Single-Nuclei Transcriptome Profiling Reveals Intra-Tumoral Heterogeneity and Characterizes Tumor Microenvironment Architecture in a Murine Melanoma Model.
Animals
Tumor Microenvironment
/ genetics
Mice
Gene Expression Profiling
/ methods
Melanoma
/ genetics
Proto-Oncogene Proteins B-raf
/ genetics
Gene Expression Regulation, Neoplastic
Transcriptome
Single-Cell Analysis
/ methods
Disease Models, Animal
Genetic Heterogeneity
Mutation
Melanoma, Experimental
/ genetics
Cell Line, Tumor
Skin Neoplasms
/ genetics
Mice, Inbred C57BL
heterogeneity
melanoma
single-nuclei sequencing
transcriptome
tumor microenvironment
Journal
International journal of molecular sciences
ISSN: 1422-0067
Titre abrégé: Int J Mol Sci
Pays: Switzerland
ID NLM: 101092791
Informations de publication
Date de publication:
18 Oct 2024
18 Oct 2024
Historique:
received:
22
09
2024
revised:
08
10
2024
accepted:
12
10
2024
medline:
26
10
2024
pubmed:
26
10
2024
entrez:
26
10
2024
Statut:
epublish
Résumé
Malignant melanoma is an aggressive cancer, with a high risk of metastasis and mortality rates, characterized by cancer cell heterogeneity and complex tumor microenvironment (TME). Single cell biology is an ideal and powerful tool to address these features at a molecular level. However, this approach requires enzymatic cell dissociation that can influence cellular coverage. By contrast, single nucleus RNA sequencing (snRNA-seq) has substantial advantages including compatibility with frozen samples and the elimination of a dissociation-induced, transcriptional stress response. To better profile and understand the functional diversity of different cellular components in melanoma progression, we performed snRNA-seq of 16,839 nuclei obtained from tumor samples along the growth of murine syngeneic melanoma model carrying a BRAFV600E mutation and collected 9 days or 23 days after subcutaneous cell injection. We defined 11 different subtypes of functional cell clusters among malignant cells and 5 different subsets of myeloid cells that display distinct global transcriptional program and different enrichment in early or advanced stage of tumor growth, confirming that this approach was useful to accurately identify intratumor heterogeneity and dynamics during tumor evolution. The current study offers a deep insight into the biology of melanoma highlighting TME reprogramming through tumor initiation and progression, underlying further discovery of new TME biomarkers which may be potentially druggable.
Identifiants
pubmed: 39457009
pii: ijms252011228
doi: 10.3390/ijms252011228
pii:
doi:
Substances chimiques
Proto-Oncogene Proteins B-raf
EC 2.7.11.1
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : AIRC
ID : 22910
Organisme : Ministero dell'Università e Ricerca
ID : PRIN 2022 grant 2022HREZJT
Organisme : Ministero dell'Università e Ricerca
ID : PRIN 2022 PNNR grant P2022BR3SP
Organisme : Ministero dell'Università e Ricerca
ID : PNRR 3F 4 Health
Organisme : FPRC 5xmille MIUR
ID : Proactive