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Applications of Microarray-Based Technologies in Identifying Disease-Associated Single Nucleotide Variations

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Microbial Genomics in Sustainable Agroecosystems

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Abstract

The analysis of a multitude of genes in one shot has been made possible with the introduction of microarrays to the scientific community. Microarrays are microscopic slides that are printed with thousands of tiny spots with each spot containing a specific nucleotide (known DNA). These nucleotides act as probes to detect the expression of the desired gene (mRNA). With growing scientific knowledge over the years, microarrays have found applications in a plethora of research specializations such as gene discovery, mutational analysis, detection of single nucleotide polymorphisms, identification and detection of microorganisms, and detection of clinical conditions such as cancer, heart diseases, neurological disorders, etc. Detection and diagnosis of such clinical conditions are now relatively easy with techniques such as microarrays, and timely therapeutic intervention is now no more a farfetched dream. Microarrays are these days being used to their full potential as elucidated by a variety of studies suggesting that the utility of microarrays will continue to grow in the forthcoming years as viable detection and identification methods.

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Authors and Affiliations

  1. Amity Institute of Biotechnology, Amity University, Noida, Uttar Pradesh, India

    Sartaj Khurana & Sudeep Bose

  2. Amity Institute of Molecular Medicine & Stem Cell Research, Amity University, Noida, Uttar Pradesh, India

    Sartaj Khurana & Dhruv Kumar

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  1. Sartaj Khurana
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  2. Sudeep Bose
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  3. Dhruv Kumar
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Correspondence to Dhruv Kumar .

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Editors and Affiliations

  1. Department of Molecular and Cellular Engineering, Sam Higginbottom University of Agriculture Technology and Sciences, Allahabad, Uttar Pradesh, India

    Vijay Tripathi

  2. Department of Forestry, North Eastern Regional Institute of Science and Technology (NERIST), Nirjuli, Arunachal Pradesh, India

    Pradeep Kumar

  3. Department of Computational Biology and Bioinformatics, Sam Higginbottom University of Agriculture, Technology and Sciences, Allahabad, Uttar Pradesh, India

    Pooja Tripathi

  4. Department of Botany, Kamla Nehru P.G. College, Raebareli, Uttar Pradesh, India

    Amit Kishore

  5. Department of Forestry, North Eastern Regional Institute of Science and Technology (NERIST), Nirjuli, Arunachal Pradesh, India

    Madhu Kamle

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Khurana, S., Bose, S., Kumar, D. (2019). Applications of Microarray-Based Technologies in Identifying Disease-Associated Single Nucleotide Variations. In: Tripathi, V., Kumar, P., Tripathi, P., Kishore, A., Kamle, M. (eds) Microbial Genomics in Sustainable Agroecosystems. Springer, Singapore. https://doi.org/10.1007/978-981-32-9860-6_4

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