Neurological Manifestations of COVID-19 Feature T Cell Exhaustion and Dedifferentiated Monocytes in Cerebrospinal Fluid by Heming et al.

Table S1 - Characteristics of patients, technical information on single-cell RNA sequencing, Related to STAR Methods.
Table S2 - Marker genes of clusters, differentially expressed (DE) genes of mono2 vs. mono1 and mono3, TCR Sequencing Primers, Microglia marker and enrichment analysis of DE genes of mono2, Related to STAR Methods, Figure 1, Figure 2, Figure S1.
Table S3 - Differentially expressed (DE) genes of Neuro-COVID vs. IIH and Neuro-COVID vs. VE, Related to Figure 2.
Table S4 - Marker genes of T cell subclusters, T cell exhaustion and ISG and signatures, CSEA of CD4+ T cell clusters, DE genes of severe vs. mild Neuro-COVID, Related to Figure 3 and Figure S2.
Table S5 - Meta analysis and regression analysis, Related to STAR Methods.

附表S1 — 患者特征、单细胞RNA测序（single-cell RNA sequencing）相关技术信息，关联《STAR方法》。
附表S2 — 细胞簇标志物基因、单核细胞亚群2（mono2）分别与单核细胞亚群1（mono1）、单核细胞亚群3（mono3）的差异表达（DE）基因、T细胞受体测序引物、小胶质细胞标志物，以及单核细胞亚群2差异表达基因的富集分析，关联《STAR方法》、图1、图2及补充图S1。
附表S3 — 神经型新冠（Neuro-COVID）与特发性颅内高压（IIH）、神经型新冠与VE的差异表达（DE）基因，关联图2。
附表S4 — T细胞亚簇标志物基因、T细胞耗竭与干扰素刺激基因（ISG）特征集、CD4阳性T细胞簇的CSEA分析、重症与轻症神经型新冠的差异表达（DE）基因，关联图3及补充图S2。
附表S5 — 荟萃分析与回归分析，关联《STAR方法》。