CELL-FREE DNA - BIOTECHNOLOGY

News: Cell-free DNA promises to transform how we find diseases

 

What's in the news?

     Cell-free DNA (cfDNA) is a useful technique that is being used by researchers all over the world to better understand human diseases and enhance diagnosis, monitoring, and prognosis.

 

What is Cell-free DNA?

     Small nucleic acid fragments known as CfDNA are discovered in bodily fluids outside of cells after being discharged from cells.

     It was initially noticed in the blood of pregnant women in the late 1940s, which is when it was first discovered.

     Cell death and other physiological processes, for example, can both manufacture and release cfDNA from the cells.

     Several disease processes, including autoimmune conditions like systemic lupus erythematosus, are linked to the release of cfDNA.


How is Cell Free DNA different from Normal DNA?

Cell Free DNA

Normal DNA

It is found in the bloodstream and other fluids present in the body.

Found within the cell nucleus or mitochondria.

It is used in Forensic for DNA profiling and investigations.

It is not used in Forensic.

It exists in Fragmented form.

It exists in the form of a double helix structure.

It can be used in detecting infectious diseases.

It is not used for detecting infectious diseases.

 

Applications of cfDNA:

1. Non-Invasive Prenatal Testing: 

       One of the most widely used applications of cfDNA has been in screening foetuses for specific chromosomal abnormalities.

       The availability of affordable genome-sequencing approaches will allow clinicians to sequence cfDNA fragments that correspond to foetal DNA.

       They can then use it to understand specific chromosomal abnormalities that involve changes in the chromosomal copy number.

       Such changes can lead to conditions like Down’s syndrome, which is due to a change in chromosome 21.

2. Monitoring Cancer:

       Researchers have developed a new test they have dubbed ‘Genome-wide Mutational Incidence for Non-Invasive detection of cancer’, or ‘GEMINI’.

       This is a type of genetic mutation that, when combined with machine-learning approaches, could provide a way to detect cancer early.

       Using a particular machine-learning model, some genomic data, and data from a computed tomography (CT) scan, the researchers could successfully detect lung cancer.

       It was discovered to be able to identify over 300 people who had a very high risk of acquiring lung cancer.

3. Organ Transplantation:

       Using cfDNA applications, it may be possible to determine why the body is rejecting a transplanted organ. Here, donor-derived cfDNA, also known as dd-cfDNA, can be used to obtain an early yet precise estimation of how well the organ is being assimilated.

4. Other Uses:

       CfDNA could be employed as a biomarker for metabolic diseases like type 2 diabetes and non-alcoholic fatty liver disease, as well as neurological disorders like Alzheimer's disease, neuronal tumors, stroke, and traumatic brain damage.