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使用低通量和高通量方法对前列腺癌血清和血浆进行蛋白质组学研究。

Proteomics of prostate cancer serum and plasma using low and high throughput approaches.

作者信息

Hamza Ghaith M, Raghunathan Rekha, Ashenden Stephanie, Zhang Bairu, Miele Eric, Jarnuczak Andrew F

机构信息

Discovery Sciences, R&D, AstraZeneca, Cambridge, UK.

Bioanalytical and Biomarker, Prevail Therapeutics, Wholly Owned Subsidiary of Eli Lilly and Company, New York, NY, 10016, USA.

出版信息

Clin Proteomics. 2024 Mar 12;21(1):21. doi: 10.1186/s12014-024-09461-0.

DOI:10.1186/s12014-024-09461-0
PMID:38475692
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10929178/
Abstract

Despite progress, MS-based proteomics in biofluids, especially blood, faces challenges such as dynamic range and throughput limitations in biomarker and disease studies. In this work, we used cutting-edge proteomics technologies to construct label-based and label-free workflows, capable of quantifying approximately 2,000 proteins in biofluids. With 70µL of blood and a single depletion strategy, we conducted an analysis of a homogenous cohort (n = 32), comparing medium-grade prostate cancer patients (Gleason score: 7(3 + 4); TNM stage: T2cN0M0, stage IIB) to healthy donors. The results revealed dozens of differentially expressed proteins in both plasma and serum. We identified the upregulation of Prostate Specific Antigen (PSA), a well-known biomarker for prostate cancer, in the serum of cancer cohort. Further bioinformatics analysis highlighted noteworthy proteins which appear to be differentially secreted into the bloodstream, making them good candidates for further exploration.

摘要

尽管取得了进展,但基于质谱的生物流体蛋白质组学,尤其是血液蛋白质组学,在生物标志物和疾病研究中仍面临诸如动态范围和通量限制等挑战。在这项工作中,我们使用了前沿蛋白质组学技术构建基于标签和无标签的工作流程,能够对生物流体中约2000种蛋白质进行定量分析。我们用70微升血液和单一的去除策略,对一个同质队列(n = 32)进行了分析,将中度前列腺癌患者( Gleason评分:7(3 + 4);TNM分期:T2cN0M0,IIB期)与健康供体进行比较。结果显示,血浆和血清中都有数十种差异表达的蛋白质。我们在癌症队列的血清中发现了前列腺特异性抗原(PSA)的上调,PSA是一种众所周知的前列腺癌生物标志物。进一步的生物信息学分析突出了一些值得注意的蛋白质,这些蛋白质似乎差异分泌到血液中,使其成为进一步探索的良好候选对象。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be19/10929178/9751312abb63/12014_2024_9461_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be19/10929178/4bc7133957f2/12014_2024_9461_Fig1_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be19/10929178/d22c337f87c6/12014_2024_9461_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be19/10929178/fc822179f705/12014_2024_9461_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be19/10929178/9751312abb63/12014_2024_9461_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be19/10929178/4bc7133957f2/12014_2024_9461_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be19/10929178/7194b46e1e5a/12014_2024_9461_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be19/10929178/d22c337f87c6/12014_2024_9461_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be19/10929178/fc822179f705/12014_2024_9461_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be19/10929178/9751312abb63/12014_2024_9461_Fig5_HTML.jpg

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2
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Mol Cell Proteomics. 2023 Jun;22(6):100562. doi: 10.1016/j.mcpro.2023.100562. Epub 2023 May 2.
3
High-throughput proteomics of nanogram-scale samples with Zeno SWATH MS.
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4
A Targeted Proteomics Approach Reveals a Serum Protein Signature as a Diagnostic Biomarker for Colorectal Cancer.一种靶向蛋白质组学方法揭示血清蛋白特征可作为结直肠癌的诊断生物标志物。
J Inflamm Res. 2024 Dec 10;17:10755-10768. doi: 10.2147/JIR.S492356. eCollection 2024.
5
Evaluation of Serum Proteome Sample Preparation Methods to Support Clinical Proteomics Applications.评估支持临床蛋白质组学应用的血清蛋白质组样品制备方法。
J Am Soc Mass Spectrom. 2024 Nov 6;35(11):2659-2669. doi: 10.1021/jasms.4c00131. Epub 2024 Sep 12.
6
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Int J Mol Sci. 2024 Jul 23;25(15):8010. doi: 10.3390/ijms25158010.
使用 Zen SWATH MS 对纳克级样本进行高通量蛋白质组学分析。
Elife. 2022 Nov 30;11:e83947. doi: 10.7554/eLife.83947.
4
Advances in data-independent acquisition mass spectrometry towards comprehensive digital proteome landscape.非数据依赖采集质谱技术在构建全面数字蛋白质组图谱方面的进展
Mass Spectrom Rev. 2023 Nov-Dec;42(6):2324-2348. doi: 10.1002/mas.21781. Epub 2022 May 29.
5
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Cancers (Basel). 2021 Nov 8;13(21):5580. doi: 10.3390/cancers13215580.
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9
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Mol Omics. 2021 Feb 1;17(1):29-42. doi: 10.1039/d0mo00072h. Epub 2020 Oct 9.
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