Author

L. Geistlinger

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 Immunology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:clustering· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

G. Parmigiani· 2 shared L. Waldron· 2 shared M. Birrer· 2 shared A. C. Anderson· 1 shared A. C. Nelson· 1 shared A. Misra· 1 shared B. Haibe-Kains· 1 shared B. Winterhoff· 1 shared

Activity by Year

2017-2023 · 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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3 papers

Recent·Most cited

Charting the cellular biogeography in colitis reveals fibroblast trajectories and coordinated spatial remodeling

P. Cadinu, K. N. Sivanathan, A. Misra, R. J. Xu, D. Mangani, E. Yang, J. M. Rone, K. Tooley, Y.-C. Kye, L. Bod, L. Geistlinger, T. Lee, N. Ono, G. Wang, L. Sanmarco, , R. Nowarski

The paper uses MERFISH to analyze gene expression in a mouse colitis model, revealing fibroblast trajectories and spatial remodeling during inflammation.

bioRxiv · May 8, 2023Immunology

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