To delineate mechanisms for psoriasis pathogenesis driven by the interleukin-17A, proteomic dysregulations were studied in a Human Primary Keratinocyte model system. Label-free quantification was performed and fold-changes were obtained for abundances of proteins in IL-17A treated keratinocytes versus those from IL-17A treated keratinocytes.
Briefly, Human Primary Keratinocytes were isolated and treated with the cytokine IL-17A (50ng/ml) in incomplete media devoid of any growth factors. Tryptic digested and desalted peptide samples were injected in Thermoscientific Q-Exactive Plus instruments through EasyNLC HPLC autosampler. The instruments were set to MS1 resolution of 70000 and MS2 resolution of 17500. The acquisition experiments were optimized to run on 120 min gradients.
The MS spectra were analyzed using the Thermoscientific mass informatics platform Proteome discoverer version 2.2. The common workflows for discovery proteomics were used with Mascot and SequestHT as search engines.
This dataset helped to simulate the IL-17A-driven inflammation in keratinocytes and uncovered many putative druggable targets in the context of psoriasis.
[doi:10.25345/C5G15TF96]
[dataset license: CC0 1.0 Universal (CC0 1.0)]
Keywords: Inflammation ; Skin ; IL-17A ; Interleukin-17A ; Psoriasis
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Rahul Purwar, IIT Bombay, India |
Submitting User: | soumitram |
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