A. RNA-sequencing data from one dataset (Kyogoku et. al., GSE51997) (Kyogoku et al., 2013) of active SLE patients versus healthy controls was analyzed using NCBI GEO2R for Srsf1 mRNA expression.B . Graph shows significant decrease of Srsf1 expression levels in CD4+ T cells in SLE patients (n=6) versus healthy controls (n=4) (p=0.004). C. Venn diagram shows numbers of overlapping genes.

Table 1. Table shows the sources of SLE datasets curated from NCBI GEO2R and literature searches.

Table 2. Table shows top five pathways represented by the overlapping DEGs between SLE patients and Srsf1-ko mice.

Table 3. Table shows 11 genes from one dataset (Kyogoku et al., 2013) and associated biological processes and protein function of each gene.

Supplementary Table 1. List of human homologues of DEGs identified in Srsf1-KO mice

Supplementary Table 2. List of excluded mouse specific DEGs (not found in humans equivalent data)

Supplementary table 3 . Overlapping mouse and human DEGs

Supplementary Table 4. Selection and analysis of cellular pathways of the genes involved in the top 3 significant modules using MCODE

Supplementary Table 5. List of predicted targets regulated by RNA-binding of SRSF1 protein

Supplementary Table 6. List of predicted targets regulated by RNA-binding of SRSF1 protein.

Supplementary Table 7. List of the overlapping DEGs between Srsf1-KO mice and cohort of SLE patients with low SRSF1.