ArticleMolecular imaging and biology2010
In vivo bioluminescence imaging of murine xenograft cancer models with a red-shifted thermostable luciferase.
Article in Molecular imaging and biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed, 27 citations in OpenAlex.
- Biochemical Analysis Leads to Improved Orthogonal Bioluminescent Tools.Chembiochem : a European journal of chemical biology · 2023Article
- Application of Genetically Encoded Molecular Imaging Probes in Tumor Imaging.Contrast media & molecular imaging · 2022Review
- Article
- Hepa1-6-FLuc cell line with the stable expression of firefly luciferase retains its primary properties with promising bioluminescence imaging ability.Oncology letters · 2018Article
- Click beetle luciferase mutant and near infrared naphthyl-luciferins for improved bioluminescence imaging.Nature communications · 2018Article
- SAMHD1 modulates in vitro proliferation of acute myeloid leukemia-derived THP-1 cells through the PI3K-Akt-p27 axis.Cell cycle (Georgetown, Tex.) · 2018Article
- Proteasome and heat shock protein 70 (HSP70) inhibitors as therapeutic alternative in multiple myeloma.Oncotarget · 2017Article
- Hepatoblastoma: A Need for Cell Lines and Tissue Banks to Develop Targeted Drug Therapies.Frontiers in pediatrics · 2016Review
- A synthetic luciferin improves bioluminescence imaging in live mice.Nature methods · 2014Article
- Bioluminescence imaging of leukemia cell lines in vitro and in mouse xenografts: effects of monoclonal and polyclonal cell populations on intensity and kinetics of photon emission.Journal of hematology & oncology · 2013Article
- Comparison of red-shifted firefly luciferase Ppy RE9 and conventional Luc2 as bioluminescence imaging reporter genes for in vivo imaging of stem cells.Journal of biomedical optics · 2012Article
- Article
- In vivo bioluminescent imaging (BLI): noninvasive visualization and interrogation of biological processes in living animals.Sensors (Basel, Switzerland) · 2011Review
- In vivo imaging of hydrogen peroxide production in a murine tumor model with a chemoselective bioluminescent reporter.Proceedings of the National Academy of Sciences of the United States of America · 2010Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeConventional in vivo bioluminescence imaging using wild-type green-emitting luciferase is limited by absorption and scattering of the bioluminescent signal through tissues. Imaging methods using a red-shifted thermostable luciferase from Photinus pyralis were optimized to improve the sensitivity and image resolution. In vivo bioluminescence imaging performance of red- and green-emitting luciferases were compared in two different xenograft mouse models for cancer.
methodsHuman hepatoblastoma cell line (HepG2) and human acute monocytic leukemia cell line (Thp1) cells were genetically engineered using retroviral vector technology to stably express the red-shifted or the wild-type green luciferase. A xenograft model of liver cancer was established by subcutaneous injection of the HepG2-engineered cells in the flank regions of mice, and a leukemia model was generated by intravenous injection of the engineered Thp1 cells. The cancer progression was monitored with an ultrasensitive charge-coupled device camera. The relative intensities of the green- and red-emitting luciferases were measured, and the resulting spatial resolutions of the images were compared. Imaging was performed with both intact and scarified live animals to quantify the absorption effects of the skin and deep tissue.
resultsThe red-emitting luciferase was found to emit a bioluminescence signal with improved transmission properties compared to the green-emitting luciferase. By imaging the HepG2 models, which contained tumors just beneath the skin, before and after scarification, the percentage of light absorbed by the skin was calculated. The green bioluminescent signal was 75 +/- 8% absorbed by the skin, whereas the red signal was only 20 +/- 6% absorbed. The Thp1 model, which contains cancer cells within the bones, was likewise imaged before and after scarification to calculate the percentage of light absorbed by all tissue under the skin. This tissue was responsible for 90 +/- 5% absorption of the green signal, but only 65 +/- 6% absorption of the red signal.
conclusionTwo different bioluminescent mouse cancer models demonstrate the utility of a new red-shifted thermostable luciferase, Ppy RE-TS, that improved the in vivo imaging performance when compared with wild-type P. Pyralis luciferase. While wild-type luciferase is currently a popular reporter for in vivo imaging methods, this study demonstrates the potential of red-emitting firefly luciferase mutants to enhance the performance of bioluminescence imaging experiments.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.