Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Influenza Vaccination Primes Human Myeloid Cell Cytokine Secretion and Natural Killer Cell Function

ABSTRACT: 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.

ORGANISM(S): Homo sapiens

PROVIDER: GSE133478 | GEO | 2019/08/31

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Influenza Vaccination Primes Human Myeloid Cell Cytokine Secretion and NK Cell Function.

Project description: Not available

| S-EPMC6739223 | biostudies-literature

Influenza Vaccination Primes Human Myeloid Cell Cytokine Secretion and Natural Killer Cell Function

Project description:Influenza Vaccination Primes Human Myeloid Cell Cytokine Secretion and Natural Killer Cell Function

| PRJNA551581 | ENA

Human Responses to Influenza Vaccination

Project description:<p>The data consist of the DNA sequences of antibody gene rearrangements from peripheral blood human B cells of subjects vaccinated with trivalent seasonal influenza or monovalent pandemic H1N1 vaccine. Multiple replicate libraries of immunoglobulin heavy chain gene rearrangements were prepared from each subject for each time point.</p>

| phs000760 | dbGaP

Single-cell analysis of the epigenomic and transcriptional landscape of innate immunity to seasonal and adjuvanted pandemic influenza vaccination in humans (TIV_scRNA-seq)

Project description:Human subjects were vaccinated with seasonal influenza vaccine (TIV, 2014-2015). We then used scRNA-seq to constructed the single-cell landscape of the innate immune response to TIV at the transcriptional level. PBMCs from vaccinated individuals were isolated at day 0, 1, and 30, then enriched for DC subsets using flow cytometry and analyzed using droplet-based single-cell gene expression profiling.

2021-06-25 | GSE165905 | GEO

Single-cell analysis of the epigenomic and transcriptional landscape of innate immunity to seasonal and adjuvanted pandemic influenza vaccination in humans (TIV_scATAC-seq)

Project description:Human subjects were vaccinated with seasonal influenza vaccine (TIV, 2014-2015). We then used scATAC-seq to construct the single-cell landscape of the innate immune response to TIV at the epigenomic level. PBMCs from vaccinated individuals were isolated at day 0, 1, and 30, then enriched for DC subsets using flow cytometry and analyzed using droplet-based single-cell chromatin accessibility profiling.

2021-06-25 | GSE165906 | GEO

Single-cell analysis of the epigenomic and transcriptional landscape of innate immunity to seasonal and adjuvanted pandemic influenza vaccination in humans

Project description:Human subjects were vaccinated with seasonal influenza vaccine at day 0 (TIV, 2014-2015). A subgroup of subjects (abx) received an additional oral antibiotic regimen, consisting of neomycin, vancomycin, and metronidazole, between days -3 and 1. CD14+ monocytes were isolated from PBMCs of vaccinated subjects (2 antibiotic treated, 3 controls) at day 0 and 30 using FACS. RNA-seq was used to analyze the transcriptional landscape in these cells.

2021-06-25 | GSE166063 | GEO

Single-cell analysis of the epigenomic and transcriptional landscape of innate immunity to seasonal and adjuvanted pandemic influenza vaccination in humans [ATAC-seq]

Project description:Human subjects were vaccinated with seasonal influenza vaccine at day 0 (TIV, 2014-2015). A subgroup of subjects (abx) received an additional oral antibiotic regimen, consisting of neomycin, vancomycin, and metronidazole, between days -3 and 1. CD14+ monocytes, mDCs, and pDCs were isolated from PBMCs of vaccinated subjects (3 antibiotic treated, 5 controls) at day -21 (BL), 0 and 30 using FACS. ATAC-seq was used to analyze the chromatin accessibility landscape in these cells.

2021-06-25 | GSE166180 | GEO

Vaccination Against MSI Colorectal Cancer

Project description:Patients with advanced microsatellite unstable (MSI-H) colorectal cancer will be vaccinated with three so called frame shift peptides (FSPs), AIM2(-1), HT001(-1) and TAF1B(-1) combined with Montanide ISA-51 VG. By this, an immune response directed against MSI-induced FSPs that are shared by the majority of MSI-H colorectal cancers can be induced. The aim is to show that vaccination against MSI-induced FSPs is safe and can induce or enhance immune responses against MSI-H colorectal cancer-associated antigens.

| 2114862 | ecrin-mdr-crc

DIVA Metabolomics: Differentiating Vaccination Status Following Viral Challenge Using Metabolomic Profiles

Project description:This study employed metabolomic profiling technologies, to identify metabolites (small molecules) in blood which are found at different levels in vaccinated compared to non-vaccinated animals exposed to virus.

2018-07-13 | MTBLS456 | MetaboLights

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

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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