Kirsten Crichton

ORCID: 0000-0002-7869-1492
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About
Contact & Profiles
Research Areas
  • Single-cell and spatial transcriptomics
  • Neuroinflammation and Neurodegeneration Mechanisms
  • Neural dynamics and brain function
  • Neuroscience and Neuropharmacology Research
  • Cell Image Analysis Techniques
  • RNA Research and Splicing
  • Neurogenesis and neuroplasticity mechanisms
  • Gene Regulatory Network Analysis
  • Immune cells in cancer
  • Neuroscience and Neural Engineering
  • Genetic Neurodegenerative Diseases
  • Advanced Fluorescence Microscopy Techniques
  • Receptor Mechanisms and Signaling
  • Mitochondrial Function and Pathology
  • Zebrafish Biomedical Research Applications
  • Bioinformatics and Genomic Networks

Allen Institute
2019-2023

Allen Institute for Brain Science
2019-2023

Seattle University
2022

Trygve E. Bakken Nikolas L. Jorstad Qiwen Hu Blue B. Lake Wei Tian and 95 more Brian Kalmbach Megan Crow Rebecca D. Hodge Fenna M. Krienen Staci A. Sorensen Jeroen Eggermont Zizhen Yao Brian D. Aevermann Andrew Aldridge Anna Bartlett Darren Bertagnolli Tamara Casper Rosa Castanon Kirsten Crichton Tanya L. Daigle Rachel Dalley Nick Dee Nikolai Dembrow Dinh Diep Song‐Lin Ding Weixiu Dong Rongxin Fang Stephan Fischer Melissa Goldman Jeff Goldy Lucas T. Graybuck Brian R. Herb Xiaomeng Hou Jayaram Kancherla Matthew Kroll Kanan Lathia Baldur van Lew Yang Eric Li Christine S. Liu Hanqing Liu Jacinta Lucero Anup Mahurkar Delissa McMillen Jeremy A. Miller Marmar Moussa Joseph R. Nery Philip R. Nicovich Sheng-Yong Niu Joshua Orvis Julia Osteen Scott F. Owen Carter R. Palmer Thanh Pham Nongluk Plongthongkum Olivier Poirion Nora Reed Christine Rimorin Angeline Rivkin William J. Romanow Adriana E. Sedeño-Cortés Kimberly Siletti Saroja Somasundaram Josef Šulc Michael Tieu Amy Torkelson Herman Tung Xinxin Wang Fangming Xie Anna Marie Yanny Yun Zhang Seth A. Ament M. Margarita Behrens Héctor Corrada Bravo Jerold Chun Alexander Dobin Jesse Gillis Ronna Hertzano Patrick R. Hof Thomas Höllt Gregory D. Horwitz C. Dirk Keene Peter V. Kharchenko Andrew L. Ko Boudewijn P. F. Lelieveldt Chongyuan Luo Eran A. Mukamel António Pinto‐Duarte Sebastian Preißl Aviv Regev Bing Ren Richard H. Scheuermann Kimberly A. Smith William J. Spain Owen White Christof Koch Michael Hawrylycz Bosiljka Tasic Evan Z. Macosko Steven A. McCarroll Jonathan T. Ting

Abstract The primary motor cortex (M1) is essential for voluntary fine-motor control and functionally conserved across mammals 1 . Here, using high-throughput transcriptomic epigenomic profiling of more than 450,000 single nuclei in humans, marmoset monkeys mice, we demonstrate a broadly cellular makeup this region, with similarities that mirror evolutionary distance are consistent between the transcriptome epigenome. core molecular identities neuronal non-neuronal cell types allow us to...

10.1038/s41586-021-03465-8 article EN cc-by Nature 2021-10-06
Edward M. Callaway Hong‐Wei Dong Joseph R. Ecker Michael Hawrylycz Z. Josh Huang and 95 more Ed S. Lein John Ngai Pavel Osten Bing Ren Andreas S. Tolias Owen White Hongkui Zeng Xiaowei Zhuang Giorgio A. Ascoli M. Margarita Behrens Jerold Chun Guoping Feng James C. Gee Satrajit Ghosh Yaroslav O. Halchenko Ronna Hertzano Byung Kook Lim Maryann E. Martone Lydia Ng Lior Pachter Alexander J. Ropelewski Timothy L. Tickle X. William Yang Kun Zhang Trygve E. Bakken Philipp Berens Tanya L. Daigle Julie A. Harris Nikolas L. Jorstad Brian Kalmbach Dmitry Kobak Yang Eric Li Hanqing Liu Katherine S. Matho Eran A. Mukamel Maitham Naeemi Federico Scala Pengcheng Tan Jonathan T. Ting Fangming Xie Meng Zhang Zhuzhu Zhang Jingtian Zhou Brian Zingg Ethan J. Armand Zizhen Yao Darren Bertagnolli Tamara Casper Kirsten Crichton Nick Dee Dinh Diep Song‐Lin Ding Weixiu Dong Elizabeth L. Dougherty Olivia Fong Melissa Goldman Jeff Goldy Rebecca D. Hodge Lijuan Hu C. Dirk Keene Fenna M. Krienen Matthew Kroll Blue B. Lake Kanan Lathia Sten Linnarsson Christine S. Liu Evan Z. Macosko Steven A. McCarroll Delissa McMillen Naeem Nadaf Thuc Nghi Nguyen Carter R. Palmer Thanh Pham Nongluk Plongthongkum Nora Reed Aviv Regev Christine Rimorin William J. Romanow Stephen Savoia Kimberly Siletti Kimberly A. Smith Josef Šulc Bosiljka Tasic Michael Tieu Amy Torkelson Herman Tung Cindy T. J. van Velthoven Charles Vanderburg Anna Marie Yanny Rongxin Fang Xiaomeng Hou Jacinta Lucero Julia Osteen António Pinto‐Duarte Olivier Poirion

