The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Assessing the human immune system through blood transcriptomics
Open accessAbstract
Blood is the pipeline of the immune system. Assessing changes in transcript abundance in blood on a genome-wide scale affords a comprehensive view of the status of the immune system in health and disease. This review summarizes the work that has used this approach to identify therapeutic targets and biomarker signatures in the field of autoimmunity and infectious disease. Recent technological and methodological advances that will carry the blood transcriptome research field forward are also discussed.
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Citations
Cites
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“Data mining A myriad of approaches have been developed for the analysis of genome-wide transcriptional profi ling data [121-124].”
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
Self-citationDetecting shared pathogenesis from the shared genetics of immune-related diseases
Zhernakova, A., van Diemen, C. C., & Wijmenga, C. (2009) · Nature Reviews Genetics · doi:10.1038/nrg2489 · Cited by 551
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Swarm Learning for decentralized and confidential clinical machine learning
Warnat-Herresthal, S., Schultze, H., Shastry, K. L., Manamohan, S., Mukherjee, S., Garg, V., Sarveswara, R., Händler, K., Pickkers, P., Aziz, N. A., et al. (2021) · Nature · doi:10.1038/s41586-021-03583-3 · Cited by 884
Immune response in COVID-19: A review
Chowdhury, M. A., Hossain, N., Kashem, M. A., Shahid, M. A., & Alam, A. (2020) · Journal of Infection and Public Health · doi:10.1016/j.jiph.2020.07.001 · Cited by 445
Kaforou, M., Wright, V. J., Oni, T., French, N., Anderson, S. T., Bangani, N., Banwell, C. M., Brent, A. J., Crampin, A. C., Dockrell, H. M., et al. (2013) · PLoS Medicine · doi:10.1371/journal.pmed.1001538 · Cited by 371
Metadata
- Authors
- Chaussabel, D., Pascual, V., & Banchereau, J.
- Venue
- BMC Biology
- Published
- 2010-07-01
- Volume
- 8
- Issue
- 1
- Pages
- 84-84
- ISSN
- 1741-7007 (ISSN-L)
- OpenAlex
- W2102988949
- Cited by
- 252
- References
- 8
- FWCI
- 7.09
- Type
- journal article
- Language
- en
- Open access
- gold
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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.
