Selection of Aptamers for Molecular Recognition and Characterization of Cancer Cells

适体 指数富集配体系统进化 化学 计算生物学 分子探针 DNA 分子识别 分子生物学 核糖核酸 生物 生物化学 基因 有机化学 分子
作者
Zhiwen Tang,Dihua Shangguan,Kemin Wang,Hui Shi,Kwame Sefah,Prabodhika Mallikratchy,Hui William Chen,Ying Li,Weihong Tan
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:79 (13): 4900-4907 被引量:458
标识
DOI:10.1021/ac070189y
摘要

In this paper, we describe a new way to generate molecular probes for specific recognition of cancer cells. Molecular medicine will require a large number of probes for molecular recognition and characterization of a variety of diseased cells. Aptamers, single-stranded DNA/RNA probes, are poised to become a chemist's antibody and have the potential to serve as molecular probes for a variety of biomedical applications. By applying newly developed cell-SELEX (cell-based systematic evolution of ligands by exponential enrichment) against whole living cells, panels of aptamers have been evolved from an initial DNA library to characterize target cells at the molecular level. Ramos cells, a B-cell lymphoma cell line, were used as target cells for the generation of effective molecular probes. By taking advantages of the repetitive and broad enrichment strategy, the selected aptamers could bind to target cells and other closely related cell lines in variant patterns with an equilibrium dissociation constant (Kd) in the nanomolar range. Some aptamers could also specifically recognize the target lymphoma cells mixed with normal human bone marrow aspirates. The cell-based SELEX is simple, fast, and robust. The strategies used here will be highly useful for aptamer selection against complex target samples in order to generate a large number of aptamers in a variety of biomedical and biotechnological applications, paving the way for molecular diagnosis, therapy, and biomarker discovery.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
Hlinc完成签到,获得积分20
1秒前
Hlinc发布了新的文献求助10
4秒前
糖糖发布了新的文献求助10
4秒前
完美世界应助lane采纳,获得10
4秒前
小晶豆完成签到,获得积分10
6秒前
blue发布了新的文献求助10
6秒前
忐忑的盼易完成签到 ,获得积分10
6秒前
6秒前
9秒前
10秒前
10秒前
ZHEN发布了新的文献求助20
12秒前
14秒前
14秒前
善学以致用应助blue采纳,获得10
15秒前
15秒前
Lucas应助李理采纳,获得10
17秒前
17秒前
机智的凡梦完成签到,获得积分10
18秒前
Ava应助文静的千秋采纳,获得10
20秒前
Diamond发布了新的文献求助10
20秒前
21秒前
22秒前
jack发布了新的文献求助30
23秒前
DX120210165发布了新的文献求助10
23秒前
blue完成签到,获得积分10
24秒前
嘎嘎米小骑士完成签到,获得积分20
24秒前
25秒前
yj发布了新的文献求助10
26秒前
共享精神应助ZHEN采纳,获得10
26秒前
哇咔咔发布了新的文献求助10
29秒前
jack完成签到,获得积分10
31秒前
DX120210165完成签到,获得积分10
31秒前
32秒前
RMgX完成签到,获得积分10
32秒前
希望天下0贩的0应助yj采纳,获得10
32秒前
ZHEN完成签到,获得积分20
34秒前
SDNUDRUG完成签到,获得积分10
34秒前
35秒前
星辰大海应助dsaifjs采纳,获得10
35秒前
高分求助中
The Oxford Handbook of Social Cognition (Second Edition, 2024) 1050
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
юрские динозавры восточного забайкалья 800
English Wealden Fossils 700
Chen Hansheng: China’s Last Romantic Revolutionary 500
COSMETIC DERMATOLOGY & SKINCARE PRACTICE 388
Case Research: The Case Writing Process 300
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3141752
求助须知:如何正确求助?哪些是违规求助? 2792736
关于积分的说明 7804057
捐赠科研通 2449017
什么是DOI,文献DOI怎么找? 1303050
科研通“疑难数据库(出版商)”最低求助积分说明 626718
版权声明 601260