Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 187

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Siglecs as targets for therapy in immune-cell-mediated disease

Open access
O’Reilly, Mary K., Paulson, James C.·2009·Trends in Pharmacological Sciences

Abstract

The sialic acid-binding immunoglobulin-like lectins (siglecs) comprise a family of receptors that are differentially expressed on leukocytes and other immune cells. The restricted expression of several siglecs to one or a few cell types makes them attractive targets for cell-directed therapies. The anti-CD33 (Siglec-3) antibody Gemtuzumab (Mylotarg™) is approved for treatment of acute myeloid leukemia (AML), and antibodies targeting CD22 (Siglec-2) are currently in clinical trials for treatment of B cell non-Hodgkins lymphomas and autoimmune diseases. Because siglecs are endocytic receptors, they are well suited for a ‘Trojan horse’ strategy, whereby therapeutic agents conjugated to an antibody, or multimeric glycan ligand, bind to the siglec and are efficiently carried into the cell. Although the rapid internalization of unmodified siglec antibodies reduces their utility for induction of antibody-dependent cellular cytotoxicity (ADCC) or complement-mediated cytotoxicity (CDC), antibody binding of Siglec-8, Siglec-9, and CD22 have been demonstrated to induce apoptosis of eosinophils, neutrophils, and depletion of B cells, respectively. Here we review the properties of siglecs that make them attractive for cell-targeted therapies.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.tips.2009.02.005

Cites

2 of 2 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 2 references

Cited by

See all 187

Metadata

Authors
O’Reilly, M. K., & Paulson, J. C.
Venue
Trends in Pharmacological Sciences
Publisher
Elsevier BV
Published
2009-05
Volume
30
Issue
5
Pages
240-248
ISSN
0165-6147 (ISSN-L)
OpenAlex
W1993160668
Cited by
187
References
2
FWCI
1.00
Type
journal article
Language
en
Open access
green

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: Siglecs as targets for therapy in immune-cell-mediated disease. https://app.cochat.ai/papers/10.1016/j.tips.2009.02.005
The paper
O’Reilly, M. K., & Paulson, J. C. (2009). Siglecs as targets for therapy in immune-cell-mediated disease. Trends in Pharmacological Sciences. https://doi.org/10.1016/j.tips.2009.02.005

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.