The Immunological Genome Project: networks of gene expression in immune cells
Abstract
The Immunological Genome Project combines immunology and computational biology laboratories in an effort to establish a complete 'road map' of gene-expression and regulatory networks in all immune cells.
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When applied to the ImmGen reference, SingleR identified 33 of 48 cells previously thought to be bone marrow-derived dendritic cells as macrophages.
“SingleR identified 33 of the 48 cells thought in the study to be BMDCs as macrophages”
From Reference-based analysis of lung single-cell sequencing reveals a transitional profibrotic macrophage (2019) · cites this paper as [12]
The ImmGen database is a large compendium of cell types from multiple organs, which facilitated the clustering analysis by differential annotation.
“The ImmGen database is a large compendium of cell types from multiple organs, which greatly facilitated our clustering analysis by differential annotation.”
From Reference-based analysis of lung single-cell sequencing reveals a transitional profibrotic macrophage (2019) · cites this paper as [12]
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Multilayered specification of the T-cell lineage fate.
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Treg engage lymphotoxin beta receptor for afferent lymphatic transendothelial migration
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Investigating Ketone Bodies as Immunometabolic Countermeasures against Respiratory Viral Infections
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A plate-based single-cell ATAC-seq workflow for fast and robust profiling of chromatin accessibility
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Asymmetric cell division during T cell development controls downstream fate
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- Authors
- The Immunological Genome Project Consortium, Heng, T. S. P., Painter, M. W., Elpek, K., Lukacs-Kornek, V., Mauermann, N., Turley, S. J., Koller, D., Kim, F. S., Wagers, A. J., Asinovski, N., Davis, S., Fassett, M., Feuerer, M., Gray, D. H. D., Haxhinasto, S., Hill, J. A., Hyatt, G., Laplace, C., Leatherbee, K., Mathis, D., Benoist, C., Jianu, R., Laidlaw, D. H., Best, J. A., Knell, J., Goldrath, A. W., Jarjoura, J., Sun, J. C., Zhu, Y., Lanier, L. L., Ergun, A., Li, Z., Collins, J. J., Shinton, S. A., Hardy, R. R., Friedline, R., Sylvia, K., & Kang, J.
- Affiliations
- Brigham and Women's Hospital (US)
- Harvard University (US)
- Stanford University (US)
- Joslin Diabetes Center (US)
- Brown University (US)
- University of California San Diego (US)
- University of California, San Francisco (US)
- Boston University (US)
- Fox Chase Cancer Center (US)
- University of Massachusetts Chan Medical School (US)
- ORCID
- Heng, Tracy S P
- Elpek, Kutlu
- Turley, Shannon J
- Koller, Daphne
- Wagers, Amy J
- Davis, Scott
- Fassett, Marlys
- Feuerer, Markus
- Gray, Daniel H D
- Haxhinasto, Sokol
- Hill, Jonathan A
- Mathis, Diane
- Benoist, Christophe
- Jianu, Radu
- Laidlaw, David H
- Goldrath, Ananda W
- Sun, Joseph C
- Lanier, Lewis L
- Collins, James J
- Shinton, Susan A
- Hardy, Richard R
- Friedline, Randall
- Kang, Joonsoo
- Venue
- Nature Immunology
- Published
- 2008-10
- Volume
- 9
- Issue
- 10
- Pages
- 1091-1094
- ISSN
- 1529-2908 (ISSN-L)
- 1529-2916
- OpenAlex
- W1977099733
- Cited by
- 1,864
- References
- 20
- Citations by year
- 2026: 101 · 2025: 158 · 2024: 156 · 2023: 159 · 2022: 151 · 2021: 162 · 2020: 162 · 2019: 158 · 2018: 133 · 2017: 116 · 2016: 91 · 2015: 81 · 2014: 61 · 2013: 77 · 2012: 49
- FWCI
- 6.53
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Immunology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute of Allergy and Infectious Diseases (R24AI072073)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
- Keywords
- gene expression, gene regulatory networks, immune cells, transcriptomics, computational biology, immune cell atlas
- MeSH terms
- Immune System, Gene Expression, Genome, Genomics, Databases, Genetic
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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