2015 ANNUAL REPORT
Our ability to interact with the world around us arises from
electrical impulses moving rapidly in coordinated patterns
in our brains. The pathways that underlie cognition are in
near constant flux, with neurons rapidly changing shape and
genetic program to process signals, create new connections
and adapt to our changing environment.
At the Allen Institute, our science reflects that same adaptive
motion. Building on the unique tools we created in our first
decade, we now study how neuronal signatures drive the
movement of signals between the brain’s more than 86 billion
neurons as they function in real time. We are revealing the
inner workings of our body’s cells as they mature. We are
analyzing and modeling our data in three dimensions. We
are interacting across disciplines and fields to develop new
technologies, integrate large-scale datasets and move into
a deeper understanding of our internal and external worlds.
Pictured (cover)
A saggital view of the
mouse forebrain from
our mouse anatomic
gene expression
atlas (AGEA).
2
The human brain would be complex enough if it
stood still. But each of its billions of cells are in near
constant motion, chattering over synapses and
reaching to form new connections. The elaborate
machinery of our brains drives who we are and what
makes us human. In our quest to understand the
brain, we are increasingly focused on deciphering
its parts and how they work and move together.
It has been an exceptional year at the Allen Institute.
In May, the Allen Institute for Brain Science debuted
a brand new product — the Allen Cell Types Database
— which puts a powerful tool to study and catalog the
cells of the brain in the hands of researchers around
the world. This past December, we were thrilled to
announce the launch of the Allen Institute for Cell
Science to create and share dynamic and predictive
three-dimensional models of cells, with an eye toward
changing the way we conduct biomedical research.
All of this movement has taken place in the midst
of our most literal move, as we prepare this fall to
transition into our beautiful, new, purpose-built
building in the South Lake Union neighborhood
of Seattle.
As we continue to grow, we always come back to our
goal of serving the scientific community. The Allen
Institute for Brain Science has been a key driver in
helping to establish the community standards that
enable us to share data and analysis more easily and
efficiently. The new Allen Institute for Cell Science is
engaged in a fascinating conversation with the cell
biology community, working to create and share
tools to support science and accelerate the pace
of biomedical research.
The Allen Institute has been a tremendously exciting
place to watch grow and blossom. As we move into
the future, I eagerly anticipate where we can go next.
Allan Jones, Ph.D.
Chief Executive Officer
3
2015 ANNUAL REPORT
signals in motion
Top (left to right)
Colin Farrell, Ph.D.
Director, Manufacturing
& Process Engineering
Hongkui Zeng, Ph.D.
Investigator
Amy Bernard, Ph.D.
Director, Structured Science

Below
Digitally reconstructed
neurons mapped onto
the Common Coordinate
Framework in the mouse
primary visual cortex.
ALLEN INSTITUTE
4
Above (left to right)
Jim Berg, Ph.D.
Manager, Electrophysiology
Core
Lydia Ng, Ph.D.
Senior Director, Technology
Staci Sorensen, Ph.D.
Manager, Morphology
& 3D Reconstruction
The Allen Cell Types Database is the first open
resource of its kind to characterize the same
set of cells from the mouse cortex in multiple
ways, including their electrophysiological
properties and shapes, and provide models
of cell behavior that let users create and study
their own artificial networks of cells.
The Allen Cell Types Database will help
scientists create a rich list of the brain’s
building blocks: a key landmark on the path
to understanding how the billions of cells
in our brain function as a whole.
Like all the Allen Brain Atlas resources, the
Allen Cell Types Database is the fruit of
our team science approach that generates
useful big science resources and shares them
openly with the entire scientific community.
The human brain has more than
86 billion neurons, and with their
dizzyingly elaborate shapes,
diverse signaling patterns and
different gene expression, no two
are quite the same. Cataloging
the cells that make up the brain
is an enormous task.
2015 ANNUAL REPORT
5
the brain in action
Top
A map of visual areas in
the mouse cortex generated
by imaging changes in
fluorescence of an activity-
dependent indicator.
Bottom (left to right)
Yang Li
Software Engineer III
Quanxin Wang, Ph.D.
