Next-generation sequencing (NGS)
Precision medicine, also known as personalized medicine, is an approach to patient care that allows doctors to select treatments most likely to help patients based on a genetic understanding of their disease. Next-generation sequencing (NGS), a transformative technology, is used to sequence DNA and RNA rapidly and cost-effectively. It has revolutionized genomics research and clinical diagnostics by enabling the analysis of entire genomes, transcriptomes, and epigenomes with unprecedented speed and depth. Here is a breakdown of how NGS works and its applications:
NGS process:
- Library Preparation: This initial step involves preparing the DNA or RNA sample for sequencing. The DNA or RNA molecules are fragmented into smaller pieces, typically using enzymes or physical methods such as sonication. Adapters, which are short DNA sequences containing sequences complementary to the sequencing primers, are then ligated to the ends of the fragments. These adapters serve as attachment points for the sequencing primers and help amplify and sequence the DNA or RNA.
- Clonal Amplification: Once the library is prepared, the next step is to create millions of identical copies, or clones, of the DNA fragments. This process is known as clonal amplification and is typically carried out on a solid surface, such as a glass slide or a flow cell. There are various clonal amplification methods, the most common being polymerase chain reaction (PCR) amplification and bridge amplification.
- PCR Amplification: In this method, the DNA fragments are attached to a solid support, such as magnetic beads or a slide surface. PCR is then used to amplify the fragments, creating clusters of identical DNA molecules.
- Bridge Amplification: This method is commonly used in Illumina sequencing platforms. DNA fragments are attached to a solid surface and then amplified using bridge PCR. During bridge amplification, the DNA fragments bind to complementary DNA molecules on the surface and form clusters. Each cluster contains thousands of identical DNA molecules.
- Sequencing: Once clonal amplification is complete, the sequencing process begins. Several different sequencing-by-synthesis (SBS) methods are used in NGS. However, they all share a common principle: the sequential addition of nucleotides to the growing DNA strand, with each incorporation detected and recorded.
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- Illumina Sequencing: In Illumina sequencing, fluorescently labeled nucleotides are added one at a time to the growing DNA strand. As each nucleotide is incorporated, a camera captures an image of the fluorescent signal emitted by the nucleotide. The signal is then decoded to determine the sequence of the DNA fragment.
- Ion Torrent Sequencing: In Ion Torrent sequencing, nucleotides are added to the DNA template, and if the added nucleotide is complementary to the template, a hydrogen ion (H+) is released. A sensor detects the release of H+, and the sequence of the DNA fragment is determined based on the order of H+ release.
- Nanopore Sequencing: Nanopore sequencing passes a single-stranded DNA molecule through a protein nanopore embedded in a membrane. As the DNA molecule passes through the nanopore, individual nucleotides disrupt the ion current flowing through the pore, allowing the identification of each nucleotide.
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- Data Analysis: The sequencer’s raw data must be processed and analyzed once sequencing is complete. This typically involves several steps, including base calling, alignment or assembly of the sequences to a reference genome or transcriptome, variant calling, and interpretation of the results. Bioinformatics tools and software are used for data analysis, and the resulting data is often stored in specialized databases for further analysis and interpretation.
NGS Applications:
- Genomic Research: NGS is used to study genetic variation, such as single nucleotide polymorphisms (SNPs), copy number variations (CNVs), and structural variants, which can be associated with diseases or traits. For instance, NGS has been instrumental in identifying genetic mutations that increase the risk of certain cancers.
- Clinical Diagnostics: NGS enables the identification of disease-causing mutations in patients with genetic disorders, cancer, and infectious diseases. It is also used for pharmacogenomics to guide personalized medicine.
- Transcriptomics: RNA sequencing (RNA-Seq) allows the quantification of gene expression levels, detection of alternative splicing events, and discovery of novel transcripts.
- Epigenomics: NGS can map DNA methylation patterns, histone modifications, and chromatin accessibility, providing insights into gene regulation and epigenetic mechanisms.
- Metagenomics: NGS is used to analyze microbial communities in environmental samples, the human microbiome, and infectious disease outbreaks.
Advances in NCG:
- Short-Read Sequencing: Platforms such as Illumina sequencing generate short reads of 50-300 base pairs, suitable for most applications.
- Long-Read Sequencing: Technologies like Pacific Biosciences (PacBio) and Oxford Nanopore Technologies (ONT) produce longer reads, up to tens of kilobases, enabling the assembly of complex genomes and the detection of structural variants.
- Single-Cell Sequencing: NGS can sequence the genomes or transcriptomes of individual cells, providing insights into cellular heterogeneity and developmental processes.
- Spatial Transcriptomics: This emerging technology combines NGS with spatially resolved imaging to map gene expression patterns within tissues.
Challenges ahead of NGS:
- Data Analysis: NGS generates large volumes of data that require sophisticated bioinformatics pipelines for processing and interpretation. This can be a significant challenge, as the analysis of NGS data requires specialized skills and computational resources.
- Quality Control: Errors in sequencing, such as base-calling inaccuracies and PCR biases, can affect the accuracy of results.
- Cost: While sequencing has decreased dramatically, data storage and analysis remain significant expenses, particularly for large-scale projects.
In summary, NGS has transformed our ability to study the genome, transcriptome, and epigenome, driving advancements in basic research, clinical diagnostics, and personalized medicine. As technologies evolve, NGS is poised to play an increasingly central role in understanding the complexities of biology and disease. For example, the development of long-read sequencing technologies holds promise for more comprehensive genome analysis. Pic by free Freepik.