Additional file 2 of Integrative omics reveals subtle molecular perturbations following ischemic conditioning in a porcine kidney transplant model

Additional file 2: Table S1. Transcriptome sequence alignments. An average sequence alignment of 82% was achieved across all samples. Table S2. List of transcripts identified by transcriptomics. A total of 19,220 transcripts were successfully identified across groups. Table S3. Transcripts differentially expressed between RIC and Non-RIC groups. Table S4. qPCR validation on a panel of targets from discovery transcriptomics. IL1B, LTB4R, PDZD3, SLC16A3, and RASL10A were quantified by qPCR. We observed a slight increase in RIC induced SLC16A3 transcripts, but overall, none of the genes quantified reached statistically significance between RIC and non-RIC, with all having a p-value of > 0.2. Table S5. List of proteins identified by proteomics. A total of 7,546 proteins were successfully identified across groups. Table S6. Proteins differentially expressed between RIC and Non-RIC groups. Table S7. List of proteins and phosphosites identified by phosphoproteomics. A total of 3,524 phosphosites were successfully identified across groups.

附加文件2：表S1. 转录组序列比对。在所有样本中，实现了平均82%的序列比对率。表S2. 转录组学识别的转录本列表。在各个组别中，共成功识别19,220个转录本。表S3. RIC组与Non-RIC组间差异表达的转录本。表S4. 对发现转录组学中目标面板的qPCR验证。通过qPCR对IL1B、LTB4R、PDZD3、SLC16A3和RASL10A进行了量化。我们观察到RIC诱导的SLC16A3转录本略有增加，但总体而言，在RIC与非RIC组之间，所量化的所有基因均未达到统计学显著性，所有基因的p值均大于0.2。表S5. 蛋白质组学识别的蛋白质列表。在各个组别中，共成功识别7,546个蛋白质。表S6. RIC组与Non-RIC组间差异表达的蛋白质。表S7. 蛋白质磷酸化组学识别的蛋白质和磷酸化位点列表。在各个组别中，共成功识别3,524个磷酸化位点。