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Transcriptome and Differential Methylation Integration Analysis Identified Important Differential Methylation Annotation Genes and Functional Epigenetic Modules Related to Vitiligo.

ABSTRACT: Vitiligo is an pigmentation disorder caused by a variety of pathogenic factors; its main pathophysiological conditions include oxidative stress, immune activation, and genetic background. Additionally, DNA methylation is often associated with the pathogenesis of vitiligo; however, the underlying mechanism remains unknown. In the present study, we used the Human Methylation 850K BeadChip platform to detect DNA methylation changes in the vitiligo melanocytes. We then integrated the results with the transcriptome data of vitiligo melanocytes and lesions to analyse the correlation between differentially methylated levels and differentially expressed genes. The results showed that there was a significant negative correlation between methylation levels and differentially expressed genes. Subsequently, we enriched GO and KEGG based on methylated differentially expressed genes (MDEGs) using R package ClusterProfiler, and the results were closely related to the pathogenesis of vitiligo. In addition, we also constructed a PPI network of MDEGs and excavated three important functional epigenetic modules, involving a total of 12 (BCL2L1, CDK1, ECT2, HELLS, HSP90AA1, KIF23, MC1R, MLANA, PBK, PTGS2, SOX10, and TYRP1) genes. These genes affect melanocyte melanogenesis, cellular oxidative stress and other important biological processes. Our comprehensive analysis results support the significant contribution of the status of DNA methylation modification to vitiligo, which will help us to better understand the molecular mechanism of vitiligo and explore new therapeutic strategies.

SUBMITTER: Pu Y

PROVIDER: S-EPMC8006451 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Background & aimsIn patients with severe alcoholic hepatitis (SAH), little is known about the profile of peripheral blood mononuclear cells (PBMCs) at baseline and during corticosteroid therapy, among those who can be treated successfully with steroids (steroid-responders [R] and those who cannot (steroid-non-responders [NR]); 2 groups with different outcomes.MethodsWe performed RNA-seq analysis in PBMCs from 32 patients with definite SAH, at baseline and after 7 days of corticosteroids. The data were sorted into R and NR (n = 16, each group) using the Lille model and 346 blood transcription modules (BTMs) were identified. BTMs are predefined modules of highly co-expressed PBMC genes, which can determine specific immune cell types and cellular functions. The activity of each BTM was taken as the mean value of its member genes.ResultsAt baseline, 345 BTMs had higher activity (i.e. were upregulated) in NR relative to R. The 100 most upregulated BTMs in NR, included several modules related to lymphoid lineage (T, B, and natural killer [NK] cells), modules for cell division and mitochondrial respiratory electron transport chain (ETC, relating to energy production), but only a few modules of myeloid cells. Correlation studies of BTM activities found features of significantly greater activation/proliferation and differentiation for T and B cells in NR relative to R. After 7 days of corticosteroids, NR had no significant changes in BTM activities relative to baseline, whereas R had downregulation of BTMs related to innate and adaptive immunity.ConclusionsAt baseline and during corticosteroid therapy, increased activity in the PBMCs of gene modules related to activation/proliferation and differentiation of T and B cells, NK cells, and mitochondrial ETC, is a hallmark of SAH patients who are steroid-non-responders.Lay summaryPatients with severe alcoholic hepatitis receive steroid therapy as the main line of treatment; however, this treatment is ineffective in some patients. This only becomes apparent after 7 days of steroid therapy. We have developed an approach where it can be estimated if a patient is going to respond or not to steroid therapy using the gene expression information of blood cells. This method will allow clinicians to assess the response of patients to steroids earlier, and will help them in adopting alternate strategies if the treatment is found to be ineffective in a particular patient.

Project description:BackgroundMassively parallel sequencing of cDNA is now an efficient route for generating enormous sequence collections that represent expressed genes. This approach provides a valuable starting point for characterizing functional genetic variation in non-model organisms, especially where whole genome sequencing efforts are currently cost and time prohibitive. The large and complex genomes of pines (Pinus spp.) have hindered the development of genomic resources, despite the ecological and economical importance of the group. While most genomic studies have focused on a single species (P. taeda), genomic level resources for other pines are insufficiently developed to facilitate ecological genomic research. Lodgepole pine (P. contorta) is an ecologically important foundation species of montane forest ecosystems and exhibits substantial adaptive variation across its range in western North America. Here we describe a sequencing study of expressed genes from P. contorta, including their assembly and annotation, and their potential for molecular marker development to support population and association genetic studies.ResultsWe obtained 586,732 sequencing reads from a 454 GS XLR70 Titanium pyrosequencer (mean length: 306 base pairs). A combination of reference-based and de novo assemblies yielded 63,657 contigs, with 239,793 reads remaining as singletons. Based on sequence similarity with known proteins, these sequences represent approximately 17,000 unique genes, many of which are well covered by contig sequences. This sequence collection also included a surprisingly large number of retrotransposon sequences, suggesting that they are highly transcriptionally active in the tissues we sampled. We located and characterized thousands of simple sequence repeats and single nucleotide polymorphisms as potential molecular markers in our assembled and annotated sequences. High quality PCR primers were designed for a substantial number of the SSR loci, and a large number of these were amplified successfully in initial screening.ConclusionsThis sequence collection represents a major genomic resource for P. contorta, and the large number of genetic markers characterized should contribute to future research in this and other pines. Our results illustrate the utility of next generation sequencing as a basis for marker development and population genomics in non-model species.

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Transcriptome and Differential Methylation Integration Analysis Identified Important Differential Methylation Annotation Genes and Functional Epigenetic Modules Related to Vitiligo.

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