Literature DB >> 23646346

Label-free methods of reporting biomolecular interactions by optical biosensors.

Marimuthu Citartan1, Subash C B Gopinath, Junji Tominaga, Thean-Hock Tang.   

Abstract

Reporting biomolecular interactions has become part and parcel of many applications of science towards an in-depth understanding of disease and gene regulation. Apart from that, in diagnostic applications where biomolecules (antibodies and aptamers) are vastly applied, meticulous monitoring of biomolecular interaction is vital for clear-cut diagnosis. Several currently available methods of analyzing the interaction of the ligands with the appropriate analytes are aided by labeling using fluorescence or luminescence techniques. However, labeling is cumbersome and can occupy important binding sites of interactive molecules to be labeled, which may interfere with the conformational changes of the molecules and increase non-specificity. Optical-based sensing can provide an alternative way as a label-free procedure for monitoring biomolecular interactions. Optical sensors affiliated with different operating principles, including surface plasmon changes, scattering and interferometry, can impart a huge impact for in-house and point-of-care applications. This optical-based biosensing permits real-time monitoring, obviating the use of hazardous labeling molecules such as radioactive tags. Herein, label-free ways of reporting biomolecular interactions by various optical biosensors were gleaned.

Mesh:

Year:  2013        PMID: 23646346     DOI: 10.1039/c3an36828a

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


  22 in total

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Review 2.  Aptahistochemistry in diagnostic pathology: technical scrutiny and feasibility.

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Review 7.  Advances and challenges in biosensor-based diagnosis of infectious diseases.

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Journal:  Expert Rev Mol Diagn       Date:  2014-02-13       Impact factor: 5.225

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10.  Structure-Based Design of Head-Only Fusion Glycoprotein Immunogens for Respiratory Syncytial Virus.

Authors:  Jeffrey C Boyington; M Gordon Joyce; Mallika Sastry; Guillaume B E Stewart-Jones; Man Chen; Wing-Pui Kong; Joan O Ngwuta; Paul V Thomas; Yaroslav Tsybovsky; Yongping Yang; Baoshan Zhang; Lei Chen; Aliaksandr Druz; Ivelin S Georgiev; Kiyoon Ko; Tongqing Zhou; John R Mascola; Barney S Graham; Peter D Kwong
Journal:  PLoS One       Date:  2016-07-27       Impact factor: 3.240

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