<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Hu C</submitter><funding>Key Research and Development Program of Heilongjiang Province</funding><funding>Heilongjiang Postdoctoral Fund</funding><funding>STI2030-Major Projects</funding><funding>National Science and Technology Major Program</funding><funding>China Postdoctoral Science Foundation</funding><funding>National Natural Science Foundation of China</funding><pagination>9956</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12562883</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>26(20)</volume><pubmed_abstract>Melanoma shows heterogeneity across body sites like skin, acral skin, and the uvea, driven by molecular characteristics and genetic variations. However, comparative studies exploring the heterogeneity of melanoma across different anatomical sites remain limited, hindering a comprehensive understanding of its underlying biology. We proposed a research framework through bioinformatics to analyze the tumor ecosystems of cutaneous, acral, and uveal melanoma, from molecular characteristics to genetic variations at single-cell resolution. We found that oxidative phosphorylation (OXPHOS) is a critical driver of tumor cell evolution, with abnormal ribosomal gene and tumor suppressor expression observed in uveal melanoma (UM). Additionally, we screened for potential drug targets and drugs against t</pubmed_abstract><journal>International journal of molecular sciences</journal><pubmed_title>Dissecting Melanoma Ecosystem Heterogeneity from Molecular Characteristics to Genetic Variation at Single-Cell Resolution.</pubmed_title><pmcid>PMC12562883</pmcid><funding_grant_id>2021ZD0202400</funding_grant_id><funding_grant_id>2024ZD0530500</funding_grant_id><funding_grant_id>2024M760709</funding_grant_id><funding_grant_id>2024ZX12C27</funding_grant_id><funding_grant_id>U23A20166</funding_grant_id><funding_grant_id>62172131</funding_grant_id><funding_grant_id>LBH-Z24210</funding_grant_id><funding_grant_id>62472131</funding_grant_id><pubmed_authors>Li X</pubmed_authors><pubmed_authors>Hu C</pubmed_authors><pubmed_authors>Ou Q</pubmed_authors><pubmed_authors>Li T</pubmed_authors><pubmed_authors>Yang K</pubmed_authors><pubmed_authors>Zhang Y</pubmed_authors><pubmed_authors>Mi W</pubmed_authors><pubmed_authors>Qi B</pubmed_authors><pubmed_authors>Li L</pubmed_authors><pubmed_authors>Yu H</pubmed_authors></additional><is_claimable>false</is_claimable><name>Dissecting Melanoma Ecosystem Heterogeneity from Molecular Characteristics to Genetic Variation at Single-Cell Resolution.</name><description>Melanoma shows heterogeneity across body sites like skin, acral skin, and the uvea, driven by molecular characteristics and genetic variations. However, comparative studies exploring the heterogeneity of melanoma across different anatomical sites remain limited, hindering a comprehensive understanding of its underlying biology. We proposed a research framework through bioinformatics to analyze the tumor ecosystems of cutaneous, acral, and uveal melanoma, from molecular characteristics to genetic variations at single-cell resolution. We found that oxidative phosphorylation (OXPHOS) is a critical driver of tumor cell evolution, with abnormal ribosomal gene and tumor suppressor expression observed in uveal melanoma (UM). Additionally, we screened for potential drug targets and drugs against t</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Oct</publication><modification>2026-05-15T03:17:04.706Z</modification><creation>2026-05-15T03:12:14.361Z</creation></dates><accession>S-EPMC12562883</accession><cross_references><pubmed>41155250</pubmed><doi>10.3390/ijms26209956</doi></cross_references></HashMap>