Here we report the generation of a multimodal cell census and atlas mammalian primary motor cortex as initial product BRAIN Initiative Cell Census Network (BICCN). This was achieved by coordinated large-scale analyses single-cell transcriptomes, chromatin accessibility, DNA methylomes, spatially resolved morphological electrophysiological properties cellular resolution input-output mapping, integrated through cross-modal computational analysis. Our results advance collective knowledge...

10.1038/s41586-021-03950-0 article EN cc-by Nature 2021-10-06

10.1016/j.cell.2020.09.057 article EN publisher-specific-oa Cell 2020-11-01

10.1038/s41593-019-0417-0 article EN Nature Neuroscience 2019-06-17

The mammalian brain consists of millions to billions cells that are organized into many cell types with specific spatial distribution patterns and structural functional properties1-3. Here we report a comprehensive high-resolution transcriptomic cell-type atlas for the whole adult mouse brain. was created by combining single-cell RNA-sequencing (scRNA-seq) dataset around 7 million profiled (approximately 4.0 passing quality control), approximately 4.3 using multiplexed error-robust...

10.1038/s41586-023-06812-z article EN cc-by Nature 2023-12-13

We present a unique, extensive, and open synaptic physiology analysis platform dataset. Through its application, we reveal principles that relate cell type to properties intralaminar circuit organization in the mouse human cortex. The dynamics of excitatory synapses align with postsynaptic subclass, whereas inhibitory synapse partly presynaptic subclass but considerable overlap. Synaptic are heterogeneous most subclass-to-subclass connections. two main axes heterogeneity strength...

10.1126/science.abj5861 article EN Science 2022-03-10

Abstract Single-cell transcriptomics can provide quantitative molecular signatures for large, unbiased samples of the diverse cell types in brain 1–3 . With proliferation multi-omics datasets, a major challenge is to validate and integrate results into biological understanding cell-type organization. Here we generated transcriptomes epigenomes from more than 500,000 individual cells mouse primary motor cortex, structure that has an evolutionarily conserved role locomotion. We developed...

10.1038/s41586-021-03500-8 article EN cc-by Nature 2021-10-06

Abstract The neocortex is disproportionately expanded in human compared with mouse 1,2 , both its total volume relative to subcortical structures and the proportion occupied by supragranular layers composed of neurons that selectively make connections within other telencephalic structures. Single-cell transcriptomic analyses show an increased diversity glutamatergic neuron types pronounced gradients as a function cortical depth 3 . Here, probe functional anatomical correlates this diversity,...

10.1038/s41586-021-03813-8 article EN cc-by Nature 2021-10-06

Variation in cytoarchitecture is the basis for histological definition of cortical areas. We used single cell transcriptomics and performed cellular characterization human cortex to better understand areal specialization. Single-nucleus RNA-sequencing 8 areas spanning structural variation showed a highly consistent makeup 24 subclasses. However, proportions excitatory neuron subclasses varied substantially, likely reflecting differences connectivity across primary sensorimotor association...

10.1126/science.adf6812 article EN Science 2023-10-12

The mammalian brain is composed of millions to billions cells that are organized into numerous cell types with specific spatial distribution patterns and structural functional properties. An essential step towards understanding function obtain a parts list, i.e., catalog types, the brain. Here, we report comprehensive high-resolution transcriptomic type atlas for whole adult mouse was created based on combination two single-cell-level, whole-brain-scale datasets: single-cell RNA-sequencing...

