Author

O. Gugliemini

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 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Assay:ChIP-seq· 1 Assay:DNA methylation· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1

Frequent Co-Authors

V. Sarin· 2 shared A. Kang· 1 shared A. Kishishita· 1 shared A. P. Wiita· 1 shared A. Wiita· 1 shared B. C. Hann· 1 shared B. Hann· 1 shared B. Patino Escobar· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersCancer Biology

V. Sarin

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2 papers

Recent·Most cited

Functional multi-omics reveals genetic and pharmacologic regulation of surface CD38 in multiple myeloma

P. Choudhry, C. Kasap, B. Patino Escobar, O. Gugliemini, H. Geng, V. Sarin, A. Kang, A. Kishishita, S. Rampersaud, L. Sarah, Y.-H. T. Lin, N. Paranjape, P. Ramkumar, M. Marcoulis, D. Wang, , A. Wiita

This study uses multi-omics approaches to identify regulators of CD38 surface expression in multiple myeloma and assess the impact of therapies on CD38 levels and signaling.

bioRxiv · Aug 4, 2021 · PreprintCancer Biology

Evaluating the efficacy of multiple myeloma cell lines as models for patient tumors via transcriptomic correlation analysis

V. Sarin, K. Yu, I. D. Ferguson, O. Gugliemini, M. A. