Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

FACS-sorted cells from Young Adults Vaccinated with Influenza TIV or LAIV Vaccines during 2008/09 Flu Season

ABSTRACT: 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.

ORGANISM(S): Homo sapiens

SUBMITTER: Helder Nakaya

PROVIDER: E-GEOD-29618 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

Systems biology of vaccination for seasonal influenza in humans

Project description:This SuperSeries is composed of the following subset Series: GSE29614: Time Course of Young Adults Vaccinated with Influenza TIV Vaccine during 2007/08 Flu Season GSE29615: Time Course of Young Adults Vaccinated with Influenza LAIV Vaccine during 2008/09 Flu Season GSE29617: Time Course of Young Adults Vaccinated with Influenza TIV Vaccine during 2008/09 Flu Season GSE29618: FACS-sorted cells from Young Adults Vaccinated with Influenza TIV or LAIV Vaccines during 2008/09 Flu Season Refer to individual Series

2011-07-10 | E-GEOD-29619 | biostudies-arrayexpress

Single-cell RNAseq of Human T lymphocyte derived from H7N9 infected patients

Project description:Comparing transcriptomes of CD8 T cells derived from a fatal H7N9 influenza infection with those derived from a patient that survived the infection. Specifically, CD38+ HLA-DR+ cells were sorted by flow cytometry at different sampling time-points, and the transcriptome was analysed using Smart-seq2.

2018-01-30 | E-MTAB-6379 | biostudies-arrayexpress

Genomic Fingerprints of DC Subsets in the Human Vaginal Mucosa, Skin, and Blood

Project description:Dendritic cells (DC) localize throughout the body, where they sense and capture invading pathogens to induce protective immune responses. Hence, harnessing the biology of tissue-resident DC is crucial for the rational design of vaccines against pathogens. Herein, we characterized the transcriptomes of four antigen presenting cell (APC) subsets from the human vagina (vLC, vCD14- DC, vCD14+ DC, vMM-NM-&) and compared them to those of three skin DC (sDC) subsets and blood myeloid DC. We find that APC genomic fingerprints are significantly influenced by the tissue of origin as well as by individual APC subsets. Nonetheless, CD14+ APC from both vagina and skin are geared towards innate immunity and pro-inflammatory responses, whereas CD14- DC, particularly sLC, vLC, and vCD14- DC, display both Th2-inducing and regulatory phenotypes. We also identified vAPC subset-specific cellular and functional biomarkers that will guide the design of mucosal vaccines against sexually transmitted pathogens. Vaginal and skin tissues were obtained from female patients who underwent pelvic or cosmetic surgeries under protocols approved by the Institutional Review Board (IRB) of Baylor Research Institute (BRI). Patients were not infected with HIV, HCV or TB and did not display inflammation in the tissues. No other diagnosis information was available. Blood from healthy female volunteers was obtained under a protocol approved by the IRB of BRI. 87 total samples. 6 Blood mDC; 16 Dermal CD1c+CD14-; 10 Epidermal LC; 12 Vaginal CD1c+CD14-; 13 Vaginal CD1c+CD14+; 7 Vaginal HLADR- w/ 2 replicates (Vaginal HLADR-_VM610 and Vaginal HLADR-_VM611); 9Vaginal LC; 14 Vaginal Macrophage.

2014-12-17 | E-GEOD-54480 | biostudies-arrayexpress

BDCA1+ mDCs and BDCA3+ mDCs stimulated with vaccines for 6 hr

Project description:The mechanisms by which vaccines interact with human APCs remain elusive. We applied systems biology to define the transcriptional programs induced in human DCs by pathogens, innate receptor ligands and vaccines. Upon exposing DCs to influenza, Salmonella enterica and Staphylococcus aureus, we built a modular framework containing 204 pathogen-induced transcript clusters. Module fingerprints were then analyzed in DCs activated with 16 innate receptor ligands. This framework was then used to characterize human monocytes, IL-4 DC and blood DC subsets responses to 13 vaccines. Different vaccines induced distinct signatures based on pathogen type, adjuvant formulation and APC targeted. Fluzone broadly activated IL-4 DC whereas pneumovax only activated monocytes and gardasil (HPV) only activated CD1c+ mDC. This highlights that different antigen-presenting cells respond to different vaccines. Finally, the blood signatures from individuals vaccinated with fluzone or infected with influenza were interpreted using these modules. We identified a signature of adaptive immunity activation following vaccination and symptomatic infections, but not asymptomatic infections. These data, offered with a web interface, might guide the development of improved vaccines. 5 donors; 88 samples; duplicate technical replicates for the medium control for each donor for the BDCA1+ mDC population; single medium control for each donor for the BDCA3+ mDC population (15 total medium controls).

