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Your search keyword '"Nika Hejazinia"' showing total 7 results
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7 results on '"Nika Hejazinia"'

1. Neuropathological and transcriptomic characteristics of the aged brain

Author

Jeremy A Miller, Angela Guillozet-Bongaarts, Laura E Gibbons, Nadia Postupna, Anne Renz, Allison E Beller, Susan M Sunkin, Lydia Ng, Shannon E Rose, Kimberly A Smith, Aaron Szafer, Chris Barber, Darren Bertagnolli, Kristopher Bickley, Krissy Brouner, Shiella Caldejon, Mike Chapin, Mindy L Chua, Natalie M Coleman, Eiron Cudaback, Christine Cuhaciyan, Rachel A Dalley, Nick Dee, Tsega Desta, Tim A Dolbeare, Nadezhda I Dotson, Michael Fisher, Nathalie Gaudreault, Garrett Gee, Terri L Gilbert, Jeff Goldy, Fiona Griffin, Caroline Habel, Zeb Haradon, Nika Hejazinia, Leanne L Hellstern, Steve Horvath, Kim Howard, Robert Howard, Justin Johal, Nikolas L Jorstad, Samuel R Josephsen, Chihchau L Kuan, Florence Lai, Eric Lee, Felix Lee, Tracy Lemon, Xianwu Li, Desiree A Marshall, Jose Melchor, Shubhabrata Mukherjee, Julie Nyhus, Julie Pendergraft, Lydia Potekhina, Elizabeth Y Rha, Samantha Rice, David Rosen, Abharika Sapru, Aimee Schantz, Elaine Shen, Emily Sherfield, Shu Shi, Andy J Sodt, Nivretta Thatra, Michael Tieu, Angela M Wilson, Thomas J Montine, Eric B Larson, Amy Bernard, Paul K Crane, Richard G Ellenbogen, C Dirk Keene, and Ed Lein

Subjects
Alzheimer's disease, aging, dementia, gene expression, Medicine, Science, Biology (General), QH301-705.5
Abstract

As more people live longer, age-related neurodegenerative diseases are an increasingly important societal health issue. Treatments targeting specific pathologies such as amyloid beta in Alzheimer’s disease (AD) have not led to effective treatments, and there is increasing evidence of a disconnect between traditional pathology and cognitive abilities with advancing age, indicative of individual variation in resilience to pathology. Here, we generated a comprehensive neuropathological, molecular, and transcriptomic characterization of hippocampus and two regions cortex in 107 aged donors (median = 90) from the Adult Changes in Thought (ACT) study as a freely-available resource (http://aging.brain-map.org/). We confirm established associations between AD pathology and dementia, albeit with increased, presumably aging-related variability, and identify sets of co-expressed genes correlated with pathological tau and inflammation markers. Finally, we demonstrate a relationship between dementia and RNA quality, and find common gene signatures, highlighting the importance of properly controlling for RNA quality when studying dementia.

Published
2017
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2. Local Connectivity and Synaptic Dynamics in Mouse and Human Neocortex

Author

Luke Campagnola, Stephanie C. Seeman, Thomas Chartrand, Lisa Kim, Alex Hoggarth, Clare Gamlin, Shinya Ito, Jessica Trinh, Pasha Davoudian, Cristina Radaelli, Mean-Hwan Kim, Travis Hage, Thomas Braun, Lauren Alfiler, Julia Andrade, Phillip Bohn, Rachel Dalley, Alex Henry, Sara Kebede, Mukora Alice, David Sandman, Grace Williams, Rachael Larsen, Corinne Teeter, Tanya L. Daigle, Kyla Berry, Nadia Dotson, Rachel Enstrom, Melissa Gorham, Madie Hupp, Samuel Dingman Lee, Kiet Ngo, Philip R. Nicovich, Lydia Potekhina, Shea Ransford, Amanda Gary, Jeff Goldy, Delissa McMillen, Trangthanh Pham, Michael Tieu, La’Akea Siverts, Miranda Walker, Colin Farrell, Martin Schroedter, Cliff Slaughterbeck, Charles Cobb, Richard Ellenbogen, Ryder P. Gwinn, C. Dirk Keene, Andrew L. Ko, Jeffrey G. Ojemann, Daniel L. Silbergeld, Daniel Carey, Tamara Casper, Kirsten Crichton, Michael Clark, Nick Dee, Lauren Ellingwood, Jessica Gloe, Matthew Kroll, Josef Sulc, Herman Tung, Katherine Wadhwani, Krissy Brouner, Tom Egdorf, Michelle Maxwell, Medea McGraw, Christina Alice Pom, Augustin Ruiz, Jasmine Bomben, David Feng, Nika Hejazinia, Shu Shi, Aaron Szafer, Wayne Wakeman, John Phillips, Amy Bernard, Luke Esposito, Florence D. D’Orazi, Susan Sunkin, Kimberly Smith, Bosiljka Tasic, Anton Arkhipov, Staci Sorensen, Ed Lein, Christof Koch, Gabe Murphy, Hongkui Zeng, and Tim Jarsky

Subjects
Adult, Male, Neurons, Multidisciplinary, Models, Neurological, Datasets as Topic, Excitatory Postsynaptic Potentials, Mice, Transgenic, Neocortex, Synaptic Transmission, Article, Temporal Lobe, Mice, Inhibitory Postsynaptic Potentials, Neural Pathways, Synapses, Animals, Humans, Female, Visual Cortex
Abstract

We present a unique, extensive, and open synaptic physiology analysis platform and dataset. Through its application, we reveal principles that relate cell type to synaptic properties and intralaminar circuit organization in the mouse and human cortex. The dynamics of excitatory synapses align with the postsynaptic cell subclass, whereas inhibitory synapse dynamics partly align with presynaptic cell subclass but with considerable overlap. Synaptic properties are heterogeneous in most subclass-to-subclass connections. The two main axes of heterogeneity are strength and variability. Cell subclasses divide along the variability axis, whereas the strength axis accounts for substantial heterogeneity within the subclass. In the human cortex, excitatory-to-excitatory synaptic dynamics are distinct from those in the mouse cortex and vary with depth across layers 2 and 3.

Published
2022

3. Local Connectivity and Synaptic Dynamics in Mouse and Human Neocortex

Author

Michael Tieu, Amy Bernard, Lisa Kim, Samuel Dingman Lee, Tim Jarsky, Corinne Teeter, Martin Schroedter, Alex Hoggarth, Kimberly A. Smith, Amanda Gary, Charles Cobb, John W. Phillips, Christina A. Pom, Herman Tung, Hongkui Zeng, Daniel Carey, Phillip Bohn, Colin Farrell, Bosiljka Tasic, Rusty Nicovich, Medea McGraw, Krissy Brouner, Andrew L. Ko, Katherine Wadhwani, Lauren Ellingwood, Tom Egdorf, Anton Arkhipov, Aaron Szafer, Michael Clark, Kirsten Crichton, Kyla Berry, Josef Sulc, Nick Dee, Gabe J. Murphy, Luke Esposito, Trangthanh Pham, Thomas Chartrand, Alex M. Henry, Rachel A. Dalley, Rachel Enstrom, Thomas Braun, Luke Campagnola, Cristina Radaelli, C. Dirk Keene, Tanya L. Daigle, Cliff Slaughterbeck, Sara Kebede, Rachael Larsen, Jeffrey G. Ojemann, Juia Andrade, Michelle Maxwell, Staci A. Sorensen, Jeff Goldy, Jessica Gloe, David Sandman, Shinya Ito, Susan M. Sunkin, Wayne Wakeman, Travis A. Hage, Melissa Gorham, Ryder P. Gwinn, Pasha A. Davoudian, Augustin Ruiz, Grace Williams, Clare Gamlin, Christof Koch, La'Akea Siverts, Stephanie C. Seeman, Jasmine Bomben, Florence D’Orazi, Madie Hupp, Ed S. Lein, Nadia Dotson, Shea Ransford, Nika Hejazinia, Mean Hwan Kim, Delissa McMillen, David Feng, Jessica Trinh, Lydia Potekhina, Alice Mukora, Lauren Alfiler, Tamara Casper, Shu Shi, Matthew Kroll, Kiet Ngo, Richard G. Ellenbogen, Daniel L. Silbergeld, and Miranda Walker

Subjects
Synapse, Cell type, Neocortex, medicine.anatomical_structure, Excitatory synapse, Cortex (anatomy), medicine, Excitatory postsynaptic potential, Biology, Inhibitory postsynaptic potential, Neuroscience, Subclass
Abstract

