Dataset ID
JGAD000371
- Type of data
- NGS (RNA-seq: Systemic sclerosis)
- Access criteria
- Controlled-access (Type I)
- Research
- hum0214
- Date published
- 2022-03-16
- Date modified
- 2022-03-16
- DDBJ Search
- JGAD000371 (opens in a new tab)
Analysis method
RNA-seq
- Materials and participants
- Systemic Lupus Erythematosus (ICD10: M329): 107 cases
92 healthy controls - Health statusHealthy
- Subject count199 (Individual)
- Disease
- Systemic Lupus Erythematosus
- Sample description
- Total RNAs extracted from 19 immune cell subsets (Naive_CD4, Mem_CD4, Fr._II_eTreg, Th1, Th2, Th17, Tfh, NK, Naive_CD8, Mem_CD8, Naive_B, USM_B, SM_B, DN_B, Plasmablast, CD16n_Mono, CD16p_Mono, mDC, pDC)
- TissueImmune cell, Peripheral blood
- Sample provider
- N/A
- Experimental method
- RNA-seq
- Target
- N/A
- Reagent kit
- SMART-Seq v4 Ultra Low Input RNA Kit
Smart-seq2 - Fragmentation
- Smart-Seq v2 for the test cohort and SMART-seq v4 Ultra Low Input RNA Kit for the validation cohort
- Platform
- Illumina HiSeq 2500
- Read type
- Paired-end
- Read length
- 76 bp (test cohort)
100 bp (validation cohort) - Reference genome
- GRCh38
- Mapping
- STAR (GRCh38)
- QC and filtering
- FASTQ files were aligned to the human genome (GRCh38; GenBank assembly GCA_000001405.18) using STAR (v2.5). HTSeq-count (v0.6.1) was used to generate gene counts. In the quality-control analysis, low-quality bases (Phred quality score < 20) were trimmed using the fastx-toolkit (v0.0.14). As the level of mitochondrial transcription is an indicator of cell stress, we applied a cutoff percentage of mitochondrial gene transcripts of < 8%. For detecting outlier samples, Spearman's correlation for each subset was calculated, and samples with an average r2 < 0.8 were omitted as outliers.
- Gene count
- 26,354 (test cohort)
26,485 (validation cohort) - Data use policy
- NBDC data sharing policy (JGAP000001)