Multi-Scale Transcriptomics Redefining the Tumor Immune Microenvironment

The tumor immune microenvironment (TIME) is closely involved in tumor initiation, malignant progression, immune escape, and response to immunotherapy. With the continued development of high-throughput sequencing technologies, transcriptomic approaches have become essential for examining the cellular and molecular features of the TIME. Bulk RNA sequencing offers tissue-level gene expression profiles and allows the estimation of immune cell composition through computational deconvolution. Single-cell RNA sequencing provides finer resolution, revealing cellular heterogeneity, lineage relationships, and functional states. Spatial transcriptomics (ST) retains the native anatomical context, making it possible to localize gene expression patterns and cell-cell interactions within intact tissues. These approaches, when considered together, have shifted TIME research from averaged measurements toward a more detailed and mechanistic understanding. This review summarizes the principles, applications and limitations of bulk, single-cell and spatial transcriptomic methods, highlighting emerging strategies for integrative analysis. Such multi-scale frameworks are increasingly important for studying immune dynamics and may contribute to the development of more precise biotechnological and immunotherapeutic strategies.

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Publication Details

Journal
BioTech
Published
2026-01-15
DOI
https://doi.org/10.3390/biotech15010007
Citations
1
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
22.24

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article

Multi-Scale Transcriptomics Redefining the Tumor Immune Microenvironment

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1 citations
BioTech
Single-cell and spatial transcriptomics
22.24
article

Multi-Scale Transcriptomics Redefining the Tumor Immune Microenvironment

Youjin Hao, Bo Li, Jing Sun, Yitong Zhai, Yingxue Xiao, Yue Zou, Dan Qin, Minyi Zhang, Tong Li, Yingying Liu, Lingling Xie
article en
1 citations

Abstract

The tumor immune microenvironment (TIME) is closely involved in tumor initiation, malignant progression, immune escape, and response to immunotherapy. With the continued development of high-throughput sequencing technologies, transcriptomic approaches have become essential for examining the cellular and molecular features of the TIME. Bulk RNA sequencing offers tissue-level gene expression profiles and allows the estimation of immune cell composition through computational deconvolution. Single-cell RNA sequencing provides finer resolution, revealing cellular heterogeneity, lineage relationships, and functional states. Spatial transcriptomics (ST) retains the native anatomical context, making it possible to localize gene expression patterns and cell-cell interactions within intact tissues. These approaches, when considered together, have shifted TIME research from averaged measurements toward a more detailed and mechanistic understanding. This review summarizes the principles, applications and limitations of bulk, single-cell and spatial transcriptomic methods, highlighting emerging strategies for integrative analysis. Such multi-scale frameworks are increasingly important for studying immune dynamics and may contribute to the development of more precise biotechnological and immunotherapeutic strategies.

BioTechVol. 15(1)
Chongqing Normal University (CN), Toxicologie, Pharmacologie et Signalisation Cellulaire (FR)
Centre Scientifique et Technique du Bâtiment
Openalex Percentile: Top 3%
Single-cell and spatial transcriptomics
22.24
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