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| ID | Type | Description | Link |
|---|---|---|---|
| 5U19AI111825 | U.S. NIH Grant/Contract | View source |
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| Name | Class |
|---|---|
| National Institute of Allergy and Infectious Diseases (NIAID) | NIH |
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The immune system is composed of diverse cell types with different functions that act together in order to defend against infection. This pilot study will test a new technology for studying these many different cell types at very large numbers at the level of individual cells. This method will then be used to identify the cell types and functions important for the immune response to the highly protective yellow fever vaccine, which will improve our understanding of effective vaccine features.
Vaccines have had monumental impact in reducing the mortality and morbidity of infectious disease. However, the underlying immune mechanisms that contribute to their effectiveness are incompletely understood. Transcriptomics (methods that measure the activity of thousands of genes) studies have identified key features of responses to vaccination(see references) and infection(see references). However, these experiments are typically performed on heterogeneous cell mixtures such as peripheral blood mononuclear cells (PBMC which include certain types of white blood cells) and therefore provide an aggregate measure of gene expression from the many different immune cells and their respective activities in the mixture. Such results can obscure important biological information, particularly in minor subsets of active cells. Establishing a method for immune transcriptomics at single cell resolution would be a highly significant advance and enable more informative and functionally relevant systems immunology studies with commonly used sample types (i.e. PBMC). Applying this high-resolution approach to Yellow Fever Vaccine (YFV), an exceptionally effective vaccine, is likely to identify unappreciated mechanisms that contribute to protective immunity.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Yellow Fever Vaccine Participant | Healthy participants who receive the Yellow fever vaccine for travel and/or occupational risk will have peripheral blood samples collected longitudinally at time points selected for different immune events post-vaccination according to published studies (Day 0 baseline; Days: 3, 7, 14, and 42). |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Yellow Fever Vaccine | Drug | Yellow Fever Vaccine .5 ml |
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| Measure | Description | Time Frame |
|---|---|---|
| Feasibility and accuracy of inDrop RNA-Seq | The feasibility and accuracy of inDrop RNA-Seq for distinguishing different cell types will be assessed by comparing (for concordance) cell subset population frequency and distribution values determined by inDrop RNA-seq to cell subset population frequency and distribution values determined by flow cytometry immunophenotyping, the present "gold standard" technique. | up to 42 days post baseline visit |
| Measure | Description | Time Frame |
|---|---|---|
| Utility of inDrop RNA-Seq | The utility of inDrop RNA-Seq for characterizing an immune response will be determined by measuring cell subset frequencies and gene expression profiles at single cell resolution over time following YFV. | Days 0, 3, 7, 14, 42 |
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Inclusion Criteria:
Exclusion Criteria:
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Healthy Volunteers
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| Name | Affiliation | Role |
|---|---|---|
| Brad R Rosenberg, MD, PhD | Icahn School of Medicine at Mount Sinai | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| The Rockefeller University | New York | New York | 10065 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 19029902 | Background | Querec TD, Akondy RS, Lee EK, Cao W, Nakaya HI, Teuwen D, Pirani A, Gernert K, Deng J, Marzolf B, Kennedy K, Wu H, Bennouna S, Oluoch H, Miller J, Vencio RZ, Mulligan M, Aderem A, Ahmed R, Pulendran B. Systems biology approach predicts immunogenicity of the yellow fever vaccine in humans. Nat Immunol. 2009 Jan;10(1):116-125. doi: 10.1038/ni.1688. Epub 2008 Nov 23. | |
| 23601689 | Background | Obermoser G, Presnell S, Domico K, Xu H, Wang Y, Anguiano E, Thompson-Snipes L, Ranganathan R, Zeitner B, Bjork A, Anderson D, Speake C, Ruchaud E, Skinner J, Alsina L, Sharma M, Dutartre H, Cepika A, Israelsson E, Nguyen P, Nguyen QA, Harrod AC, Zurawski SM, Pascual V, Ueno H, Nepom GT, Quinn C, Blankenship D, Palucka K, Banchereau J, Chaussabel D. Systems scale interactive exploration reveals quantitative and qualitative differences in response to influenza and pneumococcal vaccines. Immunity. 2013 Apr 18;38(4):831-44. doi: 10.1016/j.immuni.2012.12.008. |
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| ID | Term |
|---|---|
| D022341 | Yellow Fever Vaccine |
| ID | Term |
|---|---|
| D014765 | Viral Vaccines |
| D014612 | Vaccines |
| D001688 | Biological Products |
| D045424 | Complex Mixtures |
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Research Bloods
| 24725414 | Background | Tsang JS, Schwartzberg PL, Kotliarov Y, Biancotto A, Xie Z, Germain RN, Wang E, Olnes MJ, Narayanan M, Golding H, Moir S, Dickler HB, Perl S, Cheung F; Baylor HIPC Center; CHI Consortium. Global analyses of human immune variation reveal baseline predictors of postvaccination responses. Cell. 2014 Apr 10;157(2):499-513. doi: 10.1016/j.cell.2014.03.031. |
| 24336226 | Background | Li S, Rouphael N, Duraisingham S, Romero-Steiner S, Presnell S, Davis C, Schmidt DS, Johnson SE, Milton A, Rajam G, Kasturi S, Carlone GM, Quinn C, Chaussabel D, Palucka AK, Mulligan MJ, Ahmed R, Stephens DS, Nakaya HI, Pulendran B. Molecular signatures of antibody responses derived from a systems biology study of five human vaccines. Nat Immunol. 2014 Feb;15(2):195-204. doi: 10.1038/ni.2789. Epub 2013 Dec 15. |
| 19047440 | Background | Gaucher D, Therrien R, Kettaf N, Angermann BR, Boucher G, Filali-Mouhim A, Moser JM, Mehta RS, Drake DR 3rd, Castro E, Akondy R, Rinfret A, Yassine-Diab B, Said EA, Chouikh Y, Cameron MJ, Clum R, Kelvin D, Somogyi R, Greller LD, Balderas RS, Wilkinson P, Pantaleo G, Tartaglia J, Haddad EK, Sekaly RP. Yellow fever vaccine induces integrated multilineage and polyfunctional immune responses. J Exp Med. 2008 Dec 22;205(13):3119-31. doi: 10.1084/jem.20082292. Epub 2008 Dec 1. |
| 26742691 | Background | Fourati S, Cristescu R, Loboda A, Talla A, Filali A, Railkar R, Schaeffer AK, Favre D, Gagnon D, Peretz Y, Wang IM, Beals CR, Casimiro DR, Carayannopoulos LN, Sekaly RP. Pre-vaccination inflammation and B-cell signalling predict age-related hyporesponse to hepatitis B vaccination. Nat Commun. 2016 Jan 8;7:10369. doi: 10.1038/ncomms10369. |
| 24981333 | Background | Kwissa M, Nakaya HI, Onlamoon N, Wrammert J, Villinger F, Perng GC, Yoksan S, Pattanapanyasat K, Chokephaibulkit K, Ahmed R, Pulendran B. Dengue virus infection induces expansion of a CD14(+)CD16(+) monocyte population that stimulates plasmablast differentiation. Cell Host Microbe. 2014 Jul 9;16(1):115-27. doi: 10.1016/j.chom.2014.06.001. Epub 2014 Jun 26. |
| 24851811 | Background | Suthar MS, Pulendran B. Systems analysis of West Nile virus infection. Curr Opin Virol. 2014 Jun;6:70-5. doi: 10.1016/j.coviro.2014.04.010. Epub 2014 May 20. |