Table A3: RNA-seq Data for siRNA PRLR vs siRNA NTC in MCF-7

<p><strong>Table A3: RNA-seq Data for siRNA PRLR vs siRNA NTC in MCF-7</strong></p> <p>A)&nbsp; Excel Workbooks for RNA seq analysis showing the differential expression results for siRNA PRLR vs siRNA NTC for 3 samples each in MCF-7.</p> <p>Samples G01_4 to G01_6 represent siRNA NTC MCF-7 and G01_7 to G01_9 represent siRNA PRLR in MCF-7.</p> <p>Sheet 1: statistically significant up-regulated genes with log2fold change of &gt;= 1 (sorted by fold change).</p> <p>Sheet 2: statistically significant down-regulated genes with log2fold change of &lt;= -1 (sorted by fold change)</p> <p>Sheet 3: Statistically significant differentially expressed (DE) genes (p value =&lt; 0.05 and p adj =&lt; 0.05) including normalised counts for each sample (rounded values)</p> <p>Sheet 4: Differential expression analysis results (raw) including normalised counts for each sample.</p> <p>Sheet 5: Raw counts for the six samples (three replicates MCF-7 siRNA NTC and three replicates MCF-7 siRNA PRLR.</p> <p>Sheet 6: Filtered normalised counts (all genes with row Sum less than one were removed)</p> <p>The data presented log2 fold change, lfcSE = standard error of the log2 Fold Change estimate, stat = Wald statistic and fold change are included.</p> <p>B) List of genes in the top up-regulated and down-regulated hallmark pathways which were affected by PRLR knockdown in MCF-7 cells.</p> <p>Sheet 1: list of all (raw) hallmark pathways affected by knocking down PRLR generated by set enrichment analysis (GSEA) in R using the Bioconductor package fgsea.</p> <p>Sheet 2: list of significantly affected pathways with (p value =&lt; 0.05 and p adj =&lt; 0.05)</p> <p>Sheet 3: list of genes in Oestrogen response early pathway</p> <p>Sheet 4: list of genes in Oestrogen response late pathway</p> <p>Sheet 5: list of genes in MYC targets V1 pathway</p> <p>The data presented NES= normalised enrichment score, NE= enrichment score, n More Extreme= number of times a random gene set had a more extreme enrichment score value, log2 fold change, lfcSE = standard error of the log2 Fold Change estimate, stat = Wald statistic , fold change,&nbsp; p value,p adj and read count are included.</p>