Comparison of matched formalin‐fixed paraffin embedded and fresh frozen meningioma tissue reveals bias in proteomic profiles

赖氨酸 分子生物学 蛋白质组 生物 化学 生物化学 氨基酸
作者
Hanan Schoffman,Yishai Levin,Ayelet Itzhaki‐Alfia,Lea Tselekovits,Lior Gonen,Gilad W. Vainer,Goni Hout‐Siloni,Iris Barshack,Zvi R. Cohen,Nevo Margalit,Tal Shahar
出处
期刊:Proteomics [Wiley]
卷期号:22 (21): e2200085-e2200085 被引量:9
标识
DOI:10.1002/pmic.202200085
摘要

Abstract Tissue biopsies are most commonly archived in a paraffin block following tissue fixation with formaldehyde (FFPE) or as fresh frozen tissue (FFT). While both methods preserve biological samples, little is known about how they affect the quantifiable proteome. We performed a ‘bottom‐up’ proteomic analysis ( N = 20) of short and long‐term archived FFPE surgical samples of human meningiomas and compared them to matched FFT specimens. FFT facilitated a similar number of proteins assigned by MetaMorpheus compared with matched FFPE specimens (5378 vs. 5338 proteins, respectively ( p = 0.053), regardless of archival time. However, marked differences in the proteome composition were apparent between FFPE and FFT specimens. Twenty‐three percent of FFPE‐derived peptides and 8% of FFT‐derived peptides contained at least one chemical modification. Methylation and formylation were most prominent in FFPE‐derived peptides (36% and 17% of modified FFPE peptides, respectively) while, most of phosphorylation and iron modifications appeared in FFT‐derived peptides ( p < 0.001). A mean 14% (± 2.9) of peptides identified in FFPE contained at least one modified Lysine residue. Importantly, larger proteins were significantly overrepresented in FFT specimens, while FFPE specimens were enriched with smaller proteins.
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
MrLi发布了新的文献求助10
1秒前
1秒前
5秒前
gglh发布了新的文献求助10
6秒前
标致凝莲完成签到 ,获得积分10
7秒前
7秒前
8秒前
8秒前
素人发布了新的文献求助10
9秒前
打打应助陈北风采纳,获得10
11秒前
科研大捞发布了新的文献求助10
13秒前
14秒前
谦让语兰发布了新的文献求助10
14秒前
上官若男应助月亮睡啦采纳,获得10
15秒前
精明世倌完成签到 ,获得积分10
15秒前
古兰发布了新的文献求助10
15秒前
sunny发布了新的文献求助10
20秒前
在水一方应助qqq采纳,获得10
22秒前
22秒前
研友_n2rqRn完成签到,获得积分10
22秒前
Riverchase应助sunny采纳,获得10
26秒前
今后应助charint采纳,获得10
27秒前
27秒前
万能图书馆应助汩浥采纳,获得10
28秒前
陈北风发布了新的文献求助10
28秒前
南墙发布了新的文献求助10
30秒前
zzzz发布了新的文献求助10
30秒前
英姑应助gjx采纳,获得10
31秒前
苹果冬莲发布了新的文献求助200
32秒前
墨非墨完成签到 ,获得积分10
32秒前
34秒前
gogpou完成签到,获得积分10
34秒前
汉堡包应助谦让语兰采纳,获得10
34秒前
树妖三三完成签到,获得积分10
35秒前
慕青应助天涯勿忘归采纳,获得30
35秒前
小陈完成签到,获得积分10
37秒前
qqq发布了新的文献求助10
37秒前
进击的竹鼠完成签到,获得积分10
38秒前
动听健柏完成签到 ,获得积分10
40秒前
CodeCraft应助zzzz采纳,获得10
41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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Adverse weather effects on bus ridership 500
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6349916
求助须知:如何正确求助?哪些是违规求助? 8164754
关于积分的说明 17180151
捐赠科研通 5406247
什么是DOI,文献DOI怎么找? 2862457
邀请新用户注册赠送积分活动 1840069
关于科研通互助平台的介绍 1689299