Yong Dai

Microarray analysis of microRNA expression in hepatocellular carcinoma and non‐tumorous tissues without viral hepatitis

Background and Aim:u2002 MicroRNAs (miRNAs) are non‐coding RNA molecules of 21–24u2003nt that regulate the expression of target genes in a post‐transcriptional manner. Evidence indicates that miRNAs play essential roles in embryogenesis, cell differentiation, and pathogenesis of human diseases including cancer.

Molecular dysfunctions in acute rejection after renal transplantation revealed by integrated analysis of transcription factor, microRNA and long noncoding RNA.

Acute rejection remains a problem in renal transplantation. To further illustrate the mechanism of rejection, we integrated protein array-based proteomics and RNA microarray-based genomics to investigate the transcription factor, microRNA and long noncoding RNA of biopsies of three patients with acute rejections and a control group. 99 transcription factors were identified in acute rejection biopsies compared to normal renal tissue. We correlated transcription factor data with microRNA and long noncoding RNA data sets and reported the expression of 5 transcription factors (AP-1, AP-4, STATx, c-Myc and p53), 12 miRNAs and 32 lncRNAs in acute rejection biopsies. Pathway analysis demonstrated that over-presentation of transcription factor pathway plays a critical role in acute rejection. This is the first study to comprehensively report the acute rejection transcription factor pathway. Integrative analysis of the transcription factor, microRNA and long noncoding RNA provided an expansive view of molecular signaling pathways in acute rejection after renal transplantation.

Identification of potential microRNA-target pairs associated with osteopetrosis by deep sequencing, iTRAQ proteomics and bioinformatics.

MicroRNAs aberrantly express in many human diseases including some metabolic bone disorders. They have been found to be associated with osteoclast differentiation and function, which makes them attractive candidates for the therapy of bone. However, the potential clinical application of microRNAs in therapeutics rests heavily upon our in-depth understanding of microRNAs and their targets. To identify potential microRNA–target pairs associated with osteopetrosis, we performed a system approach including deep sequencing, iTRAQ quantitative proteomics, and bioinformatics in the peripheral blood mononuclear cells (PBMCs) taken from patients with osteopetrosis and health donors. Notably, 123 differently expressed microRNAs, 173 differently expressed proteins, and 117 computationally predicted microRNA–target pairs with reciprocally expressed level in PBMCs were found in the two sample groups. Functional annotation identified that the microRNA–target pairs were involved in cell growth, differentiation, cellular signaling network, and the network highlighted the microRNA–target pair of has-miR-320a and ADP ribosylation factor 1 (Arf1) potentially associated with CLCN7 mutations in osteopetrosis. The pair of has-miR-320a and Arf1 was further verified by real-time PCR, western blot, and the interaction between has-miR-320a and its targeted sequence on the Arf1 mRNAs was confirmed by luciferase assay. Collectively, the present study established a new system approach for the investigation of microRNAs, and the microRNA–target pairs, particular has-miR-320a and Arf1, may have important roles in osteopetrosis.

Genome-wide analysis of 5-hmC in the peripheral blood of systemic lupus erythematosus patients using an hMeDIP-chip

Systemic lupus erythematosus (SLE) is a chronic, potentially fatal systemic autoimmune disease characterized by the production of autoantibodies against a wide range of self-antigens. To investigate the role of the 5-hmC DNA modification with regard to the onset of SLE, we compared the levels 5-hmC between SLE patients and normal controls. Whole blood was obtained from patients, and genomic DNA was extracted. Using the hMeDIP-chip analysis and validation by quantitative RT-PCR (RT-qPCR), we identified the differentially hydroxymethylated regions that are associated with SLE. There were 1,701 genes with significantly different 5-hmC levels at the promoter region in the SLE patients compared with the normal controls. The CpG islands of 3,826 genes showed significantly different 5-hmC levels in the SLE patients compared with the normal controls. Out of the differentially hydroxymethylated genes, three were selected for validation, including TREX1, CDKN1A and CDKN1B. The hydroxymethylation levels of the three genes were confirmed by RT-qPCR. The results suggested that there were significant alterations of 5-hmC in SLE patients. Thus, these differentially hydroxymethylated genes may contribute to the pathogenesis of SLE. These findings show the significance of 5-hmC as a potential biomarker or promising target for epigenetic-based SLE therapies.

Microarray Technology for Analysis of MicroRNA Expression in Renal Biopsies of Lupus Nephritis Patients

Systemic lupus erythematosus (SLE) is a complex autoimmune disease, which predominantly occurs in females and is characterized by autoantibody production against a host of nuclear self-antigens and deposition of proinflammatory immune complexes in the organs including kidney glomeruli. MicroRNAs are small noncoding intracellular RNAs that modulate gene expression at the posttranslational level. Microarray technology is in widespread use for analysis of microRNA (miRNA) gene expression because of its flexibility and accurate high throughput. RNA microarray technology is based on nucleic acid hybridization between a mixture of labeled RNA targets and their corresponding complementary probes. This article offers a technological overview of microarray technology for analysis of microRNA gene expression in kidney biopsies from SLE patients.

Rapid gene identification in a Chinese osteopetrosis family by whole exome sequencing.

