Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 583

The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.

Measuring HIV Neutralization in a Luciferase Reporter Gene Assay

Montefiori, David C.·2009·Methods in Molecular Biology

Abstract

Neutralizing antibody (NAb) assays for human immunodeficiency virus (HIV) are used to study the immune response in infected individuals, to examine monoclonal antibodies and viral diversity, and to judge the potential value of candidate vaccine immunogens in preclinical and clinical trials. An important aspect of these efforts is an ability to achieve and document equivalent assay performance across multiple laboratories. Recent advances in assay technology have led to major improvements in how HIV NAbs are measured. Stable cell lines containing HIV Tat-regulated reporter genes are now available that permit rapid, sensitive and reproducible measurements of virus neutralization after a single round of infection in a high throughput format.Moreover, these assays may be used with molecularly cloned Env-pseudotyped viruses for greater reagent stability and traceability.A luciferase (Luc) reporter gene assay performed in TZM-bl (JC53bl-13) cells was recently optimized and many of its performance parameters have been validated. This assay has become the main endpoint neutralization assay used by the NIH-sponsored HIV Vaccine Trials Network and by a growing number of laboratories worldwide.

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 · 10.1007/978-1-59745-170-3_26

Cites

21 of 21 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 21 references

Cited by

See all 583

Metadata

Authors
Montefiori, D. C.
Venue
Methods in Molecular Biology
Publisher
Humana Press
Published
2009
Volume
485
Pages
395-405
ISSN
  • 1064-3745 (ISSN-L)
  • 1940-6029
OpenAlex
W30316958
Cited by
583
References
21
FWCI
26.93
Type
book chapter
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: Measuring HIV Neutralization in a Luciferase Reporter Gene Assay. https://app.cochat.ai/papers/10.1007/978-1-59745-170-3_26
The paper
Montefiori, D. C. (2009). Measuring HIV Neutralization in a Luciferase Reporter Gene Assay. Methods in Molecular Biology. https://doi.org/10.1007/978-1-59745-170-3_26

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.