Genetic analysis

DNA and genes

DNA stands for “deoxyribonucleic acid.” It is a substance that makes up human genetic information and other components. Within DNA, there are four types of bases: A (adenine), T (thymine), G (guanine), and C (cytosine). The differences in their combinations (base sequences) give rise to various traits such as appearance, personality, and physical health in people.

 

This DNA also exists in sperm and egg cells, and it is responsible for passing on parental characteristics to their children through a process called “inheritance.” The factors that determine this inheritance are known as “genes.” Genes are specific sequences located in certain regions of DNA that play a role in determining an organism’s traits. While DNA refers to the material that constitutes base sequences, genes specifically refer to functional sequences within it.

 

On the other hand, the term “genome” encompasses all the base sequences of an organism’s DNA, including not only genes but also various functional sequences. The human genome consists of approximately 3 billion base pairs and has been fully decoded.

DNAと遺伝子

What is genetic analysis?

Genetic analysis refers to deciphering the base sequence of DNA and investigating how specific genes are expressed in cells and tissues. It involves examining the presence or absence of genetic mutations related to particular diseases, predicting future disease risks, and evaluating an individual’s genetic predisposition. Additionally, genetic analysis can detect viral marker gene sequences within the body, aiding in infectious disease testing.

 

Genetic analysis plays a crucial role in modern medicine. For instance, identifying genetic mutations responsible for various conditions such as cancer or rare diseases enables informed diagnostic and treatment choices. Pre-treatment genetic testing also allows personalized medicine by providing drugs that are highly effective and have minimal side effects based on an individual’s genetic makeup. Furthermore, understanding inherent traits and susceptibility to certain illnesses can contribute to preventive healthcare.

Methods used in genetic analysis

In genetic analysis, methods such as amplifying genes, quantifying them, and decoding their sequences are used for analysis. The following methods are used in the analysis:

qPCR (quantitative polymerase chain reaction)

qPCR, also known as “Real-time PCR,” monitors the amplification process by PCR in real time. It quantitatively measures the expression level of target genes.

 

①: For gene expression measurement using qPCR, several methods are available. For example, in the intercalator method, specific primers for the target gene, dNTPs, and a fluorescent dye that binds to DNA are prepared.

②: The fluorescent dye binds to the double-stranded DNA amplified by PCR, emitting strong fluorescence.

③: The fluorescence intensity increases exponentially as PCR cycles progress and the amount of DNA increases.

④: Based on the cycle number at which the fluorescence intensity reaches a certain threshold, the initial gene quantity can be estimated.

 

qPCR allows relatively simple and cost-effective analysis focused on specific genes, enabling detection of pathogens and SNP analysis.

Figure 1: Measurement flow of qPCR

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Digital PCR

Digital PCR is a measurement method that allows the acquisition of the absolute amount of gene expression.

 

①, ②: Mix nucleic acid samples with the reaction solution and distribute them into multiple tiny wells.

③: Perform independent PCR reactions in each well.

④: In wells where the target gene is present, DNA is amplified, emitting a fluorescent signal. Since amplified and non-amplified wells are clearly separated like 0/1 digital data, it is possible to accurately quantify the copy number of the target gene in the original sample by counting them.

 

For digital PCR, a highly sensitive detector is required to accurately quantify the absolute amount of the target gene.

Figure2: Measurement flow of the Digital PCR

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DNA microarray

A DNA microarray refers to a chip where tens of thousands to hundreds of thousands of different short single-stranded DNA fragments (DNA probes) are densely immobilized on a substrate such as glass or silicon. Microarray technology allows comprehensive analysis of gene expression in cells and tissues.

 

First, mRNA extracted from the sample is used as a template to synthesize cDNA using reverse transcriptase, which is then labeled with a fluorescent dye. Subsequently, the labeled cDNA is added to the microarray, where it hybridizes with complementary sequences on the DNA microarray. Finally, any unbound cDNA is washed away, and the fluorescence intensity at each spot is measured to analyze gene expression.

Figure 3: Measurement flow of the DNA microarray

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Sanger sequencing

Sanger sequencing is a sequencing method that analyzes the DNA base sequence using the Sanger method. The Sanger method, developed by Frederick Sanger in 1977, has been widely used as a standard technique for genetic analysis over the years.

 

The process of the Sanger method involves first amplifying the target DNA using PCR. Then, a template DNA strand is prepared. Next, dNTPs and fluorescently labeled ddNTPs are added for extension reactions. The extension reaction stops at the position where ddNTPs are incorporated, resulting in fragments of various lengths. These fragments are separated by electrophoresis in order of length, and the fluorescent wavelength originating from the final base of each fragment is detected to determine the sequence. In a single reaction, it is possible to accurately read a sequence of approximately 800 to 1000 bases.

Figure 4: Measurement flow of the Sanger sequencing

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Next-generation sequencing

Next-generation sequencing is an analytical method that utilizes next-generation sequencers capable of rapidly and massively reading the DNA base sequences. In contrast to the conventional Sanger method, which could only read sequences of several hundred to several thousand base pairs in a single reaction, next-generation sequencers can simultaneously decode tens of millions to hundreds of billions of short DNA fragments (reads) at once. As a result, it is now possible to efficiently analyze the entire genome’s sequence.

 

Second-generation next-generation sequencers typically operate based on the principles of synthesizing DNA clusters and detecting fluorescent signals:

 

①: The DNA to be sequenced is fragmented into small pieces, and adapters are attached to both ends of each DNA fragment.

②: These adapters allow the DNA fragments to be immobilized on a substrate or beads, enabling local DNA amplification and cluster formation.

③④: Fluorescently labeled modified nucleotides (four types) are used for extension reactions on the clustered DNA fragments. The fluorescence is detected using a camera or other detectors.

 

By repeating this cycle multiple times, it becomes possible to rapidly read a large number of base sequences.

Figure 5: Measurement flow of the next-generation sequencing

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FISH (fluorescence in situ hybridization)

FISH is a technique that visualizes the location and expression of target genes on cells and tissue sections by binding fluorescently labeled probes to the target genes using fluorescent substances.

 

①: Prepare a fluorescently labeled probe with a complementary base sequence to the target gene.

②: After fixing and permeabilizing tissue sections or cells, denature the DNA at high temperature.

③: Promote hybridization (binding) between the probe and the target DNA and RNA.

④: After hybridization, wash away excess probes and observe using a fluorescence microscope. Cells containing the target gene exhibit specific fluorescent signals due to probe binding.

Figure 6: Measurement flow of the FISH

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Topics: Spatial biology

In recent years, spatial biology, which incorporates spatial information alongside gene analysis of isolated cells or bulk states, has gained attention.

In spatial biology, it is possible to detect gene and protein expression with high sensitivity on tissue sections and acquire spatial mapping data. Specifically, applications such as analyzing heterogeneity in cancer tissues and profiling gene expression during developmental processes are expected. These tools are valuable not only in drug discovery but also in regenerative medicine.

Our high-sensitivity cameras and detectors are widely adopted in spatial omics analysis systems, contributing to the acquisition of high-quality spatial data.

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