M.symp genome
Ontology highlight
ABSTRACT:
REPOSITORIES: ENA
Similar Datasets
Project description:The skin commensal yeast Malassezia is associated with several skin disorders. To establish a reference resource, we sought to determine the complete genome sequence of Malassezia sympodialis and identify its protein-coding genes. A novel genome annotation workflow combining RNA sequencing, proteomics, and manual curation was developed to determine gene structures with high accuracy.
2016-12-20 | PXD003773 | Pride
Project description:Malassezia species are lipophilic and lipid dependent yeasts belonging to the human and animal microbiota. Typically, they are isolated from regions rich in sebaceous glands. They have been associated with dermatological diseases such as seborrheic dermatitis, tinea versicolor, atopic dermatitis, and folliculitis. Genome sequences of Malassezia globosa, Malassezia sympodialis, and Malassezia pachydermatis lack genes related to fatty acid synthesis. Here, lipid synthesis pathways of M. furfur, M. pachydermatis, M. globosa, M. sympodialis and an atypical variant of M. furfur were reconstructed using genome data and Constraints Based Reconstruction and Analysis. The metabolic reconstruction allowed us to predict variation in the fluxes of each reaction over the network to satisfy the biomass objective function. Proteomic profiling improved and validated the models through data integration. Results suggest that several mechanisms including steroid and butanoate metabolism explain the yeast’s growth under different lipid conditions. Flux differences were observed in production of riboflavin in M. furfur and the biosynthesis of glycerolipids in the atypical variant of M. furfur and Malassezia sympodialis.
2017-10-02 | PXD004523 | Pride
Project description:Background: Atopic eczema (AE) is a common chronic inflammatory skin disorder. In order to dissect the genetic background several linkage and genetic association studies have been performed. Yet very little is known about specific genes involved in this complex skin disease, and the underlying molecular mechanisms are not fully understood. Results: We used human DNA microarrays to identify a molecular picture of the programmed responses of the human genome to AE. The transcriptional program was analyzed in skin biopsy samples from lesional and patch-tested skin from AE patients sensitized to Malassezia sympodialis (M. sympodialis), and corresponding biopsies from healthy individuals. The most notable feature of the global gene-expression pattern observed in AE skin was a reciprocal expression of induced inflammatory genes and repressed lipid metabolism genes. The overall transcriptional response in M. sympodialis patch-tested AE skin was similar to the gene-expression signature identified in lesional AE skin. In the constellation of genes differentially expressed in AE skin compared to healthy control skin, we have identified several potential susceptibility genes that may play a critical role in the pathological condition of AE. Many of these genes, including genes with a role in immune responses, lipid homeostasis, and epidermal differentiation, are localized on chromosomal regions previously linked to AE. Conclusion: Through genome-wide expression profiling, we were able to discover a distinct reciprocal expression pattern of induced inflammatory genes and repressed lipid metabolism genes in skin from AE patients. We found a significant enrichment of differentially expressed genes in AE with cytobands associated to the disease, and furthermore new chromosomal regions were found that could potentially guide future region-specific linkage mapping in AE. A disease state experiment design type is where the state of some disease such as infection, pathology, syndrome, etc is studied. Disease State: Skin biopsies from normal ('normal') and lesional and patch-tested ('leisonal') skin from Atopic eczema patients sensitized to Malassezia sympodialis Organism Part: location of skin biopsy Keywords: disease state analysis Computed
2010-06-24 | E-GEOD-12511 | biostudies-arrayexpress
Project description:Background: Atopic eczema (AE) is a common chronic inflammatory skin disorder. In order to dissect the genetic background several linkage and genetic association studies have been performed. Yet very little is known about specific genes involved in this complex skin disease, and the underlying molecular mechanisms are not fully understood. Results: We used human DNA microarrays to identify a molecular picture of the programmed responses of the human genome to AE. The transcriptional program was analyzed in skin biopsy samples from lesional and patch-tested skin from AE patients sensitized to Malassezia sympodialis (M. sympodialis), and corresponding biopsies from healthy individuals. The most notable feature of the global gene-expression pattern observed in AE skin was a reciprocal expression of induced inflammatory genes and repressed lipid metabolism genes. The overall transcriptional response in M. sympodialis patch-tested AE skin was similar to the gene-expression signature identified in lesional AE skin. In the constellation of genes differentially expressed in AE skin compared to healthy control skin, we have identified several potential susceptibility genes that may play a critical role in the pathological condition of AE. Many of these genes, including genes with a role in immune responses, lipid homeostasis, and epidermal differentiation, are localized on chromosomal regions previously linked to AE. Conclusion: Through genome-wide expression profiling, we were able to discover a distinct reciprocal expression pattern of induced inflammatory genes and repressed lipid metabolism genes in skin from AE patients. We found a significant enrichment of differentially expressed genes in AE with cytobands associated to the disease, and furthermore new chromosomal regions were found that could potentially guide future region-specific linkage mapping in AE. A disease state experiment design type is where the state of some disease such as infection, pathology, syndrome, etc is studied. Disease State: Skin biopsies from normal ('normal') and lesional and patch-tested ('leisonal') skin from Atopic eczema patients sensitized to Malassezia sympodialis Organism Part: location of skin biopsy Keywords: disease state analysis
2008-12-17 | GSE12511 | GEO
Project description:Malassezia sympodialis Raw sequence reads
| PRJNA509335 | ENA
Project description:RNA-seq of Malassezia sympodialis
| PRJEB13164 | ENA
Project description:This data set is part of a study where the genome of Malassezia sympodialis (strain ATCC 42132) was sequenced using long-read technology and annotated using RNA-seq and proteogenomics. RNA was extracted at two different culture times (2 and 4 days). Seven RNA-seq libraries were prepared from independent samples. Two samples (P2 and P3) were enriched for protein-coding RNA using poly(A)-selection. The remaining five samples were processed with RiboMinus to deplete ribosomal RNA, and thus retain both mRNA and non-ribosomal noncoding RNA for sequencing. In total, we obtained 71 million RNA-seq read pairs mapping to genomic regions other than the highly expressed ribosomal loci.
2017-01-10 | E-MTAB-4589 | biostudies-arrayexpress
Project description:Identification of centromeres in Malassezia sympodialis
| PRJNA509412 | ENA