To elucidate cortical microcircuit structure and synaptic properties we present a unique, extensive, and public synaptic physiology dataset and analysis platform. Through its application, we reveal principles that relate cell type to synapse properties and intralaminar circuit organization in the mouse and human cortex. The dynamics of excitatory synapses align with the postsynaptic cell subclass, whereas inhibitory synapse dynamics partly align with presynaptic cell subclass but with considerable overlap. Despite these associations, synaptic properties are heterogeneous in most subclass to subclass connections. The two main axes of heterogeneity are strength and variability. Cell subclasses divide along the variability axis, while the strength axis accounts for significant heterogeneity within the subclass. In human cortex, excitatory to excitatory synapse dynamics are distinct from those in mouse and short-term plasticity varies with depth across layers 2 and 3. With a novel connectivity analysis that enables fair comparisons between circuit elements, we find that intralaminar connection probability among cell subclasses exhibits a strong layer dependence.These and other findings combined with the analysis platform create new opportunities for the neuroscience community to advance our understanding of cortical microcircuits.

Published
2021

4. Neuropathological and transcriptomic characteristics of the aged brain

Author

Terri L. Gilbert, Thomas J. Montine, Aaron Szafer, Eiron Cudaback, Nick Dee, Christine Cuhaciyan, Xianwu Li, Kimberly A. Smith, Samuel R Josephsen, Tim A. Dolbeare, Paul K. Crane, Amy Bernard, Nadezhda Dotson, Michael Tieu, Fiona Griffin, Shannon E. Rose, Ed S. Lein, Jeff Goldy, Laura E. Gibbons, Julie Pendergraft, Felix Lee, Nivretta Thatra, Elaine Shen, Elizabeth Rha, Susan M. Sunkin, Garrett Gee, Lydia Potekhina, Nadia Postupna, Darren Bertagnolli, Andy J. Sodt, Nikolas L. Jorstad, Angela L. Guillozet-Bongaarts, Samantha Rice, Jeremy A. Miller, Natalie M Coleman, Zeb Haradon, Tsega Desta, David Rosen, Angela M. Wilson, Justin Johal, Shubhabrata Mukherjee, Kristopher Bickley, Anne Renz, Abharika Sapru, Robert Howard, Desiree A. Marshall, Tracy Lemon, Nika Hejazinia, Rachel A. Dalley, Shu Shi, Steve Horvath, Mindy L Chua, Aimee Schantz, Eric B. Larson, Allison Beller, Michael S. Fisher, Julie Nyhus, C. Dirk Keene, Lydia Ng, Kim Howard, Caroline Habel, Nathalie Gaudreault, Krissy Brouner, Leanne L Hellstern, Shiella Caldejon, Jose Melchor, Emily Sherfield, Chihchau L. Kuan, Mike Chapin, Richard G. Ellenbogen, Chris Barber, Florence Lai, and Eric Lee

Subjects
0301 basic medicine, Male, Amyloid beta, QH301-705.5, Science, Hippocampus, Disease, General Biochemistry, Genetics and Molecular Biology, Transcriptome, 03 medical and health sciences, 0302 clinical medicine, Alzheimer Disease, medicine, Dementia, Humans, Biology (General), Gene, Pathological, Aged, Aged, 80 and over, Cerebral Cortex, General Immunology and Microbiology, biology, business.industry, General Neuroscience, Gene Expression Profiling, aging, Cognition, General Medicine, Alzheimer's disease, medicine.disease, 3. Good health, Tools and Resources, 030104 developmental biology, biology.protein, gene expression, Medicine, Female, business, Neuroscience, 030217 neurology & neurosurgery, Human, dementia
Abstract

As more people live longer, age-related neurodegenerative diseases are an increasingly important societal health issue. Treatments targeting specific pathologies such as amyloid beta in Alzheimer’s disease (AD) have not led to effective treatments, and there is increasing evidence of a disconnect between traditional pathology and cognitive abilities with advancing age, indicative of individual variation in resilience to pathology. Here, we generated a comprehensive neuropathological, molecular, and transcriptomic characterization of hippocampus and two regions cortex in 107 aged donors (median = 90) from the Adult Changes in Thought (ACT) study as a freely-available resource (http://aging.brain-map.org/). We confirm established associations between AD pathology and dementia, albeit with increased, presumably aging-related variability, and identify sets of co-expressed genes correlated with pathological tau and inflammation markers. Finally, we demonstrate a relationship between dementia and RNA quality, and find common gene signatures, highlighting the importance of properly controlling for RNA quality when studying dementia.

