Author(s)

Anjali Sharma, Barkha Singhal^*

School of Biotechnology, Gautam Buddha University, Greater Noida (U.P.), India.

The phenomenal rise in the demand of biosensors accelerated their rapid development and immersive applications in the myriads of fields. The essential requirement of developing efficient bio-sensing platform is to find stable well organized interfacial architecture that can serve as an excellent matrix for binding and recognizing biomolecules. In this context, the enormous potential has been envisaged in surface layer proteins that represented themselves as most primitive and simplest self-assembled system with repetitive physicochemical properties for the molecular functionalization of surfaces and various interfaces. The prominence of S-layer proteins has been broadened by integrating genetic engineering approaches for the fine tuning of functional groups and protein domains in geometrically well-defined manner. The efficient and stable binding of various nanomaterials with S-layers in regular arrays has led to paradigmatic shift in their nano-biotechnological sensing applications. More recently, functional S-layer supported lipid membranes have been generated through covalent binding of lipid molecules either with native or recombinant S-layer proteins at nano-scale dimensions serving as “proof of concept” for the development of bio-sensing platform. Thus, in the light of benefits conferred by surface layer proteins for the development of highly efficient biosensors, an exciting path has been opened for broadening their translational applications in drug delivery, disease diagnosis, vaccines development, lab-on-chip devices etc. Therefore, this review intends to describe about the importance of surface layer proteins in the development of biosensors.

Surface Layer Proteins, Nano-Patterning, Self-Assembly, Liposome, Biosensors

Sharma, A. and Singhal, B. (2019) Bacterial Surface Layer Proteins: A Promising Nano-Technological Tool for Bio-Sensing Applications. Advances in Bioscience and Biotechnology, 10, 42-58. doi: 10.4236/abb.2019.103004.