몽발개발

High-throughput evolution of near-infraredserotonin nanosensors 본문

뇌공학/논문 정리

High-throughput evolution of near-infraredserotonin nanosensors

집사 몽이 2020. 8. 10. 16:20
반응형
읽은 날 2020.08.10 학술지 Neuroscience
제목 High-throughput evolution of near-infrared
serotonin nanosensors
저자 Sanghwa Jeong1, Darwin Yang1, Abraham G. Beyene1, Jackson Travis Del Bonis-O’Donnell1,
Anneliese M. M. Gest2, Nicole Navarro1, Xiaoqi Sun1, Markita P. Landry1,3,4,5*
한줄요약 carbon nanotube와 ssDNA를 결합해 만든 nanosensor를 이용한 serotonin 측정
초록   Imaging neuromodulation with synthetic probes is an emerging technology for studying neurotransmission. However, most synthetic probes are developed through conjugation of fluorescent signal transducers to preexisting recognition moieties such as antibodies or receptors. We introduce a generic platform to evolve synthetic molecular recognition on the surface of near-infrared fluorescent single-wall carbon nanotube (SWCNT) signal transducers. We demonstrate evolution of molecular recognition toward neuromodulator serotonin generated from large libraries of ~6.9 × 1010 unique ssDNA sequences conjugated to SWCNTs. This probe is reversible and produces a ~200% fluorescence enhancement upon exposure to serotonin with a Kd = 6.3 uM, and shows selective responsivity over serotonin analogs, metabolites, and receptor-targeting drugs. Furthermore, this probe remains responsive and reversible upon repeat exposure to exogenous serotonin in the extracellular space of acute brain slices. Our results suggest that evolution of nanosensors could be generically implemented to develop other neuromodulator probes with synthetic molecular recognition.
키워드 5-HT, serotonin, carbon nanutube. ssDNA, nIRHT
의의 정확하고 강력한 serotonin selective imaging 방법 제시
비판점  

 

반응형
저작자표시 비영리 변경금지 (새창열림)

'뇌공학 > 논문 정리' 카테고리의 다른 글

African Americans’ Diminished Returns of ParentalEducation on Adolescents’ Depression and Suicide inthe Adolescent Brain Cognitive Development(ABCD) Study  (0) 2020.08.13
Computer Methods and Programs in Biomedicine  (0) 2020.08.12
An fMRI study on mental pain and suicidal behavior  (0) 2020.08.10
Current, future and potential use of mobile and wearable technologies and social media data in the ABCD study to increase understanding of contributors to child health  (0) 2020.07.30
Deep neural networks and kernel regression achieve comparable accuraciesfor functional connectivity prediction of behavior and demographics  (0) 2020.07.28
'뇌공학/논문 정리' Related Articles more