Additional file 1 of Identification and validation of core genes for type 2 diabetes mellitus by integrated analysis of single-cell and bulk RNA-sequencing

Additional file 1: Figure S1. Visualization of cells distribution in GSE81608 and GSE86469 among clusters at different resolutions through K-means clustering algorithm. A GSE81608, the resolution is 0.7 was considered as a cutoff. B GSE86469, the resolution is 0.8 was considered as a cutoff. Figure S2. Expressions of the five DEMGs in the three cell types over trajectory time. Trend in expressions of five DEMGs during differentiation of three cell types over trajectory time. Figure S3. Expression of CDKN1C and DLK1 in different cell clusters of non-diabetic and T2DM samples. A Expression of CDKN1C in different cell clusters of non-diabetic and T2DM samples. B Expression of DLK1 in different cell clusters of non-diabetic and T2DM samples. Figure S4. Expression of CDKN1C and DLK1 in the major endocrine clusters, acinar cell and ductal cell of non-diabetic and T2DM samples. A The expression level of CDKN1C and DLK1 in major pancreatic cells of non-diabetic and T2DM patients. B The t-SNE plot of CDKN1C and DLK1 expressed in endocrine cells and exocrine cells. Figure S5. Relevance analysis between DEMGs and patient age. A Relevance analysis between CDKN1C and patient age. B Relevance analysis between DLK1 and patient age.

补充材料1：图S1。通过K-means聚类算法，可视化不同分辨率下GSE81608与GSE86469数据集的细胞在各聚类簇中的分布情况。A：针对GSE81608数据集，以分辨率0.7作为截断阈值；B：针对GSE86469数据集，以分辨率0.8作为截断阈值。
图S2：3种细胞类型中5个差异表达基因（DEMGs）随轨迹时间的表达模式，以及3类细胞分化过程中这5个DEMGs随轨迹时间的表达变化趋势。
图S3：非糖尿病与2型糖尿病（T2DM）样本的不同细胞簇中CDKN1C与DLK1的表达情况。A：非糖尿病与T2DM样本不同细胞簇中CDKN1C的表达水平；B：非糖尿病与T2DM样本不同细胞簇中DLK1的表达水平。
图S4：非糖尿病与T2DM样本的主要内分泌细胞簇、腺泡细胞及导管细胞中CDKN1C与DLK1的表达情况。A：非糖尿病与2型糖尿病患者主要胰腺细胞中CDKN1C与DLK1的表达水平；B：内分泌细胞与外分泌细胞中CDKN1C及DLK1表达的t-SNE可视化图。
图S5：DEMGs与患者年龄的相关性分析。A：CDKN1C与患者年龄的相关性分析；B：DLK1与患者年龄的相关性分析。