Literature DB >> 11355337

Visualization of GFP-expressing tumors and metastasis in vivo.

R M Hoffman1.   

Abstract

We have developed mouse models of metastatic cancer with genetically fluorescent tumors that can be imaged in fresh tissue, in situ, as well as externally. To achieve this capability, we have transduced the green fluorescent protein (GFP) gene, cloned from the bioluminescent jellyfish Aequorea victoria, into a series of human and rodent cancer cell lines that were selected in vitro to stably express GFP in vivo after transplantation to metastatic rodent models. Techniques were also developed for transduction of tumors by GFP in vivo. With this fluorescent tool, we detected and visualized for the first time tumors and metastasis in fresh viable tissue or in situ in host organs down to the single-cell level. GFP tumors on the colon, prostate, breast, brain, liver, lymph nodes, lung, pancreas, bone, and other organs can also be visualized externally, transcutaneously by quantitative whole-body fluorescence optical imaging. Real-time tumor and metastatic growth and angiogenesis and inhibition by representative drugs can be imaged and quantified for rapid antitumor, antimetastatic, and antiangiogenesis drug screening. The GFP-transfected tumor cells enabled a fundamental advance in the visualization of tumor growth and metastasis in real time in vivo.

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Year:  2001        PMID: 11355337     DOI: 10.2144/01305bi01

Source DB:  PubMed          Journal:  Biotechniques        ISSN: 0736-6205            Impact factor:   1.993


  17 in total

1.  Differential experimental micrometastasis to lung, liver, and bone with lacZ-tagged CWR22R prostate carcinoma cells.

Authors:  Julianne L Holleran; Carson J Miller; Nancy L Edgehouse; Theresa P Pretlow; Lloyd A Culp
Journal:  Clin Exp Metastasis       Date:  2002       Impact factor: 5.150

2.  Generation of a syngeneic mouse model to study the effects of vascular endothelial growth factor in ovarian carcinoma.

Authors:  Lin Zhang; Nuo Yang; Jose-Ramon Conejo Garcia; Alisha Mohamed; Fabian Benencia; Stephen C Rubin; David Allman; George Coukos
Journal:  Am J Pathol       Date:  2002-12       Impact factor: 4.307

3.  Confocal fluorescence microscope with dual-axis architecture and biaxial postobjective scanning.

Authors:  Thomas D Wang; Christopher H Contag; Michael J Mandella; Ning Y Chan; Gordon S Kino
Journal:  J Biomed Opt       Date:  2004 Jul-Aug       Impact factor: 3.170

4.  Optical techniques for tracking multiple myeloma engraftment, growth, and response to therapy.

Authors:  Judith M Runnels; Alicia L Carlson; Costas Pitsillides; Brian Thompson; Juwell Wu; Joel A Spencer; John M J Kohler; AbdelKareem Azab; Anne-Sophie Moreau; Scott J Rodig; Andrew L Kung; Kenneth C Anderson; Irene M Ghobrial; Charles P Lin
Journal:  J Biomed Opt       Date:  2011 Jan-Feb       Impact factor: 3.170

5.  Multispectral fluorescence ultramicroscopy: three-dimensional visualization and automatic quantification of tumor morphology, drug penetration, and antiangiogenic treatment response.

Authors:  Michael Dobosz; Vasilis Ntziachristos; Werner Scheuer; Steffen Strobel
Journal:  Neoplasia       Date:  2014-01       Impact factor: 5.715

Review 6.  Tumor microvasculature and microenvironment: novel insights through intravital imaging in pre-clinical models.

Authors:  Dai Fukumura; Dan G Duda; Lance L Munn; Rakesh K Jain
Journal:  Microcirculation       Date:  2010-04       Impact factor: 2.628

7.  MDA-MB-435 human breast carcinoma metastasis to bone.

Authors:  John F Harms; Danny R Welch
Journal:  Clin Exp Metastasis       Date:  2003       Impact factor: 5.150

8.  Implantable tissue isolation chambers for analyzing tumor dynamics in vivo.

Authors:  Gabriel Gruionu; Despina Bazou; Nir Maimon; Mara Onita-Lenco; Lucian G Gruionu; Peigen Huang; Lance L Munn
Journal:  Lab Chip       Date:  2016-04-29       Impact factor: 6.799

Review 9.  Imaging angiogenesis and the microenvironment.

Authors:  Dai Fukumura; Rakesh K Jain
Journal:  APMIS       Date:  2008 Jul-Aug       Impact factor: 3.205

10.  Automated quantitative image analysis for ex vivo metastasis assays reveals differing lung composition requirements for metastasis suppression by KISS1.

Authors:  Eric D Young; Kyle Strom; Ashley F Tsue; Joseph L Usset; Seth MacPherson; John T McGuire; Danny R Welch
Journal:  Clin Exp Metastasis       Date:  2018-03-26       Impact factor: 5.150

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