Nanoarrays vs Microarrays

Microarrays have become indispensable for high-throughput analysis. However, microarrays are now being superseded by nanoarrays, which have a higher sensitivity and a simpler methodology.

Microarrays have provided unprecedented benefits for researchers for many years, but are now being superseded by nanoarrays,Andre Nantel | Shutterstock

What is a microarray?

Microarrays are used to detect the expression of a diverse range of thousands of genes. They include microscopic slides that can be printed with a spot of a known sequence of DNA. This sequence then acts as a probe to detect the expression of specific genes.

While performing the analysis, reference mRNA is collected and converted to a complementary DNA sequence. Each sample is then labeled with a specific fluorescent probe. For example, the experimental sample is labeled with a red dye, and reference DNA is labeled with green dye. These samples are then allowed to bind to the microarray slide.

After hybridization, the process through which the complementary sequences bind to each other, the microarray can be scanned, and the gene expression can be quantified. If the gene expression is higher in the experimental sample, the spot may appear red. Whereas, in cases when the expression in the experimental sample is lower, the spot may appear to be green.

Limitations of microarrays

Although the microarray has become a mainstay for parallel screening of several nucleic acids and proteins, it has several disadvantages. It requires large sample volumes and long incubation times because of the larger spot size compared with nanoarrays. Microarrays are also limited by detection sensitivity.  

Traditional microarrays also require large and bulky instruments, and sample preparation requires a large amount of effort during the amplification and labelling stages. All of these processes take time and are expensive. These disadvantages also lead to difficulties in transferring these detection methods to point-of-care applications.

What are nanoarrays?

Nanoarrays utilize an array of biological molecules that are present in micron or sub-micron sized spots. In this method, one hundred molecular binding sites can be placed in the area that is usually occupied by one microarray spot. The nanoarray can have a spot as small as 500 nm, up to a spot of 2–3 microns in diameter.

Nanoreaders

A nanoreader is an atomic force microscope that is specifically built for the reading of nanoarrays. This is required due to the ultra-miniaturization of nanoarrays. In an atomic force microscope, a sharp probe scans the surface and records the probe and surface interactions. This allows the probe to detect both topography and chemical interactions. This microscope can also operate in solutions. Using this method, an entire nanoarray can be evaluated in 5 to 10 minutes.

What are the advantages of nanoarrays?

Nanomaterials can provide several advantages with respect to sensitivity, specificity, speed, portability, throughput, and cost. These advantages are accorded due to their small size, which leads to a large surface-to-volume ratio. The physical properties are also chemically tailorable in relation to size, composition, and shape.

Nanoarrays possess highly specific target-binding properties and structural robustness. Also, it is an almost completely automated process that reduces the need for skilled manpower, expertise in performing the process, and personnel costs. As the method proceeds in physiological environments, it provides biologically relevant information.

How are nanoarrays currently being used?

The field of diagnostics is leading the way in terms of using nanoarrays routinely. Being able to carry out diagnostic tests using a small, multiplex assay is extremely beneficial. Multiplex assays can fit onto a single chip, reducing the cost and labor involved in the diagnosis of disease.

The fields of proteomics and drug discovery are also benefitting from the development of nanoarrays, which allow large scale screening of molecular interactions and drug activity. A large number of target molecules can be immobilized and interaction can be tested with potential molecular partners with reduced reagent and personnel costs.

Further Reading

Last Updated: Apr 15, 2019

Dr. Surat P

Written by

Dr. Surat P

Dr. Surat graduated with a Ph.D. in Cell Biology and Mechanobiology from the Tata Institute of Fundamental Research (Mumbai, India) in 2016. Prior to her Ph.D., Surat studied for a Bachelor of Science (B.Sc.) degree in Zoology, during which she was the recipient of an Indian Academy of Sciences Summer Fellowship to study the proteins involved in AIDs. She produces feature articles on a wide range of topics, such as medical ethics, data manipulation, pseudoscience and superstition, education, and human evolution. She is passionate about science communication and writes articles covering all areas of the life sciences.  

Citations

Please use one of the following formats to cite this article in your essay, paper or report:

  • APA

    P, Surat. (2019, April 15). Nanoarrays vs Microarrays. News-Medical. Retrieved on October 31, 2024 from https://www.news-medical.net/life-sciences/Nanoarrays-vs-Microarrays.aspx.

  • MLA

    P, Surat. "Nanoarrays vs Microarrays". News-Medical. 31 October 2024. <https://www.news-medical.net/life-sciences/Nanoarrays-vs-Microarrays.aspx>.

  • Chicago

    P, Surat. "Nanoarrays vs Microarrays". News-Medical. https://www.news-medical.net/life-sciences/Nanoarrays-vs-Microarrays.aspx. (accessed October 31, 2024).

  • Harvard

    P, Surat. 2019. Nanoarrays vs Microarrays. News-Medical, viewed 31 October 2024, https://www.news-medical.net/life-sciences/Nanoarrays-vs-Microarrays.aspx.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Will it soon be possible for doctors to use AI to detect and diagnose cancer?