Author

M. Birrer

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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Cancer Biology· 2 Cell Biology· 1 Immunology· 1

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Approach:statistical model· 4 Research Focus:differential expression· 3 Organism:human· 3 Assay:scRNA-seq· 3 Assay:bulk RNA-seq· 2 Research Focus:cell type annotation· 2 Research Focus:cell-cell communication· 2 Research Focus:clustering· 2

Frequent Co-Authors

G. Parmigiani· 2 shared L. Geistlinger· 2 shared L. Waldron· 2 shared A. C. Nelson· 1 shared B. Haibe-Kains· 1 shared B. Winterhoff· 1 shared C. Daughters· 1 shared C. Henzler· 1 shared

Activity by Year

2017-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersCancer Biology

G. Parmigiani

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Author profile →

4 papers

Recent·Most cited

Single-cell analysis of ovarian myeloid cells identifies aging associated changes in macrophages and signaling dynamics

Z. Zhang, L. Huang, L. Brayboy, M. Birrer

The paper uses single-cell RNA sequencing and flow cytometry to analyze myeloid cells in young and aged mouse ovaries, identifying aging-related changes in macrophage subsets and signaling pathways.

bioRxiv · Jun 13, 2024 · PreprintImmunology

Single cell compendium of muscle microenvironment in peripheral artery disease reveals altered endothelial diversity and LYVE1+ macrophage activation

G. Turiel, T. Desgeorges, E. Masschelein, Z. Fan, D. Lussi, C. M. Capelle, G. Bernardini, R. Ardicoglu, K. Schönberger, M. Birrer, S. F. Fucentese, J. Zhang, D. Latorre, S. Engelberger, K. De Bock

This study uses single-cell RNA sequencing and spatial transcriptomics to characterize the muscle microenvironment in PAD, identifying altered endothelial diversity and LYVE1+ macrophage activation.

bioRxiv · Jun 21, 2023Cell Biology

Multi-omic analysis of subtype evolution and heterogeneity in high-grade serous ovarian carcinoma

L. Geistlinger, S. Oh, M. Ramos, L. Schiffer, R. LaRue, C. Henzler, S. Munro, C. Daughters, A. C. Nelson, B. Winterhoff, Z. Chang, S. Talukda, M. Shetty, S. Mullany, M. Morgan, , L. Waldron

This paper investigates the evolution and heterogeneity of high-grade serous ovarian carcinoma using multi-omic analysis, finding that subtypes emerge later in tumor development and are not discrete but rather part of a continuous spectrum.

bioRxiv · Jun 12, 2020Cancer Biology

Consensus on Molecular Subtypes of Ovarian Cancer

G. M. Chen, L. Kannan, L. Geistlinger, V. Kofia, Z. Safikhani, D. M. A. Gendoo, G. Parmigiani, M. Birrer, B. Haibe-Kains, L. Waldron

The paper evaluates three ovarian cancer subtype classifiers, finds they are not robust, and proposes a consensus classifier with a 100-gene signature that improves stratification of a minority of tumors.

bioRxiv · Jul 12, 2017Cancer Biology