28 research outputs found

    Bioelectronic Noses Based on Olfactory Receptors

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    ๋‚˜๋…ธ๋””์Šคํฌ ๋ฐ ๋‚˜๋…ธ๋ฒ ์ง€ํด์— ๋‚ด์žฅ๋œ ํ›„๊ฐ ์ˆ˜์šฉ์ฒด์˜ ์ตœ์ ์˜ ์ƒ์‚ฐ๊ณผ ๋ƒ„์ƒˆ์˜ ํŒจํ„ด ๋ฐ ์‹œ๊ฐํ™”์— ๋Œ€ํ•œ ์‘์šฉ

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ํ™”ํ•™์ƒ๋ฌผ๊ณตํ•™๋ถ€, 2022. 8. ๋ฐ•ํƒœํ˜„.G protein-coupled receptors (GPCRs) are the most intensively studied for screening drug targets. Especially, class A GPCR including olfactory receptor (OR) which accounts for about 85 % of GPCR family is more important for codifying and screening target receptors. There are about 400 kinds of ORs in human olfactory system. The interactions between ORs and odorants generate signals which are transferred to brain as combinatorial codes. Humans can discriminate more than 1 trillion olfactory stimuli with a limited number of ORs because of widespread OR-driven modulation such as inhibition and enhancement in peripheral olfactory coding. Since the sense of smell perceives the complex external world as a pattern, many studies have been conducted to mimic the response of ORs. In particular, protein-based nanobiosensor is expected as a platform to mimic the olfaction because it has advantages such as mass production, ease of reuse, and low cost. However, reconstitution of the structure of GPCRs is challenging because almost all GPCRs produced in E. coli system are expressed as inclusion bodies. For this reason, reconstitution techniques have been developed to recover the functionality of GPCRs, such as the use of detergent micelles, nanovesicles, bicelles and nanodiscs (NDs). Among these materials, NDs have been considered the most effective reconstitution material because of their stability in various environments and their functional lifetimes. In this thesis, ORs were produced in E. coli system with high productivity and reconstituted to ND or nanovesicle forms. Then the functional