Sequencing nucleic acid molecules provides us with the genetic instructions required for life. This sequencing now enables us to sequence the human genome.
The concept of sequencing started in the 1970s. It stems from the works of Walter Fiers, Ray Wu, and Frederick Sanger. Commercial DNA sequencers were produced in the 1990s and called the next generation sequencers (NGS).
Single-cell sequencing was one of the breakthroughs of these sequencing methods.
Note: To learn more about single-cell sequencing, we can visit here.
There are different types of single-cell sequencing based on what they measure. These are:
Single-cell genome sequencing
Single-cell transcriptome sequencing
Single-cell methylome sequencing
Single-cell genome sequencing comprises isolating a single cell, processing and amplifying the whole genome, constructing the sequence libraries, and applying next-generation sequencing techniques. It is also called genome sequencing.
There are over a hundred methods available for this. These include the following:
Single-cell DNA template strand sequencing (Strand-seq): This method helps discover genomic structural variations. It enables the discovery of a full spectrum of structural variation classes on a
Multiple displacement amplification (MDA): This widely-used method allows the amplification of different weights of the DNA. It requires reagents: DNA polymerase, and random primers for
Multiple annealing and looping-based amplification cycles (MALBAC): This method is similar to MDA, but the primers are covered with a common sequence for the downstream polymerase chain reaction (PCR). This common sequence enables self-
Single-cell genome sequencing has the following applications:
It helps obtain microbial genome sequences without cultivation.
It is used in cancer sequencing.
Single-cell transcriptome sequencing (scRNA-seq) helps us express profiles of singular cells. It is considered one of the best methods for describing phenotypes and cell states.
This method involves isolating cells and their RNA, the
Recent progress in this sequencing allows the encapsulation of individual cells in a microfluidic device. Here, the RNA is converted to
For the amplification step, we use a polymerase chain reaction (PCR) or in vitro transcription (IVT), and produce libraries.
Single-cell transcriptome sequencing has the following applications:
Data from this sequencing method is used to increase the signal-to-noise ratio in machine learning models.
It helps determine heterogeneity across a population.
It helps in cluster analyses.
It provides insight for the development of organisms.
It is used across neurology, oncology, immunology, and infectious diseases, and cardiovascular research.
Single-cell methylome sequencing is based on the
4mC 4-methylcytosine
6-methyladenine
5-hydroxymethylcytosine
5-methylcytosine
There are two methods for single-cell methylone sequencing. These are as follows:
Single-cell reduced representation bisulfite sequencing (scRRBS): This method uses one or multiple restriction enzymes on the DNA. This produces sequence-specific fragmentation of the DNA. We then treat this fragmented DNA with bisulfite, and sequence it. This method tends methylated cytosines to cluster at
Bisulfite sequencing: Bisulfite sequencing is a primary method of sequencing 5-methylcytosine using singular cells. This method requires the treatment of the DNA with bisulfite. This converts the obtained cytosine residues into uracil, but leaves behind the 5-methylcytosine unaffected. Then, the treated sequence is aligned to an unmodified genome to obtain a readout. We add adapters after the bisulfite fragmentation process is done on the DNA. This allows the amplification of the fragments due to PCR.
Single-cell methylome sequencing has the following applications:
It helps us explore the epigenetic differences in similar cells.
It helps us identify distinct cell types by hierarchal classification.
It helps the emergence of different cell types from a singular embryo.
It helps us study rare but active cell types in cancer.
Free Resources