Learn how to leverage the latest technologies available from Life Technologies with these useful technical resources for epigenetics and noncoding RNA research.

DNA Methylation and Chromatin Analysis Resources:

 

Application Notes and Technical Guides

High Resolution Methylation (HRM) Analysis

This quick-reference card provides brief procedures for performing an HRM study using MeltDoctor™ HRM Master Mix.

Methylation Analysis Using Methylation-Sensitive HRM and DNA Sequencing

This application note discusses studying DNA methylation with HRM, followed by DNA sequencing.

Getting Started with Bisulfite Primer Design

The Methyl Primer Express® Software v1.0 Getting Started Guide provides step-by-step instructions for using Methyl Primer Express software to find CpG islands and design primers for methylation-focused experiments.

CE Bisulfite Sequencing Guide

This guide reviews the key steps, considerations, and products for targeted bisulfite capillary sequencing.

DNA Methylation Enrichment Deep Sequencing Using NGS Technology

This application note describes a genome-scale study on the patterns of DNA methylation in the MCF-7 breast cancer cell line, using enrichment with the MethylMiner™ system upstream of sequencing.

 

 

 

Posters

DNA Methylome Sequencing: Methylated DNA Enrichment with Next-Generation Sequencing by Ligation

Direct Bisulfite Conversion from Archived Tumor Samples for Methylation Detection

 

 

 

Webinars

DNA Methylation Enrichment and Sequencing

Listen to Dr. Gavin Meredith discuss the advantages of MBD-based DNA methylation affinity enrichment combined with next-generation sequencing.

Noncoding RNA Analysis Resources:

Application Notes and Technical Guides
Noncoding RNA Characterization with TaqMan® ncRNA Assay
This application note discusses how to leverage TaqMan® ncRNA Assays to better understand the role of larger, noncoding RNAs in gene regulation.
miRNA Profiling Experimental Planning
Get advice on sample size for experiments, review data analysis methods and tools, and review successful microRNA (miRNA) profiling experiments to learn more about any special equipment necessary.

Choosing Endogenous Controls for Real-Time Quantitation
This application note provides guidelines on selecting the optimal endogenous controls for your miRNA qRT-PCR experiments.

Databases and Software
NCode™ Profiler Software
An advanced experimental design and analysis solution designed for two-dye expression profiling microarray experiments. The software minimizes inherent challenges with miRNA array design and data analysis.

Webinars

miRNA Expression in Cancer
Life Technologies scientist Mark Landers discusses approaches for successful miRNA profiling experiments in cancer.

miRNA in Human Embryonic Stem Cell (hESC) Differentiation
Life Technologies scientist Mark Landers reviews the role miRNA appears to play in hESC differentiating and effective approaches for profiling miRNA in these samples.

 

Posters

microRNA Quantitation by Real-Time PCR
240 Real-time PCR miRNA assays were designed and tested on low-abundance, heat-treated cells. Data showed that this method provides accurate and sensitive miRNA expression profiling, which can be used to identify potential miRNA markers specific to tissues or diseases.

TaqMan® Assay-Based miRNA Profiles Classify Embryonic Stem and Differentiated Cells
Researchers used a large panel of TaqMan® MicroRNA Assays to quantify miRNA expression levels in four mouse embryonic stem cell lines and their differentiated embryoid bodies, along with six normal mouse tissues.
High Correlation of miRNA Quantitation Data from Matched FFPE and Snap-Frozen Tissues using TaqMan® MicroRNA Assays
This application note describes the successful isolation and detection of miRNAs from formalin-fixed, paraffin-embedded (FFPE) samples and demonstrates the accurate and robust measurement of miRNA expression from comparable snap-frozen samples using TaqMan® MicroRNA Assays.
miRNA Expression Profiling in Brain Tumor by Real-Time PCR
A significant difference in miRNA expression was evident between normal and GM tumor samples.