Open resources and data from the Allen Institute: exploring immune health, rheumatoid arthritis, tissue immunity, and cytokine perturbations 2309948

L Lucas Graybuck (Allen Institute for Immunology) E Ernest Coffey (Allen Institute for Immunology) N Neelima Inala (Allen Institute for Immunology) E Ed Johnson (Allen Institute for Immunology) S Sathya Subramanian (Allen Institute for Immunology) P Palak Genge (Allen Institute for Immunology) A Ananda Goldrath (Allen Institute for Immunology) N Nicole Howard (Allen Institute for Immunology) S Susan Kaech (Salk Institute for Biological Studies) A Autumn Kelsey (Allen Institute for Immunology) X Xiao-Jun Li J Jessica Liang (2University of California San Francisco, San Francisco, United States) P Paul Meijer N Nicholas Moss (Allen Institute for Immunology) L Lauren Okada (Allen Institute for Immunology) P Peter Skene (Allen Institute for Immunology) Z Zachary Thomson (Seattle Children’s Research Institute, Center for Integrative Brain Research) T Troy Torgerson (Allen Institute for Immunology) G Garth Kong (Allen Institute for Immunology) C Christian La France (Allen Institute for Immunology)

Abstract

Abstract Introduction A core goal of the Allen Institute is to openly share our immunological data and enable the immunology community to explore and re-use data from our studies of human disease cohorts. We have profiled healthy adults and children as well as patients at risk for rheumatoid arthritis, with multiple myeloma, under treatment for melanoma, and with COVID-19 longitudinally for up to two years, then performed immune profiling using scRNA-seq, plasma or serum proteomics, and clinical lab tests. Methods To process, analyze, and distribute this data, we developed the Human Immune System Explorer (HISE) platform, a flexible, scalable, cloud-based framework to enable storage, interactive analysis, visualization, and generation of Certificates of Reproducibility that enable inspection and replay of any step of an analysis workflow. This platform enables us to openly provide data, interactive visualization tools, scientific context, and analysis methods with the broader immunology community. Results We have applied our tools to both our own studies and large publicly available data resources, including a dataset of ∼10 million PBMCs from a study with 90 cytokine perturbations. These tools and data are freely available to the public, including interactive differential expression, UMAP, clinical data, and longitudinal trend visualizations. Conclusion We invite immunologists to explore this resource and our expanding library of immunology data, insights, and tools at https://explore.allenimmunology.org/. Funding Source n/a Topic Categories Computational and Systems Immunology (COMP)

Article Details

Volume / Issue Vol. 215, Issue Supplement_1
Published August 01, 2026
ISSN 0022-1767
Publisher American Association of Immunologists

Authors (20)

L

Lucas Graybuck

Allen Institute for Immunology

E

Ernest Coffey

Allen Institute for Immunology

N

Neelima Inala

Allen Institute for Immunology

E

Ed Johnson

Allen Institute for Immunology

S

Sathya Subramanian

Allen Institute for Immunology

P

Palak Genge

Allen Institute for Immunology

A

Ananda Goldrath

Allen Institute for Immunology

N

Nicole Howard

Allen Institute for Immunology

S

Susan Kaech

Salk Institute for Biological Studies

A

Autumn Kelsey

Allen Institute for Immunology

X

Xiao-Jun Li

J

Jessica Liang

2University of California San Francisco, San Francisco, United States

P

Paul Meijer

N

Nicholas Moss

Allen Institute for Immunology

L

Lauren Okada

Allen Institute for Immunology

P

Peter Skene

Allen Institute for Immunology

Z

Zachary Thomson

Seattle Children’s Research Institute, Center for Integrative Brain Research

T

Troy Torgerson

Allen Institute for Immunology

G

Garth Kong

Allen Institute for Immunology

C

Christian La France

Allen Institute for Immunology