Author

M. Ritchie

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 Cancer Biology· 1 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:experimental assay· 2 Organism:human· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:chromatin & epigenetic regulation· 1 Approach:deep learning· 1

Frequent Co-Authors

A. Audia· 1 shared A. Bakayoko· 1 shared A. P. Uldrich· 1 shared A. Wesa· 1 shared B. Vishwakarma· 1 shared B. Walling· 1 shared C. F. Almeida· 1 shared C. V. Nguyen-Robertson· 1 shared

Activity by Year

2021-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperCancer Biology

A. Audia

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Genomic analyses in Drosophila do not support the classic allopatric model of speciation.

L. Yusuf, K. Lohse, D. R. Laetsch, M. Ritchie

The study analyzes genomic data from Drosophila species to test the allopatric speciation model, finding common gene flow and suggesting speciation often involves long-term gene flow rather than extensive allopatry.

bioRxiv · May 20, 2024Evolutionary Biology

Jchain-Diphtheria Toxin Receptor Mice Allow for Diphtheria Toxin-Mediated Depletion of Antibody-Secreting Cells and Analysis of Differentiation Kinetics

K. T. Pioli, M. Ritchie, H. Haq, P. D. Pioli

This study develops J-DTR mice to deplete antibody-secreting cells with diphtheria toxin and analyze their differentiation kinetics.

bioRxiv · May 6, 2024 · PreprintImmunology

Pharmaco-Pheno-Multiomic Integration Reveals Biomarker Profiles and Therapeutic Response Prediction Models in Leukemia and Ovarian Cancer

G. Silberberg, B. Walling, A. Wesa, A. Audia, I. Sloma, Y. Zeng, G. Han, J. Tabg, P. Pammer, A. Bakayoko, X. Ren, D. Ciznadija, X. Ren, B. Vishwakarma, Y. Mosesson, , M. RItchie

This study integrates multi-omic and phenotypic data to predict therapeutic response in leukemia and ovarian cancer, identifying biomarker profiles and mechanisms of resistance.

bioRxiv · Jun 14, 2022Cancer Biology

CD36 family members are TCR-independent ligands for CD1 antigen-presentingmolecules

N. A. Gherardin, S. J. Redmond, H. E. McWilliam, C. F. Almeida, K. H. Gourley, R. Seneviratna, S. Li, R. De Rose, C. V. Nguyen-Robertson, S. Su, M. Ritchie, J. A. Villadangos, D. B. Moody, D. G. Pellicci, A. P. Uldrich, D. I. Godfrey

The paper identifies CD36 family members as ligands for CD1 molecules and shows that blocking this interaction enables accurate identification of CD1-restricted T cells.

bioRxiv · Mar 10, 2021Immunology