Recent advances in blood‐related proteomics

作者
Lynne Thadikkaran,Michèle A. Siegenthaler,David Crettaz,Pierre‐Alain Queloz,Philippe Schneider,Jean‐Daniel Tissot
出处
期刊:Proteomics [Wiley]
卷期号:5 (12): 3019-3034 被引量:186
标识
DOI:10.1002/pmic.200402053
摘要

Blood is divided in two compartments, namely, plasma and cells. The latter contain red blood cells, leukocytes, and platelets. From a descriptive medical discipline, hematology has evolved towards a pioneering discipline where molecular biology has permitted the development of prognostic and diagnostic indicators for disease. The recent advance in MS and protein separation now allows similar progress in the analysis of proteins. Proteomics offers great promise for the study of proteins in plasma/serum, indeed a number of proteomics databases for plasma/serum have been established. This is a very complex body fluid containing lipids, carbohydrates, amino acids, vitamins, nucleic acids, hormones, and proteins. About 1500 different proteins have recently been identified, and a number of potential new markers of diseases have been characterized. Here, examples of the enormous promise of plasma/serum proteomic analysis for diagnostic/prognostic markers and information on disease mechanism are given. Within the blood are also a large number of different blood cell types that potentially hold similar information. Proteomics of red blood cells, until now, has not improved our knowledge of these cells, in contrast to the major progresses achieved while studying platelets and leukocytes. In the future, proteomics will change several aspects of hematology.

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
郝宇发布了新的文献求助10
1秒前
1秒前
阿乾应助XFF采纳,获得10
2秒前
星辰大海应助五十米采纳,获得20
3秒前
yydssss完成签到,获得积分10
3秒前
jcs发布了新的文献求助10
4秒前
4秒前
小马甲应助Diya.采纳,获得10
4秒前
5秒前
大模型应助cling采纳,获得10
5秒前
付怀松给付怀松的求助进行了留言
7秒前
Vghdbgusjhd发布了新的文献求助10
7秒前
春风发布了新的文献求助10
7秒前
情怀应助MOOD采纳,获得10
8秒前
8秒前
yaaaaajie完成签到,获得积分10
8秒前
慕青应助一往之前采纳,获得10
9秒前
11完成签到,获得积分10
9秒前
10秒前
动听中心完成签到,获得积分10
11秒前
yk发布了新的文献求助10
13秒前
灵巧书文发布了新的文献求助10
13秒前
alex_angew发布了新的文献求助10
15秒前
Wenyilong发布了新的文献求助10
15秒前
16秒前
xiaou完成签到,获得积分10
16秒前
Lucas应助上岸采纳,获得10
17秒前
烟花应助默天采纳,获得10
17秒前
18秒前
SciGPT应助Vghdbgusjhd采纳,获得10
18秒前
燃烧你的梦完成签到,获得积分10
19秒前
lllll发布了新的文献求助10
19秒前
逗荼消新卜桐完成签到 ,获得积分10
19秒前
锤锤锤发布了新的文献求助10
19秒前
20秒前
apple完成签到,获得积分10
20秒前
21秒前
清爽的从灵完成签到,获得积分10
21秒前
21秒前
gjww发布了新的文献求助10
21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
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
煤炭地下气化渗流燃烧方法的研究 400
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 7632459
求助须知:如何正确求助?哪些是违规求助? 9206857
关于积分的说明 19745945
捐赠科研通 7201833
什么是DOI,文献DOI怎么找? 3274824
关于科研通互助平台的介绍 2436740
邀请新用户注册赠送积分活动 2271539