), which serves to manage and integrate data across the ecosystem. We illustrate the power of the BICCN data ecosystem through vignettes highlighting several BICCN analysis and visualization tools. Finally, we present emerging standards that have been developed or adopted toward Findable, Accessible, Interoperable, and Reusable (FAIR) neuroscience. The combined BICCN ecosystem provides a comprehensive resource for the exploration and analysis of cell types in the brain.

Published
2023
Full Text
View/download PDF

2. Integrated multimodal cell atlas of Alzheimer’s disease

Author

Mariano Gabitto, Kyle Travaglini, Jeannelle Ariza, Eitan Kaplan, Brian Long, Victoria Rachleff, Yi Ding, Joseph Mahoney, Nick Dee, Jeff Goldy, Erica Melief, Krissy Brouner, Jazmin Compos, John Campos, Ambrose Carr, Tamara Casper, Rushil Chakrabarty, Michael Clark, Jonah Cool, Rachel Dalley, Martin Darvas, Tim Dolbeare, Song-Lin Ding, Tom Egdorf, Luke Esposito, Rebecca Ferrer, Rohan Gala, Amanda Gary, Jessica Gloe, Nathan Guilford, Junitta Guzman, Windy Ho, Tim Jarsky, Nelson Johansen, Brian Kalmbach, Lisa Keene, Sarah Khawand, Mitchell Kilgore, Amanda Kirkland, Michael Kunst, Brian Lee, Christine Mac Donald, Jocelin Malone, Zoe Maltzer, Naomi Martin, Rachel McCue, Delissa McMillen, Emma Meyerdierks, Kelly Meyers, Tyler Mollenkopf, Mark Montine, Amber Nolan, Julie Nyhus, Paul Olsen, Maiya Pacleb, Trangthanh Pham, Christina Pom, Nadia Postupna, Augustin Ruiz, Aimee Schantz, Staci Sorensen, Brian Staats, Matt Sullivan, Susan Sunkin, Carol Thompson, Michael Tieu, Jonathan Ting, Amy Torkelson, Tracy Tran, Nasmil Valera Cuevas, Ming-Qiang Wang, Jack Waters, Angela Wilson, David Haynor, Nicole Gatto, Suman Jayadev, Shoaib Mufti, Lydia Ng, Shubhabrata Mukherjee, Paul Crane, Caitlin Latimer, Boaz Levi, Kimberly Smith, Jennie Close, Jeremy Miller, Rebecca Hodge, Eric Larson, Thomas Grabowski, Michael Hawrylycz, C. Keene, and Ed Lein

Abstract

Alzheimer’s disease (AD) is the most common cause of dementia in older adults. Neuropathological and imaging studies have demonstrated a progressive stereotyped accumulation of protein aggregates, but the underlying molecular and cellular mechanisms driving AD progression and vulnerable cell populations affected by disease remain coarsely understood. The current study harnesses the BRAIN Initiative Cell Census Network experimental practices, combining quantitative neuropathology with single cell genomics and spatial transcriptomics, to understand the impact of disease progression on middle temporal gyrus cell types. We used quantitative neuropathology to place 84 cases spanning the spectrum of AD pathology along a continuous disease pseudoprogression score. We used multiomic technologies to profile single nuclei from each donor, mapping their identity to a common cell type reference with unprecedented resolution. Temporal analysis of cell-type proportions indicated an early reduction of Somatostatin-expressing neuronal subtypes and a late decrease of supragranular intratelencephalic-projecting excitatory and Parvalbumin-expressing neurons, with increases in disease-associated microglial and astrocytic states. We found complex gene expression differences, ranging from global to cell type-specific effects. These effects showed different temporal patterns indicating diverse cellular perturbations as a function of disease progression. A subset of donors showed a particularly severe cellular and molecular phenotype, which correlated with steeper cognitive decline. We have created a freely available public resource to explore these data and to accelerate progress in AD research at SEA-AD.org.

