亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Characterizing the Conformational Free-Energy Landscape of RNA Stem-Loops Using Single-Molecule Field-Effect Transistors

能源景观 化学 折叠(DSP实现) 核糖核酸 化学物理 伞式取样 生物物理学 分子动力学 结晶学 计算化学 生物化学 生物 基因 电气工程 工程类
作者
Sukjin Jang,Sarah Dubnik,Jason Hon,Björn Hellenkamp,David Lynall,Kenneth L. Shepard,Colin Nuckolls,Ruben L. Gonzalez
出处
期刊:Journal of the American Chemical Society [American Chemical Society]
卷期号:145 (1): 402-412
标识
DOI:10.1021/jacs.2c10218
摘要

We have developed and used single-molecule field-effect transistors (smFETs) to characterize the conformational free-energy landscape of RNA stem-loops. Stem-loops are one of the most common RNA structural motifs and serve as building blocks for the formation of complex RNA structures. Given their prevalence and integral role in RNA folding, the kinetics of stem-loop (un)folding has been extensively characterized using both experimental and computational approaches. Interestingly, these studies have reported vastly disparate timescales of (un)folding, which has been interpreted as evidence that (un)folding of even simple stem-loops occurs on a highly rugged conformational energy landscape. Because smFETs do not rely on fluorophore reporters of conformation or mechanical (un)folding forces, they provide a unique approach that has allowed us to directly monitor tens of thousands of (un)folding events of individual stem-loops at a 200 μs time resolution. Our results show that under our experimental conditions, stem-loops (un)fold over a 1-200 ms timescale during which they transition between ensembles of unfolded and folded conformations, the latter of which is composed of at least two sub-populations. The 1-200 ms timescale of (un)folding we observe here indicates that smFETs report on complete (un)folding trajectories in which unfolded conformations of the RNA spend long periods of time wandering the free-energy landscape before sampling one of several misfolded conformations or the natively folded conformation. Our findings highlight the extremely rugged landscape on which even the simplest RNA structural elements fold and demonstrate that smFETs are a unique and powerful approach for characterizing the conformational free-energy of RNA.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
李健应助万事都灵采纳,获得10
5秒前
悲凉的丝完成签到,获得积分10
5秒前
研友_惊鸿发布了新的文献求助10
9秒前
共享精神应助科研通管家采纳,获得10
22秒前
38秒前
39秒前
41秒前
44秒前
小小斌完成签到,获得积分10
48秒前
满意的苑博完成签到,获得积分10
50秒前
wanci应助董羽佳采纳,获得10
54秒前
超级的路人完成签到,获得积分20
57秒前
1分钟前
1分钟前
千羽发布了新的文献求助10
1分钟前
在水一方应助万事都灵采纳,获得10
1分钟前
MTF完成签到,获得积分10
1分钟前
早茶可口完成签到,获得积分10
1分钟前
董羽佳发布了新的文献求助10
1分钟前
1分钟前
乐乐应助千羽采纳,获得10
1分钟前
唔昂wang发布了新的文献求助10
1分钟前
忧郁小鸽子完成签到,获得积分10
1分钟前
1分钟前
科研通AI6.4应助研友_惊鸿采纳,获得10
1分钟前
万事都灵发布了新的文献求助10
1分钟前
悲凉的雁芙完成签到,获得积分10
1分钟前
1分钟前
杳杳完成签到 ,获得积分10
1分钟前
研友_惊鸿发布了新的文献求助10
1分钟前
我是老大应助落叶的怀柔采纳,获得10
1分钟前
科研通AI6.2应助研友_惊鸿采纳,获得10
1分钟前
1分钟前
1分钟前
拼搏愚志完成签到,获得积分10
1分钟前
1分钟前
2分钟前
金嘉懿完成签到,获得积分10
2分钟前
涛声依旧完成签到,获得积分10
2分钟前
千羽发布了新的文献求助10
2分钟前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
Pediatric Dermoscopy Trichoscopy & Onychoscopy 2030
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7578520
求助须知:如何正确求助?哪些是违规求助? 9158137
关于积分的说明 19592713
捐赠科研通 7161870
什么是DOI,文献DOI怎么找? 3265547
关于科研通互助平台的介绍 2430514
邀请新用户注册赠送积分活动 2256308