Solving the mysteries of bioscience
Foundational Science Fuels Breakthroughs
Inspiring Next-Generation Scientists
Understanding the complexities of the brain by characterizing and mapping brain cells with unprecedented precision and scale.
Goals and Approach
How many brain cell types are there? What is their form, function, and how do they connect? Teams at the Allen Institute for Brain Science are working to answer these foundational neuroscience questions. By cataloguing and genetically profiling cell types of the brain with incredible precision and detail, we are working to improve our fundamental understanding of brain development, evolution, and disease.
Using a team science approach, we are exploring the mammalian brain at a molecular level and sharing our insights with the world. We do this through advanced single-cell molecular analysis techniques, such as single-cell RNA sequencing and electrophysiology, combined with cutting-edge imaging technologies that provide a comprehensive view of how our brains are organized; what their cellular makeup is; how those cells connect, develop, and function; and the complex relationship between these factors.
Meet our teams
Meet Our Advisors
01.13.2025
Brain Science Data Tools & Research Highlights
We’re defining and analyzing the different cells that make up the mammalian brain to better understand how our brains work, how they develop, and what goes wrong in disease. Using a big, team, and open science approach, we share our discoveries, data, and resources with the broader scientific community to catalyze breakthroughs.
Leading and organizing institute-wide efforts in deciphering the cellular and circuit organization of the mammalian brains, and how it changes in development, evolution, and diseases.
Meet the team
Driving breakthroughs in neuroscience through advanced computation, data management technologies and collaborative open data sharing
Establishing connections between morphoelectric characteristics and transcriptomic-defined cell types
Characterizing cellular diversity in the nervous system of humans and other mammals to study disease, evolution and brain function.
Exploring the diversity of cell types in the brain using a variety of microscopy and image processing techniques.
Leading an effort toward comprehensive molecular analysis of cell type identity in the mouse brain and building state-of-the-art transgenic and viral tools to experimentally access those cell types.
Investigating the cellular and circuit mechanisms underlying changes in cortical physiology with behavior.
Investigating the neuroanatomical architecture of the brain at the population and single cell level.
MEET THE TEAM
Nature
Jan 01, 2025
Kelly Jin, Zizhen Yao, Cindy T. J. van Velthoven, Eitan S. Kaplan, Katie Glattfelder, Samuel T. Barlow, Gabriella Boyer, Daniel Carey, Tamara Casper, Anish Bhaswanth Chakka, Rushil Chakrabarty, Michael Clark, Max Departee, Marie Desierto, Amanda Gary, Jessica Gloe, Jeff Goldy, Nathan Guilford, Junitta Guzman, Daniel Hirschstein, Changkyu Lee, Elizabeth Liang, Trangthanh Pham, Melissa Reding, Kara Ronellenfitch, Augustin Ruiz, Josh Sevigny, Nadiya Shapovalova, Lyudmila Shulga, Josef Sulc, Amy Torkelson, Herman Tung, Boaz Levi, Susan M. Sunkin, Nick Dee, Luke Esposito, Kimberly A. Smith, Bosiljka Tasic, Hongkui Zeng
Nature Neuroscience
Oct 14, 2024
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, Anamika Agrawal, Omar Kana, Xingjian Zhen, Samuel T. Barlow, Krissy Brouner, Jazmin Campos, John Campos, Ambrose J. Carr, Tamara Casper, Rushil Chakrabarty, Michael Clark, Jonah Cool, Rachel Dalley, Martin Darvas, Song-Lin Ding, Tim Dolbeare, Tom Egdorf, Luke Esposito, Rebecca Ferrer, Lynn E. Fleckenstein, Rohan Gala, Amanda Gary, Emily Gelfand, Jessica Gloe, Nathan Guilford, Junitta Guzman, Daniel Hirschstein, Windy Ho, Madison Hupp, Tim Jarsky, Nelson Johansen, Brian E. Kalmbach, Lisa M. Keene, Sarah Khawand, Mitchell D. Kilgore, Amanda Kirkland, Michael Kunst, Brian R. Lee, Mckaila Leytze, Christine L. Mac Donald, Jocelin Malone, Zoe Maltzer, Naomi Martin, Rachel McCue, Delissa McMillen, Gonzalo Mena, Emma Meyerdierks, Kelly P. Meyers, Tyler Mollenkopf, Mark Montine, Amber L. Nolan, Julie K. Nyhus, Paul A. Olsen, Maiya Pacleb, Chelsea M. Pagan, Nicholas Peña, Trangthanh Pham, Christina Alice Pom, Nadia Postupna, Christine Rimorin, Augustin Ruiz, Giuseppe A. Saldi, Aimee M. Schantz, Nadiya V. Shapovalova, Staci A. Sorensen, Brian Staats, Matt Sullivan, Susan M. Sunkin, Carol Thompson, Michael Tieu, Jonathan T. Ting, Amy Torkelson, Tracy Tran, Nasmil J. Valera Cuevas, Sarah Walling-Bell, Ming-Qiang Wang, Jack Waters, Angela M. Wilson, Ming Xiao, David Haynor, Nicole M. Gatto, Suman Jayadev, Shoaib Mufti, Lydia Ng, Shubhabrata Mukherjee, Paul K. Crane, Caitlin S. Latimer, Boaz P. Levi, Kimberly A. Smith, Jennie L. Close, Jeremy A. Miller, Rebecca D. Hodge, Eric B. Larson, Thomas J. Grabowski, Michael Hawrylycz, C. Dirk Keene, Ed S. Lein
Nature Computational Science
Sep 01, 2024
Yeganeh Marghi, Rohan Gala, Fahimeh Baftizadeh, Uygar Sümbül
01.22.2025
07.07.2025 - 07.23.2025
07.28.2025 - 07.30.2025
Understanding life. Advancing health.
The Allen Institute is an independent nonprofit bioscience research institute aimed at unlocking the mysteries of biology.
We are leaders in large-scale research that transforms our understanding of health and disease and shapes how science is conducted worldwide.