2014-10-22 | E-GEOD-56744 | biostudies-arrayexpress

Gene expression analysis during acute hepatitis C virus infection associates dendritic cell activation with viral clearance

Project description:Background and Aims: Viral clearance during acute hepatitis C virus (HCV) infection is associated with the induction of potent antiviral T-cell responses. Since dendritic cells (DC) are essential in the activation of primary T-cell responses our goal was to analyze gene expression in DC from patients during acute HCV infection. Methods: By using microarrays, gene expression was compared in resting and activated peripheral blood plasmacytoid (pDC) and myeloid (mDC) DC from acute HCV resolving patients (AR) and from those who become chronically infected (ANR), as well as in HCV chronically infected patients (CHR) and healthy seronegative individuals (CTRL). Results: For pDC, a high number of upregulated genes related to different functions and processes was found in AR patients, irrespective of DC stimulation. However, for mDC, most evident differences were detected after DC stimulation, again corresponding to upregulated genes in AR patients. Differences between AR and ANR were also observed when comparing their DC with those from CHR patients and CTRL individuals. Most differences corresponded to metabolism-associated genes, with upregulation in AR patients of genes belonging to pathways associated with DC activation and cytokine responses. Conclusion: Our results show that upregulation of relevant genes in DC during acute HCV infection may determine viral clearance, suggesting that dysfunctional DC may be responsible for the lack of efficient T-cell responses which lead to chronic HCV infection. Gene expression was compared in resting and activated peripheral blood plasmacytoid (pDC) and myeloid (mDC) DC from acute HCV resolving patients (AR) and from those who become chronically infected (ANR), as well as in HCV chronically infected patients (CHR) and healthy seronegative individuals (CTRL)

2016-07-29 | E-GEOD-65123 | biostudies-arrayexpress

Genome-Wide DNA Methylation Profiles in Hematopoietic Stem and Progenitor Cells Reveal Over-Representation of ETS Transcription Factor Binding Sites

Project description:DNA methylation is an essential epigenetic mark that is required for normal development. Knockout of the DNA methyltransferase enzymes in the mouse hematopoietic compartment reveals that methylation is critical for hematopoietic differentiation. To better understand the role of DNA methylation in hematopoiesis, we characterized genome-wide DNA methylation in primary mouse hematopoietic stem cells (HSC), common myeloid progenitors (CMP), and erythroblasts (ERY). Methyl Binding Domain protein 2 (MBD) enrichment of DNA followed by massively-parallel sequencing (MBD-Seq) was used to map genome-wide DNA methylation. Globally, DNA methylation was most abundant in HSC, with a 40% reduction in CMP, and 67% reduction in ERY. Only 3% of peaks arise during differentiation demonstrating a genome-wide decline in DNA methylation during erythroid development. Analysis of genomic features revealed that 98% of promoter CpG islands are hypomethylated, while 20-25% of non-promoter CpG islands are methylated. Proximal promoter sequences of expressed genes are hypomethylated in all cell types, while gene body methylation positively correlates with gene expression in HSC and CMP. Elevated genome-wide DNA methylation in HSC and the positive association between methylation and gene expression demonstrates that DNA methylation is a mark of cellular plasticity in HSC. Utilizing de novo motif discovery we identified overrepresented transcription factor consensus binding motifs in methylated sequences. Motifs for several ETS transcription factors, including GABPalpha and ELF1 are overrepresented in methylated regions. Our genome-wide survey demonstrates that DNA methylation is markedly altered during myeloid differentiation and identifies critical regions of the genome and transcription factor programs that contribute to hematopoiesis. Examination of changes in methylation profiles during hematopoietic stem cell differentiation

2012-06-01 | E-GEOD-38354 | biostudies-arrayexpress

Changes in gene expression profiles of circulating B cells after influenza vaccination in healthy human subjects

Project description:Daily sampling of peripheral blood from human subjects vaccinated for influenza was done immediately before vaccination and for 10 days after vaccination. In B cells, 90% of transcriptomic variation in subjects who received influenza vaccine within the previous three years was explained by a single temporal pattern unique to the individual. A common set of 742 genes was strongly correlated with the migration of differentiating plasma cell subtypes. Five subjects, 11 time points per subject (pre-vaccination and daily for 10 days post-vaccination)

2013-08-07 | E-GEOD-45734 | biostudies-arrayexpress

Transcription profiling by array of mouse C57BL/6 and congenic line B strain hematopoietic progenitor cells

Project description:comparing gene expression in hematopoietic progenitor cells from bone marrow from C57BL/6 and the congenic line B

2010-10-10 | E-MEXP-2911 | biostudies-arrayexpress

Human dendritic cell subsets in acute skin inflammation

Project description:An unexpected BDCA-2+CD123+CD1a+ dendritic cell (DC) subset comprised a major DC population in acute human sterile skin inflammation. Single-cell RNAseq showed these to be activated DC able to express markers normally associated with plasmacytoid DC, prompting a re-evaluation of previous studies.

2019-12-01 | E-MTAB-8498 | biostudies-arrayexpress

Single cell RNA-sequencing of murine endothelial and stromal populations at embryonic day 17 (E17)

Project description:The origin of bone marrow stromal cells (BMSCs) is not completely understood. We have identified a rare population of cells with a transcriptional profile consistent with endothelial to mesenchymal transition (Endo-MT) in human fetal development. Therefore, we hypothesized that Endo-MT contributes to bone marrow niche formation in mammals. Here, we sought to determine whether Endo-MT cells could be identified in murine bone marrow during embryonic development. We isolated bone marrow and collagenased bone fraction from long bones of 9 fetuses at embryonic day 17 (E17) and FACS purified endothelial cells and BMSCs for single cell RNA sequencing.

2021-01-21 | E-MTAB-9994 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data