Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,496

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

An Antagonist Decoy Receptor and a Death Domain-Containing Receptor for TRAIL

Pan, Guohua, Ni, Jian, Wei, Ying-Fei, Yu, Guo-liang, Gentz, Reiner, Dixit, Vishva M.·1997·Science

Abstract

TRAIL, also called Apo2L, is a cytotoxic protein that induces apoptosis of many transformed cell lines but not of normal tissues, even though its death domain–containing receptor, DR4, is expressed on both cell types. An antagonist decoy receptor (designated as TRID for TRAIL receptor without an intracellular domain) that may explain the resistant phenotype of normal tissues was identified. TRID is a distinct gene product with an extracellular TRAIL-binding domain and a transmembrane domain but no intracellular signaling domain. TRID transcripts were detected in many normal human tissues but not in most cancer cell lines examined. Ectopic expression of TRID protected mammalian cells from TRAIL-induced apoptosis, which is consistent with a protective role. Another death domain–containing receptor for TRAIL (designated as death receptor–5), which preferentially engaged a FLICE (caspase-8)–related death protease, was also identified.

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 · 10.1126/science.277.5327.815

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 1,496

Metadata

Authors
Pan, G., Ni, J., Wei, Y.-F., Yu, G.-L., Gentz, R., & Dixit, V. M.
Venue
Science
Published
1997-08-08
Volume
277
Issue
5327
Pages
815-818
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2089476060
Cited by
1,496
References
2
FWCI
28.12
Type
journal article
Language
en
Open access
closed

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: An Antagonist Decoy Receptor and a Death Domain-Containing Receptor for TRAIL. https://app.cochat.ai/papers/10.1126/science.277.5327.815
The paper
Pan, G., Ni, J., Wei, Y.-F., Yu, G.-L., Gentz, R., & Dixit, V. M. (1997). An Antagonist Decoy Receptor and a Death Domain-Containing Receptor for TRAIL. Science. https://doi.org/10.1126/science.277.5327.815

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.