Author

E. Long

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 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Research Focus:host-pathogen & immune response· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1

Frequent Co-Authors

A. Pise· 2 shared B. Patterson· 2 shared E. B. Francisco· 2 shared H. Rodrigues· 2 shared J. Guevara-Coto· 2 shared J. Mora· 2 shared P. Parikh· 2 shared R. Yogendra· 2 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersImmunology

A. Pise

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Evidence for the role of selection for reproductively advantageous alleles in human aging

E. Long, J. G. Zhang

The paper tests the antagonistic pleiotropy hypothesis by analyzing UK Biobank data, finding a negative genetic correlation between reproductive traits and lifespan.

Science Advances · Dec 8, 2023Peer-reviewedEvolutionary Biology

Persistence of SARS CoV-2 S1 Protein in CD16+ Monocytes in Post-Acute Sequelae of COVID-19 (PASC) Up to 15 Months Post-Infection

B. Patterson, E. B. Francisco, R. Yogendra, E. Long, A. Pise, H. Rodrigues, E. Hall, M. Herrera, P. Parikh, J. Guevara-Coto, T. Triche, P. Scott, S. Hekmati, D. Maglinte, X. Chang, , J. Mora

This study finds SARS-CoV-2 S1 protein in non-classical monocytes in PASC patients up to 15 months post-infection, but not full-length viral RNA.

bioRxiv · Jun 25, 2021Immunology

Immune-Based Prediction of COVID-19 Severity and Chronicity Decoded Using Machine Learning

B. Patterson, J. Guevara-Coto, R. Yogendra, E. B. Francisco, e. long, A. Pise, H. Rodrigues, P. Parikh, J. Mora, R. A. Mora-Rodriguez

The paper uses machine learning to predict and distinguish phases of COVID-19 severity and chronicity based on immune profiles from different patient groups.

bioRxiv · Dec 16, 2020Immunology