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Updated: Feb 2, 2026

PAR-CliP - A Method to Identify Transcriptome-wide the Binding Sites of RNA Binding Proteins
Published on: July 2, 2010
Genome-Wide Analysis for Identifying FOXO Protein-Binding Sites
Dong-Ju Shin1, Pujan Joshi2, Dong-Guk Shin2
1Department of Physiology and Neurobiology, University of Connecticut, Storrs, CT, USA. dong-ju.shin@uconn.edu.
This study details a protocol for chromatin immunoprecipitation followed by high-throughput sequencing (ChIP-seq). This method identifies DNA-binding protein targets, crucial for understanding gene regulation and biological processes.
Area of Science:
- Molecular Biology
- Genomics
- Cell Biology
Background:
- Forkhead box O (FOXO) proteins are key transcription factors regulating diverse biological processes.
- Understanding gene expression regulation requires identifying cis-regulatory elements.
- Transcription factors control gene expression by binding to specific DNA sequences.
Purpose of the Study:
- To provide a detailed protocol for preparing ChIP-seq samples.
- To facilitate the identification of cis-regulatory elements genome-wide.
- To support the analysis of regulatory networks involving transcription factors like FOXO.
Main Methods:
- Chromatin immunoprecipitation (ChIP) to isolate DNA-protein complexes.
- High-throughput sequencing (ChIP-seq) to identify DNA-binding sites genome-wide.
- Detailed sample preparation for subsequent sequencing and data analysis.
Main Results:
- A comprehensive protocol for ChIP-seq sample preparation is described.
- The protocol enables the identification of cis-regulatory elements bound by transcription factors.
- The method is applicable to genome-wide analysis of DNA-binding proteins.
Conclusions:
- The described ChIP-seq protocol is essential for studying transcription factor binding and gene regulation.
- This methodology aids in elucidating the regulatory mechanisms controlled by FOXO proteins and other DNA-binding proteins.
- Accurate sample preparation is critical for reliable ChIP-seq data analysis and understanding biological regulatory networks.
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