Brian D. Aevermann

ORCID: 0000-0003-1346-1327
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About
Contact & Profiles
Research Areas
  • Single-cell and spatial transcriptomics
  • Neuroinflammation and Neurodegeneration Mechanisms
  • Cell Image Analysis Techniques
  • Bioinformatics and Genomic Networks
  • RNA Research and Splicing
  • Extracellular vesicles in disease
  • Cancer-related molecular mechanisms research
  • vaccines and immunoinformatics approaches
  • Gene expression and cancer classification
  • Biomedical Text Mining and Ontologies
  • Immunotherapy and Immune Responses
  • Influenza Virus Research Studies
  • Cancer Genomics and Diagnostics
  • Neuroscience and Neuropharmacology Research
  • Heat shock proteins research
  • Hepatitis B Virus Studies
  • Neural dynamics and brain function
  • Dermatological and COVID-19 studies
  • Neurogenesis and neuroplasticity mechanisms
  • SARS-CoV-2 and COVID-19 Research
  • Immune Response and Inflammation
  • Respiratory viral infections research
  • Salivary Gland Disorders and Functions
  • Molecular Biology Techniques and Applications
  • MicroRNA in disease regulation

Chan Zuckerberg Initiative (United States)
2022-2024

J. Craig Venter Institute
2014-2023

San Diego State University
2008

Oregon Health & Science University
2007

Ni Huang Paola Pérez Takafumi Kato Yu Mikami Kenichi Okuda and 90 more Rodney C. Gilmore Cecilia Domínguez Conde Billel Gasmi Sydney Stein Margaret Beach Eileen Pelayo José O. Maldonado Bernard A. P. Lafont Shyh-Ing Jang Nadia Nasir Ricardo J. Padilla Valerie A. Murrah Robert Maile William Lovell Shannon M. Wallet Natalie M. Bowman Suzanne L. Meinig Matthew C. Wolfgang Saibyasachi N. Choudhury Mark Novotny Brian D. Aevermann Richard H. Scheuermann Gabrielle Cannon Carlton W. Anderson Rhianna E. Lee Julie T. Marchesan Mandy Bush Marcelo Freire Adam J. Kimple Daniel Herr Joseph Rabin Alison Grazioli Sanchita Das Benjamin French Thomas Pranzatelli John A. Chiorini David E. Kleiner Stefania Pittaluga Stephen M. Hewitt Peter D. Burbelo Daniel S. Chertow David E. Kleiner Michelly Sampaio De Melo Esra Dikoglu Sabina Desar Kris Ylaya Joon‐Yong Chung Grace Smith Daniel S. Chertow Kevin M. Vannella Marcos J. Ramos-Benítez Sabrina Ramelli Shelly Samet Ashley L. Babyak Luis Perez Valencia Mary Richert Nicole Hays Madeleine Purcell Shreya Singireddy Jocelyn Wu Joon‐Yong Chung Amy Borth Kimberly Bowers Anne Weichold Douglas Tran Ronson J. Madathil Eric Krause Daniel Herr Joseph Rabin Joseph A. Herrold Ali Tabatabai Eric Hochberg Christopher R. Cornachione Andrea R. Levine Michael T. McCurdy Kapil Saharia Zack Chancer Michael Mazzeffi Justin E. Richards James W. Eagan Yashvir Sangwan Inês Sequeira Sarah A. Teichmann Adam J. Kimple Karen M. Frank Janice S. Lee Richard C. Boucher Sarah A. Teichmann Blake M. Warner Kevin M. Byrd

Despite signs of infection—including taste loss, dry mouth and mucosal lesions such as ulcerations, enanthema macules—the involvement the oral cavity in coronavirus disease 2019 (COVID-19) is poorly understood. To address this, we generated analyzed two single-cell RNA sequencing datasets human minor salivary glands gingiva (9 samples, 13,824 cells), identifying 50 cell clusters. Using integrated normalization annotation, classified 34 unique subpopulations between gingiva. Severe acute...

10.1038/s41591-021-01296-8 article EN other-oa Nature Medicine 2021-03-25
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 R. 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

Transcriptomic profiling of complex tissues by single-nucleus RNA-sequencing (snRNA-seq) affords some advantages over single-cell (scRNA-seq). snRNA-seq provides less biased cellular coverage, does not appear to suffer cell isolation-based transcriptional artifacts, and can be applied archived frozen specimens. We used well-matched scRNA-seq datasets from mouse visual cortex compare type detection. Although more transcripts are detected in individual whole cells (~11,000 genes) than nuclei...

