Immunological Data Discovery Index
Immunological Data Discovery Index
| identifier: | SDY241 |
| description: |
Seasonal and pandemic influenza A virus (IAV) continues to be a public health threat. Modeling approaches were used combined with experimental data to investigate innate and adaptive immune responses to IAV infection. Mathematical models developed describe the dynamic interactions between influenza virus, target cells, cytotoxic lymphocytes, and virus-specific IgG and IgM. A two-compartment model developed quantifies the effects of viral replication and adaptive immunity.
|
| aggregation: |
instance of dataset
|
| availability: |
available with registration
|
| acknowledges: |
NIAID
|
| relatedIdentifiers: |
SDY224
|
| primaryPublications: |
22468229 22554464 23900141 19439465 21948988 20410284 |
| isAbout: |
Develop a two-compartment mathematical model to assess the individual contributions of antigen presentation and activation of naive T and B cells by antigen-presenting cells (APC), CD4 T-cell help, CD8 T-cell-mediated cytotoxicity, B cells and antibody to control influenza A virus (IAV) infection and to explore the influence of anatomical location.
|
| authorizations: |
registration required
|
| types: |
Enzyme-linked immunosorbent assay (ELISA)
Enzyme-Linked ImmunoSpot (ELISPOT)
Flow cytometry analyzed results
FCS control files
FCS sample files
|
| accessURL: |
https://www.immunespace.org/study/Studies/SDY241/dataset.view?datasetId=5003 https://www.immunespace.org/study/Studies/SDY241/dataset.view?datasetId=5004 https://www.immunespace.org/study/Studies/SDY241/dataset.view?datasetId=5017 https://www.immunespace.org/study/Studies/SDY241/dataset.view?datasetId=5019 https://www.immunespace.org/study/Studies/SDY241/dataset.view?datasetId=5018 |
| landingPage: |
https://www.immunespace.org/project/Studies/SDY241/begin.view? |
| subject species: | Mus musculus |
| study conditions: | Influenza |
| study type: | Longitudinal |
| study category: | Immune Response |
| assay type: |
ELISA ELISPOT Flow Cytometry |
| time point: |
<0 15-27 29-55 >56 |
| subject race: | Not_Specified |
| subject gender: |
Female Male |
| subject age: |
0-10 11-20 21-30 |
| name: |
Influenza infection response
|
| affiliations: |
University of Rochester
|
| fullName: |
David Topham, Hulin Wu
|
| roles: |
principal investigator
|
| name: |
Simulation and Prediction of the Adaptive Immune Response and Quantification of Early and Adaptive Immune Response Kinetics to Influenza A Virus Infection
|
| size: |
495
|
| output: |
Confirm the role of CD4 help for antibody persistence and the impacts of immune depletion.
|
| description: |
Modeling approaches were combined with experimental data to investigate innate and adaptive immune responses to IAV infection. Mathematical models developed describe the dynamic interactions between influenza virus, target cells, cytotoxic lymphocytes, and virus-specific IgG and IgM. In additon, a two-compartment model developed quantifies the effects of viral replication and adaptive immunity.
|
| name: |
ImmuneSpace
|
| homePage: |
http://www.immunespace.org |
