利用微阵列分析评估转录肿瘤微环境对免疫治疗的反应:从收集肿瘤到数据分析。

4区 生物学 Q4 Biochemistry, Genetics and Molecular Biology
Methods in cell biology Pub Date : 2025-01-01 Epub Date: 2025-02-09 DOI:10.1016/bs.mcb.2025.01.004
Olga Cormier, Maria Eugenia Davola, Susan Collins, Karen Mossman
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引用次数: 0

摘要

近年来,对形成免疫系统和肿瘤动态平衡的细胞和分子过程有了更好的了解。越来越多的证据表明,肿瘤微环境(TME)中的细胞和非细胞成分可以重新编程对免疫疗法的反应。免疫治疗的转录组分析对于研究癌症的信号通路是非常宝贵的。肿瘤的转录特征使研究人员能够预测对治疗的可能反应,并在观察到任何表型变化之前评估治疗对肿瘤的影响。尽管单细胞RNA测序(scRNAseq)的兴起,但它仍然昂贵,技术上具有挑战性,并且在许多情况下,不必要的详细。这里提出的是一个协议描述处理肿瘤的微阵列转录组分析,以评估对治疗的反应。这种方法已被证明是成本效益的情况下,广泛的转录反应正在调查。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluating transcriptional tumour microenvironment response to immunotherapy using microarray analysis: From harvesting tumours to data analysis.

In the recent years, a better understanding of the cellular and molecular processes that shape the dynamic balance of the immune system and the tumour has been gained. Accumulating evidence shows that cellular and acellular components in the tumour microenvironment (TME) can reprogram the response to immunotherapies. Transcriptome analyses of immunotherapy treatments have been invaluable for studying signalling pathways in cancer. Transcriptional characterization of tumours has allowed researchers to both predict the likely response to therapy as well as to evaluate the effect of therapy on tumours before any phenotypic changes are observed. Despite the rise of single-cell RNA sequencing (scRNAseq) it remains costly and technically challenging and, in many situations, unnecessarily detailed. Presented here is a protocol describing processing of tumours for microarray transcriptome analysis to evaluate the responses to therapy. This method has proven to be cost-effective in cases when broad transcriptional responses are being investigated.

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来源期刊
Methods in cell biology
Methods in cell biology 生物-细胞生物学
CiteScore
3.10
自引率
0.00%
发文量
125
审稿时长
3 months
期刊介绍: For over fifty years, Methods in Cell Biology has helped researchers answer the question "What method should I use to study this cell biology problem?" Edited by leaders in the field, each thematic volume provides proven, state-of-art techniques, along with relevant historical background and theory, to aid researchers in efficient design and effective implementation of experimental methodologies. Over its many years of publication, Methods in Cell Biology has built up a deep library of biological methods to study model developmental organisms, organelles and cell systems, as well as comprehensive coverage of microscopy and other analytical approaches.
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