reconstituted ORs were applied to monitoring meat freshness/spoilage, disease diagnosis and practical colorimetric sensor. First, OR was overexpressed by coexpressing effector genes, such as djlA, the membrane-bound DnaK cochaperone, and rraA, inhibitor of the mRNA-degrading activity of E. coli RNase E. The E. coli strains coexpressing DjlA or RraA suppressed protein-induced toxicity and overexpressed the ORs. By controlling the molar ratio of OR, membrane scaffold protein, and phospholipid, ND of appropriate size were made, and high-purity ND could be purified. OR-embedded NDs showed stability to various temperature and storage time. Second, Human ORs which bind to gastric cancer and halitosis biomarkers were successfully reconstituted to ND form and purified. The NDs had various patterns to artificial saliva samples because NDs had various binding affinities to target molecules. Through principal component analysis of various patterns for artificial saliva samples, it was possible to distinguish between healthy control samples and patient samples. Third, trace amine-associated receptors (TAARs), TAAR13c and TAAR13d, were successfully overexpressed in E. coli system and reconstituted to ND form. These NDs were utilized for development of ND-based BE-nose for monitoring meat freshness. The ND-based BE-noses was successfully performed towards diverse on-site and the various real samples and could be used to monitor freshness of meat. Lastly, human OR1A2 (hOR1A2) was reconstituted into detergent micelle and it was used for development of colorimetric sensor detecting geraniol. Polydiacetylene (PDA) was used as secondary transducer for visualization of responses of OR. The structural and functional properties of the hOR1A2 were maintained when it was embedded in PDA/lipid nanovesicles. The hOR1A2 embedded in PDA/lipid nanovesicle caused a color transition from blue to purple when it reacted with geraniol, whereas there was no