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at the interface of data and neuroscience
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brain science

brain science management

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
Scientist holding brush pointing at chest X-ray images on dark background

goals and approach/

The Brain Science Management team of the Allen Institute's brain science accelerator leads our foundational scientific research in deciphering the cellular and circuit organization of the mammalian brains, from mouse to human, and providing open-access resources of data, knowledge and tools to accelerate neuroscience discoveries across the field. We do this by setting strategic goals, leading the development of new technology platforms and pipelines, leading the generation and public dissemination of comprehensive, multimodal datasets characterizing brain cell types and circuit networks, managing scientific operations, and engaging in collaborations with external researchers.

The mammalian brain is our most complex and mysterious organ, comprising millions to billions of cells and orchestrating our behaviors, emotions, cognition, and metabolism. To understand the function of the brain and how its dysfunction leads to brain diseases, it is essential to uncover the cell type composition of the brain, how the cell types are connected with each other and what their roles are in circuit function. At the brain science accelerator, we have built multiple technology platforms, including single-cell transcriptomics and multiomics, spatial transcriptomics, single and multi-patching electrophysiology, 3D reconstruction of neuronal morphology, brain-wide connectivity mapping, and synaptic-level connectomics by electron microscopy to characterize the molecular, anatomical, physiological, and connectional properties of brain cell types in a systematic manner, towards the creation of multi-modal cell atlases for the mouse, non-human primate and human brains. Our studies reveal extraordinary cellular diversity and underlying principles of brain organization. They establish foundational resources for deep and integrative investigations of cellular and circuit function, development, and evolution of the mammalian brain.

Scientists in the Brain Science Management department also carry out focused, cross-disciplinary research projects to gain a deeper understanding of the relationship between cell types’ molecular identities and connectional properties, and how cell types respond in various behavioral, pharmacological and diseased conditions.

scientific projects/

allen whole mouse brain cell type atlas

By combining two whole-brain scale datasets with multi-millions of cells profiled by single-cell RNA-sequencing or the spatial transcriptomic method, MERFISH, we have created a comprehensive and high-resolution transcriptomic and spatial cell type atlas for the whole adult mouse brain. The atlas identified over 5,300 potential cell types, revealing astonishing cell type diversity across the brain, a high degree of correspondence between transcriptomic identity and spatial specificity for each cell type, and unique characteristics of cell type organization in different brain regions. The study also reveals highly diverse expression patterns of various neurotransmitters and neuropeptides in different cell types, and that transcription factors are major determinants of cell type classification in the adult brain. This project is supported by the BRAIN Initiative Cell Census Network (BICCN) with funding from NIH/NIMH.

Allen Brain Cell (ABC) Atlas

Circular brain atlas showing colorful neuroanatomical cross-sections and gene expression maps

developmental mouse brain cell type atlas

The developing mouse brain is a foundational experimental model for investigation of the origins of cell types in the mammalian brain. We are generating a comprehensive, spatially and temporally resolved, cellular-resolution atlas of the whole developing mouse brain, spanning the entire period of embryonic and postnatal brain development, using single-cell and spatial transcriptomic and multiomic technologies. This work will enable a deep understanding of the mechanisms of mammalian brain development and neurodevelopmental disorders. This project is supported by the BRAIN Initiative Cell Atlas Network (BICAN) with funding from NIH/NIMH.

BICAN: A cell census of the developing human brain

Diagram showing neuron connections and spinal cord layers labeled with anatomical regions and cell types

molecular and cellular adaptations during drug abuse

Drugs of abuse devastate the life of millions of people, yet how these drugs (such as cocaine and opioids) affect the brain remains poorly understood. Utilizing the massive amount of cell-type information we have accumulated, we are conducting a systematic investigation of brain-wide, single-cell level gene expression changes induced by acute or chronic use of cocaine or opioids in mice. This work will lead to the identification of specific cell types and gene targets, as well as generalizable mechanisms, that mediate the addictive effects of these drugs, and facilitate the development of better treatments for drug abuse and addiction. This project is supported by funding from NIH/NIDA.

cell-type based mesoscale connectome of the mouse brain

Brain cell types form functionally specific circuits via synaptic and extra-synaptic connections. To unravel the brain-wide circuit networks and create a mesoscale connectome, we have been mapping the input and output connections of specific cell types in the mouse brain using recombinant adeno–associated virus (AAV) mediated anterograde tracing and recombinant rabies virus mediated retrograde trans-synaptic tracing, combined with cell-type targeting genetic tools. A current focus is on understanding the cortex-basal ganglia-thalamus network that mediates brain functions such as movement, reward and cognition. This project is partly supported by the BRAIN Initiative Cell Census Network (BICCN) with funding from NIH/NIMH.

Allen Mouse Brain Connectivity Atlas

Transgene mouse line characterization

Colorful brain neural network visualization with red, green, blue, and purple interconnected lines.

barcoded connectomics

Neural circuits, the physical substrates that enable conscious thoughts and complex behaviors, are composed of myriad interconnected neurons. Unraveling the connections of different types of neurons thus provides a foundation for understanding brain structures and functions. However, tracing thin individual axons with nanometer-scale diameters, which are also tightly packed with many other axons, across centimeters of brain matter is very labor intensive and error-prone. To overcome these challenges, we develop RNA barcoding and in situ sequencing-based techniques to map neuronal types and connections with unprecedented throughput and resolution. By making circuit mapping expotentially faster, cheaper, and more accurate, we aim to understand brain-wide organization of cell type connectivity, their development, and their evolution.

