Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Impact of genomic polymorphisms on the repertoire of human MHC class I-associated peptides

ABSTRACT: We developed a novel approach combining next generation sequencing, bioinformatics and mass spectrometry to assess the impact of non-MHC polymorphisms on the repertoire of MHC I-associated peptides (MIPs). We compared the genomic landscape of MIPs eluted from B lymphoblasts of two MHC-identical siblings and determined that MIPs mirror the genomic frequency of non-synonymous polymorphisms but they behave as recessive traits at the surface level. Moreover, we showed that 11.7% of the MIP coding exome is polymorphic at the population level. Our method provides fundamental insights into the relation between the genomic self and the immune self and accelerates the discovery of polymorphic MIPs (also known as minor histocompatibility antigens), which play a major role in allo-immune responses. RNA-seq of human B lymphoblasts derived from peripheral blood mononuclear cells from 2 HLA-identical female siblings.

ORGANISM(S): Homo sapiens

SUBMITTER: Diana Granados

PROVIDER: E-GEOD-48918 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Similar Datasets

Project description:The expression level for 15 887 transcripts in lymphoblastoid cell lines from 19 monozygotic twin pairs (10 male, 9 female) were analysed for the effects of genotype and sex. On an average, the effect of twin pairs explained 31% of the variance in normalized gene expression levels, consistent with previous broad sense heritability estimates. The effect of sex on gene expression levels was most noticeable on the X chromosome, which contained 15 of the 20 significantly differentially expressed genes. A high concordance was observed between the sex difference test statistics and surveys of genes escaping X chromosome inactivation. Notably, several autosomal genes showed significant differences in gene expression between the sexes despite much of the cellular environment differences being effectively removed in the cell lines. A publicly available gene expression data set from the CEPH families was used to validate the results. The heritability of gene expression levels as estimated from the two data sets showed a highly significant positive correlation, particularly when both estimates were close to one and thus had the smallest standard error. There was a large concordance between the genes significantly differentially expressed between the sexes in the two data sets. Analysis of the variability of probe binding intensities within a probe set indicated that results are robust to the possible presence of polymorphisms in the target sequences. Keywords: Monozygotic twin pair Expression Profiles Genome-wide gene expression in lymphoblastoid cell lines was determined using microarrays derived from 15 monozygotic (MZ) twin pairs (10 male, 9 female). 10 twin pair are discordant, 4 are concordant for a disease phenotype and their are 5 controls which have no disease phenotype. This data set was analyzed to interrupt replicated effects of sex and genotype, not disease characteristics. Subsets of these samples have been analyzed separately for disease characteristics, (GSE7036 M-bM-^@M-^S 3 MZ twins discordant for bipolar disorder) and (GSE7486 - 5 discordant and 4 concordant MZ twin pairs with idiopathic absence epilepsies and 5 unaffected MZ twin pairs).

Dataset Information

Impact of genomic polymorphisms on the repertoire of human MHC class I-associated peptides

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure