Author
J. G. Montoya
Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.
Biology Disciplines
Click to filter author papersSignature Assays, Organisms & Methods
Click to filter · or open tagActivity by Year
2018-2022 · peak 2/yrCo-Author Collaboration Network
10 top collaborators · 34 mutual co-author links6 papers
Recent·Most cited
- ImmunologybioRxiv
Magnitude and kinetics of the human immune cell response associated with severe dengue progression by single-cell proteomics
M. L. Robinson, D. R. Glass, V. Duran…·S. Einav
The paper uses single-cell proteomics to analyze immune cell responses in severe dengue patients, identifying distinct immune dynamics compared to uncomplicated dengue.
DOI 10.1126/sciadv.ade7702 - ImmunologybioRxiv
Differences in IgG antibody responses following BNT162b2 and mRNA-1273 Vaccines
J. G. Montoya, A. E. Adams, V. Bonetti…·D. L. Frosch
This study compares IgG antibody responses to BNT162b2 and mRNA-1273 vaccines, finding higher and earlier titers with mRNA-1273, possibly due to higher S-protein dosage.
DOI 10.1128/spectrum.01162-21 - BiochemistrybioRxivPreprint
High-Accuracy Multiplexed SARS-CoV-2 Antibody Assay with Avidity and Saliva Capability on a Nano-Plasmonic Platform
T. Liu, J. Hsiung, S. Zhao…·H. Dai
This paper develops a high-accuracy multiplexed SARS-CoV-2 antibody assay using a nano-plasmonic platform, showing high specificity and sensitivity in serum and saliva samples.
DOI 10.1101/2020.06.16.155580 - ImmunologybioRxivPreprint
An Inflammatory Clock Predicts Multi-morbidity, Immunosenescence and Cardiovascular Aging in Humans
N. Sayed, T. Gao, R. j. Tibshirani…·D. Furman
The paper develops an inflammatory clock of aging (iAge) using blood immunome data from 1001 individuals, showing it correlates with multi-morbidity, immunosenescence, and cardiovascular aging.
DOI 10.1101/840363 - ImmunologybioRxiv
Virus-inclusive single cell RNA sequencing reveals molecular signature predictive of progression to severe dengue infection
F. Zanini, M. Robinson, D. Croote…·S. Einav
This study uses single-cell RNA sequencing to identify molecular signatures predictive of severe dengue infection by analyzing PBMCs from dengue patients and healthy controls.