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Evaluation of Tumor-infiltrating Leukocyte Subsets in a Subcutaneous Tumor Model
Published on: April 13, 2015
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Single-Nuclei Transcriptome Profiling Reveals Intra-Tumoral Heterogeneity and Characterizes Tumor Microenvironment
Sushant Parab1,2, Valery Sarlo1,2, Sonia Capellero2,3
1Department of Oncology, University of Torino, 10060 Candiolo, Italy.
International Journal of Molecular Sciences
|October 26, 2024
Summary
Single nucleus RNA sequencing reveals melanoma's complex tumor microenvironment and cell diversity. This method accurately profiles intratumor heterogeneity and dynamics during tumor evolution, aiding biomarker discovery.
Area of Science:
- Oncology
- Molecular Biology
- Genomics
Background:
- Malignant melanoma is an aggressive cancer with high metastasis and mortality.
- Cancer cell heterogeneity and the tumor microenvironment (TME) are key challenges in melanoma research.
- Single-cell RNA sequencing (scRNA-seq) is powerful but limited by dissociation-induced stress; single nucleus RNA sequencing (snRNA-seq) offers advantages like frozen sample compatibility and avoiding this stress.
Purpose of the Study:
- To profile and understand the functional diversity of cellular components during melanoma progression.
- To investigate intratumor heterogeneity and dynamics using snRNA-seq in a murine melanoma model.
- To identify potential new biomarkers within the TME for therapeutic targeting.
Main Methods:
- Performed snRNA-seq on 16,839 nuclei from murine syngeneic melanoma models.
- Samples were collected at 9 and 23 days post-subcutaneous injection, representing early and advanced tumor growth stages.
- Utilized a BRAFV600E mutated murine melanoma model.
Main Results:
- Defined 11 distinct subtypes of malignant cell clusters.
- Identified 5 different subsets of myeloid cells with unique transcriptional programs.
- Observed differential enrichment of cell subsets in early versus advanced tumor stages, confirming intratumor heterogeneity and dynamics.
- Demonstrated snRNA-seq's utility in accurately identifying these features.
Conclusions:
- snRNA-seq provides deep insights into melanoma biology and TME reprogramming during tumor evolution.
- The study highlights the dynamic nature of the TME in melanoma progression.
- Findings suggest potential for discovering novel, druggable TME biomarkers.

