Application of Sequencing Technologies in Cancers
A special issue of Genes (ISSN 2073-4425). This special issue belongs to the section "Human Genomics and Genetic Diseases".
Deadline for manuscript submissions: 20 November 2025 | Viewed by 28
Special Issue Editor
Special Issue Information
Dear Colleagues,
Sequencing technologies, including bulk, spatial transcriptomics, and single-cell approaches, have been employed broadly to investigate molecular changes and the underlying mechanisms of cancer development, progression, and metastasis.
For instance, single-cell and spatial transcriptomics have revolutionized cancer research by providing unprecedented resolution and spatial context to study tumor biology. Single-cell transcriptomics allows researchers to analyze gene expression at the individual cell level, uncovering the immense heterogeneity within tumors. This technology identifies rare cell populations, such as cancer stem cells or immune cells, that play critical roles in tumor progression, metastasis, and therapy resistance. By understanding these cellular dynamics, researchers can develop targeted therapies and predict treatment responses more accurately.
Spatial transcriptomics, such as VisiumHD, Xenium by 10X Genomics, etc., have provided spatial context while investigating cellular biology at the single-cell level. In a native biology state, individual cells function in a complex network of gene interactions spatially and communicate with their surroundings. This spatial context is crucial for understanding tumor invasion, immune evasion, and the formation of metastatic niches. Ultimately, single-cell and spatial transcriptomics are transforming cancer research by bridging the gap between molecular insights and tissue-level pathology, paving the way for personalized and effective cancer treatments.
Although enormous progress and fruitful results have been achieved for diverse cancers, great efforts are needed to further promote the development of precision medicine. Specifically, the exploration of novel biomarkers and new computational approaches is crucial for the better diagnosis, prognosis, and treatment of cancer patients. In this Special Issue, entitled "Application of Sequencing Technologies in Cancers", we aimed to collect novel findings and methods in the field of cancer biology related to single-cell sequencing data and spatial transcriptomics with bioinformatics approaches in order to illuminate different types of tumors. We welcome original research articles and reviews covering the investigation of new cancer-associated biomarkers and potential underlying mechanisms, as well as novel computational strategies for analyzing tumors.
Dr. Limin Chen
Guest Editor
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Keywords
- sequencing technologies
- single-cell
- spatial transcriptomics
- cancer
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