Data in Brief (Aug 2017)
Immunoglobulin characteristics and RNAseq data of FcRL4+ B cells sorted from synovial fluid and tissue of patients with rheumatoid arthritis
- Khaled Amara,
- Elizabeth Clay,
- Lorraine Yeo,
- Daniel Ramsköld,
- Julia Spengler,
- Natalie Sippl,
- James Cameron,
- Lena Israelsson,
- Philip J. Titcombe,
- Caroline Grönwall,
- Ilfita Sahbudin,
- Andrew Filer,
- Karim Raza,
- Vivianne Malmström,
- Dagmar Scheel-Toellner
Affiliations
- Khaled Amara
- Rheumatology Unit, Department of Medicine, Karolinska University Hospital, Karolinska Institutet, SE-17176 Solna, Stockholm, Sweden
- Elizabeth Clay
- Rheumatology Research Group, RACE AR UK Centre of Excellence in RA Pathogenesis, Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham B15 2TT, UK
- Lorraine Yeo
- Rheumatology Research Group, RACE AR UK Centre of Excellence in RA Pathogenesis, Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham B15 2TT, UK
- Daniel Ramsköld
- Rheumatology Unit, Department of Medicine, Karolinska University Hospital, Karolinska Institutet, SE-17176 Solna, Stockholm, Sweden
- Julia Spengler
- Rheumatology Research Group, RACE AR UK Centre of Excellence in RA Pathogenesis, Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham B15 2TT, UK
- Natalie Sippl
- Rheumatology Unit, Department of Medicine, Karolinska University Hospital, Karolinska Institutet, SE-17176 Solna, Stockholm, Sweden
- James Cameron
- Rheumatology Research Group, RACE AR UK Centre of Excellence in RA Pathogenesis, Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham B15 2TT, UK
- Lena Israelsson
- Rheumatology Unit, Department of Medicine, Karolinska University Hospital, Karolinska Institutet, SE-17176 Solna, Stockholm, Sweden
- Philip J. Titcombe
- Rheumatology Unit, Department of Medicine, Karolinska University Hospital, Karolinska Institutet, SE-17176 Solna, Stockholm, Sweden
- Caroline Grönwall
- Rheumatology Unit, Department of Medicine, Karolinska University Hospital, Karolinska Institutet, SE-17176 Solna, Stockholm, Sweden
- Ilfita Sahbudin
- Rheumatology Research Group, RACE AR UK Centre of Excellence in RA Pathogenesis, Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham B15 2TT, UK
- Andrew Filer
- Rheumatology Research Group, RACE AR UK Centre of Excellence in RA Pathogenesis, Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham B15 2TT, UK
- Karim Raza
- Rheumatology Research Group, RACE AR UK Centre of Excellence in RA Pathogenesis, Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham B15 2TT, UK; Department of Rheumatology, Sandwell and West Birmingham Hospitals NHS Trust, Birmingham, UK
- Vivianne Malmström
- Rheumatology Unit, Department of Medicine, Karolinska University Hospital, Karolinska Institutet, SE-17176 Solna, Stockholm, Sweden
- Dagmar Scheel-Toellner
- Rheumatology Research Group, RACE AR UK Centre of Excellence in RA Pathogenesis, Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham B15 2TT, UK; Corresponding author: Rheumatology Research Group, Institute of Inflammation and Ageing. College of Medical & Dental Sciences, University of Birmingham Research Laboratories, Queen Elizabeth Hospital, Birmingham, B15 2WD. Tel.: +44 121 371 3220
- Journal volume & issue
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Vol. 13
pp. 356 – 370
Abstract
This manuscript is a companion paper to Amara et al. [1]. Data shown here include detailed clinical characteristics from anonymized patients, the Ig subclass data generated from B cells sorted from four individual patients, tables detailing variable gene region sequences from sorted cells linked to the patient information and the sequence yields from individual patients. Furthermore a URL link to the RNAseq datasets submitted to GEO is included. Keywords: B cells, FcRL4, Rheumatoid arthritis, IRTA1
