Intrinsic SERS Fingerprints of Aptamer-Peptide Conjugates for Direct High-Specific Profiling Abnormal Protein Levels in Cancer Patients

化学 适体 结合 计算生物学 生物化学 分子生物学 数学 生物 数学分析
作者
Mengke Su,Shixuan Yang,Min Xu,Shanshan Du,Liqin Zheng,Xian Wang,Cheng Qu,Honglin Liu
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:95 (33): 12398-12405 被引量:17
标识
DOI:10.1021/acs.analchem.3c01988
摘要

Surface-enhanced Raman spectroscopy (SERS) with ultrasensitive vibrational fingerprints enables quick identification and trace detection of various kinds of molecules. But proteins usually have low Raman cross sections and are difficult to generate recognizable signals in direct SERS detection. Recently, nucleic acid-peptide conjugates are emerging with great potential in structuring, assembling, catalyzing, sensing, etc., and the coupling of aptamers further enables superior biological recognition and programmability. Here, we develop the aptamer-peptide conjugates as a new kind of SERS probe for direct high-specific profiling abnormal protein levels in cancer patients. The aptamer conjugated with glutathione (GSH) functions as both the recognition element and the SERS reporters that can simultaneously generate SERS fingerprints of both peptides and nucleic acids. This kind of biocompatible probe appears to have excellent performance in high-salt environments and realizes rapid, simple, and multisignal detection of thrombin (TB). Data-driven soft independent modeling of class analogy (DD-SIMCA) is used to distinguish SERS profiles of actual blood samples and realize the identification and classification of cancer patients. Furthermore, the effect of low-temperature storage time on blood samples is analyzed by tracking the changes of SERS profiles; the results hint that plasma samples stored under 4 °C for more than 2 days could generate false negative results due to TB hydrolysis, which has important implications for clinical sample analysis. This kind of nucleic acid-peptide conjugate provides new ideas for SERS sensing strategy in the future.
最长约 10秒,即可获得该文献文件

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
刚刚
刚刚
刚刚
若愚完成签到,获得积分10
刚刚
loopy发布了新的文献求助10
1秒前
1秒前
孙紫阳发布了新的文献求助10
2秒前
量子星尘发布了新的文献求助10
2秒前
4秒前
4秒前
小牛发布了新的文献求助10
4秒前
4秒前
三叁完成签到,获得积分10
4秒前
小二郎应助风雨采纳,获得10
5秒前
乱步发布了新的文献求助10
5秒前
KinoFreeze完成签到 ,获得积分10
5秒前
2052669099应助张宁波采纳,获得10
6秒前
zz发布了新的文献求助10
6秒前
6秒前
大糖糕僧发布了新的文献求助10
6秒前
ifff完成签到,获得积分10
7秒前
若愚发布了新的文献求助10
7秒前
7秒前
Ava应助起名字好难采纳,获得30
8秒前
SciGPT应助hsut-czq采纳,获得10
8秒前
生生发布了新的文献求助10
8秒前
FashionBoy应助xxwyj采纳,获得10
8秒前
打打应助槑槑采纳,获得30
9秒前
10秒前
是我呀吼发布了新的文献求助10
10秒前
11秒前
12秒前
rena521完成签到,获得积分10
13秒前
深情安青应助满意草丛采纳,获得10
13秒前
虚幻花卷发布了新的文献求助10
14秒前
15秒前
17秒前
hanbo完成签到,获得积分20
17秒前
量子星尘发布了新的文献求助10
18秒前
冠军发布了新的文献求助10
19秒前
高分求助中
(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
Kinesiophobia : a new view of chronic pain behavior 2000
Burger's Medicinal Chemistry, Drug Discovery and Development, Volumes 1 - 8, 8 Volume Set, 8th Edition 1800
Cronologia da história de Macau 1600
文献PREDICTION EQUATIONS FOR SHIPS' TURNING CIRCLES或期刊Transactions of the North East Coast Institution of Engineers and Shipbuilders第95卷 1000
BRITTLE FRACTURE IN WELDED SHIPS 1000
Lloyd's Register of Shipping's Approach to the Control of Incidents of Brittle Fracture in Ship Structures 1000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 计算机科学 化学工程 生物化学 物理 复合材料 内科学 催化作用 物理化学 光电子学 细胞生物学 基因 电极 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6141151
求助须知:如何正确求助?哪些是违规求助? 7968846
关于积分的说明 16547101
捐赠科研通 5254996
什么是DOI,文献DOI怎么找? 2805919
邀请新用户注册赠送积分活动 1786558
关于科研通互助平台的介绍 1656104