Hit reproducibility between experiments.

1Microarray experiment where two technical replicates were combined for each biological replicate in Rosetta Resolver to identify hits (Fold change >2, p≤0.05).
2Microarray experiment where two technical and two biological replicates (A & B) were combined for either S100 screen with 100 copies per shRNA in PCR or S500 screen with 500 copies per shRNA in PCR using Rosetta Resolver to identify hits (Fold change >2, p≤0.05).
3Next generation experiment where one biological replicate (no technical replicates) was analyzed using DESeq to identify hits (Fold change >2, p≤0.05).
4Next generation experiment where two biological replicates (A & B) were combined for either S100 screen with 100 copies per shRNA or S500 screen with 500 copies per shRNA using DESeq to identify hits analyzed using DESeq to identify hits (Fold change >2, p≤0.05).
5Next generation experiment where two biological replicates (A & B) were combined for either S100 screen with 100 copies per shRNA or S500 screen with 500 copies per shRNA using DESeq to identify hits analyzed using DESeq to identify hits (Fold change >2, p≤0.05). For comparison, hits were filtered to only include hits that were detectable on the microarray.

1 基因芯片（microarray）实验：针对每个生物学重复合并两份技术重复，通过Rosetta Resolver软件筛选差异靶点（折叠变化（Fold change）>2，p值≤0.05）。
2 基因芯片（microarray）实验：针对S100筛选（每份短发卡RNA（shRNA）对应100个聚合酶链式反应（PCR）扩增拷贝）或S500筛选（每份shRNA对应500个PCR扩增拷贝），分别合并两份技术重复与两份生物学重复（A与B），通过Rosetta Resolver软件筛选差异靶点（折叠变化>2，p值≤0.05）。
3 下一代测序实验：仅设置一份生物学重复（无技术重复），通过DESeq软件筛选差异靶点（折叠变化>2，p值≤0.05）。
4 下一代测序实验：针对S100筛选（每份shRNA对应100个拷贝）或S500筛选（每份shRNA对应500个拷贝），合并两份生物学重复（A与B），通过DESeq软件筛选差异靶点（折叠变化>2，p值≤0.05）。
5 下一代测序实验：针对S100筛选（每份shRNA对应100个拷贝）或S500筛选（每份shRNA对应500个拷贝），合并两份生物学重复（A与B），通过DESeq软件筛选差异靶点（折叠变化>2，p值≤0.05）。为便于对照比较，仅将可在基因芯片中检测到的差异靶点纳入筛选范围。