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Tagging and Fusion Proteins

Tagging and Fusion Proteins

Proteins are involved in several cellular processes and biochemical reactions. Analyzing a specific protein of interest requires it to be isolated from the other proteins in the cell. This is achieved by overexpressing the specific gene in a suitable host to produce large quantities of the target protein. A tag or label is recombined with the gene to produce a fusion protein containing the target protein and the tag. The tags on these fusion proteins can then be used for easy detection and...

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Chromatin Immunoprecipitation- ChIP

Chromatin immunoprecipitation, or ChIP, is an antibody-based technique used to identify sites on DNA that bind to transcription factors of interest or histone proteins. It also helps determine the type of histone modifications such as acetylation, phosphorylation, or methylation.
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Gene Conversion

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Commonly used fusion techniques — electroporation, polyethylene glycol...

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Related Experiment Video

Updated: Jun 18, 2026

CAPRRESI: Chimera Assembly by Plasmid Recovery and Restriction Enzyme Site Insertion

CAPRRESI: Chimera Assembly by Plasmid Recovery and Restriction Enzyme Site Insertion

Published on: June 25, 2017

ChimerDB 2.0--a knowledgebase for fusion genes updated.

Pora Kim¹, Suhyeon Yoon, Namshin Kim

¹Division of Life and Pharmaceutical Sciences, Ewha Research Center for Systems Biology, Ewha Womans University, Seoul 120-750, Korea.

Nucleic Acids Research

|November 13, 2009

Summary

This summary is machine-generated.

ChimerDB 2.0 enhances fusion gene discovery using a sensitive new algorithm, identifying 2699 high-confidence fusion transcripts. This updated knowledgebase aids in finding cancer biomarkers and drug targets.

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Last Updated: Jun 18, 2026

CAPRRESI: Chimera Assembly by Plasmid Recovery and Restriction Enzyme Site Insertion

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Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations

Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations

Published on: August 4, 2016

Area of Science:

Genomics
Bioinformatics
Cancer Research

Background:

Gene fusions and chromosome translocations are common in human tumors.
Existing databases provide valuable, but often fragmented, information on fusion genes.

Purpose of the Study:

To update and improve ChimerDB, a knowledgebase for fusion genes.
To enhance the identification and analysis of fusion transcripts and genomic rearrangements.

Main Methods:

Developed a novel, highly sensitive algorithm for fusion transcript identification.
Integrated data from diverse public resources including GenBank, Sanger CGP, OMIM, PubMed, and Mitelman's database.
Incorporated analysis of next-generation sequencing data and developed a new alignment viewer.

Main Results:

Identified 2699 high-confidence fusion transcripts.
The new algorithm detects interchromosomal translocations and intrachromosomal rearrangements.
Improved user interface for enhanced searchability and browsing, particularly for PubMed articles.

Conclusions:

ChimerDB 2.0 provides a comprehensive and improved resource for fusion gene research.
The enhanced capabilities facilitate the identification of potential cancer biomarkers and therapeutic targets.
The updated platform supports deeper investigation into the reliability and functional significance of fusion transcripts.