Science Advances

Supplementary Materials

The PDF file includes:

  • Fig. S1. Detailed schematic of integrated workflow implemented on microfluidic chip.
  • Fig. S2. Flow cytometry gating strategy.
  • Fig. S3. Chip sorting optimization and comparison with benchtop magnetic isolation.
  • Fig. S4. Representative Bioanalyzer traces for conventional benchtop and microfluidic device whole transcriptome amplicons (WTA) for four different lysate samples from the four indicated FACS-sorted cell subsets.
  • Fig. S5. Differential gene expression analysis between microfluidic and benchtop RNA-seq libraries.
  • Fig. S6. Chip enrichment validation by gene expression profiles.
  • Fig. S7. Comparison between conventional and device-processed RNA-seq libraries (full workflow).
  • Fig. S8. RNA-seq correlation plots for in vitro–treated PBMCs.
  • Fig. S9. Gene set enrichment analysis (Reactome sets) comparing treated PBMCs versus control.
  • Fig. S10. Volcano plots showing differentially expressed genes between patients with SLE and matched healthy controls for four different subsets.
  • Fig. S11. Heat map showing relative IFN-signature scores across different cell types of 10 patients.
  • Supplementary Note
  • Supplementary Methods

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Other Supplementary Material for this manuscript includes the following:

  • Table S1 (Microsoft excel format). Ex vivo treatment differential expression (DE) results.
  • Table S2 (Microsoft excel format). Patient information for clinical study.
  • Table S3 (Microsoft excel format). SLE DE and gene set enrichment analysis results.
  • Data file S1 (.dwg format). Device design.
  • Data file S2 (.zip format). Gene expression matrices.

Files in this Data Supplement: