Volume 9, Issue 3 (Vol.9 No.3 Oct 2020)                   rbmb.net 2020, 9(3): 264-269 | Back to browse issues page

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Chellathurai Vasantha N, Selvan J R S, Venkatachalam S, Selvan Christyraj J D. Novel and Efficient Protocol for DNA Coating- Based Identification of DNA-Protein Interaction by Antibody-Mediated Immunodetection. rbmb.net. 2020; 9 (3) :264-269
URL: http://rbmb.net/article-1-510-en.html
Regeneration and Stem Cell Biology Lab, Centre for Molecular and Nanomedical Sciences, International Research Centre, Sathyabama Institute of Science and Technology, Chennai, Tamilnadu, India.
Abstract:   (365 Views)
Background: Studying protein-protein and protein-DNA interactions are prerequisites for the identification of function and mechanistic role of various proteins in the cell. Protocols for analyzing DNA-based Protein-Protein and Protein-DNA interactions are complicated and need to be simplified for efficient tracking of binding capabilities of various proteins to specific DNA molecules. Here, we demonstrated a simple yet efficient protocol for the identification of DNA coating-based Protein-DNA interaction using antibody-mediated immunodetection.

Methods: Briefly, we have coated specific DNA in the microtiter plate followed by incubating with protein lysate. Specific protein-DNA and/or protein-protein bind with DNA interactions are identified using specific fluorophore-conjugated antibodies. Antibodies are used to detect a protein that is bound to the DNA.

Results: Fluorescent-based detection identifies the specific interaction between Protein-DNA with respect to coated DNA fragments. The protocol uses indirect conjugated antibodies and hence the technique is sensitive for effective identification of Protein-DNA interactions.

Conclusions: Based on the results we conclude that the demonstrated protocol is simple, efficient and sensitive for identification of Protein-DNA interactions.
Full-Text [PDF 864 kb]   (113 Downloads)    
Type of Article: Original Article | Subject: Molecular Biology
Received: 2020/05/30 | Accepted: 2020/06/10 | Published: 2020/12/1

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