Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 214

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Imaging transcriptional regulation of p53-dependent genes with positron emission tomography in vivo

Open access
Doubrovin, Michael, Ponomarev, Vladimir, Beresten, Tatiana, Balatoni, Julius, Bornmann, William, Finn, Ronald, Humm, John, Larson, Steven, Sadelain, Michel, Blasberg, Ronald, Gelovani Tjuvajev, Juri·2001·Proceedings of the National Academy of Sciences

Abstract

A noninvasive method for molecular imaging of the activity of different signal transduction pathways and the expression of different genes in vivo would be of considerable value. It would aid in understanding the role specific genes and signal transduction pathways have in various diseases, and could elucidate temporal dynamics and regulation at different stages of disease and during various therapeutic interventions. We developed and assessed a method for monitoring the transcriptional activation of endogenous genes by positron-emission tomography (PET) imaging. The HSV1-tk / GFP ( TKGFP ) dual reporter gene was used to monitor transcriptional activation of p53-dependent genes. A retrovirus bearing the Cis -p53/TKGFP reporter system was constructed in which the TKGFP reporter gene was placed under control of an artificial cis-acting p53-specific enhancer. U87 glioma and SaOS-2 osteosarcoma cells were transduced with this retrovirus and used to establish xenografts in rats. We demonstrated that DNA damage-induced up-regulation of p53 transcriptional activity correlated with the expression of p53-dependent downstream genes, such as p21, in U87 (wild-type p53), but not in SaOS-2 osteosarcoma (p53 −/−) cells. We showed that PET, with [ 124 I]FIAU (2′-fluoro-2′-deoxy-1-β- d -arabinofuranosyl-5-[ 124 I]iodouracil) and the Cis -p53TKGFP reporter system, is sufficiently sensitive to image the transcriptional regulation of genes in the p53 signal transduction pathway. These imaging results were confirmed by independent measurements of p53 activity and the expression levels of downstream genes (e.g., p21) by using conventional molecular-biological assays. PET imaging of p53 transcriptional activity in tumor xenografts by using the Cis -p53TKGFP reporter system may be useful in assessing novel therapeutic approaches.

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 · 10.1073/pnas.161091198

Cites

3 of 3 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 3 references

Cited by

See all 214

Metadata

Authors
Doubrovin, M., Ponomarev, V., Beresten, T., Balatoni, J., Bornmann, W., Finn, R., Humm, J., Larson, S., Sadelain, M., Blasberg, R., & Gelovani Tjuvajev, J.
Venue
Proceedings of the National Academy of Sciences
Published
2001-07-31
Volume
98
Issue
16
Pages
9300-9305
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2163324192
Cited by
214
References
3
FWCI
23.00
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: Imaging transcriptional regulation of p53-dependent genes with positron emission tomography in vivo. https://app.cochat.ai/papers/10.1073/pnas.161091198
The paper
Doubrovin, M., Ponomarev, V., Beresten, T., Balatoni, J., Bornmann, W., Finn, R., Humm, J., Larson, S., Sadelain, M., Blasberg, R., & Gelovani Tjuvajev, J. (2001). Imaging transcriptional regulation of p53-dependent genes with positron emission tomography in vivo. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.161091198

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.