five

Additional file 1 of Proteomic snapshot of saliva samples predicts new pathways implicated in SARS-CoV-2 pathogenesis

收藏
DataCite Commons2024-08-17 更新2024-08-19 收录
下载链接:
https://springernature.figshare.com/articles/dataset/Additional_file_1_of_Proteomic_snapshot_of_saliva_samples_predicts_new_pathways_implicated_in_SARS-CoV-2_pathogenesis/26724248
下载链接
链接失效反馈
官方服务:
资源简介:
Additional file 1: Figure S1. Main interaction network from IPA analysis for DE proteins in saliva of the comparison of Moderate COVID (Mcov) vs Non-COVID nonsusceptible (NcNs). Figure S2. Main interaction networks from IPA analysis for DE proteins in saliva of the comparison of Moderate COVID (Mcov) vs Non-COVID susceptible (NcSus). Figure S3. Main interaction network from IPA analysis for DE proteins in saliva of the comparison of severe COVID (Scov) vs non-COVID susceptible (NcSus). Figure S4. Main interaction networks from IPA analysis for DE proteins in saliva of the comparison of severe COVID (Scov) vs non-COVID nonsusceptible (NcNs). Figure S5. Main interaction networks from IPA analysis for DE proteins in saliva of the comparison of severe COVID (Scov) vs moderate COVID (Mcov). Figure S6. Comparisons with other databases were performed to infer the main transcription factors, transcription factor targets, cell types, and tissues. Table S1. Quality-filtered nonredundant human proteins identified from saliva samples, their expression level, and their functional annotation. Table S2. Lists of DE human proteins identified from saliva samples that were used for functional analysis based on IPA. Table S3. Discriminatory pathways associated with DE human proteins herein identified in saliva samples of all conditions compared to those in all the -omic studies published related to COVID-19 by using Metascape. Table S4. Quality-filtered nonredundant microbial-produced proteins identified from the saliva samples and their expression levels.

补充材料1:图S1。基于IPA(Ingenuity通路分析),对中度新冠(Mcov)与非新冠不易感人群(NcNs)唾液中的差异表达蛋白(differentially expressed proteins)进行分析所得的核心互作网络。图S2。基于IPA分析,对中度新冠(Mcov)与非新冠易感人群(NcSus)唾液中的差异表达蛋白进行分析所得的核心互作网络。图S3。基于IPA分析,对重症新冠(Scov)与非新冠易感人群(NcSus)唾液中的差异表达蛋白进行分析所得的核心互作网络。图S4。基于IPA分析,对重症新冠(Scov)与非新冠不易感人群(NcNs)唾液中的差异表达蛋白进行分析所得的核心互作网络。图S5。基于IPA分析,对重症新冠(Scov)与中度新冠(Mcov)唾液中的差异表达蛋白进行分析所得的核心互作网络。图S6。通过与其他数据库比对,推断得到核心转录因子、转录因子靶基因、细胞类型及组织信息。表S1。从唾液样本中鉴定得到的经质量过滤的非冗余人类蛋白列表,包含其表达水平及功能注释信息。表S2。从唾液样本中鉴定得到的差异表达人类蛋白列表,该列表用于基于IPA的功能分析。表S3。本研究所有分组唾液样本中鉴定得到的差异表达人类蛋白所关联的差异通路,通过Metascape平台与已发表的全部新冠相关组学研究对比后所得结果。表S4。从唾液样本中鉴定得到的经质量过滤的非冗余微生物源蛋白列表,包含其表达水平信息。
提供机构:
figshare
创建时间:
2024-08-15
二维码
社区交流群
二维码
科研交流群
商业服务