Published
2023
Full Text
View/download PDF

3. Integrated multimodal cell atlas of Alzheimer’s disease

Author

Mariano I. Gabitto, Kyle J. Travaglini, Victoria M. Rachleff, Eitan S. Kaplan, Brian Long, Jeanelle Ariza, Yi Ding, Joseph T. Mahoney, Nick Dee, Jeff Goldy, Erica J. Melief, Krissy Brouner, Jazmin Campos, John Campos, Ambrose J. Carr, Tamara Casper, Rushil Chakrabarty, Michael Clark, Jonah Cool, Nasmil J. Valera Cuevas, Rachel Dalley, Martin Darvas, Song-Lin Ding, Tim Dolbeare, Christine L. Mac Donald, Tom Egdorf, Luke Esposito, Rebecca Ferrer, Rohan Gala, Amanda Gary, Jessica Gloe, Nathan Guilford, Junitta Guzman, Daniel Hirschstein, Windy Ho, Tim Jarksy, Nelson Johansen, Brian E. Kalmbach, Lisa M. Keene, Sarah Khawand, Mitch Kilgore, Amanda Kirkland, Michael Kunst, Brian R. Lee, Jocelin Malone, Zoe Maltzer, Naomi Martin, Rachel McCue, Delissa McMillen, Emma Meyerdierks, Kelly P. Meyers, Tyler Mollenkopf, Mark Montine, Amber L. Nolan, Julie Nyhus, Paul A. Olsen, Maiya Pacleb, Nicholas Peña, Thanh Pham, Christina Alice Pom, Nadia Postupna, Augustin Ruiz, Aimee M. Schantz, Nadiya V. Shapovalova, Staci A. Sorensen, Brian Staats, Matt Sullivan, Susan M. Sunkin, Carol Thompson, Michael Tieu, Jonathan Ting, Amy Torkelson, Tracy Tran, Ming-Qiang Wang, Jack Waters, Angela M. Wilson, David Haynor, Nicole Gatto, Suman Jayadev, Shoaib Mufti, Lydia Ng, Shubhabrata Mukherjee, Paul K. Crane, Caitlin S. Latimer, Boaz P. Levi, Kimberly Smith, Jennie L. Close, Jeremy A. Miller, Rebecca D. Hodge, Eric B. Larson, Thomas J. Grabowski, Michael Hawrylycz, C. Dirk Keene, and Ed S. Lein

Abstract

Alzheimer’s disease (AD) is the most common cause of dementia in older adults. Neuropathological and imaging studies have demonstrated a progressive and stereotyped accumulation of protein aggregates, but the underlying molecular and cellular mechanisms driving AD progression and vulnerable cell populations affected by disease remain coarsely understood. The current study harnesses single cell and spatial genomics tools and knowledge from the BRAIN Initiative Cell Census Network to understand the impact of disease progression on middle temporal gyrus cell types. We used image-based quantitative neuropathology to place 84 donors spanning the spectrum of AD pathology along a continuous disease pseudoprogression score and multiomic technologies to profile single nuclei from each donor, mapping their transcriptomes, epigenomes, and spatial coordinates to a common cell type reference with unprecedented resolution. Temporal analysis of cell-type proportions indicated an early reduction of Somatostatin-expressing neuronal subtypes and a late decrease of supragranular intratelencephalic-projecting excitatory and Parvalbumin-expressing neurons, with increases in disease-associated microglial and astrocytic states. We found complex gene expression differences, ranging from global to cell type-specific effects. These effects showed different temporal patterns indicating diverse cellular perturbations as a function of disease progression. A subset of donors showed a particularly severe cellular and molecular phenotype, which correlated with steeper cognitive decline. We have created a freely available public resource to explore these data and to accelerate progress in AD research atSEA-AD.org.

Published
2023
Full Text
View/download PDF

4. Survey of spiking in the mouse visual system reveals functional hierarchy

Author

Luke Esposito, John W. Phillips, Lydia Ng, Maggie Chvilicek, Kara Ronellenfitch, Corbett Bennett, Kael Dai, Peter A. Groblewski, John Galbraith, Jackie Swapp, Brian Hu, Ross Hytnen, Fuhui Long, Emily Gelfand, R.D. Young, India Kato, Linzy Casal, Greggory Heller, Jennifer Luviano, Xiaoxuan Jia, Ben Sutton, Michael A. Buice, Saskia E. J. de Vries, Shiella Caldejon, Sam Seid, Tamina K. Ramirez, Thuyahn Nguyen, Wayne Wakeman, Chelsea Nayan, Philip R. Nicovich, Roald Dietzman, Nicole Hancock, Colin Farrell, Carol L. Thompson, David Feng, Erika Jessett, Hongkui Zeng, Elizabeth Liang, Shawn R. Olsen, Kristen Turner, Jérôme Lecoq, Derric Williams, Katelyn Johnson, Jose Melchior, Stefan Mihalas, Hannah Choi, Sam Gale, Jennifer D. Whitesell, Ramakrishnan Iyer, Kat North, Melissa Reding, Dillan Brown, Yang Li, Kiet Ngo, Séverine Durand, Robert Howard, Amy Bernard, Anton Arkhipov, Julie A. Harris, Ali Williford, Yazan N. Billeh, Marina Garrett, Sophie Lambert, Tyler Mollenkopf, Arielle Leon, Marius Pachitariu, Michael Oliver, Nicolas Cain, Gabriel Koch Ocker, Daniel J. Denman, Justin T. Kiggins, Joshua H. Siegle, R. Clay Reid, Douglas R. Ollerenshaw, David Reid, Cliff Slaughterbeck, David Sullivan, Jed Perkins, Ruweida Ahmed, Daniel Millman, Jung Hoon Lee, Kyla Mace, Christof Koch, Andrew Cho, Nile Graddis, Timothy C. Cox, Peter Ledochowitsch, Miranda Robertson, Michelle Stoecklin, and Sarah A. Naylor

