Daily Archives: 2026年8月4日

Explanation of the miRNA percentage difference in WaGa wt cells (Data_Ute_smallRNA_via_exceRpt_workspace_FINAL)

  • exceRpt_DiagnosticPlots_WaGa
  • exceRpt_DiagnosticPlots_MKL-1
  • distribution_heatmap_WaGa
  • distribution_heatmap_MKL-1

Regarding your question why the miRNA percentage of the first sample, nf774, in the group “WaGa wt cells” is totally different from the other two samples, nf961 and nf962, which show 85.7% and 83.2% miRNA in exceRpt_DiagnosticPlots_WaGa.pdf, I think the drastic difference is due to a batch effect.

More specifically, nf774 was generated in an older sequencing/library preparation batch, whereas nf961 and nf962 were generated in a later optimized batch. Between these batches, the small RNA enrichment/size-selection strategy was different. The older nf774 library likely had less efficient small RNA enrichment and/or stronger adapter/junk read contamination, while nf961 and nf962 benefited from the optimized protocol and therefore show high miRNA percentages. Thus, this difference is most likely technical rather than biological.

Please find the updated sample summary and batch information below.


1. Complete Sample Table

Sample ID Cell Line / Type (PDF Label) Project Batch (Sequencing Run ID)
Wild-Type Cells
nf961 WaGa wt cells 250411_VH00358_135_AAGKGLHM5
nf962 WaGa wt cells 250411_VH00358_135_AAGKGLHM5
nf774 WaGa wt cells 220617_NB501882_0371_AH7572BGXM_smallRNA_Ute_newDemulti
nf780 MKL-1 wt cells 220617_NB501882_0371_AH7572BGXM_smallRNA_Ute_newDemulti
nf796 MKL-1 wt cells 221216_NB501882_0404_AHLVNMBGXM_smallRNA_Ute_newDemulti
nf797 MKL-1 wt cells 221216_NB501882_0404_AHLVNMBGXM_smallRNA_Ute_newDemulti
WaGa EV Samples
nf657 (Excluded) WaGa wt EV 210817_NB501882_0294_AHW5Y2BGXJ_smallRNA_Ute_newDemulti
nf930, nf935 WaGa wt EV 231016_NB501882_0435_AHG7HMBGXV
nf931, nf936 WaGa sT DMSO EV 231016_NB501882_0435_AHG7HMBGXV
nf971 WaGa sT DMSO EV 250411_VH00358_135_AAGKGLHM5
nf932, nf937 WaGa sT Dox EV 231016_NB501882_0435_AHG7HMBGXV
nf972 WaGa sT Dox EV 250411_VH00358_135_AAGKGLHM5
nf933, nf938 WaGa scr DMSO EV 231016_NB501882_0435_AHG7HMBGXV
nf973 WaGa scr DMSO EV 250411_VH00358_135_AAGKGLHM5
nf934, nf939 WaGa scr Dox EV 231016_NB501882_0435_AHG7HMBGXV
nf974 WaGa scr Dox EV 250411_VH00358_135_AAGKGLHM5
MKL-1 EV Samples
nf655 (Excluded) MKL-1 wt EV 210817_NB501882_0294_AHW5Y2BGXJ_smallRNA_Ute_newDemulti
2404, 2608 MKL-1 wt EV 20260506_AV243904_0073_A
2608, 2701, 2802 MKL-1 sT DMSO EV 20260506_AV243904_0073_A
2608, 2701, 2802 MKL-1 sT Dox EV 20260506_AV243904_0073_A
2608, 2701, 2802 MKL-1 scr DMSO EV 20260506_AV243904_0073_A
2608, 2701, 2802 MKL-1 scr Dox EV 20260506_AV243904_0073_A

2. Batch Origins of the 6 wt Cell Samples

The 6 wild-type cell samples originate from 3 distinct sequencing runs:

  1. 220617_NB501882_0371_AH7572BGXM_smallRNA_Ute_newDemulti — June 2022

    • nf774, WaGa wt cells
    • nf780, MKL-1 wt cells
  2. 221216_NB501882_0404_AHLVNMBGXM_smallRNA_Ute_newDemulti — December 2022

    • nf796, MKL-1 wt cells
    • nf797, MKL-1 wt cells
  3. 250411_VH00358_135_AAGKGLHM5 — April 2025

    • nf961, WaGa wt cells
    • nf962, WaGa wt cells

In summary, nf774 comes from a different and earlier batch than nf961/nf962, which supports the interpretation that the large difference in miRNA percentage is mainly caused by batch effects and differences in library preparation/small RNA enrichment strategy.