Literature DB >> 19967724

Bioluminescent imaging: a critical tool in pre-clinical oncology research.

Karen O'Neill1, Scott K Lyons, William M Gallagher, Kathleen M Curran, Annette T Byrne.   

Abstract

Bioluminescent imaging (BLI) is a non-invasive imaging modality widely used in the field of pre-clinical oncology research. Imaging of small animal tumour models using BLI involves the generation of light by luciferase-expressing cells in the animal following administration of substrate. This light may be imaged using an external detector. The technique allows a variety of tumour-associated properties to be visualized dynamically in living models. The increasing use of BLI as a small-animal imaging modality has led to advances in the development of xenogeneic, orthotopic, and genetically engineered animal models expressing luciferase genes. This review aims to provide insight into the principles of BLI and its applications in cancer research. Many studies to assess tumour growth and development, as well as efficacy of candidate therapeutics, have been performed using BLI. More recently, advances have also been made using bioluminescent imaging in studies of protein-protein interactions, genetic screening, cell-cycle regulators, and spontaneous cancer development. Such novel studies highlight the versatility and potential of bioluminescent imaging in future oncological research. Copyright 2009 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.

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Year:  2010        PMID: 19967724     DOI: 10.1002/path.2656

Source DB:  PubMed          Journal:  J Pathol        ISSN: 0022-3417            Impact factor:   7.996


  66 in total

1.  Metastatic potential of cancer stem cells in head and neck squamous cell carcinoma.

Authors:  Samantha J Davis; Vasu Divi; John H Owen; Carol R Bradford; Thomas E Carey; Silvana Papagerakis; Mark E P Prince
Journal:  Arch Otolaryngol Head Neck Surg       Date:  2010-12

2.  Systematic calibration of an integrated x-ray and optical tomography system for preclinical radiation research.

Authors:  Yidong Yang; Ken Kang-Hsin Wang; Sohrab Eslami; Iulian I Iordachita; Michael S Patterson; John W Wong
Journal:  Med Phys       Date:  2015-04       Impact factor: 4.071

3.  Acquisition models in intraoperative positron surface imaging.

Authors:  Frédéric Monge; Dzhoshkun I Shakir; Florence Lejeune; Xavier Morandi; Nassir Navab; Pierre Jannin
Journal:  Int J Comput Assist Radiol Surg       Date:  2016-10-06       Impact factor: 2.924

4.  Evaluation of tumor ischemia in response to an indole-based vascular disrupting agent using BLI and (19)F MRI.

Authors:  Heling Zhou; Rami R Hallac; Ramona Lopez; Rebecca Denney; Matthew T MacDonough; Li Li; Li Liu; Edward E Graves; Mary Lynn Trawick; Kevin G Pinney; Ralph P Mason
Journal:  Am J Nucl Med Mol Imaging       Date:  2015-01-15

Review 5.  New frontiers and developing applications in 19F NMR.

Authors:  Jian-Xin Yu; Rami R Hallac; Srinivas Chiguru; Ralph P Mason
Journal:  Prog Nucl Magn Reson Spectrosc       Date:  2012-11-02       Impact factor: 9.795

6.  Modeling Spontaneous Metastasis following Surgery: An In Vivo-In Silico Approach.

Authors:  Sebastien Benzekry; Amanda Tracz; Michalis Mastri; Ryan Corbelli; Dominique Barbolosi; John M L Ebos
Journal:  Cancer Res       Date:  2015-10-28       Impact factor: 12.701

Review 7.  Imaging strategies for tissue engineering applications.

Authors:  Seung Yun Nam; Laura M Ricles; Laura J Suggs; Stanislav Y Emelianov
Journal:  Tissue Eng Part B Rev       Date:  2014-08-19       Impact factor: 6.389

8.  In vivo bioluminescent tracking of mesenchymal stem cells within large hydrogel constructs.

Authors:  Ashley B Allen; Zulma Gazit; Susan Su; Hazel Y Stevens; Robert E Guldberg
Journal:  Tissue Eng Part C Methods       Date:  2014-04-03       Impact factor: 3.056

9.  Interleukin-17 promotes metastasis in an immunocompetent orthotopic mouse model of prostate cancer.

Authors:  David Cunningham; Qiuyang Zhang; Sen Liu; Keshab R Parajuli; Qiang Nie; Lin Ma; Allen Zhang; Zhenbang Chen; Zongbing You
Journal:  Am J Clin Exp Urol       Date:  2018-06-15

Review 10.  Choosing The Right Animal Model for Renal Cancer Research.

Authors:  Paweł Sobczuk; Anna Brodziak; Mohammed Imran Khan; Stuti Chhabra; Michał Fiedorowicz; Marlena Wełniak-Kamińska; Kamil Synoradzki; Ewa Bartnik; Agnieszka Cudnoch-Jędrzejewska; Anna M Czarnecka
Journal:  Transl Oncol       Date:  2020-02-22       Impact factor: 4.243

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