Subjects
0301 basic medicine, Hierarchy, Retina, Multidisciplinary, Neocortex, Visual perception, genetic structures, Computer science, Direct observation, Visual task, 03 medical and health sciences, 030104 developmental biology, 0302 clinical medicine, medicine.anatomical_structure, medicine, Latency (engineering), Neuroscience, 030217 neurology & neurosurgery, Coding (social sciences)
Abstract

The anatomy of the mammalian visual system, from the retina to the neocortex, is organized hierarchically1. However, direct observation of cellular-level functional interactions across this hierarchy is lacking due to the challenge of simultaneously recording activity across numerous regions. Here we describe a large, open dataset-part of the Allen Brain Observatory2-that surveys spiking from tens of thousands of units in six cortical and two thalamic regions in the brains of mice responding to a battery of visual stimuli. Using cross-correlation analysis, we reveal that the organization of inter-area functional connectivity during visual stimulation mirrors the anatomical hierarchy from the Allen Mouse Brain Connectivity Atlas3. We find that four classical hierarchical measures-response latency, receptive-field size, phase-locking to drifting gratings and response decay timescale-are all correlated with the hierarchy. Moreover, recordings obtained during a visual task reveal that the correlation between neural activity and behavioural choice also increases along the hierarchy. Our study provides a foundation for understanding coding and signal propagation across hierarchically organized cortical and thalamic visual areas.

Published
2021
Full Text
View/download PDF

5. Survey of spiking in the mouse visual system reveals functional hierarchy

Author

Joshua H, Siegle, Xiaoxuan, Jia, Séverine, Durand, Sam, Gale, Corbett, Bennett, Nile, Graddis, Greggory, Heller, Tamina K, Ramirez, Hannah, Choi, Jennifer A, Luviano, Peter A, Groblewski, Ruweida, Ahmed, Anton, Arkhipov, Amy, Bernard, Yazan N, Billeh, Dillan, Brown, Michael A, Buice, Nicolas, Cain, Shiella, Caldejon, Linzy, Casal, Andrew, Cho, Maggie, Chvilicek, Timothy C, Cox, Kael, Dai, Daniel J, Denman, Saskia E J, de Vries, Roald, Dietzman, Luke, Esposito, Colin, Farrell, David, Feng, John, Galbraith, Marina, Garrett, Emily C, Gelfand, Nicole, Hancock, Julie A, Harris, Robert, Howard, Brian, Hu, Ross, Hytnen, Ramakrishnan, Iyer, Erika, Jessett, Katelyn, Johnson, India, Kato, Justin, Kiggins, Sophie, Lambert, Jerome, Lecoq, Peter, Ledochowitsch, Jung Hoon, Lee, Arielle, Leon, Yang, Li, Elizabeth, Liang, Fuhui, Long, Kyla, Mace, Jose, Melchior, Daniel, Millman, Tyler, Mollenkopf, Chelsea, Nayan, Lydia, Ng, Kiet, Ngo, Thuyahn, Nguyen, Philip R, Nicovich, Kat, North, Gabriel Koch, Ocker, Doug, Ollerenshaw, Michael, Oliver, Marius, Pachitariu, Jed, Perkins, Melissa, Reding, David, Reid, Miranda, Robertson, Kara, Ronellenfitch, Sam, Seid, Cliff, Slaughterbeck, Michelle, Stoecklin, David, Sullivan, Ben, Sutton, Jackie, Swapp, Carol, Thompson, Kristen, Turner, Wayne, Wakeman, Jennifer D, Whitesell, Derric, Williams, Ali, Williford, Rob, Young, Hongkui, Zeng, Sarah, Naylor, John W, Phillips, R Clay, Reid, Stefan, Mihalas, Shawn R, Olsen, and Christof, Koch

Subjects
Electrophysiology, Male, Mice, Inbred C57BL, Mice, Thalamus, Action Potentials, Animals, Datasets as Topic, Photic Stimulation, Visual Cortex
Abstract

The anatomy of the mammalian visual system, from the retina to the neocortex, is organized hierarchically

Published
2019

Catalog

Books, media, physical & digital resources
See catalog results