Author

P. Cremaschi

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

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

D. Wetterskog· 2 shared G. Attard· 2 shared W. Devlies· 2 shared A. D. Lamb· 1 shared A. Erickson· 1 shared A. Jayaram· 1 shared A. Kiviaho· 1 shared A. M. M. Hasan· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersCancer Biology

D. Wetterskog

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Author profile →

2 papers

Recent·Most cited

Treatment-mediated selection of lethal prostate cancer clones defined by copy number architectures

A. M. M. Hasan, P. Cremaschi, D. Wetterskog, A. Jayaram, S. Q. Wong, S. Williams, A. Pasam, A. Trigos, B. Trujillo, E. Grist, S. Friedrich, O. Vainauskas, M. Parry, M. Ismail, W. Devlies, , G. Attard

The paper identifies treatment-selected lethal prostate cancer clones through copy number analysis of metastases from multiple organs.

bioRxiv · Sep 1, 2022 · PreprintCancer Biology

Single-cell ATAC and RNA sequencing reveal pre-existing and persistent subpopulations of cells associated with relapse of prostate cancer

S. Taavitsainen, N. Engedal, S. Cao, F. Handle, A. Erickson, S. Prekovic, D. Wetterskog, T. Tolonen, E. M. Vuorinen, A. Kiviaho, R. Nätkin, T. Häkkinen, W. Devlies, S. Henttinen, R. Kaarijärvi, , A. Urbanucci

The paper uses single-cell ATAC and RNA sequencing to identify pre-existing and treatment-persistent stem-like cell subpopulations in prostate cancer models that predict treatment response.

bioRxiv · Feb 9, 2021Cancer Biology