Osteopetrosis is a rare genetically heterogeneous disorder of bone metabolism characterized by increased skeleton density. In the past, standard methods for genetic diagnosis of osteopetrosis have primarily been performed by candidate gene screening and positional cloning. However, these methods are time and labor consumptive; and the genetic basis of approximately 30% of the cases is yet to be elucidated. Here, we employed whole exome sequencing of two affected individuals from an osteopetrosis family to identify a candidate mutation in CLCN7 (Y99C). It was identified from a total of 1757 and 1728 genetic variations found in either patient, which were then distilled using filtering strategies and confirmed using Sanger sequencing. We identified this mutation in six family members, while not in population matched controls. This mutation was previously found in osteopetrosis patients by other researchers. Our evolutionary analysis also indicated that it is under extremely high selective pressure, and is likely to be critical for the correct function of ClC-7, and thus is likely to be the responsible cause of disease. Collectively, our data further indicated that mutation (Y99C) may be a cause of osteopetrosis, and highlights the use of whole exome sequencing as a valuable approach to identifying disease mutations in a cost and time efficient manner.

Univariate and multiple linear regression analyses for 23 single nucleotide polymorphisms in 14 genes predisposing to chronic glomerular diseases and IgA nephropathy in Han Chinese

Immunoglobulin A nephropathy (IgAN) is a complex trait regulated by the interaction among multiple physiologic regulatory systems and probably involving numerous genes, which leads to inconsistent findings in genetic studies. One possibility of failure to replicate some single-locus results is that the underlying genetics of IgAN nephropathy is based on multiple genes with minor effects. To learn the association between 23 single nucleotide polymorphisms (SNPs) in 14 genes predisposing to chronic glomerular diseases and IgAN in Han males, the 23 SNPs genotypes of 21 Han males were detected and analyzed with a BaiO gene chip, and their associations were analyzed with univariate analysis and multiple linear regression analysis. Analysis showed that CTLA4 rs231726 and CR2 rs1048971 revealed a significant association with IgAN. These findings support the multi-gene nature of the etiology of IgAN and propose a potential gene-gene interactive model for future studies.

Evaluating a particular circulating microRNA species from an SLE patient using stem-loop qRT-PCR.

Systemic lupus erythematosus (SLE) is a complex autoimmune disease, and correct judgment of SLE activity is very important in guiding precise clinical treatment. Circulating microRNAs (miRNAs) could serve as potential biomarkers of disease activity or status in SLE, and here we describe a modified qRT-PCR method for detecting them. Stem loop has become one of the most powerful methods for determining miRNA expression because it is highly sensitive and accurate and requires only small amount of sample. In this chapter, we focus on a stem-loop reverse transcription-bound SYBR green qRT-PCR protocol for evaluating a particular circulating miRNA species in SLE patients.

Quantitative Proteomic Analysis of Peripheral Blood Mononuclear Cells in Ankylosing Spondylitis by iTRAQ

This study was designed to identify and quantify the different proteins expression levels in ankylosing spondylitis (AS) and to explore the pathogenesis of AS. We performed isobaric tags for relative and absolute quantitation (iTRAQ) coupled with multiple chromatographic fractionation and tandem mass spectrometry to detect the proteins profiling in peripheral blood mononuclear cells (PBMCs) from AS patients and healthy controls. Mascot software and the International Protein Index and the Gene Ontology (GO) database were used to conduct the bioinformatics analysis. The differentially expressed proteins were validated by enzyme‐linked immunosorbent assay (ELISA). A total of 1,232 proteins were identified by iTRAQ, of which 183 showed differential expression and 18 differentially expressed proteins were acute phase reactants. Upon mapping of the differentially expressed proteins to GO database, we found four differentially expressed proteins involved in the biological process of cell killing, including up‐regulated cathepsin G (CTSG), neutrophil defensin3 (DEFA3), protein tyrosine phosphatase receptor type C (PTPRC), and down‐regulated peroxiredoxin‐1(PRDX1),which were consistent with the verified results of ELISA. Our proteomic analyses suggested that the proteins involved in the biological process of cell killing might play an important role in the pathogenesis of AS.

Genome-wide analysis of DNA 5-hmC in peripheral blood of uremia by hMeDIP-chip.

Abstract Background: Treatment of uremia is now dominated by dialysis; in some cases, patients are treated with dialysis for decades, but overall outcomes are disappointing. A number of studies have confirmed the relevance of several experimental insights to the pathogenesis of uremia, but the specific biomarkers of uremia have not been fully elucidated. To date, our knowledge about the alterations in DNA 5-hydroxymethylcytosine (5-hmC) in uremia is unclear, to investigate the role of DNA 5-hmC in the onset of uremia, we performed hMeDIP-chip between the uremia patients and the normal controls from the experiment to identify differentially expressed 5-hmC in uremia-associated samples. Methods: Extract genomic DNA, using hMeDIP-chip technology of Active Motif companies for the analysis of genome-wide DNA 5-hmC, and quantitative real-time PCR confirmation to identify differentially expressed 5-hmC level in uremia-associated samples. Results: There were 1875 genes in gene Promoter, which displayed significant 5-hmC differences in uremia patients compared with normal controls. Among these genes, 960 genes displayed increased 5-hmC and 915 genes decreased 5-hmC. 4063 genes in CpG Islands displayed significant 5-hmC differences in uremia patients compared with normal controls. Among these genes, 1780 genes displayed increased 5-hmC and 2283 genes decreased 5-hmC. Three positive genes, HMGCR, THBD, and STAT3 were confirmed by quantitative real-time PCR. Conclusion: Our studies indicate the significant alterations of 5-hmC. There is a correlation of gene modification 5-hmC in uremia patients. Such novel findings show the significance of 5-hmC as a potential biomarker or promising target for epigenetic-based uremia therapies.