color transition when it reacted with other molecules. In this study, various ORs were successfully reconstituted with ND or nanovesicles. The reconstructed OR is expected to be applied to food freshness monitoring, disease diagnosis by pattern analysis, and practical colorimetric sensors.G ๋‹จ๋ฐฑ์งˆ ์—ฐ๊ฒฐ ์ˆ˜์šฉ์ฒด (GPCR)๋Š” ์•ฝ๋ฌผ ํ‘œ์  ์Šคํฌ๋ฆฌ๋‹์„ ์œ„ํ•ด ๊ฐ€์žฅ ์ง‘์ค‘์ ์œผ๋กœ ์—ฐ๊ตฌ๋˜๋Š” ๋‹จ๋ฐฑ์งˆ์ด๋‹ค. ํŠนํžˆ, GPCR ๊ณ„์—ด์˜ ์•ฝ 85%๋ฅผ ์ฐจ์ง€ํ•˜๋Š” ํ›„๊ฐ ์ˆ˜์šฉ์ฒด (OR)๋ฅผ ํฌํ•จํ•˜๋Š” ํด๋ž˜์Šค A GPCR์€ ํ‘œ์  ์ˆ˜์šฉ์ฒด๋ฅผ ์ฝ”๋“œํ™”ํ•˜๊ณ  ์Šคํฌ๋ฆฌ๋‹ํ•˜๋Š” ๋ฐ ๋” ์ค‘์š”ํ•˜๋‹ค. ์ธ๊ฐ„์˜ ํ›„๊ฐ ์‹œ์Šคํ…œ์—๋Š” ์•ฝ 400 ์ข…๋ฅ˜์˜ OR์ด ์žˆ๋‹ค. OR๊ณผ ๋ƒ„์ƒˆ ๋ฌผ์งˆ ์‚ฌ์ด์˜ ์ƒํ˜ธ ์ž‘์šฉ์€ ํŒจํ„ด์˜ ์กฐํ•ฉ์œผ๋กœ ๋‡Œ์— ์ „๋‹ฌ๋˜๋Š” ์‹ ํ˜ธ๋ฅผ ์ƒ์„ฑํ•œ๋‹ค. ์ธ๊ฐ„์€ ๋ง์ดˆ ํ›„๊ฐ ์ฝ”๋”ฉ์˜ ์–ต์ œ ๋ฐ ํ–ฅ์ƒ๊ณผ ๊ฐ™์€ ๊ด‘๋ฒ”์œ„ํ•œ OR์— ์˜ํ•œ ์กฐ์ ˆ๋กœ ์ธํ•ด ์ œํ•œ๋œ ์ˆ˜์˜ OR๋กœ๋„ 1์กฐ๊ฐœ ์ด์ƒ์˜ ํ›„๊ฐ ์‹ ํ˜ธ๋ฅผ ๊ตฌ๋ณ„ํ•  ์ˆ˜ ์žˆ๋‹ค. ํ›„๊ฐ์€ ๋ณต์žกํ•œ ์™ธ๋ถ€ ์„ธ๊ณ„๋ฅผ ํŒจํ„ด์œผ๋กœ ์ธ์‹ํ•˜๊ธฐ ๋•Œ๋ฌธ์— OR์˜ ๋ฐ˜์‘์„ ๋ชจ๋ฐฉํ•˜๊ธฐ ์œ„ํ•ด ๋งŽ์€ ์—ฐ๊ตฌ๊ฐ€ ์ˆ˜ํ–‰๋˜์—ˆ๋‹ค. ํŠนํžˆ, ๋‹จ๋ฐฑ์งˆ ๊ธฐ๋ฐ˜ ๋‚˜๋…ธ๋ฐ”์ด์˜ค์„ผ์„œ๋Š” ์–‘์‚ฐ์„ฑ, ์žฌ์‚ฌ์šฉ ์šฉ์ด์„ฑ, ์ €๋น„์šฉ ๋“ฑ์˜ ์žฅ์ ์ด ์žˆ์–ด ํ›„๊ฐ์„ ๋ชจ๋ฐฉํ•˜๋Š” ํ”Œ๋žซํผ์œผ๋กœ ๊ธฐ๋Œ€๋œ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ GPCR ๊ตฌ์กฐ์˜ ์žฌ๊ตฌ์„ฑ์€ ๋Œ€์žฅ๊ท  ์‹œ์Šคํ…œ์—์„œ ์ƒ์„ฑ๋˜๋Š” ๊ฑฐ์˜ ๋ชจ๋“  GPCR์ด ๋ด‰์ž…์ฒด๋กœ ๋ฐœํ˜„๋˜๊ธฐ ๋•Œ๋ฌธ์— ์–ด๋ ค์šด ์ผ์ด๋‹ค. ์ด๋Ÿฌํ•œ ์ด์œ ๋กœ ์„ธ์ œ ๋ฏธ์…€, ๋‚˜๋…ธ๋ฒ ์ง€ํด, ๋ฐ”์ด์…€ ๋ฐ ๋‚˜๋…ธ๋””์Šคํฌ (ND)์™€ ๊ฐ™์€ GPCR์˜ ๊ธฐ๋Šฅ์„ ๋ณต๊ตฌํ•˜๊ธฐ ์œ„ํ•œ ์žฌ๊ตฌ์„ฑ ๊ธฐ์ˆ ์ด ๊ฐœ๋ฐœ๋˜์—ˆ๋‹ค. ์ด๋“ค ๋ฌผ์งˆ ์ค‘ ND๋Š” ๋‹ค์–‘ํ•œ ํ™˜๊ฒฝ์—์„œ์˜ ์•ˆ์ •์„ฑ๊ณผ ๊ธฐ๋Šฅ์  ์ˆ˜๋ช… ๋•Œ๋ฌธ์— ๊ฐ€์žฅ ํšจ๊ณผ์ ์ธ ์žฌ๊ตฌ์„ฑ ๋ฌผ์งˆ๋กœ ์—ฌ๊ฒจ์ ธ ์™”๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ๋Œ€์žฅ๊ท  ์‹œ์Šคํ…œ์—์„œ ๋†’์€ ์ƒ์‚ฐ์„ฑ์œผ๋กœ OR์„ ์ƒ์‚ฐํ•˜์—ฌ ๋‚˜๋…ธ๋””์Šคํฌ ๋˜๋Š” ๋‚˜๋…ธ๋ฒ ์ง€ํด ํ˜•ํƒœ๋กœ ๊ตฌ์กฐ๋ฅผ ์žฌ๊ตฌ์„ฑํ•˜์˜€๋‹ค. ๊ทธ๋Ÿฐ ๋‹ค์Œ ๊ธฐ๋Šฅ์ ์œผ๋กœ ์žฌ๊ตฌ์„ฑ๋œ OR์„ ์œก๋ฅ˜ ์‹ ์„ ๋„/๋ถ€ํŒจ ๋ชจ๋‹ˆํ„ฐ๋ง, ์งˆ๋ณ‘ ์ง„๋‹จ ๋ฐ ์‹ค์šฉ์ ์ธ ๋น„์ƒ‰ ์„ผ์„œ์— ์ ์šฉํ–ˆ๋‹ค. ์ฒซ์งธ, OR์€ djlA, ๋ง‰ ๊ฒฐํ•ฉ DnaK cochaperone ๋ฐ rraA, E. coli RNase E์˜ mRNA ๋ถ„ํ•ด ํ™œ์„ฑ ์–ต์ œ์ œ์™€ ๊ฐ™์€ ์ดํŽ™ํ„ฐ ์œ ์ „์ž๋ฅผ ๊ณต๋™ ๋ฐœํ˜„ํ•จ์œผ๋กœ์จ ๊ณผ๋ฐœํ˜„๋˜์—ˆ๋‹ค. DjlA ๋˜๋Š” RraA๋ฅผ ๊ณต๋™ ๋ฐœํ˜„ํ•˜๋Š” ๋Œ€์žฅ๊ท  ๊ท ์ฃผ๋Š” ๋‹จ๋ฐฑ์งˆ ๋ฐœํ˜„์— ์˜ํ•œ ๋…์„ฑ์„ ์–ต์ œํ•˜๊ณ  ํ›„๊ฐ ์ˆ˜์šฉ์ฒด๋ฅผ ๊ณผ๋ฐœํ˜„ํ–ˆ์Šต๋‹ˆ๋‹ค. ํ›„๊ฐ ์ˆ˜์šฉ์ฒด, ๋ง‰ ์ง€์ง€์ฒด ๋‹จ๋ฐฑ์งˆ, ์ธ์ง€์งˆ์˜ ๋ชฐ๋น„๋ฅผ ์กฐ์ ˆํ•˜์—ฌ ์ ์ ˆํ•œ ํฌ๊ธฐ์˜ ND๋ฅผ ๋งŒ๋“ค๊ณ  ๊ณ ์ˆœ๋„ ND๋ฅผ ์ •์ œํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ํ›„๊ฐ ์ˆ˜์šฉ์ฒด๊ฐ€ ๋‚ด์žฅ๋œ ND๋Š” ๋‹ค์–‘ํ•œ ์˜จ๋„ ๋ฐ ๋ณด๊ด€ ์‹œ๊ฐ„์— ๋Œ€ํ•ด ์•ˆ์ •์„ฑ์„ ๋ณด์˜€๋‹ค. ๋‘˜์งธ, ์œ„์•” ๋ฐ ๊ตฌ์ทจ ๋ฐ”์ด์˜ค๋งˆ์ปค์— ๊ฒฐํ•ฉํ•˜๋Š” ์ธ๊ฐ„ OR์€ ND ํ˜•ํƒœ๋กœ ์„ฑ๊ณต์ ์œผ๋กœ ์žฌ๊ตฌ์„ฑ๋˜๊ณ  ์ •์ œ๋˜์—ˆ๋‹ค. ND๋Š” ํ‘œ์  ๋ถ„์ž์— ๋Œ€ํ•œ ๋‹ค์–‘ํ•œ ๊ฒฐํ•ฉ ์นœํ™”์„ฑ์„ ๊ฐ€์กŒ๊ธฐ ๋•Œ๋ฌธ์— ์ธ๊ณต ํƒ€์•ก ์ƒ˜ํ”Œ์— ๋Œ€ํ•œ ๋‹ค์–‘ํ•œ ํŒจํ„ด์„ ๊ฐ€์กŒ๋‹ค. ์ธ๊ณต ํƒ€์•ก ์ƒ˜ํ”Œ์— ๋Œ€ํ•œ ๋‹ค์–‘ํ•œ ํŒจํ„ด์˜ ์ฃผ์„ฑ๋ถ„ ๋ถ„์„์„ ํ†ตํ•ด ๊ฑด๊ฐ•ํ•œ ๋Œ€์กฐ๊ตฐ ์ƒ˜ํ”Œ๊ณผ ํ™˜์ž ์ƒ˜ํ”Œ์„ ๊ตฌ๋ณ„ํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์…‹์งธ, ๋ฏธ๋Ÿ‰ ์•„๋ฏผ ๊ด€๋ จ ์ˆ˜์šฉ์ฒด (TAAR), TAAR13c ๋ฐ TAAR13d๊ฐ€ ๋Œ€์žฅ๊ท  ์‹œ์Šคํ…œ์—์„œ ์„ฑ๊ณต์ ์œผ๋กœ ๊ณผ๋ฐœํ˜„๋˜์—ˆ๊ณ  ND ํ˜•ํƒœ๋กœ ์žฌ๊ตฌ์„ฑ๋˜์—ˆ๋‹ค. ์ด๋Ÿฌํ•œ ND๋Š” ์œก๋ฅ˜ ์‹ ์„ ๋„๋ฅผ ๋ชจ๋‹ˆํ„ฐ๋งํ•˜๊ธฐ ์œ„ํ•œ ND ๊ธฐ๋ฐ˜ ์ „์ž ์ฝ”์˜ ๊ฐœ๋ฐœ์— ํ™œ์šฉ๋˜์—ˆ๋‹ค. ND ๊ธฐ๋ฐ˜ ์ „์ž ์ฝ”๋Š” ๋‹ค์–‘ํ•œ ํ˜„์žฅ ๋ฐ ์‹ค์ œ ์ƒ˜ํ”Œ์— ์„ฑ๊ณต์ ์œผ๋กœ ์ž‘๋™๋˜์—ˆ์œผ๋ฉฐ ์œก๋ฅ˜์˜ ์‹ ์„ ๋„๋ฅผ ๋ชจ๋‹ˆํ„ฐ๋งํ•˜๋Š” ๋ฐ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ ์ธ๊ฐ„ OR1A2 (hOR1A2)๋ฅผ ์„ธ์ œ ๋ฏธ์…€๋กœ ์žฌ๊ตฌ์„ฑํ•˜์—ฌ ์ œ๋ผ๋‹ˆ์˜ฌ์„ ๊ฐ์ง€ํ•˜๋Š” ๋น„์ƒ‰ ์„ผ์„œ ๊ฐœ๋ฐœ์— ํ™œ์šฉํ•˜์˜€๋‹ค. ํด๋ฆฌ๋‹ค์ด์•„์„ธํ‹ธ๋ Œ (PDA)์€ ํ›„๊ฐ ์ˆ˜์šฉ์ฒด์˜ ๋ฐ˜์‘์„ ์‹œ๊ฐํ™”ํ•˜๊ธฐ ์œ„ํ•œ 2์ฐจ ๋ณ€ํ™˜๊ธฐ๋กœ ์‚ฌ์šฉ๋˜์—ˆ๋‹ค. hOR1A2์˜ ๊ตฌ์กฐ์  ๋ฐ ๊ธฐ๋Šฅ์  ํŠน์„ฑ์€ PDA/์ง€์งˆ ๋‚˜๋…ธ๋ฒ ์ง€ํด์— ๋‚ด์žฅ๋˜์—ˆ์„ ๋•Œ ์œ ์ง€๋˜์—ˆ๋‹ค. PDA/์ง€์งˆ ๋‚˜๋…ธ๋ฒ ์ง€ํด์— ๋‚ด์žฅ๋œ hOR1A2๊ฐ€ geraniol๊ณผ ๋ฐ˜์‘ํ•  ๋•Œ ํŒŒ๋ž€์ƒ‰์—์„œ ๋ณด๋ผ์ƒ‰์œผ๋กœ ์ƒ‰์ƒ ์ „์ด๋ฅผ ์ผ์œผํ‚จ ๋ฐ˜๋ฉด ๋‹ค๋ฅธ ๋ถ„์ž์™€ ๋ฐ˜์‘ํ•  ๋•Œ๋Š” ์ƒ‰์ƒ ์ „์ด๊ฐ€ ์—†์—ˆ์Šต๋‹ˆ๋‹ค. ์ด ์—ฐ๊ตฌ์—์„œ๋Š” ๋‹ค์–‘ํ•œ OR์ด ND ๋˜๋Š” ๋‚˜๋…ธ๋ฒ ์ง€ํด๋กœ ์„ฑ๊ณต์ ์œผ๋กœ ์žฌ๊ตฌ์„ฑ๋˜์—ˆ๋‹ค. ์žฌ๊ตฌ์„ฑ๋œ OR์€ ์‹ํ’ˆ ์‹ ์„ ๋„ ๋ชจ๋‹ˆํ„ฐ๋ง, ํŒจํ„ด ๋ถ„์„์— ์˜ํ•œ ์งˆ๋ณ‘ ์ง„๋‹จ ๋ฐ ์‹ค์šฉ์ ์ธ ๋น„์ƒ‰ ์„ผ์„œ์— ์ ์šฉ๋  ์ˆ˜ ์žˆ์„ ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€๊ฐ€ ๋œ๋‹ค.Chapter 1 Research background and objective 15 Chapter 2 Literature review 20 2.1 Olfaction 22 2.1.1 Olfactory system 21 2.1.2 Olfactory receptors 25 2.1.3 Patterns of odorants 29 2.2 Nanobiosensor 32 2.2.1 Nanobiosensor system 32 2.2.2 Components for the nanobiosensor 35 2.2.3 Nanobiosensor detecting smell 37 2.3 Biomarkers in disease and food spoilage 44 2.3.1 Gastric cancer 44 2.3.2 Halitosis 47 2.3.3 Meat spoilage 49 2.4 Expression of GPCR in E. coli system 50 Chapter 3 Experimental procedures 52 3.1 Materials 53 3.2 Gene Cloning . 54 3.3 Expression 54 3.3.1 Expression of olfactory receptors in E. coli. 54 3.3.2 Expression of membrane scaffold protein in E. coli 56 3.3.3 Expression of olfactory receptors in HEK-293T cell 57 3.4 Purification. 57 3.4.1 Purification of olfactory receptors. 57 3.4.2 Purification of membrane scaffold protein 58 3.5 Functional reconstitution of olfactory receptors 59 3.5.1 Nanodisc 59 3.5.2 Detergent micelle. 60 3.5.3 Polydiacetylene/Lipid nanovesicle 61 3.6 Characterization . 61 3.6.1 Nano-glo dual luciferase assay 61 3.6.2 SDS-PAGE analysis 62 3.6.3 Dynamic light scattering 63 3.6.4 Circular dichroism . 63 3.6.5 Tryptophan fluorescence quenching assay 63 3.7 Immobilization of olfactory receptor-embedded nanodisc on graphene 64 Chapter 4 Enhancement of olfactory receptor production in E. coli system and characterization of olfactory receptor-embedded nanodiscs. 66 4.1 Introduction 67 4.2 Expression and purification of olfactory receptor in E. coli system 69 4.3 Purification and size analysis of olfactory receptor-embedded nanodiscs. 