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Identification of Circular RNAs using RNA Sequencing
Published on: November 14, 2019
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Considerations for RNA-seq analysis of circadian rhythms
Jiajia Li1, Gregory R Grant2, John B Hogenesch3
1Department of Biology, University of Missouri-St. Louis, St. Louis, Missouri, USA.
Methods in Enzymology
|February 10, 2015
Summary
This study provides practical recommendations for using RNA sequencing to identify clock-controlled genes (CCGs) involved in circadian rhythms. These guidelines help researchers optimize experiments and analyze complex genomic data for better understanding of daily biological oscillations.
Area of Science:
- Molecular Biology
- Genomics
- Chronobiology
Background:
- Circadian rhythms govern daily physiological and behavioral cycles.
- Molecular basis involves core clock genes and clock-controlled genes (CCGs).
- Identifying CCGs is crucial for understanding circadian clock influence on health.
Purpose of the Study:
- To provide practical recommendations for studying circadian rhythms using genome-scale transcriptional profiling.
- To address technical challenges associated with RNA sequencing in circadian research.
- To guide researchers in designing experiments for analyzing large, complex circadian datasets.
Main Methods:
- Discussion of considerations for RNA sequencing in circadian studies.
- Emphasis on practical recommendations for experimental design.
- Utilizing computational simulations and prior research experience.
Main Results:
- Recommendations cover sampling density, read depth, alignment, normalization, and cycling detection algorithms.
- Guidelines are based on computational simulations and empirical experience.
- Aimed at improving the analysis of rhythmically expressed mRNAs.
Conclusions:
- RNA sequencing offers powerful tools for circadian biology research.
- Adhering to recommended practices enhances data quality and interpretation.
- Facilitates systematic identification and characterization of CCGs.
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