Ontology highlight
ABSTRACT:
PROVIDER: PRJNA196230 | ENA |
REPOSITORIES: ENA
Similar Datasets
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.
2015-01-08 | PXD001657 | Pride
Project description:Changes in PBMC gene expression profiles after influenza vaccination in healthy human subjects
| PRJNA196146 | ENA
Project description:Objective: This study aimed to evaluate the effect of dendritic cell (DC) vaccination against HIV-1 on host gene expression profiles. Design: Longitudinal PBMC samples were collected from participants of the DC-TRN trial for immunotherapy against HIV. Microarray-assisted gene expression profiling was performed to evaluate the effects of vaccination and subsequent interruption of antiretroviral therapy on host genome expression. Data from the DC-TRN trial were compared with results from other vaccination trials. Methods: We used Affymetrix GeneChips for microarray gene expression analysis. Data were analyzed by principal component analysis and differential gene expression was assessed using linear modeling. Gene ontology enrichment and gene set analysis were used to characterize differentially expressed genes. Transcriptome analysis included comparison with PBMCs obtained from DC-vaccinated melanoma patients and of healthy individuals who received seasonal influenza vaccination. Results: DC-TRN immunotherapy in HIV-infected individuals resulted in a major shift in the transcriptome. Longitudinal analysis demonstrated that changes in the transcriptome sustained also during interruption of antiretroviral therapy. After DC-vaccination, the transcriptome was enriched for cellular immunity associated genes that were also induced in healthy adults who received live attenuated influenza virus vaccination. These beneficial responses were accompanied by detrimental signals of general immune activation. Conclusions: The DC-TRN induced changes in the transcriptome were profound, lasting, and consisted of both protective signals and signatures of inflammation and immune exhaustion, with a net result of decreased viral load, without clinical benefit. Thus transcriptome analysis provides useful information, dissecting both positive and negative effects, for the evaluation of safety and efficacy of immunotherapeutic strategies.
2015-04-30 | E-MTAB-3296 | biostudies-arrayexpress
Project description:51 healthy adults were vaccinated with seasonal influenza vaccine and PBMC were collected before and up to 30 days after vaccination and myloid and lymphoid (NK) cell function in response to restimulation with IL-15 alone virus was assessed.
2019-08-31 | GSE133478 | GEO
Project description:Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying the innate responses to the trivalent inactivated influenza (TIV) and live attenuated influenza (LAIV) vaccination in humans, and to identify early gene signatures that predict the magnitude of the antibody responses to influenza vaccination. During the 2008 influenza season, healthy adults were vaccinated with TIV (6 vaccinees) or LAIV (6 vaccinees), and blood samples isolated at day 0 and at day 7 post-vaccination. Cell subsets (B cells, Monocytes, mDCs and pDCs) were FACS-sorted from frozen PBMCs. Microarrays were performed using amplified total RNA.
2011-07-10 | E-GEOD-29618 | biostudies-arrayexpress
Project description:Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying the innate responses to the trivalent inactivated influenza (TIV) and live attenuated influenza (LAIV) vaccination in humans, and to identify early gene signatures that predict the magnitude of the antibody responses to influenza vaccination. During the 2008 influenza season, healthy adults were vaccinated with LAIV (28 vaccinees), and blood samples isolated at days 0, 3, 7 post-vaccination. Microarrays were performed using total RNA extracted from the peripheral blood mononuclear cells of vaccinees.
2011-07-10 | E-GEOD-29615 | biostudies-arrayexpress
Project description:Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying the innate responses to the trivalent inactivated influenza (TIV) and live attenuated influenza (LAIV) vaccination in humans, and to identify early gene signatures that predict the magnitude of the antibody responses to influenza vaccination. During the 2008 influenza season, healthy adults were vaccinated with TIV (28 vaccinees), and blood samples isolated at days 0, 3, 7 post-vaccination. Microarrays were performed using total RNA extracted from the peripheral blood mononuclear cells of vaccinees.
2011-07-10 | E-GEOD-29617 | biostudies-arrayexpress
Project description:Systems vaccinology has emerged as an interdisciplinary field that combines systems wide measurements and network and predictive modeling applied to vaccinology. Here we used the systems vaccinology approach to study the molecular mechanisms underlying the innate responses to the trivalent inactivated influenza (TIV) and live attenuated influenza (LAIV) vaccination in humans, and to identify early gene signatures that predict the magnitude of the antibody responses to influenza vaccination. During the 2007 Influenza season, healthy adults were vaccinated with TIV (9 vaccinees), and blood samples isolated at days 0, 3, 7 post-vaccination. Microarrays were performed using total RNA extracted from the peripheral blood mononuclear cells of vaccinees.
2011-07-10 | E-GEOD-29614 | biostudies-arrayexpress
Project description:Daily sampling of peripheral blood from human subjects vaccinated for influenza was done immediately before vaccination and for 10 days after vaccination. Temporal patterns of gene expression, determined by RNA-seq, in unfractionated PBMC suggested migration of myeloid/dendritic cell lineage cells one day after vaccination.
2013-08-07 | GSE45735 | GEO
Project description:Daily sampling of peripheral blood from human subjects vaccinated for influenza was done immediately before vaccination and for 10 days after vaccination. Temporal patterns of gene expression, determined by RNA-seq, in unfractionated PBMC suggested migration of myeloid/dendritic cell lineage cells one day after vaccination. Five subjects, 11 time points per subject (pre-vaccination and daily for 10 days post-vaccination)
2013-08-07 | E-GEOD-45735 | biostudies-arrayexpress