73 4.4 Stability of immobilized olfactory receptor-embedded nanodiscs. 77 4.5 Conclusions 82 Chapter 5 Development of nanodisc-based bioelectronic nose using trace amine-associated receptors for monitoring meat freshness/spoilage . 84 5.1 Introduction 85 5.2 Characterization of TAARs 87 5.3 Performance of nanodisc-based bioelectronic nose in the liquid phase. 91 5.4 Gas sensing performance of bioelectronic nose and its application to meat spoilage 97 5.5 Measurements of real samples using TAAR nanodisc-based bioelectronic nose 99 5.6 Conclusions 104 Chapter 6 Pattern analysis for gastric cancer biomarkers using human olfactory receptor-embedded nanodiscs . 105 6.1 Introduction 106 6.2 Affinities of human olfactory receptor-embedded nanodiscs to gastric cancer biomarkers 108 6.3 Patterns for gastric cancer biomarkers in artificial saliva 112 6.4 Principal component analysis for artificial saliva samples 115 6.5 Conclusions 117 Chapter 7 Pattern analysis for halitosis biomarkers in artificial saliva using olfactory receptor-embedded nanodiscs 118 7.1 Introduction 119 7.2 Characterization of olfactory receptor-embedded nanodiscs. 120 7.3 Patterns for halitosis biomarkers in artificial saliva. 122 7.4 Principal component analysis for artificial saliva samples 125 7.5 Conclusions 127 Chapter 8 Visual detection of geraniol using human olfactory receptor embedded in polydiacetylene/lipid nanovesicle 128 8.1 Introduction 129 8.2 Functionality of hOR1A2 embedded in detergent micelle and PDA/lipid nanovesicle. 130 8.3 Structural assay of hOR1A2 embedded in detergent micelle and PDA/lipid nanovesicle. 133 8.4 Size analysis and morphology of hOR1A2 embedded in PDA/lipid nanovesicle. 135 8.5 Photoluminescence intensity of hOR1A2 embedded in PDA/lipid nanovesicle. 137 8.6 Conclusions 141 Chapter 9 Overall discussion and further suggestions. 142 Bibliography . 147 ๊ตญ๋ฌธ์ดˆ๋ก 157๋ฐ•