10.1371/journal.pone.0209648 article EN cc-by PLoS ONE 2018-12-26

The Influenza Research Database (IRD) is a U.S. National Institute of Allergy and Infectious Diseases (NIAID)-sponsored Bioinformatics Resource Center dedicated to providing bioinformatics support for influenza virus research. IRD facilitates the research development vaccines, diagnostics therapeutics against by comprehensive collection influenza-related data integrated from various sources, growing suite analysis visualization tools mining hypothesis generation, personal workbench spaces...

10.1093/nar/gkw857 article EN cc-by Nucleic Acids Research 2016-09-26

Abstract Hundreds of millions single cells have been analyzed to date using high throughput transcriptomic methods, thanks technological advances driving the increasingly rapid generation single-cell data. This provides an exciting opportunity for unlocking new insights into health and disease, made possible by meta-analysis that span diverse datasets building on recent in large language models other machine learning approaches. Despite promise these emerging analytical tools analyzing...

10.1101/2023.10.30.563174 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2023-11-02

Hundreds of millions single cells have been analyzed using high-throughput transcriptomic methods. The cumulative knowledge within these datasets provides an exciting opportunity for unlocking insights into health and disease at the level cells. Meta-analyses that span diverse building on recent advances in large language models other machine-learning approaches pose new directions to model extract insight from single-cell data. Despite promise emerging analytical tools analyzing amounts...

10.1093/nar/gkae1142 article EN cc-by Nucleic Acids Research 2024-11-28

The small heat shock proteins (sHSPs) are a diverse family of molecular chaperones. It is well established that these crucial components the plant response. They also have important roles in other stress responses and normal development. We conducted comparative sequence analysis sHSPs three complete angiosperms genomes: Arabidopsis thaliana, Populus trichocarpa, Oryza sativa. Our phylogenetic has identified four additional sHSP subfamilies thus increased number from 7 to 11. novel genes...

10.1007/s12192-008-0023-7 article EN cc-by-nc-nd Cell Stress and Chaperones 2008-04-24
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 R. 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 von Economo neurons (VENs) are bipolar, spindle-shaped restricted to layer 5 of human frontoinsula and anterior cingulate cortex that appear be selectively vulnerable neuropsychiatric neurodegenerative diseases, although little is known about other VEN cellular phenotypes. Single nucleus RNA-sequencing identifies a transcriptomically-defined cell cluster contained VENs, but also fork cells subset pyramidal neurons. Cross-species alignment this with well-annotated mouse...

10.1038/s41467-020-14952-3 article EN cc-by Nature Communications 2020-03-03

Single-cell genomics is rapidly advancing our knowledge of the diversity cell phenotypes, including both types and states. Driven by single-cell/-nucleus RNA sequencing (scRNA-seq), comprehensive atlas projects characterizing a wide range organisms tissues are currently underway. As result, it critical that transcriptional phenotypes discovered defined disseminated in consistent concise manner. Molecular biomarkers have historically played an important role biological research, from defining...

10.1101/gr.275569.121 article EN cc-by-nc Genome Research 2021-06-04
Michael Hawrylycz Maryann E. Martone Giorgio A. Ascoli Jan G. Bjaalie Hong‐Wei Dong and 95 more Satrajit Ghosh Jesse Gillis Ronna Hertzano David R. Haynor Patrick R. Hof Yongsoo Kim Ed S. Lein Yufeng Liu Jeremy A. Miller Partha P. Mitra Eran A. 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 L. Tickle Hagen Tilgner Merina Varghese Brock A. Wester Owen White Hongkui Zeng Brian D. Aevermann David Allemang Seth A. Ament Thomas L. Athey C L Baker Katherine Baker Pamela Baker Anita Bandrowski Samik Banerjee Prajal Bishwakarma Ambrose Carr Min Chen Roni Choudhury Jonah Cool Heather H. Creasy Florence D. D’Orazi Kylee Degatano Ben Dichter Song‐Lin Ding Tim Dolbeare Joseph R. Ecker Rongxin Fang Jean‐Christophe Fillion‐Robin Timothy P. Fliss James C. Gee Tom Gillespie Nathan W. Gouwens Guo‐Qiang Zhang Yaroslav O. Halchenko Nomi L. Harris Brian R. Herb Houri Hintiryan Gregory Hood S. Horvath Bing‐Xing Huo Dorota Jarecka Shengdian Jiang Farzaneh Khajouei Elizabeth Kiernan Hüseyin Kır Lauren Kruse Changkyu Lee Boudewijn P. F. Lelieveldt Yang Eric Li Hanqing Liu Lijuan Liu Anup Markuhar James C. Mathews Kaylee L. Mathews Christopher Mezias Michael I. Miller Tyler Mollenkopf Shoaib Mufti Chris Mungall Joshua Orvis Maja Puchades Lei Qu Joseph P. Receveur Bing Ren Nathan Sjoquist Brian Staats Daniel J. Tward Cindy T. J. van Velthoven Quanxin Wang Fangming Xie Hua Xu Zizhen Yao Zhixi Yun

Characterizing cellular diversity at different levels of biological organization and across data modalities is a prerequisite to understanding the function cell types in brain. Classification neurons also essential manipulate controlled ways understand their variation vulnerability brain disorders. The BRAIN Initiative Cell Census Network (BICCN) an integrated network data-generating centers, archives, standards developers, with goal systematic multimodal type profiling characterization....

