Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 173

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

The Induction of Virus-Specific CTL as a Function of Increasing Epitope Expression: Responses Rise Steadily Until Excessively High Levels of Epitope Are Attained

Wherry, E John, Puorro, Kristin A, Porgador, Angel, Eisenlohr, Laurence C·1999·The Journal of Immunology

Abstract

The role of epitope expression levels in CD8+ T cell priming has been controversial. Yet this parameter is of great importance in the design of rational approaches to optimize CTL responses to a variety of pathogens. In this paper we examine the influence of epitope production on CD8+ T cell priming by exploiting a system that allows a 200-fold range of cell surface epitope expression in vitro with a fixed dose of vaccinia virus. Our results demonstrate that, with the exception of a notable decline at the highest level of epitope, the magnitude of the responding CTL population generated in vivo following equivalent viral infections is essentially proportional to epitope density.

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 · 10.4049/jimmunol.163.7.3735

Cites

1 of 1 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 1 references

Cited by

See all 173

Metadata

Authors
Wherry, E. J., Puorro, K. A., Porgador, A., & Eisenlohr, L. C.
Venue
The Journal of Immunology
Published
1999-10-01
Volume
163
Issue
7
Pages
3735-3745
ISSN
  • 0022-1767 (ISSN-L)
  • 1550-6606
OpenAlex
W4313422268
Cited by
173
References
1
FWCI
1.60
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: The Induction of Virus-Specific CTL as a Function of Increasing Epitope Expression: Responses Rise Steadily Until Excessively High Levels of Epitope Are Attained. https://app.cochat.ai/papers/10.4049/jimmunol.163.7.3735
The paper
Wherry, E. J., Puorro, K. A., Porgador, A., & Eisenlohr, L. C. (1999). The Induction of Virus-Specific CTL as a Function of Increasing Epitope Expression: Responses Rise Steadily Until Excessively High Levels of Epitope Are Attained. The Journal of Immunology. https://doi.org/10.4049/jimmunol.163.7.3735

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.