The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Improving Antibody Therapeutics by Manipulating the Fc Domain: Immunological and Structural Considerations
Open accessAbstract
Interactions between the crystallizable fragment (Fc) domain of antibodies and a plethora of cellular Fc receptors (FcRs) or soluble proteins form a critical link between humoral and innate immunity. In particular, the immunoglobulin G Fc domain is critical for the clearance of target cells by processes that include ( a) cytotoxicity, phagocytosis, or complement lysis; ( b) modulation of inflammation; ( c) antigen presentation; ( d) antibody-mediated receptor clustering; and ( e) cytokine release. More than 30 Fc-engineered antibodies aimed primarily at tailoring these effects for optimal therapeutic outcomes are in clinical evaluation or have already been approved. Nonetheless, our understanding of how FcR engagement impacts various immune cell phenotypes is still largely incomplete. Recent insights into FcR biology coupled with advances in Fc:FcR structural analysis, Fc engineering, and mouse models that recapitulate human biology are helping to fill in existing knowledge gaps. These advances will provide a blueprint on how to fine-tune the Fc domain to achieve optimal therapeutic efficacy.
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Tissue IgG levels are regulated through FcRn (Fcgrt-encoded) receptor-mediated recycling, depletion of which reduces tissue IgG levels.
“Tissue IgG levels are regulated through FcRn (Fcgrt-encoded) receptor-mediated recycling, the depletion of which is known to reduce tissue IgG levels.54”
From Spatial transcriptomic landscape unveils immunoglobin-associated senescence as a hallmark of aging (2024) · cites this paper as [54]
“The Neonatal FcR” section says FcRn recycles IgG, protects it from degradation, and transports it across epithelial barriers. “Engineering Binding to FcRn” reports that interfering with recycling reduces circulating pathogenic autoantibodies. The copy does not report that FcRn depletion reduces tissue IgG levels or identify FcRn as Fcgrt-encoded (page numbers unavailable). (LLM, conf=0.85)
Experimental — accuracy not yet measured
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
Fate Mapping Reveals Origins and Dynamics of Monocytes and Tissue Macrophages under Homeostasis
Yona, S., Kim, K.-W., Wolf, Y., Mildner, A., Varol, D., Breker, M., Strauss-Ayali, D., Viukov, S., Guilliams, M., Misharin, A., et al. (2013) · Immunity · doi:10.1016/j.immuni.2012.12.001 · Cited by 3,245
Fcγ receptors as regulators of immune responses
Nimmerjahn, F., & Ravetch, J. V. (2008) · Nature Reviews Immunology · doi:10.1038/nri2206 · Cited by 2,947
Complement and its role in innate and adaptive immune responses
Dunkelberger, J. R., & Song, W.-C. (2010) · Cell Research · doi:10.1038/cr.2009.139 · Cited by 1,932
Shields, R. L., Lai, J., Keck, R., O'Connell, L. Y., Hong, K., Meng, Y. G., Weikert, S. H. A., & Presta, L. G. (2002) · Journal of Biological Chemistry · doi:10.1074/jbc.m202069200 · Cited by 1,835
IgG Fc engineering to modulate antibody effector functions
Wang, X., Mathieu, M., & Brezski, R. J. (2018) · Protein & Cell · doi:10.1007/s13238-017-0473-8 · Cited by 356
Flagged first, then by citations
Research works printed but not linked: 153
- 10.1080/19420862.2020.1860476 · DOI
- 10.3390/antib8040055 · DOI
- 10.1146/annurev-immunol-020711-074942 · DOI
