整合单细胞测序数据以揭示癌症中铁凋亡机制的进展。

IF 2.5 3区 生物学 Q3 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Briefings in Functional Genomics Pub Date : 2024-12-06 DOI:10.1093/bfgp/elae025
Zhaolan Du, Yi Shi, Jianjun Tan
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引用次数: 0

摘要

铁中毒是一种常见的由异常代谢和生化机制引起的程序性细胞死亡,经常由细胞压力引发。由于各种代谢途径(包括脂肪酸代谢和铁调节)对脂质过氧化和铁中毒的细胞反应有重大影响,铁中毒的发生主要与病理生理条件有关。这种细胞死亡模式是多种疾病发生发展的基本因素,从而提供了一系列治疗靶点。单细胞测序技术能深入了解单个细胞的细胞和分子特征,而批量测序技术则能以更概括的方式提供数据。单细胞测序技术已在癌症研究领域得到广泛应用。本文回顾了利用单细胞测序技术在铁突变相关癌症研究中取得的进展,包括铁突变相关通路、免疫检查点、生物标记物以及肿瘤中铁突变相关细胞群的鉴定。总的来说,利用单细胞测序技术有可能大大有助于研究与铁凋亡相关的机理调控途径。此外,它还能揭示铁突变与癌症之间错综复杂的联系。这项技术在推进肿瘤诊断、靶向治疗和预后预测方面大有可为。
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Advances in integrating single-cell sequencing data to unravel the mechanism of ferroptosis in cancer.

Ferroptosis, a commonly observed type of programmed cell death caused by abnormal metabolic and biochemical mechanisms, is frequently triggered by cellular stress. The occurrence of ferroptosis is predominantly linked to pathophysiological conditions due to the substantial impact of various metabolic pathways, including fatty acid metabolism and iron regulation, on cellular reactions to lipid peroxidation and ferroptosis. This mode of cell death serves as a fundamental factor in the development of numerous diseases, thereby presenting a range of therapeutic targets. Single-cell sequencing technology provides insights into the cellular and molecular characteristics of individual cells, as opposed to bulk sequencing, which provides data in a more generalized manner. Single-cell sequencing has found extensive application in the field of cancer research. This paper reviews the progress made in ferroptosis-associated cancer research using single-cell sequencing, including ferroptosis-associated pathways, immune checkpoints, biomarkers, and the identification of cell clusters associated with ferroptosis in tumors. In general, the utilization of single-cell sequencing technology has the potential to contribute significantly to the investigation of the mechanistic regulatory pathways linked to ferroptosis. Moreover, it can shed light on the intricate connection between ferroptosis and cancer. This technology holds great promise in advancing tumor-wide diagnosis, targeted therapy, and prognosis prediction.

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来源期刊
Briefings in Functional Genomics
Briefings in Functional Genomics BIOTECHNOLOGY & APPLIED MICROBIOLOGY-GENETICS & HEREDITY
CiteScore
6.30
自引率
2.50%
发文量
37
审稿时长
6-12 weeks
期刊介绍: Briefings in Functional Genomics publishes high quality peer reviewed articles that focus on the use, development or exploitation of genomic approaches, and their application to all areas of biological research. As well as exploring thematic areas where these techniques and protocols are being used, articles review the impact that these approaches have had, or are likely to have, on their field. Subjects covered by the Journal include but are not restricted to: the identification and functional characterisation of coding and non-coding features in genomes, microarray technologies, gene expression profiling, next generation sequencing, pharmacogenomics, phenomics, SNP technologies, transgenic systems, mutation screens and genotyping. Articles range in scope and depth from the introductory level to specific details of protocols and analyses, encompassing bacterial, fungal, plant, animal and human data. The editorial board welcome the submission of review articles for publication. Essential criteria for the publication of papers is that they do not contain primary data, and that they are high quality, clearly written review articles which provide a balanced, highly informative and up to date perspective to researchers in the field of functional genomics.
期刊最新文献
Sesame Genomic Web Resource (SesameGWR): a well-annotated data resource for transcriptomic signatures of abiotic and biotic stress responses in sesame (Sesamum indicum L.). A comprehensive survey of dimensionality reduction and clustering methods for single-cell and spatial transcriptomics data. AMLdb: a comprehensive multi-omics platform to identify biomarkers and drug targets for acute myeloid leukemia. Advances in integrating single-cell sequencing data to unravel the mechanism of ferroptosis in cancer. Long-read RNA sequencing can probe organelle genome pervasive transcription.
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