Author

Y. Takele

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· 3

Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Organism:human· 3 Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Assay:flow cytometry· 2 Research Focus:host-pathogen & immune response· 2 Assay:clinical cohort / trial· 1 Assay:proteomics· 1

Frequent Co-Authors

E. Adem· 3 shared I. Muller· 3 shared P. Kropf· 3 shared J. A. Cotton· 2 shared M. Kaforou· 2 shared M. Levin· 2 shared R. Womersley· 2 shared S. U. Franssen· 2 shared

Activity by Year

2021-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersImmunology

E. Adem

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Author profile →

3 papers

Recent·Most cited

Altered co-stimulatory and inhibitory receptors on monocyte subsets in patients with visceral leishmaniasis

E. Adem, E. Yizengaw, T. Mulaw, E. Nibret, I. Muller, Y. Takele, P. Kropf

This study examines changes in co-stimulatory and inhibitory receptors on monocyte subsets in visceral leishmaniasis patients before and after treatment.

bioRxiv · Mar 18, 2024Immunology

Impaired in vitro Interferon-γ production in patients with visceral leishmaniasis is improved by inhibition of PD1/PDL-1 ligation

Y. Takele, E. Adem, S. U. Franssen, R. Womersley, M. Kaforou, M. Levin, I. Muller, J. A. Cotton, P. Kropf

This study shows that PD1/PDL-1 inhibition increases IFN-γ production in VL patients, suggesting potential for immune checkpoint therapy.

bioRxiv · Nov 1, 2021Immunology

Immunological factors, but not clinical features, predict visceral leishmaniasis relapse in patients co-infected with HIV

Y. Takele, T. Mulaw, E. Adem, C. J. Shaw, S. U. Franssen, R. Womersley, M. Kaforou, G. P. Taylor, M. Levin, I. Muller, J. A. Cotton, P. Kropf

The paper identifies three immunological markers that predict visceral leishmaniasis relapse in HIV co-infected patients, showing they are more predictive than clinical features.

bioRxiv · Mar 30, 2021Immunology