Dataset ID
JGAD000755
- Type of data
- NGS (RNA-seq)
- Access criteria
- Controlled-access (Type I)
- Total data volume
- 36.3 MB
- File formats
- TXT
- Research
- hum0214
- Date published
- 2024-02-14
- Date modified
- 2024-02-14
- DDBJ Search
- JGAD000755 (opens in a new tab)
- JGA Study
- JGAS000626 (opens in a new tab)
Analysis method
RNA-seq
- Materials and participants
- Rheumatoid Arthritis (ICD10: M0690): 19 cases
Systemic Lupus Erythematosus (ICD10: M329): 62 cases
Idiopathic Inflammatory Myopathy (ICD10: M339, M332): 40 cases
64 healthy controls - Health statusHealthy
- Disease
- Rheumatoid Arthritis
- Systemic Lupus Erythematosus
- Idiopathic Inflammatory Myopathy
- Sample description
- Total RNAs extracted from 9 immune cell subsets (Naive_CD4, Th1, Th2, Th17, Tfh, Fr._I_nTreg, Fr._II_eTreg, Fr._III_T, ThA)
- TissueCD4+ T cell, Peripheral blood, T cell, Treg cell
- Sample provider
- N/A
- Experimental method
- RNA-seq
- Target
- N/A
- Reagent kit
- SMART-Seq v4 Ultra Low Input RNA Kit
- Fragmentation
- SMART-seq v4 Ultra Low Input RNA Kit
- Platform
- Illumina HiSeq 2500
- Read type
- Paired-end
- Read length
- 100 bp
- Reference genome
- GRCh38
- Mapping
- STAR (GRCh38)
- QC and filtering
- From sequenced reads, adaptor sequences were trimmed using cutadapt (v1.16). In addition, 3′- ends with low-quality bases (Phred quality score < 20) were trimmed using the fastx-toolkit (v0.0.14). Reads containing more than 20% low-quality bases were removed. Subsequently, reads were aligned against the GRCh38 reference sequence using STAR (v2.5.3) in two-pass mode with Gencode version 27 annotations. We excluded samples with uniquely mapped read rates < 90% (with the exception of < 70% for plasmablasts and <85% for the other B cell subsets) or unique read counts < 6 × 10^6. Expression was quantified using HTSeq (v 0.11.2.). For QC of the expression data, in each cell population, we filtered low count genes (< 10 in > 90% of samples), normalized between samples with a trimmed mean of M values (TMM) implemented in edgeR software, converted to log-transformed count per million (CPM), removed batch effects using ComBat software and computed inter-sample Spearman's correlations of expression levels between each sample and the remaining samples from the same cell subset. We excluded samples with mean correlation coefficients less than 0.9.
- Gene count
- 26,353
- Processed data type
- Count data
- Data use policy
- NBDC data sharing policy (JGAP000001)