Senior Scientist
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ALLEN INSTITUTE
Our Cortical Activity Map program is considering
this question by observing the activity of the mouse
cortex during behavior and mapping which areas and
which neurons are involved during different visual
tasks. The aim of this complex integration of data is
to ultimately create a rich map of what happens —
and where — in the visual brain at the cellular level.
The Cortical Activity Map, built on our next
generation Common Coordinate Framework, will
become a valuable tool to guide how we study vision
in the brain. With a map in hand, we can begin to
ask which types of cells or layers of the cortex are
responsible for different behaviors, or how different
cells function together in circuits — all building to a
more robust understanding of how vision works in
real time in the brain.
Human Brain Cells Up Close
In the quiet late nights of the electrophysiology
lab, a small group of Allen Institute researchers
is working to take recordings directly from live
human tissue. This rare and exciting opportunity
to learn about living human cells up close is
the result of collaborations between the Allen
Institute and local Seattle hospitals and
neurosurgeons to acquire and study small pieces
of tissue which would typically be discarded
during brain surgeries. These precious cells are
recorded, filled with dyes and later imaged in
a light microscope — medical waste given new
and invaluable life as a window directly into
how the human brain works.
Above
A biocytin-filled human
neocortical pyramidal
neuron in a brain slice.
Left (left to right)
Jonathan Ting, Ph.D.
Scientist II
Ed Lein, Ph.D.
Investigator
What happens in our brains
when we see an object?
Top (left to right)
Saskia de Vries, Ph.D.
Senior Scientist
Michael Buice, Ph.D.
Assistant Investigator
Bottom
Maximum intensity
projection image of cells
responding to drifting
gratings of different
orientations and spatial
frequencies.
2015 ANNUAL REPORT
7
Left
Early-born neurons
generated from directed
differentiation of human
embryonic stem cells.
Right (left to right)
Boaz Levi, Ph.D.
Manager, in Vitro
Human Cell Types
Yanling Wang, Ph.D.
Manager, in Vitro
Human Cell Types
Joshua Grimley, Ph.D.
Manager, in Vitro
Human Cell Types
moving through
time and space
Whether charting the development
of cells into neurons or navigating
data in 3D, our scientists are
pioneering new ways to explore
the brain.
8
ALLEN INSTITUTE
Growing Neurons In A Dish
Much like our heritage provides insight into who we
are, the lineage of our brain cells sheds light on what
makes us human from the earliest moments of our
development. The in Vitro Human Cell Types team is
guiding human embryonic stem cells through early
neural development, exploring how different types
of brain cells emerge and mature and identifying the
major molecular decision-makers along the way. They
have so far fostered groups of cells in a dish up to four
months old that match the milestone development
of human brain tissue, creating a valuable platform to
examine some of the earliest moments of brain cell
growth that make us uniquely human.
3D Space Travel
Tracing individual neurons in three dimensions is an
immense computational task. The Allen Institute is
spearheading the international BigNeuron initiative:
a community effort that is collecting morphological
data sets from thousands of nerve cells from a variety
of species, together with tracing and reconstruction
algorithms, and “bench testing” the algorithms using
some of the world’s most powerful supercomputers.
The goal is to find, compare and share the best and
most accurate algorithms to help reconstruct neuron
shapes from raw data and bolster our understanding
of how these cells may function, based on their shape.
In addition to key algorithms and tools, the project
will also yield an unprecedented set of openly
available single neuron reconstruction data for the
entire neuroscience community.
Middle
A fraction of the hundreds
of thousands of neuron
reconstructions produced
by BigNeuron.
Bottom
Color-coded structural
elements including nodes
and segments of a 3D
reconstructed neuron.
Right (left to right)
Jane Roskams, Ph.D.
Executive Director,
Strategy & Alliances
Hanchuan Peng, Ph.D.
Associate Investigator
2015 ANNUAL REPORT
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Creating community standards in
neuroscience is one of the most
important tasks to ensure that the
work we do is useful and shareable.
The Allen Institute is helping to
drive efforts to create the common
platforms that will accelerate the
pace of neuroscience research
around the globe.
