Author

A. Solis

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Immunology· 2 Ecology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Research Focus:host-pathogen & immune response· 2 Organism:human· 2 Organism:mouse· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Assay:metagenomics· 1

Frequent Co-Authors

M. B. Fessler· 2 shared S. Garantziotis· 2 shared S. Hussain· 2 shared X. Meng· 2 shared Y. Sakamachi· 2 shared A. Gleiberman· 1 shared A. Horton· 1 shared A. Janusauskaite· 1 shared

Activity by Year

2018-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersImmunology

M. B. Fessler

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Toll-Like-Receptor 5 protects against pulmonary fibrosis by reducing lung dysbiosis

A. Gleiberman, R. Invernizzi, P. L. Molyneaux, B. G. Wu, Y. Lipinski, M. Kugler, L. N. Segal, Y. Sakamachi, E. Wiley, A. Solis, C. G. Johnson, X. Meng, J. Malphurs, B. Papas, S. Mehta, , N. Kaminski

TLR5 deficiency is linked to pulmonary fibrosis due to its role in preventing microbial dysbiosis following lung injury.

bioRxiv · Apr 30, 2024 · PreprintImmunology

TLR5 participates in the TLR4 receptor complex and biases towards MyD88-dependent signaling in environmental lung injury

S. Hussain, C. C. Johnson, J. Sciurba, X. Meng, V. P. Stober, C. Liu, J. Cypher-Daly, K. Bulek, W. Qian, A. Solis, Y. Sakamachi, C. Trempus, J. J. Aloor, K. Gowdy, W. M. Foster, , S. Garantziotis

This study shows TLR5 associates with TLR4 and biases its signaling toward MyD88 in lung injury responses to LPS, hyaluronan, and O3.

bioRxiv · Oct 3, 2019Immunology

Modelling the distribution of Aedes aegypti and Aedes albopictus using climate, host density and interspecies competitive effects

B. Yang, B. A. Borgert, B. W. Alto, C. K. Boohene, P. Brabant, J. Brew, K. Deutsch, J. T. DeValerio, R. R. Dinglasan, D. Dixon, J. M. Faella, S. L. Fisher-Grainger, G. E. Glass, R. Hayes, D. F. Hoel, , D. A. T. Cummings

The paper develops a predictive model for the spatial distribution of Aedes aegypti and Aedes albopicti in Florida using climate, host density, and competitive interactions, achieving high validation accuracy.

bioRxiv · Dec 17, 2018 · PreprintEcology