Barcoded Connectomics team

Diagram showing neural projections from somata, barcode, and gene expression to brain regions with numerical labels.

brain science leadership team

Ed Lein
Executive Vice President and Director
Hongkui Zeng
Executive Vice President and Director, Brain Science

scientific staff members

Changkyu (CK) Lee
Senior Bioinformatics Scientist
Ed Lein
Executive Vice President and Director
Arielle Leon
SW Engineer III
Melissa Lerch
Scientific Project and Alliance Manager
Nathaly Lerma
Research Associate II
Boaz P. Levi
Associate Investigator
Zack Lewis
Scientist, Sr.
Su Li
Software Engineer III
Christine Lin
Scientific Data Engineer
Xiao-Ping Liu
Scientist II
Brian Long
Scientist III
Xiaoyu Lu
Scientist I
Nicholas Lusk
Scientist I
Zachary Madigan
Sr. Software Engineer
Dennis Maharjan
Scientist I
JT Mahoney
Research Associate III
Maryam Majeed
Scientist I
Imran Majeed
SW Engineer II
Sara Majeski
Research Associate III
Matt Mallory
Data Analyst III
Rusty Mann
Sr. Research Associate
Yeganeh Marghi
Scientist II
Rachel A McCue
Research Associate II
Ryan McGinty
Software Engineer III
Delissa McMillen
Manager, Spatial Transcriptomics
Nicholas Mei
Software Engineer III
Jose Melchor
Sr. Software Engineer
Aryana Merritt-Johnson
Research Associate I
John Mich
Senior Scientist
Jeremy Miller
Scientist, Sr.
Tyler Mollenkopf
Associate Director, Data and Technology
Chris Morrison
Software Engineer III
Shoaib Mufti
Sr. Director, Data and Technology
Sujatha Narayan
Senior Scientist
Kamiliam Nasirova
Research Associate II
Nhan-Kiet Ngo
Research Associate III
Tai Nguyen
Lab Operations Coordinator II
Julie Nyhus
Principal Scientific Project Coordinator
Ximena Opitz-Araya
Research Associate, Sr.
Aaron Oster
SW Engineer II
Sven Otto
Product Manager III
Chelsea M. Pagan
Senior Scientific Project and Alliance Manager
Nicholas Peña
Research Associate II
Megan Phillips
Scientific Project Coordinator III
Alex Piet
Scientist II
Alice Pom
Scientific Project Coordinator II
Meagan Quinlan
Scientist II
Jacob Quon
Scientific Data Engineer I
Victoria Rachleff
Candidate
Shea Ransford
Research Associate III
Ashton Reece
Research Associate Supervisor
R. Clay Reid
Investigator, Sr. Connectomics
Irene Rembado
Scientist, Sr.
Dean Rette
Laboratory Animal Services
Christine Rimorin
Research Associate III
Michael Ringenburg
Principal Software Engineer
Jafet Rodriguez La Paz
Research Associate II
Kara Ronellenfitch
Sr. Manager, Transgenic Colony Management
Botond Roska
Institute for Molecular and Clinical Ophthalmology Basel
Jada Roth
Research Associate II
Mara Rue
Scientist I
Augustin Ruiz
Research Associate, Sr.
Raymond Sanchez
Product Manager II
Lindsey Santos
Administrative Assistant II
Jenna Schardt
Research Associate, Sr.
Matthew Schmitz
Scientist I
Casey Schneider-Mizell
Investigator, Assistant
Stephanie Seeman
Scientist III
Aditi Sengupta
Scientific Project and Alliance Manager
Sharmishtaa Seshamani
Manager, Computer Vision
Nadiya Shapovalova
Research Associate Sr. Supervisor
Cliff Slaughterbeck
Senior Manager, System Design Engineering
Kimberly Smith
Director, Molecular Biology
Sherif Soliman
Software Engineer II
Saroja Somasundaram
Bioinformatics Analyst II
Staci Sorensen
Associate Director, Neuroanatomy
Iris Stone
Shanahan Fellow
Uygar Sümbül
Associate Investigator
Susan Sunkin
Director, Scientific Program Management
Kevin Takasaki
Scientist III
Marc Takeno
Research Associate Principal
Michael Taormina
Scientist III
Bosiljka Tasic
Director, Molecular Genetics
Naz Taskin
Research Associate, Sr.
Emma Thomas
Scientist II
Carol L. Thompson
Associate Director, Data & Technology
Bargavi Thyagarajan
Senior Scientific Project and Alliance Manager
Michael Tieu
Research Associate III
Jonathan Ting
Associate Investigator
Amy Torkelson
Research Associate Sr. Supervisor
Russel Torres
SW Engineer III
Kyle Travaglini
Scientist II
Barbara Treutlein
Swiss Federal Institute of Technology in Zürich (ETH Zürich)
Jessica Trinh
Research Associate III
Meghan Turner
Scientist I
Emily Turschak
Research Associate III (PT)
Olivia Unokesan
Research Associate I
Shane Vance
SW Engineer III
Cindy van Velthoven
Associate Investigator
Maria Camila Vergara
Research Associate I
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