Neurodata Without Borders
The Institute took a lead role in launching Neurodata
Without Borders — a partnership with GE, The
Kavli Foundation, NYU School of Medicine, HHMI,
Caltech and UC Berkeley — which helps to establish
international standards for how neurophysiology
data can be represented and shared.
Imec Neuropix
The Institute contracted with the Belgian
microelectronic design and manufacturer imec to
create a very high density state-of-the-art electrical
sensor array for recording neural activity in animal
brains, in partnership with HHMI, the Gatsby
Charitable Foundation, the Wellcome Trust and
University College London.

BigNeuron
The Institute initiated this global community effort
to identify the state-of-the-art of 3D single neuron
reconstructions, standardize protocols and establish
data resources.

Common Coordinate Framework
A major feature of our Allen Brain Atlas resources,
the Common Coordinate Framework is a high-
resolution volumetric mapping tool for the
adult mouse brain that is seamlessly incorporated
into our data resources so scientists can view
and quantitatively compare data from multiple
sources within a common 3D anatomical
reference framework.
moving
the needle
Left
Scientists from around
the world gather at a
BigNeuron hackathon
hosted at the Allen
Institute.
Right
Christof Koch, Ph.D.
President & Chief
Scientific Officer
10
ALLEN INSTITUTE
Above
Imec probes, used to
detect extracellular
electrical activity from
300 cells in the brain.
2015 ANNUAL REPORT
11
cells in motion
Below
Intracellular architecture
of a primary mouse
embryonic fibroblast.
12
ALLEN INSTITUTE
The cell is the fundamental unit of life, and each one
is a microcosm of complex, living machinery. While
we understand the basic functions of most cells, how
a cell’s genes and environment work together to
perform those functions remains largely a mystery.
The Allen Institute for Cell Science was founded with
the goal of better explaining and predicting the
behaviors of our cells, whether healthy or diseased.
Harnessing the power of visual tools, the first project
of the new Institute is to create a dynamic, animated,
three-dimensional model of a cell that shows how
its parts integrate to determine a wide variety of
behaviors as it differentiates from an induced
pluripotent stem cell into heart and epithelial cells.
This rich and predictive model will become a
valuable tool to cell scientists around the globe
to investigate the fundamental properties of cells,
and will galvanize the cell science community to
combat disease in meaningful ways.

Below (left to right)
Sean Palecek, Ph.D.
Fellow, Stem Cells &
Gene Editing
Nikki Bialy, Ph.D.
Associate Director
Winfried Wiegrabe, Ph.D.
Director, Microscopy &
Image Analysis
Ruwanthi Gunawardane, Ph.D.
Director, Stem Cells &
Gene Editing
Graham Johnson, Ph.D.
Director, Animated Cell
Susanne Rafelski, Ph.D.
Director, Assay Development
Rick Horwitz, Ph.D.
Executive Director
Introducing the
Allen Institute for Cell Science
13
2015 ANNUAL REPORT
(In Thousands)
Allen Institute
Fiscal Years 2014 and 2013
2014
(Audited)
2013
(Audited)
Support and Revenue
Contributions
$ 52,878
$ 126,894
Research Grants and Contracts
3,498
3,923
Other
2,671
553
Total Support and Revenue
59,047
131,370
Expenses
Program Services
43,534
36,548
Management and General
8,451
7,983
Total Expenses
51,985
44,531
Change In Net Assets
$
7,062
$
86,839
Net Assets, Beginning of Year
164,070
77,231
Net Assets, End of Year
$ 171,132
$ 164,070
Funding Sources
2014
Expenses 2014
Program Services
Management and General
16%
84%
6% 4%
90%
financial
summary
Contributions
Research Grants and Contracts
Other
14
our team
Founders
Paul G. Allen
Jody Allen
Leadership
Allan Jones, Ph.D.
Chief Executive Officer
Chinh Dang
Chief Technology Officer
Christof Koch, Ph.D.
President & Chief Scientific
Officer, Allen Institute
for Brain Science
David Poston
Chief Operating Officer
Rick Horwitz, Ph.D.
Executive Director, Allen
Institute for Cell Science
Tom Skalak, Ph.D.