10.1371/journal.pbio.3002133 article EN cc-by PLoS Biology 2023-06-30

Cells are fundamental function units of multicellular organisms, with different cell types playing distinct physiological roles in the body. The recent advent single-cell transcriptional profiling using RNA sequencing is producing 'big data', enabling identification novel human at an unprecedented rate. In this review, we summarize work characterizing central nervous and immune systems single-nuclei sequencing, discuss implications that these discoveries having on representation reference...

10.1093/hmg/ddy100 article EN cc-by Human Molecular Genetics 2018-03-23

A fundamental characteristic of multicellular organisms is the specialization functional cell types through process differentiation. These specialized not only characterize normal functioning different organs and tissues, they can also be used as cellular biomarkers a variety disease states therapeutic/vaccine responses. In order to serve reference for type representation, Cell Ontology has been developed provide standard nomenclature defined comparative analysis biomarker discovery....

10.1186/s12859-017-1977-1 article EN cc-by BMC Bioinformatics 2017-12-01

ABSTRACT Despite signs of infection, the involvement oral cavity in COVID-19 is poorly understood. To address this, single-cell RNA sequencing data-sets were integrated from human minor salivary glands and gingiva to identify 11 epithelial, 7 mesenchymal, 15 immune cell clusters. Analysis SARS-CoV-2 viral entry factor expression showed enrichment epithelia including ducts acini suprabasal cells mucosae. autopsy tissues confirmed vivo infection mucosa. Saliva SARS-CoV-2-infected individuals...

10.1101/2020.10.26.20219089 preprint EN medRxiv (Cold Spring Harbor Laboratory) 2020-10-27

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 the diversity and complexity brain. But this poses problem: How do we organise such - providing standard way refer types discovered, linking their classification properties supporting data? Cell ontologies provide partial solution these problems, but no existing ontology schemas support definition by direct reference data, using...

10.1038/s41597-022-01886-2 article EN cc-by Scientific Data 2023-01-24

The Systems Biology for Infectious Diseases Research program was established by the U.S. National Institute of Allergy and to investigate host-pathogen interactions at a systems level. This generated 47 transcriptomic proteomic datasets from 30 studies that in vivo vitro host responses viral infections. Human pathogens Orthomyxoviridae Coronaviridae families, especially pandemic H1N1 avian H5N1 influenza A viruses severe acute respiratory syndrome coronavirus (SARS-CoV), were investigated....

10.1038/sdata.2014.33 article EN cc-by Scientific Data 2014-10-13

With the advent of single cell/nucleus RNA sequencing (sc/snRNA-seq), field cell phenotyping is now a data-driven exercise providing statistical evidence to support type/state categorization. However, task classifying cells into specific, well-defined categories with empirical data provided by sc/snRNA-seq remains nontrivial due difficulty in determining specific differences between related types close transcriptional similarities, resulting challenges matching identified separate...

10.1371/journal.pone.0275070 article EN cc-by PLoS ONE 2022-09-23

Abstract Elucidating the cellular architecture of human neocortex is central to understanding our cognitive abilities and susceptibility disease. Here we applied single nucleus RNA-sequencing perform a comprehensive analysis cell types in middle temporal gyrus cerebral cortex. We identify highly diverse set excitatory inhibitory neuronal that are mostly sparse, with being less layer-restricted than expected. Comparison similar mouse cortex dataset revealed surprisingly well-conserved enables...

10.1101/384826 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2018-08-05

The ability to trace every cell in some model organisms has led the fundamental understanding of development and cellular function. However, plants complexity number, organ size, developmental time makes this a challenge even diminutive plant Arabidopsis (Arabidopsis thaliana). Duckweed, basal nongrass aquatic monocots, provide an opportunity follow entire due their small reduced body plan, fast clonal growth habit. Here we present chromosome-resolved genome for highly invasive Lesser...

10.1093/plphys/kiab564 article EN cc-by PLANT PHYSIOLOGY 2021-12-02

Abstract Reference cell atlases powered by single and spatial transcriptomics technologies are becoming available to study healthy diseased tissue at resolution. One important use of these data resources is compare types from new dataset with in the reference evaluate their phenotypic similarities differences, for example, identifying novel under disease conditions. For this purpose, rigorously-validated computational algorithms needed perform type matching tasks that can datasets different...

10.1038/s41598-022-14192-z article EN cc-by Scientific Reports 2022-06-15
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