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Umbilical cord blood artificial mixtures validation dataset: An Enhanced DNA Methylation Library for Deconvoluting Peripheral Blood. Umbilical cord blood artificial mixtures validation dataset: An Enhanced DNA Methylation Library for Deconvoluting Peripheral Blood

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NIAID Data Ecosystem2026-03-12 收录
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https://www.ncbi.nlm.nih.gov/bioproject/PRJNA750131
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DNA methylation microarrays have been extensively used for understanding cell type composition in complex tissue samples. Here we expand on existing libraries for reference-based deconvolution of blood DNA methylation data assayed using the Illumina HumanMethylationEPIC array to include 12 different leukocyte subtypes (neutrophils, eosinophils, basophils, monocytes, B cells naïve and memory, CD4+ and CD8+ naïve and memory cells, natural killers, and T regulatory cells). Application of the IDOL algorithm for identifying optimal libraries for the deconvolution of blood-derived DNA methylation data led to to a library consisting of 1200 CpGs. The accuracy of deconvolution estimates obtained using our IDOL-optimized library was evaluated using artificial mixtures with known cellular composition and in samples were both whole-blood DNA methylation data and FACS information were available. We further showcase potential applications of our expanded library using publicly available cancer, aging, and autoimmune disease data sets. Overall design: Bisulphite converted DNA from 12 umbilical cord blood artificial mixtures with six cell types, including CD8T, CD4T, NK, B cell, monocyte, and granulocyte, were hybridised to the Illumina Infinium HumanMethylationEPIC Beadchip v1.0_B4

DNA甲基化微阵列(DNA methylation microarrays)已被广泛应用于解析复杂组织样本中的细胞类型组成。本研究针对采用因美纳(Illumina)HumanMethylationEPIC芯片检测的血液DNA甲基化数据的基于参考的反卷积任务,拓展了现有参考文库,新增纳入12种不同的白细胞亚型:中性粒细胞、嗜酸性粒细胞、嗜碱性粒细胞、单核细胞、初始与记忆性B细胞、CD4阳性及CD8阳性的初始与记忆性细胞、自然杀伤细胞(natural killers,NK)以及调节性T细胞。本研究采用IDOL算法筛选适用于血液来源DNA甲基化数据反卷积的最优参考文库,最终得到包含1200个CpG位点的文库。我们采用已知细胞组成的人工混合样本,以及同时具备全血DNA甲基化数据与荧光激活细胞分选术(Fluorescence-Activated Cell Sorting, FACS)信息的样本,对基于IDOL优化文库的反卷积估计准确性进行了评估。我们还利用公开的癌症、衰老及自身免疫疾病数据集,展示了该拓展文库的潜在应用场景。实验设计方案:将来自12份脐带血人工混合样本的亚硫酸氢盐转化DNA(Bisulphite converted DNA,共包含6种细胞类型:CD8阳性T细胞、CD4阳性T细胞、自然杀伤细胞、B细胞、单核细胞及粒细胞)与因美纳Infinium HumanMethylationEPIC Beadchip v1.0_B4芯片进行杂交。
创建时间:
2021-07-27
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