Executive Director for Science
and Technology for the Paul
G. Allen Family Foundation
Board of Directors
Jody Allen
President & Board Chair,
Allen Institute; Chief Executive
Officer, Vulcan Inc.
Barbara Bennett
President & Chief Operating
Officer, Vulcan, Inc.
Nathaniel T. Brown
Executive Vice President, LHUI
Thomas Daniel, Ph.D.
Professor of Biology,
Neurobiology and Behavior,
Komen Endowed Chair,
University of Washington
Stephen Hall
Managing Director, Venture
Capital, Vulcan Inc.
Allen D. Israel
Member, Foster Pepper LLC
Allen Institute for Brain Science
Scientific Advisory Board
David Anderson, Ph.D.
California Institute of Technology
Edward Callaway, Ph.D.
Salk Institute for
Biological Studies
Thomas Daniel, Ph.D.
University of Washington
Catherine Dulac, Ph.D.
Harvard University
Daniel Geschwind, M.D., Ph.D.
University of California,
Los Angeles
Story Landis, Ph.D.
Former Director, National
Institute of Neurological
Disorders and Stroke
Marc Tessier-Lavigne, Ph.D.
The Rockefeller University
Giulio Tononi, M.D., Ph.D.
University of Wisconsin
— Madison
David Van Essen, Ph.D.
Washington University
School of Medicine
Allen Institute for Brain Science
Advisory Council Members
Larry Abbott, Ph.D.
Columbia University
György Buzsáki, M.D., Ph.D.
New York University
Hollis Cline, Ph.D.
Scripps Research Institute
Yang Dan, Ph.D.
University of California, Berkeley
Michael Elowitz, Ph.D.
California Institute of Technology
Adrienne Fairhall, Ph.D.
University of Washington
Anne-Claude Gavin, Ph.D.
European Molecular
Biology Laboratory
Richard Gibbs, Ph.D.
Baylor College of Medicine
Kristen Harris, Ph.D.
University of Texas at Austin
Patrick Hof, M.D.
Mount Sinai School of Medicine
Arnold Kriegstein, M.D., Ph.D.
University of California,
San Francisco
John H.R. Maunsell, Ph.D.
Harvard Medical School
David McCormick, Ph.D.
Yale University
Markus Meister, Ph.D.
California Institute of Technology
Randall Moon, Ph.D.
University of Washington
Jeffrey Nye, M.D., Ph.D.
Janssen Pharmaceutical
Companies of Johnson
& Johnson
Sharad Ramanathan, Ph.D.
Harvard University
Botond Roska, M.D., Ph.D.
Friedrich Miescher Institute
for Biomedical Research
Peter Somogyi, Ph.D.
University of Oxford
Michael Stryker, Ph.D.
University of California,
San Francisco
Lorenz Studer, M.D.
Sloan-Kettering Institute
David Tank, Ph.D.
Princeton University
Christopher Walsh, M.D., Ph.D.
Harvard Medical School
Rafael Yuste, M.D., Ph.D.
Columbia University
Allen Institute for Cell Science
Scientific Advisory Board
Bruce Alberts, Ph.D.
University of California,
San Francisco
Sangeeta Bhatia, M.D., Ph.D.
Massachusetts Institute
of Technology
Joan Brugge, Ph.D.
Harvard Medical School
Peter Devreotes, Ph.D.
John Hopkins School of Medicine
David Drubin, Ph.D.
University of California, Berkeley
Michael Elowitz, Ph.D.
California Institute of Technology
Larry Goldstein, Ph.D.

University of California,
San Diego
Anthony Hyman, Ph.D.
Max Planck Institute of Molecular
Cell Biology and Genetics
Douglas Lauffenburger, Ph.D.
Massachusetts Institute
of Technology
Jennifer Lippincott-Schwartz, Ph.D.
National Institute of Child Health
and Human Development, NIH
Charles Murry, M.D., Ph.D.
University of Washington
Thomas Pollard, M.D.
Yale University
Sandra Schmid, Ph.D.
University of Texas
Southwestern Medical Center
Julie Theriot, Ph.D.
Stanford University
School of Medicine
Staff
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More than 120 researchers
with Ph.D. degrees
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