Overview

This detailed volume presents a comprehensive bioinformatic and experimental toolbox for prioritizing, annotating, and functionally analyzing long non-coding RNAs (lncRNAs). Playing a vital role in diverse biological progresses and human disease, lncRNAs have proven to be a challenging subject of study due to our limited understanding of their sequence-function relationships, lack of complete genetic annotation, and the unavailability of systems required to define their functional importance and molecular mechanisms, all of which this book seeks to address. Written for the highly successful Methods in Molecular Biology series, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.  Authoritative and practical, Functional Analysis of Long Non-Coding RNAs: Methods and Protocols provides atimely and convenient resource to facilitate the identification and characterization of disease-associated human lncRNAs, which aims to shed light on their role in biology and pathophysiology and ultimately lead toward novel therapeutic approaches targeting lncRNAs for the amelioration of human diseases.

Full Product Details

Author:   Haiming Cao
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   1st ed. 2021
Volume:   2254
Weight:   0.699kg
ISBN:  

9781071611609

ISBN 10:   1071611607
Pages:   351
Publication Date:   18 December 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Bioinformatics Approaches for Functional Prediction of Long Non-Coding RNAs.- Visualization of lncRNA and mRNA Structure Models within the Integrative Genomics Viewer.- RNA Coding Potential Prediction Using Alignment-Free Logistic Regression Model.- Classification of Long Non-Coding RNAs by K-mer Content.- Genome-Wide Computational Analysis and Validation of Potential Long Non-Coding RNA-Mediated DNA-DNA:RNA Triplexes in the Human Genome.- Using INFERNO to Infer the Molecular Mechanisms Underlying Non-Coding Genetic Associations.- A Bioinformatic Pipeline to Integrate GWAS and eQTL Datasets to Identify Disease Relevant Human Long Non-Coding RNAs.- AnnoLnc: A One-Stop Portal to Systematically Annotate Novel Human Long Non-Coding RNAs.- Annotation of Full-Length Long Non-Coding RNAs with Capture Long-Read Sequencing (CLS).- Single-Cell Analysis of Long Non-Coding RNAs (lncRNAs) in Mouse Brain Cells.- Detection and Characterization of Ribosome-Associated Long Non-Coding RNAs.- Analysis ofAnnotated and Unannotated Long Non-Coding RNAs from Exosome Subtypes Using Next-Generation RNA Sequencing.- DMS-MaPseq for Genome-Wide or Targeted RNA Structure Probing In Vitro and In Vivo.- Labeling and Purification of Temporally Expressed RNAs during the S-Phase of the Cell Cycle in Living Cells.- A Quick Immuno-FISH Protocol for Detecting RNAs, Proteins, and Chromatin Modifications.- M(R)apping RNA-Protein Interactions.- In Vivo Administration of Therapeutic Antisense Oligonucleotides.- CRISPR-Mediated Mutagenesis of Long Non-Coding RNAs.- In Vivo CRISPR/Cas9-Based Targeted Disruption and Knock-In of a Long Non-Coding RNA.- Genome-Scale Perturbation of Long Non-Coding RNA Expression Using CRISPR Interference.- In Vivo Functional Analysis of Non-Conserved Human lncRNAs Using a Humanized Mouse Model.

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