10.1101/2023.03.06.531121 preprint EN cc-by-nc bioRxiv (Cold Spring Harbor Laboratory) 2023-03-06
Trygve E. Bakken Nikolas L. Jorstad Qiwen Hu Blue B. Lake Wei Tian and 95 more Brian Kalmbach Megan Crow Rebecca D. Hodge Fenna M. Krienen Staci A. Sorensen Jeroen Eggermont Zizhen Yao Brian D. Aevermann Andrew Aldridge Anna Bartlett Darren Bertagnolli Tamara Casper Rosa Castanon Kirsten Crichton Tanya L. Daigle Rachel Dalley Nick Dee Nikolai Dembrow Dinh Diep Song‐Lin Ding Weixiu Dong Rongxin Fang Stephan Fischer Melissa Goldman Jeff Goldy Lucas T. Graybuck Brian R. Herb Xiaomeng Hou Jayaram Kancherla Matthew Kroll Kanan Lathia Baldur van Lew Yang Eric Li Christine S. Liu Hanqing Liu Jacinta Lucero Anup Mahurkar Delissa McMillen Jeremy A. Miller Marmar Moussa Joseph R. Nery Philip R. Nicovich Joshua Orvis Julia Osteen Scott F. Owen Carter R. Palmer Thanh Pham Nongluk Plongthongkum Olivier Poirion Nora Reed Christine Rimorin Angeline Rivkin William J. Romanow Adriana E. Sedeño-Cortés Kimberly Siletti Saroja Somasundaram Josef Šulc Michael Tieu Amy Torkelson Herman Tung Xinxin Wang Fangming Xie Anna Marie Yanny Yun Zhang Seth A. Ament M. Margarita Behrens Héctor Corrada Bravo Jerold Chun Alexander Dobin Jesse Gillis Ronna Hertzano Patrick R. Hof Thomas Höllt Gregory D. Horwitz C. Dirk Keene Peter V. Kharchenko Andrew L. Ko Boudewijn P. F. Lelieveldt Chongyuan Luo Eran A. Mukamel Sebastian Preißl Aviv Regev Bing Ren Richard H. Scheuermann Kimberly A. Smith William J. Spain Owen White Christof Koch Michael Hawrylycz Bosiljka Tasic Evan Z. Macosko Steven A. McCarroll Jonathan T. Ting Hongkui Zeng Kun Zhang

Abstract The primary motor cortex (M1) is essential for voluntary fine control and functionally conserved across mammals. Using high-throughput transcriptomic epigenomic profiling of over 450,000 single nuclei in human, marmoset monkey, mouse, we demonstrate a broadly cellular makeup this region, whose similarity mirrors evolutionary distance consistent between the transcriptome epigenome. core molecular identity neuronal non-neuronal types allowed generation cross-species consensus cell...

10.1101/2020.03.31.016972 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2020-04-01

Abstract Single cell transcriptomics has transformed the characterization of brain identity by providing quantitative molecular signatures for large, unbiased samples populations. With proliferation taxonomies based on individual datasets, a major challenge is to integrate and validate results toward defining biologically meaningful types. We used battery single-cell transcriptome epigenome measurements generated BRAIN Initiative Cell Census Network (BICCN) comprehensively assess types in...

10.1101/2020.02.29.970558 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2020-03-02

SUMMARY The isocortex and hippocampal formation are two major structures in the mammalian brain that play critical roles perception, cognition, emotion learning. Both contain multiple regions, for many of which cellular composition is still poorly understood. In this study, we used complementary single-cell RNA-sequencing approaches, SMART-Seq 10x, to profile ∼1.2 million cells covering all regions adult mouse formation, derived a cell type taxonomy comprising 379 transcriptomic types....

10.1101/2020.03.30.015214 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2020-03-31

Abstract Neurons are frequently classified into distinct groups or cell types on the basis of structural, physiological, genetic attributes. To better constrain definition neuronal types, we characterized transcriptomes and intrinsic physiological properties over 3,700 GABAergic mouse visual cortical neurons reconstructed local morphologies 350 those neurons. We found that most transcriptomic (t-types) occupy specific laminar positions within cortex, many t-types exhibit consistent...

10.1101/2020.02.03.932244 preprint EN cc-by-nd bioRxiv (Cold Spring Harbor Laboratory) 2020-02-04

The neocortex is disproportionately expanded in human compared to mouse, both its total volume relative subcortical structures and the proportion occupied by supragranular layers that selectively make connections within cortex other telencephalic structures. Single-cell transcriptomic analyses of mouse show an increased diversity glutamatergic neuron types pronounced gradients as a function cortical depth. To probe functional anatomical correlates this diversity, we describe robust Patch-seq...

10.1101/2020.03.31.018820 preprint EN cc-by-nd bioRxiv (Cold Spring Harbor Laboratory) 2020-04-02

The isocortex and hippocampal formation are two major structures in the mammalian brain that play critical roles perception, cognition, emotion learning. Using single-cell RNA-sequencing approaches, we profiled ~1.2 million cells covering all regions adult mouse formation. cell types organized hierarchically exhibit varying degrees of discrete or continuous variations. Such molecular relationships correlate strongly with spatial distribution patterns types, which can be region-specific,...

