Literature DB >> 34395808

Qualitative in vivo bioluminescence imaging.

Devbarna Sinha1, Zalitha Pieterse2, Pritinder Kaur1,2.   

Abstract

Bioluminescence imaging (BLI) technology is an advanced method of carrying out molecular imaging on live laboratory animals in vivo. This powerful technique is widely-used in studying a variety of biological processes, and it has been an ideal tool in exploring tumor growth and metastatic spread in real-time. This technique ensures the optimal use of laboratory animal resources, particularly the ethical principle of reduction in animal use, given its non-invasive nature, ensuring that ongoing biological processes can be studied over time in the same animal, without the need to euthanize groups of mice at specific time points. In this protocol, the luciferase imaging technique was developed to study the effect of co-inoculating pericytes (contractile, αSMA+ mesenchymal stem cell-like cells, located abluminally in microvessels) on the growth and metastatic spread of ovarian cancers using an aggressive ovarian cancer cell line-OVCAR-5-as an example.
Copyright © 2018 The Authors; exclusive licensee Bio-protocol LLC.

Entities:  

Keywords:  Bioluminescence; Luciferase Imaging; Metastasis; Ovarian cancer; Tumor imaging

Year:  2018        PMID: 34395808      PMCID: PMC8328644          DOI: 10.21769/BioProtoc.3020

Source DB:  PubMed          Journal:  Bio Protoc        ISSN: 2331-8325


  5 in total

1.  A clearer vision for in vivo imaging.

Authors:  R Weissleder
Journal:  Nat Biotechnol       Date:  2001-04       Impact factor: 54.908

2.  In vivo imaging of light-emitting probes.

Authors:  B W Rice; M D Cable; M B Nelson
Journal:  J Biomed Opt       Date:  2001-10       Impact factor: 3.170

Review 3.  Use of reporter genes for optical measurements of neoplastic disease in vivo.

Authors:  C H Contag; D Jenkins; P R Contag; R S Negrin
Journal:  Neoplasia       Date:  2000 Jan-Apr       Impact factor: 5.715

4.  Lentivirus-mediated bifunctional cell labeling for in vivo melanoma study.

Authors:  Chi-Ping Day; John Carter; Carrie Bonomi; Dominic Esposito; Bruce Crise; Betty Ortiz-Conde; Melinda Hollingshead; Glenn Merlino
Journal:  Pigment Cell Melanoma Res       Date:  2009-01-19       Impact factor: 4.693

5.  Pericytes Promote Malignant Ovarian Cancer Progression in Mice and Predict Poor Prognosis in Serous Ovarian Cancer Patients.

Authors:  Devbarna Sinha; Lynn Chong; Joshy George; Holger Schlüter; Susann Mönchgesang; Stuart Mills; Jason Li; Christopher Parish; David Bowtell; Pritinder Kaur
Journal:  Clin Cancer Res       Date:  2015-11-20       Impact factor: 12.531

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.