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dc.contributor.authorChatterjee, Durbadal
dc.contributor.authorParkash, Jyoti
dc.contributor.authorSharma, Arti
dc.date.accessioned2024-01-21T10:34:43Z
dc.date.available2024-01-21T10:34:43Z
dc.date.issued2022-12-13T00:00:00
dc.identifier.issn17445485
dc.identifier.urihttp://kr.cup.edu.in/handle/32116/3310
dc.description.abstractAutoimmune diseases are conditions in which the body attacks its own cells. In our study, we have taken eight autoimmune diseases, which are Addison�s disease, Graves� disease, Hashimoto�s thyroiditis, myasthenia gravis, psoriatic arthritis, pernicious anaemia, systematic lupus erythematosus and vasculitis. The pathways associated with these diseases are yet to be found. The underlying genes associated with each disease were predicted from the NCBI database. The mutual genes among these diseases have been identified. The digital gene expression of each gene has been anticipated. There are 668 genes associated with these eight diseases, and PTPN22 is identified as a mutual gene among seven out of the eight diseases. Most genes are involved in pathways related to the immune system, signal transduction and metabolism. All genes are expressed in the normal body condition, but in the case of disease, some genes are silenced, some show expression level changes in the diseased phenotypes and some genes have shown mutations but no expression change is reported, which leaves a question for further research. Copyright � 2022 Inderscience Enterprises Ltd.en_US
dc.language.isoen_USen_US
dc.publisherInderscience Publishersen_US
dc.subjectAddison�s diseaseen_US
dc.subjectautoimmune diseasesen_US
dc.subjectdigital expressionen_US
dc.subjectGraves� diseaseen_US
dc.subjectHashimoto�s thyroididtisen_US
dc.subjectmyasthenia gravisen_US
dc.subjectpernicious anaemiaen_US
dc.subjectpsoriatic arthritisen_US
dc.subjectsystematic lupus erthyematosusen_US
dc.subjectvasculitisen_US
dc.titleA bioinformatics approach to solving the puzzle of autoimmune diseasesen_US
dc.typeArticleen_US
dc.identifier.doi10.1504/IJBRA.2022.10052770
dc.identifier.urlhttp://www.inderscience.com/link.php?id=10052770
dc.title.journalInternational Journal of Bioinformatics Research and Applicationsen_US
dc.type.accesstypeClosed Accessen_US


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