10.2139/ssrn.3575167 article EN SSRN Electronic Journal 2020-01-01
Ricky S. Adkins Andrew Aldridge Shona W. Allen Seth A. Ament Xu An and 95 more Ethan J. Armand Giorgio A. Ascoli Trygve E. Bakken Anita Bandrowski Samik Banerjee Nikolaos Barkas Anna Bartlett Helen S. Bateup M. Margarita Behrens Philipp Berens Jim Berg Matteo Bernabucci Yves Bernaerts Darren Bertagnolli Tommaso Biancalani Lara Boggeman A. Sina Booeshaghi Ian Bowman Héctor Corrada Bravo Cathryn R. Cadwell Edward M. Callaway Benjamin Carlin Carolyn O’Connor Robert Carter Tamara Casper Rosa Castanon Jesus Ramon Castro Rebecca K. Chance Apaala Chatterjee Huaming Chen Jerold Chun Carlo Colantuoni Jonathan Crabtree Heather H. Creasy Kirsten Crichton Megan Crow Florence D. D’Orazi Tanya L. Daigle Rachel Dalley Nick Dee Kylee Degatano Ben Dichter Dinh Diep Liya Ding Song‐Lin Ding Bertha Dominguez Hong‐Wei Dong Weixiu Dong Elizabeth L. Dougherty Sandrine Dudoit Joseph R. Ecker Stephen W. Eichhorn Rongxin Fang Victor Felix Guoping Feng Zhao Feng Stephan Fischer Conor Fitzpatrick Olivia Fong Nicholas N. Foster William Galbavy James C. Gee Satrajit Ghosh Michelle Giglio Tom Gillespie Jesse Gillis Melissa Goldman Jeff Goldy Hui Gong Lin Gou Michael Grauer Yaroslav O. Halchenko Julie A. Harris Leonard Hartmanis Joshua Hatfield Mike Hawrylycz Brian Helba Brian R. Herb Ronna Hertzano Houri Hintiryan Karla E. Hirokawa Dirk Hockemeyer Rebecca D. Hodge Greg Hood Gregory D. Horwitz Xiaomeng Hou Lijuan Hu Qiwen Hu Z. Josh Huang Bing‐Xing Huo Tony Ito-Cole Matthew W. Jacobs Xueyan Jia Shengdian Jiang Tao Jiang

ABSTRACT We report the generation of a multimodal cell census and atlas mammalian primary motor cortex (MOp or M1) as initial product BRAIN Initiative Cell Census Network (BICCN). This was achieved by coordinated large-scale analyses single-cell transcriptomes, chromatin accessibility, DNA methylomes, spatially resolved morphological electrophysiological properties, cellular resolution input-output mapping, integrated through cross-modal computational analysis. Together, our results advance...

10.1101/2020.10.19.343129 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2020-10-21

ABSTRACT Understanding the diversity of cell types in brain has been an enduring challenge and requires detailed characterization individual neurons multiple dimensions. To profile morpho-electric properties mammalian systematically, we established a single pipeline using standardized patch clamp recordings slices biocytin-based neuronal reconstructions. We built publicly-accessible online database, Allen Cell Types Database, to display these data sets. Intrinsic physiological morphological...

10.1101/368456 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2018-07-17

Abstract To elucidate cortical microcircuit structure and synaptic properties we present a unique, extensive, public physiology dataset analysis platform. Through its application, reveal principles that relate cell type to synapse intralaminar circuit organization in the mouse human cortex. The dynamics of excitatory synapses align with postsynaptic subclass, whereas inhibitory partly presynaptic subclass but considerable overlap. Despite these associations, are heterogeneous most...

10.1101/2021.03.31.437553 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2021-04-01

Abstract Variation in cortical cytoarchitecture is the basis for histology-based definition of areas, such as Brodmann areas. Single cell transcriptomics enables higher-resolution characterization types human cortex, which we used to revisit idea canonical microcircuit and understand functional areal specialization. Deeply sampled single nucleus RNA-sequencing eight areas spanning structural variation showed highly consistent cellular makeup 24 coarse subclasses. However, proportions...

10.1101/2022.11.06.515349 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2022-11-06

Neurons are frequently classified into distinct groups or cell types on the basis of structural, physiological, genetic attributes. To better constrain definition neuronal types, we characterized transcriptomes and intrinsic physiological properties over 3,700 GABAergic mouse visual cortical neurons reconstructed local morphologies 350 those neurons. We found that most transcriptomic (t-types) occupy specific laminar positions within cortex, many t-types exhibit consistent...

10.2139/ssrn.3544405 article EN SSRN Electronic Journal 2020-01-01
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