- 10.1074/jbc.M605372200 · DOI
- 10.1158/1535-7163.MCT-15-0335 · DOI
- 10.1016/j.celrep.2018.05.082 · DOI
- 10.3389/fimmu.2015.00079 · DOI
- 10.1038/nrd.2018.75 · DOI
- 10.1016/j.immuni.2017.07.009 · DOI
- 10.1016/j.immuni.2019.12.006 · DOI
- 10.3389/fimmu.2021.713704 · DOI
- 10.1371/journal.pone.0096903 · DOI
- 10.1126/scitranslmed.3007097 · DOI
- 10.3389/fimmu.2014.00254 · DOI
- 10.3389/fimmu.2019.02237 · DOI
- 10.3389/fimmu.2019.00223 · DOI
- 10.3389/fimmu.2019.00464 · DOI
- 10.1182/blood-2008-09-179754 · DOI · Paper page
- 10.1074/jbc.RA118.004998 · DOI
- 10.1074/jbc.RA117.001207 · DOI
- 10.1074/mcp.RA119.001733 · DOI
- 10.1001/jamaoncol.2016.4884 · DOI
- 10.1182/blood.V99.3.754 · DOI
- 10.1016/j.coi.2016.03.002 · DOI
- 10.4049/jimmunol.1200501 · DOI · Paper page
- 10.7554/eLife.16578 · DOI
- 10.1182/blood-2015-09-625343 · DOI
- 10.3389/fimmu.2014.00520 · DOI · Paper page
- 10.3389/fimmu.2020.00118 · DOI
- 10.4049/jimmunol.0801665 · DOI
- 10.3389/fimmu.2019.01958 · DOI
- 10.4049/jimmunol.1202017 · DOI
- 10.4049/jimmunol.1301249 · DOI
- 10.1038/srep34310 · DOI
- 10.1016/j.immuni.2011.11.009 · DOI
- 10.1158/1535-7163.MCT-08-0201 · DOI
- 10.3389/fimmu.2019.00562 · DOI
- 10.1182/bloodadvances.2017015008 · DOI
- 10.4049/jimmunol.0713732 · DOI
- 10.1371/journal.pone.0223264 · DOI
- 10.1369/0022155417705095 · DOI
- 10.1146/annurev.immunol.18.1.739 · DOI
- 10.3389/fimmu.2019.01540 · DOI
- 10.1084/jem.20200359 · DOI
- 10.1111/eci.12716 · DOI
- 10.4049/jimmunol.169.7.3831 · DOI
- 10.4049/jimmunol.178.6.3973 · DOI
- 10.1016/j.imbio.2006.05.016 · DOI
- 10.4049/jimmunol.165.10.5954 · DOI
- 10.4049/jimmunol.170.12.6158 · DOI
- 10.1038/ni.3770 · DOI
- 10.1111/imr.12336 · DOI
- García-García E, 2002, J. Leukoc. Biol., 72, 1092, 10.1189/jlb.72.6.1092 · DOI
- 10.1182/blood.V95.7.2407 · DOI
- 10.1073/pnas.1008248107 · DOI
- 10.1074/jbc.M003518200 · DOI
- 10.1038/nm1288 · DOI
- 10.1172/JCI74572 · DOI
- 10.1016/j.immuni.2004.11.017 · DOI
- 10.1038/nm1665 · DOI
- 10.3389/fimmu.2019.00811 · DOI
- 10.3389/fimmu.2020.01320 · DOI
- 10.1016/j.immuni.2007.11.024 · DOI
- 10.1016/j.cell.2018.05.059 · DOI
- 10.1111/imr.12332 · DOI
- 10.3389/fimmu.2017.00394 · DOI
- 10.1146/annurev-immunol-051116-052433 · DOI
- 10.1111/j.1365-3083.1990.tb02774.x · DOI
- 10.1111/imr.12366 · DOI
- 10.1016/S0021-9258(19)51097-3 · DOI
- 10.1038/mi.2016.12 · DOI
- 10.1038/s41467-021-21998-4 · DOI
- 10.1182/blood.V82.3.931.931 · DOI
- 10.1182/blood-2012-07-442541 · DOI
- 10.1126/scisignal.aaq0891 · DOI
- 10.3324/haematol.2020.248385 · DOI
- 10.1080/19420862.2015.1007813 · DOI · Paper page
- 10.1111/j.1365-2249.2006.03174.x · DOI
- 10.1016/j.imlet.2007.12.003 · DOI
- 10.1083/jcb.201608094 · DOI
- 10.1016/j.imbio.2014.07.016 · DOI
- 10.4161/19420862.2014.975657 · DOI
- 10.1111/imr.12334 · DOI
- 10.1182/blood-2008-10-184457 · DOI
- 10.1074/jbc.273.16.9393 · DOI
- 10.1016/S0960-9822(98)70085-5 · DOI
- 10.4049/jimmunol.177.12.8440 · DOI
- 10.4049/jimmunol.1203570 · DOI
- 10.3389/fimmu.2018.03124 · DOI
- 10.1016/j.yexcr.2017.11.009 · DOI
- 10.1182/blood-2011-12-401133 · DOI
- 10.1074/jbc.M110.169516 · DOI
- 10.1002/art.10230 · DOI
- 10.3389/fimmu.2019.00704 · DOI
- 10.4049/jimmunol.181.6.4080 · DOI
- 10.1074/jbc.M112.353060 · DOI
- 10.1093/glycob/cwz068 · DOI
- 10.1111/imr.12365 · DOI
- 10.1073/pnas.1418812112 · DOI
- 10.1038/35018508 · DOI
- 10.1038/ncomms7866 · DOI
- 10.1126/science.aao4988 · DOI
- 10.1021/acschembio.8b00342 · DOI
- 10.1007/s12033-012-9531-x · DOI
