Microbiota study Juvenile Idiopathic Arthritis AG Chang
Authors/Creators
-
Budzinski, Lisa
(Work package leader)1, 2
- Sempert, Toni (Work package leader)1
- Maier, René (Data collector)1
- Lietz, Leonie (Data collector)1
- Roth, Maria (Data collector)3
- von Stuckrad, Anne Sae Lim (Data collector)3
- Biesen, Robert (Data collector)3
- Goetzke, Carl Christoph (Data collector)1, 3
- Mashreghi, Mir-Farzin (Research group)1
- Kallinich, Tilmann (Supervisor)3
- et al. Show all 11 authors
-
Budzinski, Lisa
(Work package leader)1, 2
- Sempert, Toni (Work package leader)1
- Maier, René (Data collector)1
- Lietz, Leonie (Data collector)1
- Roth, Maria (Data collector)3
- von Stuckrad, Anne Sae Lim (Data collector)3
- Biesen, Robert (Data collector)3
- Goetzke, Carl Christoph (Data collector)1, 3
- Mashreghi, Mir-Farzin (Research group)1
- Kallinich, Tilmann (Supervisor)3
- Chang, Hyun-Dong (Supervisor)1, 2
Description
We have investigated a juvenile idiopathic arthritis (JIA) cohort and paediatric healthy controls (pHC) by our multi-parameter microbiota flow cytometry approach to characterise the microbiota on single-cell level for attributes of the disease. The microbiota is isolated from stool samples and stained according to the published protocol for (a) host immunoglobulins IgA1, IgA2, IgM, IgG and (b) agglutinin binding to mannose, galactose or N-Acetyl-glucosamine surface sugar moieties. For all samples we also determined the microbiome composition by 16S rRNA (V3-V4) sequencing on the illumina MiSeq platform. We provide the raw .fcs and FASTQ files of 54 JIA patients and 38 paediatric controls. For comparison towards disease progression, we additionally analysed 16 rheumatoid arthritis (RA) patients and 18 adult healthy donors (aHC).
All .fcs files were generated on BD Influx®.
The metadata is collected in the provided meta_JIA.csv.
The staining parameters are summarized in provided panel.csv.
Files
Fastq.zip
Files
(18.3 GB)
| Name | Size | |
|---|---|---|
|
md5:9d34fb345a7a775f3b728bb506fe0670
|
15.4 kB | Download |
|
md5:814371f47767683fde5cd9ae47d6ce8c
|
12.9 GB | Preview Download |
|
md5:da8f1653e9ed9edd0ca6bf9ddf879cc5
|
2.8 GB | Download |
|
md5:51d04d60dd2cca02fc4d0a5217610553
|
2.6 GB | Download |
|
md5:36a60a5cd60c23e45a85b751b2e9ca6d
|
6.4 kB | Preview Download |
|
md5:b01657599eb3a1890d1e01f0aae93209
|
743 Bytes | Preview Download |
Additional details
Related works
- Is derived from
- Book chapter: 10.1016/bs.mcb.2024.02.023 (DOI)
- Is variant form of
- Publication: 10.1002/eji.202250337 (DOI)
Funding
- Dr. Rolf M. Schwiete Stiftung
- Deutsche Forschungsgemeinschaft
- TRR241 B03 375876048
- European Union
- 1.8/11 EFRE
- European Union
- BacFlow - Analyse bakterieller Gemeinschaften durch Mikrobiota-Zytometrie EFRE-Project grant 1.6./01
- Leibniz Association