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用于转化研究和HIV相关恶性肿瘤机制的致癌蛋白质组学方法。

Oncogenic Proteomics Approaches for Translational Research and HIV-Associated Malignancy Mechanisms.

作者信息

Alvarez-Rivera Eduardo, Ortiz-Hernández Emanuel J, Lugo Elyette, Lozada-Reyes Lorraine M, Boukli Nawal M

机构信息

Biomedical Proteomics Facility, Department of Microbiology and Immunology, Universidad Central del Caribe, School of Medicine, Bayamón, PR 00960, USA.

Department of Biology, Universidad de Puerto Rico, Bayamón, PR 00960, USA.

出版信息

Proteomes. 2023 Jul 4;11(3):22. doi: 10.3390/proteomes11030022.

Abstract

Recent advances in the field of proteomics have allowed extensive insights into the molecular regulations of the cell proteome. Specifically, this allows researchers to dissect a multitude of signaling arrays while targeting for the discovery of novel protein signatures. These approaches based on data mining are becoming increasingly powerful for identifying both potential disease mechanisms as well as indicators for disease progression and overall survival predictive and prognostic molecular markers for cancer. Furthermore, mass spectrometry (MS) integrations satisfy the ongoing demand for in-depth biomarker validation. For the purpose of this review, we will highlight the current developments based on MS sensitivity, to place quantitative proteomics into clinical settings and provide a perspective to integrate proteomics data for future applications in cancer precision medicine. We will also discuss malignancies associated with oncogenic viruses such as Acquire Immunodeficiency Syndrome (AIDS) and suggest novel mechanisms behind this phenomenon. Human Immunodeficiency Virus type-1 (HIV-1) proteins are known to be oncogenic per se, to induce oxidative and endoplasmic reticulum stresses, and to be released from the infected or expressing cells. HIV-1 proteins can act alone or in collaboration with other known oncoproteins, which cause the bulk of malignancies in people living with HIV-1 on ART.

摘要

蛋白质组学领域的最新进展使人们能够深入了解细胞蛋白质组的分子调控机制。具体而言,这使研究人员能够剖析大量信号传导阵列,同时致力于发现新的蛋白质特征。这些基于数据挖掘的方法在识别潜在疾病机制以及疾病进展指标和癌症总体生存预测与预后分子标志物方面正变得越来越强大。此外,质谱(MS)整合满足了对深入生物标志物验证的持续需求。出于本综述的目的,我们将重点介绍基于MS灵敏度的当前进展,将定量蛋白质组学应用于临床环境,并为整合蛋白质组学数据以用于癌症精准医学的未来应用提供一个视角。我们还将讨论与致癌病毒相关的恶性肿瘤,如获得性免疫缺陷综合征(AIDS),并提出这一现象背后的新机制。已知1型人类免疫缺陷病毒(HIV-1)蛋白本身具有致癌性,可诱导氧化应激和内质网应激,并从受感染或表达的细胞中释放出来。HIV-1蛋白可以单独发挥作用,也可以与其他已知的癌蛋白协同作用,这些癌蛋白导致了接受抗逆转录病毒治疗的HIV-1感染者中的大部分恶性肿瘤。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/354f/10366845/241319b8633c/proteomes-11-00022-g002.jpg

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