    Nanobiosensors based on individual olfactory receptors

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    In the SPOT-NOSED European project, nanoscale sensing elements bearing olfactory receptors and grafted onto functionalized gold substrates are used as odorant detectors to develop a new concept of nanobioelectronic nose, through sensitive impedancemetric measurement of single receptor conformational change upon ligand binding, with a better specificity and lower detection threshold than traditional physical sensors.Comment: Submitted on behalf of EDA Publishing Association (http://irevues.inist.fr/EDA-Publishing

    Olfactory receptors for a smell sensor: A comparative study of the electrical responses of rat I7 and human 17-40

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    In this paper we explore relevant electrical properties of two olfactory receptors (ORs), one from rat OR I7 and the other from human OR 17-40, which are of interest for the realization of smell nanobiosensors. The investigation compares existing experiments, coming from electrochemical impedance spectroscopy, with the theoretical expectations obtained from an impedance network protein analogue, recently developed. The changes in the response due to the sensing action of the proteins are correlated with the conformational change undergone by the single protein. The satisfactory agreement between theory and experiments points to a promising development of a new class of nanobiosensors based on the electrical properties of sensing proteins.Comment: 6 pages, 7 figure

    Odorant binding proteins : a biotechnological tool for odour control

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    The application of an odorant binding protein for odour control and fragrance delayed release from a textile surface was first explored in this work. Pig OBP-1 gene was cloned and expressed in Escherichia coli , and the purified protein was biochemically characterized. The IC50 values(concentrations of competitor that caused a decay of fluorescence to half-maximal intensity) were determined for four distinct fragrances, namely, citronellol, benzyl benzoate,citronellyl valerate and ethyl valerate. The results showed a strong binding of citronellyl valerate,citronellol and benzyl benzoate to the recombinant protein, while ethyl valerate displayed weaker binding. Cationized cotton substrates were coated with porcine odorant binding protein and tested for their capacity to retain citronellol and to mask the smell of cigarette smoke. The immobilized protein delayed the release of citronellol when compared to the untreated cotton. According to a blind evaluation of 30 assessors, the smell of cigarette smoke, trapped onto the fabricsโ€™ surface, was successfully attenuated by porcine odorant binding protein (more than 60 % identified the weakest smell intensity after protein exposure compared to ฮฒ-cyclodextrin-treated and untreated cotton fabrics). This work demonstrated that porcine odorant binding protein can be an efficient solution to prevent and/orremove unpleasant odours trapped on the large surface of textiles. Its intrinsic properties make odorant binding proteins excellent candidates for controlled release systems which constitute a new application for this class of proteins.This work was co-funded by the European Social Fund through the management authority POPH and FCT. The authors Carla Silva and Teresa Matama would like to acknowledge their post-doctoral fellowships: SFRH/BPD/46515/2008 and SFRH/BPD/47555/2008, respectively

    Modeling the microscopic electrical properties of thrombin binding aptamer (TBA) for label-free biosensors

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    Aptamers are chemically produced oligonucleotides, able to bind a variety of targets such as drugs, proteins and pathogens with high sensitivity and selectivity. Therefore, aptamers are largely employed for producing label-free biosensors, with significant applications in diagnostics and drug delivery. In particular, the anti-thrombin aptamers are biomolecules of high interest for clinical use, because of their ability to recognize and bind the thrombin enzyme. Among them, the DNA 15-mer thrombin-binding aptamer (TBA), has been widely explored concerning both its structure, which was resolved with different techniques, and its function, especially about the possibility of using it as the active part of biosensors. This paper proposes a microscopic model of the electrical properties of TBA and the aptamer-thrombin complex, combining information from both structure and function. The novelty consists in describing both the aptamer alone and the complex as an impedance network, thus going deeper inside the issues addressed in an emerging electronics branch known as proteotronics. The theoretical results are compared and validated with Electrochemical Impedance Spectroscopy measurements reported in the literature. Finally, the model suggests resistance measurements as a novel tool for testing aptamer-target affinity.Comment: 5 figures, 1 tabl

    Odorant binding proteins fromHermetia illucens: potential sensing elements for detecting volatile aldehydes involved in early stages of organic decomposition

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    Organic decomposition processes, involving the breakdown of complex molecules such as carbohydrates, proteins and fats, release small chemicals known as volatile organic compounds (VOCs), smelly even at very low concentrations, but not all readily detectable by vertebrates. Many of these compounds are instead detected by insects, mostly by saprophytic species, for which long-range orientation towards organic decomposition matter is crucial. In the present work the detection of aldehydes, as an important measure of lipid oxidation, has been possible exploiting the molecular machinery underlying odour recognition inHermetia illucens(Diptera: Stratiomyidae). This voracious scavenger insect is of interest due to its outstanding capacity in bioconversion of organic waste, colonizing very diverse environments due to the ability of sensing a wide range of chemical compounds that influence the choice of substrates for ovideposition. A variety of soluble odorant binding proteins (OBPs) that may function as carriers of hydrophobic molecules from the air-water interface in the antenna of the insect to the receptors were identified, characterised and expressed. An OBP-based nanobiosensor prototype was realized using selected OBPs as sensing layers for the development of an array of quartz crystal microbalances (QCMs) for vapour phase detection of selected compounds at room temperature. QCMs coated with four recombinantH. illucensOBPs (HillOBPs) were exposed to a wide range of VOCs indicative of organic decomposition, showing a high sensitivity for the detection of three chemical compounds belonging to the class of aldehydes and one short-chain fatty acid. The possibility of using biomolecules capable of binding small ligands as reversible gas sensors has been confirmed, greatly expanding the state-of the-art in gas sensing technology

