Single cell RNA-seq analysis of melanoma. Homo sapiens

To understand the diversity of expression states within melanoma tumors, we obtained freshly resected samples, dissagregated the samples, sorted into single cells and profiled them by single-cell RNA-seq. Overall design: Tumors were disaggregated, sorted into single cells, and profiled by Smart-seq2. *Raw data files absent for samples GSM1851356 and GSM1851494.* **Submitter declares reads will be made available through dbGaP.** Please note that the processed data file (melanoma_single_cell_revised_v2.txt) contains two additional sample characteristis ("classification (based on inferred cnvs)" and "cell types for non-malignant cells").

为探究黑色素瘤肿瘤内部表达状态的多样性，我们获取了新鲜切除的肿瘤样本，对样本进行解离处理，分选得到单细胞，并通过单细胞RNA测序（single-cell RNA-seq）对其开展转录组谱分析。整体实验设计：将肿瘤组织解离后分选得到单细胞，通过Smart-seq2技术完成转录组谱分析。* 样本GSM1851356与GSM1851494的原始数据文件缺失。** 数据提交者声明，其测序读段将通过dbGaP数据库公开。请注意，处理后的数据文件melanoma_single_cell_revised_v2.txt包含两项额外的样本特征：“基于推断拷贝数变异（copy number variations, CNVs）的分类”以及“非恶性细胞的细胞类型”。