Published
2017

5. Author response: Neuropathological and transcriptomic characteristics of the aged brain

Author

Lydia Ng, Shubhabrata Mukherjee, Amy Bernard, Mindy L Chua, Jeff Goldy, Fiona Griffin, Darren Bertagnolli, Shu Shi, Ed S. Lein, Susan M. Sunkin, Nika Hejazinia, Justin Johal, Krissy Brouner, Jeremy A. Miller, Steve Horvath, Zeb Haradon, Natalie M Coleman, Jose Melchor, Desiree A. Marshall, Samuel R Josephsen, Paul K. Crane, Kristopher Bickley, Tim A. Dolbeare, Kim Howard, Michael S. Fisher, C. Dirk Keene, Angela M. Wilson, Tracy Lemon, Aaron Szafer, Eiron Cudaback, Nick Dee, Eric B. Larson, Elizabeth Rha, Chris Barber, Julie Nyhus, Michael Tieu, Lydia Potekhina, Caroline Habel, Nathalie Gaudreault, Kimberly A. Smith, Shannon E. Rose, Nikolas L. Jorstad, Angela L. Guillozet-Bongaarts, Terri L. Gilbert, Felix Lee, Nivretta Thatra, Florence Lai, Julie Pendergraft, Elaine Shen, Eric Lee, Christine Cuhaciyan, Chihchau L. Kuan, Mike Chapin, Richard G. Ellenbogen, Andy J. Sodt, Leanne L Hellstern, Shiella Caldejon, Nadia Postupna, David Rosen, Emily Sherfield, Tsega Desta, Anne Renz, Xianwu Li, Abharika Sapru, Robert Howard, Rachel A. Dalley, Aimee Schantz, Allison Beller, Samantha Rice, Nadezhda Dotson, Laura E. Gibbons, Garrett Gee, and Thomas J. Montine

Subjects
0301 basic medicine, Transcriptome, 03 medical and health sciences, 030104 developmental biology, business.industry, Medicine, business, Neuroscience
Published
2017

6. A comprehensive transcriptional map of primate brain development

Author

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

Subjects
0301 basic medicine, Male, Microcephaly, Aging, Transcription, Genetic, Autism Spectrum Disorder, Neocortex, Molecular neuroscience, Transcriptome, 0302 clinical medicine, Risk Factors, 2.1 Biological and endogenous factors, Primate, Conserved Sequence, Pediatric, Multidisciplinary, biology, Neurogenesis, Brain, Mental Health, medicine.anatomical_structure, Autism spectrum disorder, Neurological, Stem Cell Research - Nonembryonic - Non-Human, Female, Transcription, Biotechnology, General Science & Technology, Intellectual and Developmental Disabilities (IDD), 1.1 Normal biological development and functioning, Article, 03 medical and health sciences, Spatio-Temporal Analysis, Species Specificity, Genetic, biology.animal, Intellectual Disability, Genetics, medicine, Cell Adhesion, Animals, Humans, Cell projection, Human Genome, Neurosciences, Stem Cell Research, medicine.disease, Macaca mulatta, Brain Disorders, 030104 developmental biology, Neurodevelopmental Disorders, Schizophrenia, Neuroscience, 030217 neurology & neurosurgery
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

7. An anatomic transcriptional atlas of human glioblastoma

Author

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

Subjects
0301 basic medicine, Poor prognosis, Multidisciplinary, Extramural, Brain Neoplasms, Gene Expression Profiling, Brain tumor, Computational biology, Biology, medicine.disease, Prognosis, Genomic databases, Data resources, Article, nervous system diseases, Gene expression profiling, 03 medical and health sciences, 030104 developmental biology, Atlases as Topic, Databases, Genetic, medicine, Humans, Glioblastoma, neoplasms
Abstract

Anatomically correct tumor genomics Glioblastoma is the most lethal form of human brain cancer. The genomic alterations and gene expression profiles characterizing this tumor type have been widely studied. Puchalski et al. created the Ivy Glioblastoma Atlas, a freely available online resource for the research community. The atlas, a collaborative effort between bioinformaticians and pathologists, maps molecular features of glioblastomas, such as transcriptional signatures, to histologically defined anatomical regions of the tumors. The relationships identified in this atlas, in conjunction with associated databases of clinical and genomic information, could provide new insights into the pathogenesis, diagnosis, and treatment of glioblastoma. Science , this issue p. 660

Published
2016

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