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.