Comparison between microarray and rna seq data of rheumatoid arthritis patients from both blood and synovial fluid

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dc.contributor.authorLaiba Tahir
dc.date.accessioned2025-11-21T17:10:59Z
dc.date.available2025-11-21T17:10:59Z
dc.date.issued2023
dc.description.abstractThe joints are largely affected by the chronic inflammatory illness known as rheumatoid arthritis (RA). Asymmetrically attacking the exact same joints on both sides of the body, it is characterized by swelling, stiffness, discomfort, and inflammation in the joints. However, rheumatoid arthritis can also impact the body's various organs and functions. In our study we aimed to identify hub genes that have a role to play in the occurrence of rheumatoid arthritis from microarray and RNA seq data from both blood and synovial fluid. To those means we used a microarray blood sample dataset GSE15573 (18 RA patients and 15 controls), a microarray synovial fluid sample dataset GSE10500 (5 RA patients and 3 controls) and a RNA seq dataset GSE154474 (3 blood neutrophil RA patients and 3 synovial fluid neutrophil RA patients). By taking a bioinformatics approach we were able to identify ten hub genes (HBB, RGMB, AXIN2, LEF1, TCF7, DMTN, HBA1, HBA2, KRT5, NOG). We were able to conclude that the identified hub genes all have potential to act as biomarkers for rheumatoid arthritis.
dc.identifier.urihttps://escholar.umt.edu.pk/handle/123456789/11538
dc.language.isoen
dc.publisherUMT, Lhr
dc.titleComparison between microarray and rna seq data of rheumatoid arthritis patients from both blood and synovial fluid
dc.typeThesis
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