The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
A Prescription for Human Immunology
Open accessAbstract
Inbred mice have been an extremely successful tool for basic immunology, but much less so as models of disease. Thus, to maximize the use of immunologic approaches to improve human health, we need more strategically directed efforts in human immunology. This would also open up new opportunities for basic research.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Of Mice and Not Men: Differences between Mouse and Human Immunology
Mestas, J., & Hughes, C. C. W. (2004) · The Journal of Immunology · doi:10.4049/jimmunol.172.5.2731 · Cited by 3,822
The Human Genome Project: Lessons from Large-Scale Biology
Collins, F. S., Morgan, M., & Patrinos, A. (2003) · Science · doi:10.1126/science.1084564 · Cited by 1,284
Systems Biology and New Technologies Enable Predictive and Preventative Medicine
Hood, L., Heath, J. R., Phelps, M. E., & Lin, B. (2004) · Science · doi:10.1126/science.1104635 · Cited by 1,108 · cited 1×
“Efforts along these lines could easily fit into the concept of ‘‘personalized medicine’’ together with the analysis of signaling pathways, soluble biomarkers, and genetics (Hood et al., 2004).”
BackgroundA Modular Analysis Framework for Blood Genomics Studies: Application to Systemic Lupus Erythematosus
Chaussabel, D., Quinn, C., Shen, J., Patel, P., Glaser, C., Baldwin, N., Stichweh, D., Blankenship, D., Li, L., Munagala, I., et al. (2008) · Immunity · doi:10.1016/j.immuni.2008.05.012 · Cited by 649
Cited by
Genomic responses in mouse models poorly mimic human inflammatory diseases
Seok, J., Warren, H. S., Cuenca, A. G., Mindrinos, M. N., Baker, H. V., Xu, W., Richards, D. R., McDonald-Smith, G. P., Gao, H., Hennessy, L., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1222878110 · Cited by 3,005
Variation in the Human Immune System Is Largely Driven by Non-Heritable Influences
Brodin, P., Jojic, V., Gao, T., Bhattacharya, S., Angel, C. J. L., Furman, D., Shen-Orr, S., Dekker, C. L., Swan, G. E., Butte, A. J., et al. (2015) · Cell · doi:10.1016/j.cell.2014.12.020 · Cited by 1,065
Self-citationBrodin, P., & Davis, M. M. (2017) · Nature reviews. Immunology · doi:10.1038/nri.2016.125 · Cited by 730
Self-citationMouse Models of Human Disease: An Evolutionary Perspective
Perlman, R. L. (2016) · Evolution, Medicine, and Public Health · doi:10.1093/emph/eow014 · Cited by 647
Immunosenescence: a key player in cancer development
Lian, J., Yue, Y., Yu, W., & Zhang, Y. (2020) · Journal of Hematology & Oncology · doi:10.1186/s13045-020-00986-z · Cited by 510
Mechanisms of innate and adaptive immunity to the Pfizer-BioNTech BNT162b2 vaccine
Li, C., Lee, A., Grigoryan, L., Arunachalam, P. S., Scott, M. K. D., Trisal, M., Wimmers, F., Sanyal, M., Weidenbacher, P. A., Feng, Y., et al. (2022) · Nature Immunology · doi:10.1038/s41590-022-01163-9 · Cited by 505
Conservation and divergence in the transcriptional programs of the human and mouse immune systems
Shay, T., Jojic, V., Zuk, O., Rothamel, K., Puyraimond-Zemmour, D., Feng, T., Wakamatsu, E., Benoist, C., Koller, D., Regev, A., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1222738110 · Cited by 359
Heterogeneity of Human CD4 + T Cells Against Microbes
Sallusto, F. (2016) · Annual Review of Immunology · doi:10.1146/annurev-immunol-032414-112056 · Cited by 336
Schroder, K., Irvine, K. M., Taylor, M. S., Bokil, N. J., Le Cao, K.-A., Masterman, K.-A., Labzin, L. I., Semple, C. A., Kapetanovic, R., Fairbairn, L., et al. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1110156109 · Cited by 308
Accelerating Next-Generation Vaccine Development for Global Disease Prevention
Koff, W. C., Burton, D. R., Johnson, P. R., Walker, B. D., King, C. R., Nabel, G. J., Ahmed, R., Bhan, M. K., & Plotkin, S. A. (2013) · Science · doi:10.1126/science.1232910 · Cited by 282
Dendrou, C. A., Plagnol, V., Fung, E., Yang, J. H. M., Downes, K., Cooper, J. D., Nutland, S., Coleman, G., Himsworth, M., Hardy, M., et al. (2009) · Nature Genetics · doi:10.1038/ng.434 · Cited by 274
Poor Translatability of Biomedical Research Using Animals — A Narrative Review
Marshall, L. J., Bailey, J., Cassotta, M., Herrmann, K., & Pistollato, F. (2023) · Alternatives to Laboratory Animals · doi:10.1177/02611929231157756 · Cited by 219
A comprehensive atlas of immunological differences between humans, mice, and non-human primates
Bjornson-Hooper, Z. B., Fragiadakis, G. K., Spitzer, M. H., Chen, H., Madhireddy, D., Hu, K., Lundsten, K., McIlwain, D. R., & Nolan, G. P. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.867015 · Cited by 215
Apoptosis and other immune biomarkers predict influenza vaccine responsiveness
Furman, D., Jojic, V., Kidd, B., Shen‐Orr, S., Price, J., Jarrell, J., Tse, T., Huang, H., Lund, P., Maecker, H. T., et al. (2013) · Molecular Systems Biology · doi:10.1038/msb.2013.15 · Cited by 184
Self-citationEdwards, D. K., Jasny, E., Yoon, H., Horscroft, N., Schanen, B., Geter, T., Fotin-Mleczek, M., Petsch, B., & Wittman, V. (2017) · Journal of Translational Medicine · doi:10.1186/s12967-016-1111-6 · Cited by 186
A model for harmonizing flow cytometry in clinical trials
the FOCIS Human Immunophenotyping Consortium, Maecker, H. T., & McCoy, J. P. (2010) · Nature Immunology · doi:10.1038/ni1110-975 · Cited by 155
Engineered nanoparticles, How brain friendly is this new guest?
Cupaioli, F. A., Zucca, F. A., Boraschi, D., & Zecca, L. (2014) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2014.05.002 · Cited by 139
Immunosenescence and vaccine failure in the elderly: strategies for improving response
Boraschi, D., & Italiani, P. (2014) · Immunology Letters · doi:10.1016/j.imlet.2014.06.006 · Cited by 86
Variability in the immune system: of vaccine responses and immune states
Shen-Orr, S. S., & Furman, D. (2013) · Current Opinion in Immunology · doi:10.1016/j.coi.2013.07.009 · Cited by 61
Dissecting mammalian immunity through mutation
Siggs, O. M. (2014) · Immunology & Cell Biology · doi:10.1038/icb.2014.8 · Cited by 20
Metadata
- Authors
- Davis, M. M.
- Venue
- Immunity
- Publisher
- Elsevier BV
- Published
- 2008-12
- Volume
- 29
- Issue
- 6
- Pages
- 835-838
- ISSN
- 1074-7613 (ISSN-L)
- OpenAlex
- W1995234326
- Cited by
- 345
- References
- 4
- FWCI
- 8.48
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.