SOX10 requirement for melanoma tumor growth is due, in part, to immune-mediated effects is a research paper published in Cell Reports (2021). On theSindex it has a DataRank of 0. It has been cited 39 times.
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Pfizer
Grant: 9880150
National Cancer Institute
Grant: T32 GM100836
National Cancer Institute
Grant: F99 CA245552
National Cancer Institute
Grant: CA160495
National Cancer Institute
Grant: R01s CA182635
NCI NIH HHS
Grant: K00 CA245552
NCI NIH HHS
Grant: R01 CA160495
NCI NIH HHS
Grant: R01 CA182635
NCI NIH HHS
Grant: P30 CA056036
National Institutes of Health
Grant: 5T32GM100836-02
Training Program in Cellular, Biochemical, and Molecular Sciences
National Institutes of Health
Grant: 5R01CA182635-05
Targeted therapies in mutant BRAF melanoma
National Institutes of Health
Grant: 5R01CA160495-08
FOXD3 up-regulation and ERBB3 signaling as an adaptive response to BRAF inhibitors in melanoma
National Institutes of Health
Grant: 3P30CA056036-22S1
Strengthening Community Engagement in Colorectal Cancer Screening and Clinical Trial Enrollment Through a Community Health Educator
National Institutes of Health
Grant: 5F99CA245552-02
Tumor Intrinsic Regulation of Immune Evasion Pathways in Melanoma
Dr. Miriam and Sheldon G. Adelson Medical Research Foundation
Yale School of Medicine
Wistar Institute
National Institutes of Health
FWCI
2.42
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Additional file 1 of Identification of cell subpopulations associated with disease phenotypes from scRNA-seq data using PACSI
Additional file 1 of Identification of cell subpopulations associated with disease phenotypes from scRNA-seq data using PACSI
Additional file 1 of Inverse correlation between TP53 gene status and PD-L1 protein levels in a melanoma cell model depends on an IRF1/SOX10 regulatory axis
Additional file 1 of Inverse correlation between TP53 gene status and PD-L1 protein levels in a melanoma cell model depends on an IRF1/SOX10 regulatory axis
Additional file 6 of Identification of cell subpopulations associated with disease phenotypes from scRNA-seq data using PACSI
Additional file 2 of Identification of cell subpopulations associated with disease phenotypes from scRNA-seq data using PACSI
Additional file 2 of Identification of cell subpopulations associated with disease phenotypes from scRNA-seq data using PACSI
Additional file 4 of Identification of cell subpopulations associated with disease phenotypes from scRNA-seq data using PACSI
Additional file 5 of Identification of cell subpopulations associated with disease phenotypes from scRNA-seq data using PACSI
Additional file 4 of Identification of cell subpopulations associated with disease phenotypes from scRNA-seq data using PACSI
Additional file 3 of Identification of cell subpopulations associated with disease phenotypes from scRNA-seq data using PACSI
Additional file 3 of Identification of cell subpopulations associated with disease phenotypes from scRNA-seq data using PACSI
Additional file 6 of Identification of cell subpopulations associated with disease phenotypes from scRNA-seq data using PACSI
Additional file 5 of Identification of cell subpopulations associated with disease phenotypes from scRNA-seq data using PACSI