The DOI matches its Crossref record.
Expansion of CD94/NKG2C+ NK cells in response to human cytomegalovirus-infected fibroblasts
Open accessAbstract
CD94/NKG2C+ natural killer (NK) cells are increased in healthy individuals infected with human cytomegalovirus (HCMV), suggesting that HCMV infection may shape the NK cell receptor repertoire. To address this question, we analyzed the distribution of NK cell subsets in peripheral blood lymphocytes (PBLs) cocultured with HCMV-infected fibroblasts. A substantial increase of NK cells was detected by day 10 in samples from a group of HCMV+ donors, and CD94/NKG2C+ cells outnumbered the CD94/NKG2A+ subset. Fibroblast infection was required to induce the preferential expansion of CD94/NKG2C+ NK cells that was comparable with allogeneic or autologous fibroblasts, and different virus strains. A CD94-specific monoclonal antibody (mAb) abrogated the effect, supporting an involvement of the lectinlike receptor. Purified CD56+ populations stimulated with HCMV-infected cells did not proliferate, but the expansion of the CD94/NKG2C+ subset was detected in the presence of interleukin-15 (IL-15). Experiments with HCMV deletion mutants indicated that the response of CD94/NKG2C+ NK cells was independent of the UL16, UL18, and UL40 HCMV genes, but was impaired when cells were infected with a mutant lacking the US2-11 gene region. Taken together the data support that the interaction of CD94/NKG2C with HCMV-infected fibroblasts, concomitant to the inhibition of human leukocyte antigen (HLA) class I expression, promotes an outgrowth of CD94/NKG2C+ NK cells.
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
Cited by
Lopez-Vergès, S., Milush, J. M., Schwartz, B. S., Pando, M. J., Jarjoura, J., York, V. A., Houchins, J. P., Miller, S., Kang, S.-M., Norris, P. J., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1110900108 · Cited by 822
Human NK cells: surface receptors, inhibitory checkpoints, and translational applications
Sivori, S., Vacca, P., Del Zotto, G., Munari, E., Mingari, M. C., & Moretta, L. (2019) · Cellular & Molecular Immunology · doi:10.1038/s41423-019-0206-4 · Cited by 555
Balancing natural killer cell activation through paired receptors
Martinet, L., & Smyth, M. J. (2015) · Nature Reviews Immunology · doi:10.1038/nri3799 · Cited by 485
Evolutionary struggles between NK cells and viruses
Lanier, L. L. (2008) · Nature Reviews Immunology · doi:10.1038/nri2276 · Cited by 451
Peptide-specific recognition of human cytomegalovirus strains controls adaptive natural killer cells
Hammer, Q., Rückert, T., Borst, E. M., Dunst, J., Haubner, A., Durek, P., Heinrich, F., Gasparoni, G., Babic, M., Tomic, A., et al. (2018) · Nature Immunology · doi:10.1038/s41590-018-0082-6 · Cited by 423
Metadata
- Authors
- Gumá, M., Budt, M., Sáez, A., Brckalo, T., Hengel, H., Angulo, A., & López-Botet, M.
- Venue
- Blood
- Publisher
- American Society of Hematology
- Published
- 2006-05-01
- Volume
- 107
- Issue
- 9
- Pages
- 3624-3631
- ISSN
- 0006-4971 (ISSN-L)
- 1528-0020
- OpenAlex
- W2061630978
- Cited by
- 449
- References
- 0
- FWCI
- 3.54
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Expansion of CD94/NKG2C+ NK cells in response to human cytomegalovirus-infected fibroblasts. https://app.cochat.ai/papers/10.1182/blood-2005-09-3682
- The paper
- Gumá, M., Budt, M., Sáez, A., Brckalo, T., Hengel, H., Angulo, A., & López-Botet, M. (2006). Expansion of CD94/NKG2C+ NK cells in response to human cytomegalovirus-infected fibroblasts. Blood. https://doi.org/10.1182/blood-2005-09-3682
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.