Author

E. Adams

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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Ecology· 2 Immunology· 2 Microbiology· 2 Bioengineering· 1 Cancer Biology· 1 Pathology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 5 Organism:human· 5 Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Research Focus:host-pathogen & immune response· 2 Assay:imaging· 2 Approach:statistical model· 2 Organism:bacteria (other)· 1

Frequent Co-Authors

A. Clark· 1 shared A. F. Howard· 1 shared A. K. Carlson· 1 shared A. Price· 1 shared B. Bothner· 1 shared B. O'Brien· 1 shared B. Ostrowsky· 1 shared B. Ramaswamy· 1 shared

Activity by Year

2018-2021 · peak 4/yr

Co-Author Collaboration Network

10 top collaborators · 8 mutual co-author links

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Curved chords = mutual co-authorship

1 shared paperMicrobiology

A. Clark

Mutual co-authors in cluster

Author profile →

9 papers

Recent·Most cited

Examining the effectiveness of blanket curtailment strategies in reducing bat fatalities at terrestrial wind farms in North America

E. Adams, J. Gulka, K. A. Williams

This study evaluates the effectiveness of blanket curtailment strategies in reducing bat fatalities at wind farms using a meta-analysis of 36 studies, finding a 56% fatality reduction but limited statistical power to detect smaller effects.

bioRxiv · Aug 17, 2021Ecology

The Forget-Me-Not dHCP study: 7 Tesla high resolution diffusion imaging in the unfixed post-mortem neonatal brain

W. Wu, L. Baxter, S. W. Rieger, E. Adams, J. L. R. Andersson, M. C. Andrade, F. Andritsou, M. Bastiani, R. E. Fry, R. Frost, S. Fitzgibbon, S. Foxley, D. Fowler, C. Gallagher, A. F. Howard, , K. L. Miller

The paper describes the Forget-Me-Not dHCP study, which acquires high-resolution diffusion MRI data from unfixed post-mortem neonatal brains and presents preliminary analyses of cortical and white matter structures.

bioRxiv · Jun 24, 2021 · PreprintBioengineering

A highly multiplexed melt-curve assay for detecting the most prevalent carbapenemase, ESBL and AmpC genes

T. Edwards, C. Williams, Y. Teethaisong, J. Sealey, S. Sasaki, G. Hobbs, L. Cuevas, K. Evans, E. Adams

The paper develops a highly multiplexed HRM assay to detect ESBL, carbapenemase, and AmpC genes in Gram-negative bacteria with high sensitivity and specificity.

bioRxiv · Nov 15, 2019Microbiology

Laboratory Analysis of an Outbreak of Candida auris in New York from 2016 to 2018-Impact and Lessons Learned

Y. C. Zhu, B. O'Brien, L. Leach, A. Clark, M. Bates, E. Adams, B. Ostrowsky, M. Quinn, E. Dufort, K. Southwick, R. Erazo, V. B. Haley, C. Bucher, V. Chaturvedi, R. J. Limberger, , S. Chaturvedi

This study analyzes a C. auris outbreak in New York, identifying factors contributing to its spread and demonstrating the effectiveness of new detection methods.

bioRxiv · Sep 6, 2019Microbiology

Machine learning predicts rapid relapse of triple negative breast cancer

Y. Zhang, W. Nock, M. Wyse, Z. Weber, E. Adams, S. Stockard, D. Tallman, S. Asad, E. P. Winer, N. U. Lin, M. Cherian, M. Lustberg, B. Ramaswamy, S. Sardesai, J. Vandeusen, , D. G. Stover

The paper uses machine learning to predict rapid relapse of triple-negative breast cancer based on clinical and genomic features.

bioRxiv · Apr 21, 2019Cancer Biology

Spatio-Temporal Dynamics of Landscape Use by the Bumblebee Bombus atratus (Hymenoptera: Apidae) and its relationship with pollen provisioning.

P. Cavigliasso, C. Phifer, E. Adams, D. Flaspohler, G. Gennari, J. Licata, N. Chacoff

This study tracks queen bumblebee movements in blueberry fields to understand how land use and floral resources influence their foraging behavior across different lifecycle stages.

bioRxiv · Apr 17, 2019Ecology

TCR-pMHC bond length controls TCR ligand discrimination

D. K. Sasmal, W. Feng, S. Roy, P. Leung, Y. He, C. Cai, G. Cao, H. Lian, J. Qin, E. Hui, H. Schreiber, E. Adams, J. Huang

This study shows that TCR-pMHC bond length controls TCR ligand discrimination by affecting CD3ζ ITAM phosphorylation and downstream signaling.

bioRxiv · Oct 12, 2018 · PreprintImmunology

Characterization of osteoarthritis phenotypes by global metabolomic profiling of human synovial fluid

A. K. Carlson, R. A. Rawle, C. W. Wallace, E. G. Brooks, E. Adams, M. C. Greenwood, M. Olmer, M. Lotz, B. Bothner, R. June

This study identifies distinct metabolic phenotypes in human synovial fluid across osteoarthritis stages, revealing disease-specific metabolic pathways and potential biomarkers.

bioRxiv · Sep 7, 2018 · PreprintPathology

CD4+ T cell fate decisions are stochastic, precede cell division, depend on GITR co-stimulation, and are associated with uropodium development

S. P. Cobbold, E. Adams, D. Howie, H. Waldmann

The paper shows CD4+ T cell fate decisions are stochastic, occur before division, depend on GITR co-stimulation, and link to uropodium development and lineage-specific signaling.

bioRxiv · Apr 9, 2018Immunology