{"title":"Integrative analysis of lung multiparametric flow cytometry data to study immune cell dynamics in tumors.","authors":"Romina E Araya, Romina S Goldszmid","doi":"10.1016/bs.mcb.2025.06.002","DOIUrl":null,"url":null,"abstract":"<p><p>Lung cancer remains a leading cause of cancer-related deaths, highlighting the importance of understanding the lung's immune landscape, which plays a key role in tumor progression and response to therapy. As an organ constantly exposed to environmental and microbial challenges, the lung's unique tumor microenvironment is shaped by these additional stimuli, influencing immune responses. Here, we present a standardized protocol to examine dynamic changes in the lung immune cell compartment in response to bacterial challenges in a genetically engineered mouse model of lung cancer. This method ensures efficient tissue processing and dissociation while preserving cell viability for high-throughput flow cytometry. Additionally, we describe an integrative analysis approach to systematically analyze data across tissues and conditions, providing a comprehensive framework for studying immune cell dynamics in lung carcinoma.</p>","PeriodicalId":18437,"journal":{"name":"Methods in cell biology","volume":"201 ","pages":"121-153"},"PeriodicalIF":0.0000,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Methods in cell biology","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1016/bs.mcb.2025.06.002","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/7/21 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"Biochemistry, Genetics and Molecular Biology","Score":null,"Total":0}
引用次数: 0
Abstract
Lung cancer remains a leading cause of cancer-related deaths, highlighting the importance of understanding the lung's immune landscape, which plays a key role in tumor progression and response to therapy. As an organ constantly exposed to environmental and microbial challenges, the lung's unique tumor microenvironment is shaped by these additional stimuli, influencing immune responses. Here, we present a standardized protocol to examine dynamic changes in the lung immune cell compartment in response to bacterial challenges in a genetically engineered mouse model of lung cancer. This method ensures efficient tissue processing and dissociation while preserving cell viability for high-throughput flow cytometry. Additionally, we describe an integrative analysis approach to systematically analyze data across tissues and conditions, providing a comprehensive framework for studying immune cell dynamics in lung carcinoma.
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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