mRNA and microRNA stability validation of blood samples under different environmental conditions

小RNA 信使核糖核酸 计算生物学 理论(学习稳定性) 环境科学 生物 计算机科学 遗传学 基因 机器学习
作者
Zhilong Li,Dezhi Chen,Qian Wang,Huan Tian,Mengyu Tan,Duo Peng,Tan Yu,Jing Zhu,Weibo Liang,Lin Zhang
出处
期刊:Forensic Science International-genetics [Elsevier BV]
卷期号:55: 102567-102567 被引量:39
标识
DOI:10.1016/j.fsigen.2021.102567
摘要

RNA molecules, including mRNAs and microRNAs (miRNAs), have been used for forensic body fluid identification. Specific body fluids present unique mRNA expression patterns, while miRNAs identifying body fluids are mainly differentially expressed. miRNAs are thought to be more stable than mRNAs, although this lacks adequate supporting data. In this study, we addressed perceived concerns regarding the stability of miRNAs and mRNAs in blood samples. The samples used in this study involved three groups. First, environmentally-degraded blood stain samples were exposed to a range of environmental conditions over 1-360 days to degrade naturally. Second, simulated-degraded samples were prepared using RNase A or high temperature (80 °C). Furthermore, two authentic casework samples that were proven to be degraded from short tandem repeat (STR) profiles were analyzed. mRNAs and miRNAs present in the same blood samples were simultaneously detected through reverse transcriptase qPCR (RT-qPCR). Furthermore, mRNAs expression was determined by an mRNA multiplex PCR system. Our results showed that both mRNAs and miRNAs were stable in dry environments. The stability of miRNAs was relatively higher than that of mRNAs in humid environments or at high temperature. RNase A had the most serious impact on RNA stability, both mRNA profiles and miRNAs expression patterns were altered. The results of this study provide data and support to demonstrate that miRNAs represent more stable RNA molecules in body fluid identification compared to mRNAs.
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
甜甜的剑愁完成签到,获得积分10
刚刚
hbvyjnn完成签到,获得积分10
刚刚
刚刚
小王发布了新的文献求助10
1秒前
1秒前
HXZ发布了新的文献求助10
1秒前
zhong完成签到,获得积分10
1秒前
1秒前
宇文青寒发布了新的文献求助10
1秒前
番茄完成签到,获得积分20
1秒前
2秒前
2秒前
BOOOLUUU发布了新的文献求助10
2秒前
星辰大海的应助被ZERO110采纳,获得10
2秒前
你吴哥完成签到,获得积分10
2秒前
舒服的曼云完成签到,获得积分10
3秒前
4秒前
orixero的应助被棋心采纳,获得10
4秒前
4秒前
DW的应助被Ray采纳,获得10
4秒前
嘻嘻嘻完成签到,获得积分10
4秒前
4秒前
番茄发布了新的文献求助10
5秒前
5秒前
5秒前
慕青的应助被wking采纳,获得10
5秒前
newfat发布了新的文献求助10
5秒前
amanda发布了新的文献求助30
6秒前
6秒前
6秒前
6秒前
彩色鹏煊完成签到 ,获得积分20
6秒前
星辰大海的应助被hhh采纳,获得10
6秒前
Owen的应助被小鲨鱼芋芋采纳,获得10
6秒前
7秒前
贝贝完成签到,获得积分10
7秒前
行走完成签到,获得积分10
7秒前
aaaacc完成签到,获得积分10
7秒前
ICE发布了新的文献求助10
7秒前
认真的迎蕾完成签到,获得积分10
7秒前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
Rosenblum, Global Change Biology 800
Yugoslavia and China Histories, Legacies, Afterlives 560
A Silent Apostrophe:The Fayum Portraits 520
Organizational Behavior 510
AI-Contracting 300
四川大学学位论文.郭瑞昂. 基于高压热扩散的n型磷掺杂金刚石半导体制备研究 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 有机化学 化学工程 内科学 物理 生物化学 复合材料 催化作用 细胞生物学 人工智能 心理学 无机化学 基因 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 7835483
求助须知:如何正确求助?哪些是违规求助? 9357974
关于积分的说明 20602090
捐赠科研通 7428073
什么是DOI,文献DOI怎么找? 3337812
关于科研通互助平台的介绍 2482257
邀请新用户注册赠送积分活动 2358830