A multi-omics based anti-inflammatory immune signature characterizes Long COVID Syndrome - Kovarik et al.

Supplementary Table S1 related to Figure 1: Student's t-test statistics between long-covid and recovered, long-covid and healthy as well as recovered and healthy are shown. For each identified protein, log2 label-free quantification (LFQ) intensities, numbers of identified peptides, numbers of identified unique peptides as well as the sequence coverage is listed. Supplementary Table S2 related to Figure 2: Student's t-test statistics between long-covid and recovered, long-covid and healthy as well as recovered and healthy are shown. For each identified eicosanoid normalized area under the curve (nAUC) values are listed. Supplementary Table S3 related to Figure 3: Student's t-test statistics between long-covid and recovered, long-covid and healthy as well as recovered and healthy are shown. For each identified metabolite log2 concentrations in µM are listed. Supplementary Table S4 related to Figure 3: Heatmap data matrix. Normalized values generated by dividing the concentration of each lipid through the average concentration of this lipid over all samples.与图1相关的补充表S1：展示了长新冠患者、康复者与健康人群两两比较的学生t检验（Student's t-test）统计结果。针对每一个已鉴定蛋白质，表格列出了其二进制对数转换的无标记定量（label-free quantification, LFQ）强度值、已鉴定肽段数、已鉴定唯一肽段数以及序列覆盖度。 与图2相关的补充表S2：展示了长新冠患者、康复者与健康人群两两比较的学生t检验（Student's t-test）统计结果。针对每一个已鉴定类二十烷酸，表格列出了其标准化曲线下面积（normalized area under the curve, nAUC）数值。 与图3相关的补充表S3：展示了长新冠患者、康复者与健康人群两两比较的学生t检验（Student's t-test）统计结果。针对每一个已鉴定代谢物，表格列出了其以微摩尔（µM）为单位的浓度的二进制对数转换值。 与图3相关的补充表S4：该表格为热图数据矩阵，其中的标准化数值通过将每一种脂质的浓度除以该脂质在所有样本中的平均浓度计算得到。