SAMD9 is a (epi-) genetically regulated anti-inflammatory factor activated in RA patients.

To identify PBMC-expressed genes significant for RA, and to ascertain their upstream regulatory factors, as well as downstream functional effects relevant to RA pathogenesis. We performed peripheral blood mononuclear cells (PBMCs) transcriptome-wide mRNA expression profiling in a case-control discovery sample. Differentially expressed genes (DEGs) were identified and validated in PBMCs in independent samples.

The distribution and functional relevance analysis of runs of homozygosity (ROHs) in Chinese Han female population.

Extended homozygosity is a genomic region in which the copies inherited from parents are identical, and has obvious inter-individual differences in length and frequency. Runs of homozygosity (ROHs), regarded as a type of structure variations, may have potential capacity in regulating gene transcription. To learn more about the genome-wide distribution of ROH regions in humans and understand the potential roles, this study applied ROH-based approach to quantify and characterize ROHs in 41 Chinese Han female subjects, and test potential associations between ROHs and mRNA expressions by eQTL analysis to ascertain whether ROHs are relevant to gene transcription in peripheral blood mononuclear cells (PBMCs).

Correlation analyses revealed global microRNA-mRNA expression associations in human peripheral blood mononuclear cells.

MicroRNAs (miRNAs) can regulate gene expression through binding to complementary sites in the 3'-untranslated regions of target mRNAs, which will lead to existence of correlation in expression between miRNA and mRNA. However, the miRNA-mRNA correlation patterns are complex and remain largely unclear yet. To establish the global correlation patterns in human peripheral blood mononuclear cells (PBMCs), multiple miRNA-mRNA correlation analyses and expression quantitative trait locus (eQTL) analysis were conducted in this study.

Genome-wide integrative analysis identified SNP-miRNA-mRNA interaction networks in peripheral blood mononuclear cells.

Aim: To detect SNP-miRNA-mRNA interaction networks and to elucidate miRNA-mediated regulation effects on mRNA expression.

Materials & Methods: In human peripheral blood mononuclear cells of 43 females, SNP-miRNA-mRNA interaction networks were established through an integrative analysis. Then causal inference test was followed to detect miRNA-mediated effects on mRNA expressions.

Identification of expression quantitative trait loci (eQTLs) in human peripheral blood mononuclear cells (PBMCs) and shared with liver and brain.

PBMCs are essential for immunity and involved in various diseases. To identify genetic variations contributing to PBMCs transcriptome-wide gene expression, we performed a genome-wide eQTL analysis by using genome-wide SNPs data and transcriptome-wide mRNA expression data. To assess whether there are common regulation patterns shared among different tissues/organs, public datasets were utilized to identify common eQTLs shared with PBMCs in lymphoblastoid, monocytes, liver, and brain.

Multiple correlation analyses revealed complex relationship between DNA methylation and mRNA expression in human peripheral blood mononuclear cells.

DNA methylation is an important regulator on the mRNA expression. However, a genome-wide correlation pattern between DNA methylation and mRNA expression in human peripheral blood mononuclear cells (PBMCs) is largely unknown. The comprehensive relationship between mRNA and DNA methylation was explored by using four types of correlation analyses and a genome-wide methylation-mRNA expression quantitative trait locus (eQTL) analysis in PBMCs in 46 unrelated female subjects.

Integrative multi-omics analysis revealed SNP-lncRNA-mRNA (SLM) networks in human peripheral blood mononuclear cells.

Long non-coding RNAs (lncRNAs) serve as important controller of cellular functions via regulating RNA transcription, degradation and translation. However, what are the regulation patterns of lncRNAs on downstream mRNA and how the upstream genetic variants regulate lncRNAs are largely unknown. We first performed a comprehensive expression quantitative trait locus (eQTL) analysis (MatrixeQTL package, R) using genome-wide lncRNA expression and SNP genotype data from human peripheral blood mononuclear cells (PBMCs) of 43 unrelated individuals.