Optimized Storage Methods of RNA Extraction from Formalin Fixed Paraffin Embedded Tissue

作者
Mehdi Barati,Mahdieh Shokrollahi Barough,Fatemeh Pak,Vahid Semnani,Mehrnoosh Pashaei,Parviz Kokhaei
出处
期刊:Middle East Journal of Rehabilitation and Health [Semnan University of Medical Sciences]
卷期号:5 (2)
标识
DOI:10.5812/mejrh.63356
摘要

Background: RNA extraction from Formalin Fixed Paraffin Embedded tissue (FFPE) provides valuable information. The main obstacle for pure RNA extraction from FFPE specimens is RNA degradation over time and low yield of RNA due to chemical processing. In the present study, RNA extraction from FFPE specimens were optimized for storage time, proteinase K concentration, and tissue size hemogenation. Methods: To evaluate the effect of storage time on RNA extraction yield, total RNA from 78 FFPE breast tissue specimens (1 - 3 years n = 52, and less than one year, n = 26) were extracted by High Pure Paraffin Kit (Roche). The effect of 2 different proteinase K on RNA was evaluated by proteinase K, and the effect of homogenization was evaluated using 2 different section sizes (10 µm and 5X2 µm). Extracted RNA was converted to cDNA. The SYBER Green Real time PCR was performed for quantitative analysis using ABI7900 Real time PCR. Results: The results indicated that FFPE storage time affected the yield of RNA extraction. The more the time of storage, the less RNA could be obtained (r = -0.38, P = 0.01). Smaller tissue section size seems to increase the amount of efficient RNA extraction from FFPE, probably through appropriate tissue lysis and more RNA release. According to the current study, proteinase K (Endopeptidase K) from different companies also affected on the quality of RNA extracted from FFPE (P = 0.032). Conclusion: Different optimization strategies enhance quality, purity, and quantity of RNA extracted from FFPE, which is critical in gene expression studies, like qRT-PCR.

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
Gauss应助lisier采纳,获得30
2秒前
的服务费发布了新的文献求助10
3秒前
科研通AI6.4应助渴望者采纳,获得10
4秒前
大胡子完成签到 ,获得积分10
4秒前
海绵宝宝发布了新的文献求助10
6秒前
7秒前
乐乐应助ok采纳,获得10
8秒前
9秒前
11秒前
11秒前
tjcu发布了新的文献求助10
13秒前
15秒前
Alan发布了新的文献求助10
16秒前
16秒前
薛洋发布了新的文献求助10
17秒前
qikkk应助小吴采纳,获得10
17秒前
jenny发布了新的文献求助10
17秒前
ding应助王大橘采纳,获得20
17秒前
17秒前
21秒前
22秒前
22秒前
Komin发布了新的文献求助10
27秒前
夜影阑珊发布了新的文献求助10
27秒前
28秒前
28秒前
ocean完成签到 ,获得积分10
29秒前
ming发布了新的文献求助20
30秒前
深情安青应助早晚炸了学校采纳,获得100
31秒前
阿喵发布了新的文献求助30
34秒前
35秒前
36秒前
37秒前
39秒前
欻欻欻完成签到,获得积分10
39秒前
Licy完成签到,获得积分10
41秒前
此生不换完成签到,获得积分10
41秒前
42秒前
念初发布了新的文献求助10
42秒前
43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
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 500
Variations: A More Diverse Picture of Contemporary Art 400
Induction Heating and Heat Treatment (ASM Handbook, Volume 4C) 300
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 7589723
求助须知:如何正确求助?哪些是违规求助? 9167322
关于积分的说明 19621818
捐赠科研通 7169146
什么是DOI,文献DOI怎么找? 3267123
关于科研通互助平台的介绍 2432050
邀请新用户注册赠送积分活动 2259348