- 10.1021/cb300130k · DOI
- 10.1016/j.str.2015.06.015 · DOI
- 10.1128/JVI.01476-07 · DOI
- 10.1038/nature01685 · DOI
- 10.1074/jbc.M113.537563 · DOI · Paper page
- 10.1074/jbc.M115.691568 · DOI
- 10.1016/j.jmb.2014.01.011 · DOI
- 10.1074/jbc.M009483200 · DOI
- 10.4049/jimmunol.1401218 · DOI
- 10.1073/pnas.0908590107 · DOI
- 10.1016/j.str.2020.03.001 · DOI
- 10.1126/science.1248943 · DOI
- 10.1021/acs.nanolett.9b02220 · DOI
- 10.1016/j.tips.2020.03.005 · DOI
- 10.1126/science.aaz9356 · DOI
- 10.1073/pnas.0508123103 · DOI
- 10.1158/0008-5472.CAN-07-0696 · DOI
- 10.1073/pnas.1203954109 · DOI
- 10.1038/s41467-019-13108-2 · DOI
- 10.1038/s41586-020-2838-z · DOI
- 10.1016/j.cell.2015.04.016 · DOI
- 10.4049/jimmunol.0900847 · DOI
- 10.1080/19420862.2015.1022692 · DOI
- 10.1182/blood-2008-09-179754 · DOI · Paper page
- Tao MH, 1989, J. Immunol., 143, 2595, 10.4049/jimmunol.143.8.2595 · DOI
- 10.1006/cimm.2000.1617 · DOI
- 10.1107/S0907444908007877 · DOI
- 10.1016/j.ccr.2010.11.012 · DOI
- 10.1073/pnas.1208698109 · DOI
- 10.1016/j.molimm.2008.06.027 · DOI
- 10.1093/protein/gzt022 · DOI
- 10.1073/pnas.1810566115 · DOI
- 10.1371/journal.pbio.1002344 · DOI
- 10.3324/haematol.2011.047159 · DOI
- 10.1182/blood-2008-04-149161 · DOI
- 10.4161/mabs.2.2.11158 · DOI
- 10.4049/jimmunol.0804182 · DOI
- 10.4049/jimmunol.169.9.5171 · DOI
- 10.1038/nbt.1601 · DOI
- 10.1172/JCI97911 · DOI · Paper page
- 10.1073/pnas.1422481112 · DOI · Paper page
- 10.3389/fimmu.2017.00877 · DOI
- 10.4049/jimmunol.1900985 · DOI
- 10.1126/scitranslmed.aaf9418 · DOI
- 10.4049/jimmunol.1401470 · DOI
- 10.1038/s41598-021-81669-8 · DOI
- 10.1126/scitranslmed.aay1359 · DOI
- 10.1016/j.chembiol.2014.10.017 · DOI
- 10.1016/j.immuni.2021.03.009 · DOI
Cited by
Sorted by citations
Spatial transcriptomic landscape unveils immunoglobin-associated senescence as a hallmark of aging
Ma, S., Ji, Z., Zhang, B., Geng, L., Cai, Y., Nie, C., Li, J., Zuo, Y., Sun, Y., Xu, G., et al. (2024) · Cell · doi:10.1016/j.cell.2024.10.019 · Cited by 162
Metadata
- Authors
- Delidakis, G., Kim, J. E., George, K., & Georgiou, G.
- Affiliations
- The University of Texas at Austin (US)
- Venue
- Annual Review of Biomedical Engineering
- Publisher
- Annual Reviews
- Published
- 2022-06-06
- Volume
- 24
- Issue
- 1
- Pages
- 249-274
- ISSN
- 1523-9829 (ISSN-L)
- 1545-4274
- PMC
- PMC9648538
- OpenAlex
- W4220826711
- Cited by
- 87
- References
- 5
- Citations by year
- 2026: 25 · 2025: 19 · 2024: 28 · 2023: 14 · 2022: 1
- FWCI
- 1.53
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Annual Review of Biomedical Engineering (publishedVersion, cc-by)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health
- National Institute of Allergy and Infectious Diseases (U01AI148118)
- Topics
- Life Sciences › Immunology and Microbiology › Immunology › Monoclonal and Polyclonal Antibodies Research
- Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
- Life Sciences › Immunology and Microbiology › Immunology › Immune Cell Function and Interaction
- Keywords
- therapeutic antibodies, Fc receptors, IgG, antibody-mediated phagocytosis, antibody-mediated cytotoxicity, complement-mediated lysis, inflammation modulation, antigen presentation, receptor clustering, cytokine production, mouse models of human disease
- MeSH terms
- Animals, Humans, Immunity, Innate, Immunoglobulin Fc Fragments, Phagocytosis, Receptors, Fc, Mice
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