Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 477

The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.

Early Programming of T Cell Populations Responding to Bacterial Infection

Mercado, Roberto, Vijh, Sujata, Allen, S Elise, Kerksiek, Kristen, Pilip, Ingrid M, Pamer, Eric G·2000·The Journal of Immunology

Abstract

The duration of infection and the quantity of Ag presented in vivo are commonly assumed to influence, if not determine, the magnitude of T cell responses. Although the cessation of in vivo T cell expansion coincides with bacterial clearance in mice infected with Listeria monocytogenes, closer analysis suggests that control of T cell expansion and contraction is more complex. In this report, we show that the magnitude and kinetics of Ag-specific T cell responses are determined during the first day of bacterial infection. Expansion of Ag-specific T lymphocyte populations and generation of T cell memory are independent of the duration and severity of in vivo bacterial infection. Our studies indicate that the Ag-specific T cell response to L. monocytogenes is programmed before the peak of the innate inflammatory response and in vivo bacterial replication.

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.165.12.6833

Cites

39 of 39 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 39 references

Cited by

See all 477

Metadata

Authors
Mercado, R., Vijh, S., Allen, S. E., Kerksiek, K., Pilip, I. M., & Pamer, E. G.
Venue
The Journal of Immunology
Published
2000-12
Volume
165
Issue
12
Pages
6833-6839
ISSN
  • 0022-1767 (ISSN-L)
  • 1550-6606
OpenAlex
W2141205048
Cited by
477
References
39
FWCI
7.99
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: Early Programming of T Cell Populations Responding to Bacterial Infection. https://app.cochat.ai/papers/10.4049/jimmunol.165.12.6833
The paper
Mercado, R., Vijh, S., Allen, S. E., Kerksiek, K., Pilip, I. M., & Pamer, E. G. (2000). Early Programming of T Cell Populations Responding to Bacterial Infection. The Journal of Immunology. https://doi.org/10.4049/jimmunol.165.12.6833

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.