High-throughput quantitative detection of triple-negative breast cancer-associated expressed miRNAs by rolling circle amplification on fluorescence-encoded microspheres

微球 小RNA 荧光 三阴性乳腺癌 吞吐量 乳腺癌 检出限 滚动圆复制 恶性肿瘤 化学 癌症 癌症研究 计算生物学 生物 基因 计算机科学 遗传学 色谱法 物理 工程类 化学工程 量子力学 无线 DNA复制 电信
作者
Jieyu Liu,Liming Zhang,Wentao Zeng,Lihua Zhang,Nongyue He,Zhuoxuan Lu
出处
期刊:Chinese Chemical Letters [Elsevier BV]
卷期号:34 (9): 108141-108141 被引量:55
标识
DOI:10.1016/j.cclet.2023.108141
摘要

Compared with other types of breast cancer, triple-negative breast cancer (TNBC) has the characteristics of a high degree of malignancy and poor prognosis. Early diagnosis of TNBC through biological markers and timely development of effective treatment methods can reduce its mortality. Many Research experiments have confirmed that some specific miRNA expression profiles in TNBC can used as markers for early diagnosis. However, detecting the expression profiles of multiple groups of miRNAs according to traditional detection methods is complicated and consumes many samples. To address this issue, we developed a method for high-throughput, high-sensitivity quantitative detection of multiple sets of miRNAs (including miR-16, miR-21, miR-92, miR-199, and miR-342) specifically expressed in TNBC by rolling circle amplification (RCA) on fluorescence-encoded microspheres. Through the optimization of reaction system conditions, the developed method showed an extensive linear dynamic range and high sensitivity for all five miRNAs with the lowest limit of detection of 2 fmol/L. Meanwhile, this high-throughput detection method also appeared reasonable specificity. Only in the presence of a specific target miRNA, the fluorescence signal on the correspondingly encoded microspheres is significantly increased, while the fluorescence signal on other non-correspondingly encoded microspheres is almost negligible. Furthermore, this process exhibited good recovery and reproducibility in serum. The advantages of this method allow us to more conveniently obtain the expression profiles of multiple groups of TNBC-associated miRNAs, which is beneficial for the early detection of TNBC.
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
lqx完成签到 ,获得积分20
2秒前
谦让的嫣娆完成签到,获得积分10
3秒前
4秒前
小李完成签到,获得积分10
4秒前
蚂蚁工人发布了新的文献求助50
4秒前
AAAA完成签到,获得积分10
5秒前
5秒前
活力的灰狼完成签到,获得积分10
5秒前
6秒前
601完成签到 ,获得积分10
7秒前
科研通AI6.4应助高天采纳,获得10
7秒前
A爷有特点完成签到 ,获得积分10
9秒前
lmp发布了新的文献求助10
9秒前
9秒前
9秒前
hhhh完成签到 ,获得积分10
10秒前
10秒前
我是老大应助馥桉樊采纳,获得10
10秒前
何my完成签到 ,获得积分10
11秒前
简亓完成签到,获得积分10
11秒前
11秒前
科研牛马完成签到,获得积分10
13秒前
路咕咕嗼发布了新的文献求助10
15秒前
哎呀完成签到,获得积分10
15秒前
zhao发布了新的文献求助10
16秒前
高杰西发布了新的文献求助10
16秒前
dalin发布了新的文献求助10
16秒前
17秒前
leeheeseung完成签到,获得积分10
17秒前
18秒前
zl12345完成签到,获得积分10
18秒前
19秒前
Radiance完成签到,获得积分10
21秒前
xing_xing应助ttl采纳,获得20
22秒前
Orange应助肉米采纳,获得10
22秒前
Sunny完成签到 ,获得积分20
23秒前
馥桉樊发布了新的文献求助10
23秒前
25秒前
只只完成签到,获得积分10
25秒前
高雅晴发布了新的文献求助10
26秒前
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 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 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 7569990
求助须知:如何正确求助?哪些是违规求助? 9150038
关于积分的说明 19569084
捐赠科研通 7155633
什么是DOI,文献DOI怎么找? 3263782
关于科研通互助平台的介绍 2429254
邀请新用户注册赠送积分活动 2253842