Differentially abundant features across in vivo and in vitro untargeted metabolomics datasets.
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https://figshare.com/articles/dataset/Differentially_abundant_features_across_in_vivo_and_in_vitro_untargeted_metabolomics_datasets_/22967181
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Related to Fig 5. Each tab lists the set of untargeted metabolomics features that were differentially abundant (linear mixed effects models, absolute log2 fold change estimate > 1 and FDR-adjusted p-value < 0.2) in at least 1 intestinal site between E. lenta-colonized and GF mice and that were also detected in in vitro untargeted metabolomics experiments, separated by strain and by feature annotation status (identified/unknown). For each feature, the corresponding log2 fold change and significance in the in vitro dataset(s) are listed for comparison. Features are ordered by their effect size in cecal contents.
(XLSX)
本内容与图5相关。每个工作表(tab)均列出了符合以下条件的非靶向代谢组学特征(untargeted metabolomics features)集合:在定植迟缓埃格特菌(E. lenta)的小鼠与无菌(GF,germ-free)小鼠中,至少在1个肠道位点呈现差异丰度(判定标准为:线性混合效应模型计算得到的绝对log2倍数变化估计值>1,且FDR校正P值(FDR-adjusted p-value)<0.2),且该特征可在体外(in vitro)非靶向代谢组学实验中被检测到;上述特征将按菌株以及特征注释状态(已注释/未注释)进行分组。针对每个特征,均列出其在体外数据集对应的log2倍数变化与显著性水平以供对比。所有特征均按其在盲肠内容物中的效应量进行排序。(XLSX)
创建时间:
2023-05-19



