Project description:To characterize the primary and recall responses to EV71 vaccines, PBMC from 19 recipients before and after vaccination with EV71 vaccine are collected and their gene expression signatures after stimulation with EV71 antigen were compared. Four-condition experiment,pre-vaccination PBMCs (stimulation vs. no stimulation with EV71 antigen) vs. post-vaccination PBMCs (stimulation vs. no stimulation with EV71 antigen)
Project description:Personalized peptide vaccination (PPV) is one of the attractive immunotherapy with high immune-boosting effects. However, as with most therapeutic agents, PPV does not elicit beneficial immune and/or clinical responses in all of the treated cancer patients. To identify prognostic biomarker for the selection of patients most likely to benefit from PPV, we conducted whole genome gene expression analysis of prevaccination peripheral blood mononuclear cells (PBMCs) of 112 castration-resistant prostate cancer (CRPC) patients.
Project description:Transcriptional profiling of Homo sapiens inflammatory skin diseases (whole skin biospies): Psoriasis (Pso), vs Atopic Dermatitis (AD) vs Lichen planus (Li), vs Contact Eczema (KE), vs Healthy control (KO) In recent years, different genes and proteins have been highlighted as potential biomarkers for psoriasis, one of the most common inflammatory skin diseases worldwide. However, most of these markers are not psoriasis-specific but also found in other inflammatory disorders. We performed an unsupervised cluster analysis of gene expression profiles in 150 psoriasis patients and other inflammatory skin diseases (atopic dermatitis, lichen planus, contact eczema, and healthy controls). We identified a cluster of IL-17/TNFα-associated genes specifically expressed in psoriasis, among which IL-36γ was the most outstanding marker. In subsequent immunohistological analyses IL-36γ was confirmed to be expressed in psoriasis lesions only. IL-36γ peripheral blood serum levels were found to be closely associated with disease activity, and they decreased after anti-TNFα-treatment. Furthermore, IL-36γ immunohistochemistry was found to be a helpful marker in the histological differential diagnosis between psoriasis and eczema in diagnostically challenging cases. These features highlight IL-36γ as a valuable biomarker in psoriasis patients, both for diagnostic purposes and measurement of disease activity during the clinical course. Furthermore, IL-36γ might also provide a future drug target, due to its potential amplifier role in TNFα- and IL-17 pathways in psoriatic skin inflammation. In recent years, different genes and proteins have been highlighted as potential biomarkers for psoriasis, one of the most common inflammatory skin diseases worldwide. However, most of these markers are not psoriasis-specific but also found in other inflammatory disorders. We performed an unsupervised cluster analysis of gene expression profiles in 150 psoriasis patients and other inflammatory skin diseases (atopic dermatitis, lichen planus, contact eczema, and healthy controls). We identified a cluster of IL-17/TNFα-associated genes specifically expressed in psoriasis, among which IL-36γ was the most outstanding marker. In subsequent immunohistological analyses IL-36γ was confirmed to be expressed in psoriasis lesions only. IL-36γ peripheral blood serum levels were found to be closely associated with disease activity, and they decreased after anti-TNFα-treatment. Furthermore, IL-36γ immunohistochemistry was found to be a helpful marker in the histological differential diagnosis between psoriasis and eczema in diagnostically challenging cases. These features highlight IL-36γ as a valuable biomarker in psoriasis patients, both for diagnostic purposes and measurement of disease activity during the clinical course. Furthermore, IL-36γ might also provide a future drug target, due to its potential amplifier role in TNFα- and IL-17 pathways in psoriatic skin inflammation.
Project description:To characterize the primary and recall responses to EV71 vaccines, PBMCs from 19 recipients before and after vaccination with EV71 vaccine were collected. 14 samples pre-vaccination and 16 samples post-vaccination were detected by microarray and their gene expression signatures after stimulation with EV71 antigen were compared.
Project description:Gene expression profiling of immortalized human mesenchymal stem cells with hTERT/E6/E7 transfected MSCs. hTERT may change gene expression in MSCs. Goal was to determine the gene expressions of immortalized MSCs.
Project description:Human papilloma (HPV) virus-like particle (VLP) vaccines were recently licensed. Though neutralizing antibody titers are thought to be the main effectors of protection against infection, early predictors of long-term efficacy are not yet defined and a comprehensive understanding of innate and adaptive immune responses to vaccination is still lacking. Here, microarrays were used to compare the gene expression signature in HPV-16 L1 VLP-stimulated PBMC from 17 vaccine and 4 placebo recipients before vaccination, and 1 month after receiving the second immunization. Vaccination with HPV-16 L1 VLP was associated with modulation of genes involved in the inflammatory/defense response, cytokine, interferon and cell cycle pathways in VLP-stimulated PBMC. In addition, there was up-regulation of probesets associated with cytotoxic (GZMB, TNFSF10) and regulatory (INDO, CTLA4) activities. The strongest correlations with neutralizing antibody titers were found for cyclin d2 (CCND2) and galectin (LGALS2). Twenty-two differentially expressed probesets were selected for confirmation by RT-PCR in an independent sample set. Agreement with the microarray data was seen for over two-thirds of these probesets. Up-regulation of immune/defense response genes by VLP, in particular interferon-induced genes was observed in PBMC collected prior to vaccination, with many of these genes being further induced following vaccination. In conclusion, we used gene expression profiling to identify important innate and adaptive response related- genes induced by vaccination with HPV VLP. Further studies are needed to identify gene expression signatures of immunogenicity and long-term protection with potential utility in prediction of long-term HPV vaccination outcomes in clinical trials. Experiment Overall Design: Microarrays (Affymetrix Human Focus) were used to compare the gene expression signature in PBMCs stimulated for 3 days with media alone, Sf9/baculovirus insect cell lysate, and HPV-16 L1 VLP expressed from baculovirus-infected Sf9 insect cells from 17 vaccine and 4 placebo recipients before vaccination, and 1 month after receiving the second immunization (2 months after the initial immunization. Post-vaccination baculovirus sample for Pt078 and pre-vaccination baculovirus sample for Pt082 failed QC.
Project description:Systems biology is an approach to comprehensively study complex interactions within a biological system. Most published systems vaccinology studies have utilized whole blood or peripheral blood mononuclear cells (PBMC) to monitor the immune response after vaccination. Because human blood is comprised of multiple hematopoietic cell types, the potential for masking responses of under-represented cell populations is increased when analyzing whole blood or PBMC. To investigate the contribution of individual cell types to the immune response after vaccination, we established a rapid and efficient method to purify human T and B cells, natural killer (NK) cells, myeloid dendritic cells (mDC), monocytes, and neutrophils from fresh venous blood. Purified cells were fractionated and processed in a single day. RNA-Seq and quantitative shotgun proteomics were performed to determine expression profiles for each cell type prior to and after inactivated seasonal influenza vaccination. Our results show that transcriptomic and proteomic profiles generated from purified immune cells differ significantly from PBMC. Differential expression analysis for each immune cell type also shows unique transcriptomic and proteomic expression profiles as well as changing biological networks at early time points after vaccination. This cell type-specific information provides a more comprehensive approach to monitor vaccine responses.