    Biotechnological applications of mammalian odorant-binding proteins

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    The olfactory system of mammals allows the detection and discrimination of thousands of odors from the environment. In mammals, odorant-binding proteins (OBPs) are considered responsible to carry odorant molecules across the aqueous nasal mucus to the olfactory receptors (ORs). The three-dimensional structure of these proteins presents eight antiparallel ?-sheets and a short ?-helical segment close to the C terminus, typical of the lipocalins family. The great ability of OBPs to bind differentiated ligand molecules has driven the research to understand the mechanisms underlying the OBP function in nature and the development of advanced biotechnological applications. This review describes the role of mammalian OBPs in the olfactory perception, highlighting the influence of several key parameters (amino acids, temperature, ionic strength, and pH) in the formation of the OBP/ligand complex. The information from the literature regarding OBP structure, affinity, the strength of binding, and stability inspiring the development of several applications herein detailed.This study was financially supported by the Portuguese Foundation for Science and Technology (Fundacยธ~ao para a Ciencia e a Tecnologia) under the scope of the strategic funding of UID/BIO/04469/2019 unit and BioTecNorte operation [NORTE-01-0145-FEDER-000004] funded by European Regional Development Fund under the scope of Norte2020 โ€“ Programa Operacional Regional do Norte. F.G. thanks Fundac~ao para a Ci^ encia e a Tecnologia for their funding [SFRH/BD/114684/2016].info:eu-repo/semantics/publishedVersio

    Perspectives of Nano-Materials and Nanobiosensors in Food Safety and Agriculture

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    Nanobiosensor is one type of biosensor made up with usage of nanomaterials i.e., nanoparticles and nanostructures. Because of the nanomaterialsโ€™ unique properties such as good conductivity, and physicochemical, electrochemical, optical, magnetic and mechanical properties, Nanobiosensors are highly reliable and more sensitive in biosensing approaches over conventional sensors which is having various limitation in detection. Quantum dots, nanotubes, nanowires, magnetic and other nanoparticles enhance sensitivity and lower limit of detection by amplifying signals and providing novel signal transduction mechanisms enable detection of a very low level of food contaminants, pesticides, foodborne pathogens, toxins and plant metabolites. Nanobiosensors are having a lot of scope in sustainable agriculture because of its detecting ability i.e., sensing changes occurred in molecular level. So it can be utilized to find out the variations or modification of plant metabolities, volatiles, gas exchange, hormonal and ion concentration etc. which are the indicators of various harsh environmental stresses (abiotic), biotic and physiological stress. Identification of the stress in the starting stage itself will help us to avoid intensive plant damage and prevent yield losses created by the stress. Nanosensors can be used in smart farming, in which all the environmental factors related to plant growth like temperature, water, pH, humidity, nutritional factor etc. are measured and precaution taken to control the factors which reduce the crop production with the help of IOT platform, thereby enhance the productivity. In this review, discussed about nanobiosensors for detection of food contaminants and various application and its potential in agriculture

    Hierarchy and assortativity as new tools for affinity investigation: the case of the TBA aptamer-ligand complex

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    Aptamers are single stranded DNA, RNA or peptide sequences having the ability to bind a variety of specific targets (proteins, molecules as well as ions). Therefore, aptamer production and selection for therapeutic and diagnostic applications is very challenging. Usually they are in vitro generated, but, recently, computational approaches have been developed for the in silico selection, with a higher affinity for the specific target. Anyway, the mechanism of aptamer-ligand formation is not completely clear, and not obvious to predict. This paper aims to develop a computational model able to describe aptamer-ligand affinity performance by using the topological structure of the corresponding graphs, assessed by means of numerical tools such as the conventional degree distribution, but also the rank-degree distribution (hierarchy) and the node assortativity. Calculations are applied to the thrombin binding aptamer (TBA), and the TBA-thrombin complex, produced in the presence of Na+ or K+. The topological analysis reveals different affinity performances between the macromolecules in the presence of the two cations, as expected by previous investigations in literature. These results nominate the graph topological analysis as a novel theoretical tool for testing affinity. Otherwise, starting from the graphs, an electrical network can be obtained by using the specific electrical properties of amino acids and nucleobases. Therefore, a further analysis concerns with the electrical response, which reveals that the resistance sensitively depends on the presence of sodium or potassium thus posing resistance as a crucial physical parameter for testing affinity.Comment: 12 pages, 5 figure
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