Post-Transcriptional Gene Regulation (Methods in Molecular Biology Book 2404) 3rd Edition

Description

Post-Transcriptional Gene Regulation (Methods in Molecular Biology Book 2404) 3rd Edition

Master modern RNA biology techniques with Post‑Transcriptional Gene Regulation, the third edition of Volume 2404 in the prestigious Methods in Molecular Biology series. Edited by Erik Dassi, this authoritative 411‑page resource features advanced protocols and expert guidance essential for researchers studying post‑transcriptional gene regulation (PTR) in eukaryotic systems.

🔍 Key Features & Highlights:

• Comprehensive Coverage – Includes 23 state‑of‑the‑art protocols throughout focused sections: the RNA lifecycle; transcript stability; RNA modifications; and interactomics.

• Modern RNA Methods – Techniques such as DMS‑MaPseq for in‑vivo RNA structure probing; transcriptome‑wide RNA stability profiling; FACS‑uORF quantitation; and m6A/m5C/RiboOxi‑Seq mapping of RNA modifications.

• Expert Troubleshooting – Each chapter includes essential notes and tips from leading researchers to ensure reproducible results in complex laboratory workflows.

• Interdisciplinary Utility – Ideal for RNA biologists, systems biologists, bioinformaticians, and molecular geneticists focused on biomarker discovery and RNA regulation dynamics.

🧬 Why This Book Is Essential

Post‑transcriptional regulation governs gene expression beyond transcription: through RNA splicing, modification, stability, localization, and translation control. This volume bridges protocols with experimentation and bioinformatics, including RNA expression profiling, interactome capture, and network modeling. It equips research teams with tools to dissect RNA-based regulatory networks across species and disease models.

🎯 Who Should Buy This Book?

• Graduate students and postdoctoral researchers in RNA biology and genetics

• Academic faculty and core lab personnel conducting high‑throughput RNA assays

• Translational and systems biologists working with ncRNA, mRNA modifications, and interactomics

• Bioinformatics teams integrating wet‑lab and computational RNA data pipelines

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