Using a Next-Generation Sequencing Approach to Profile MicroRNAs from Human Origin

Area of Science:

• Molecular Biology
• Bioinformatics
• Genomics

Background:

• Next-generation sequencing (NGS) offers high-throughput interrogation of nucleotide composition.
• NGS is widely applicable for profiling microRNAs from diverse biological sources like tissues, cells, and body fluids.
• The technique is becoming increasingly accessible in standard laboratories.

Purpose of the Study:

• To outline laboratory-based sample preparation methods for NGS.
• To provide an in-depth description of bioinformatics and data analysis techniques for NGS data.
• To address the primary bottleneck in NGS workflows: data analysis.

Main Methods:

• Laboratory protocols for sample preparation for NGS.
• Bioinformatic pipelines for processing and analyzing NGS data.
• Statistical and computational methods for interpreting sequencing results.

Main Results:

• Established protocols for preparing diverse biological samples for NGS.
• Detailed methodologies for analyzing complex NGS datasets.
• Identification of key challenges and solutions in NGS data interpretation.

Conclusions:

• NGS is a powerful, accessible tool for molecular profiling.
• Bioinformatics and data analysis represent the critical bottleneck in NGS.
• Effective data analysis strategies are essential for maximizing the utility of NGS technology.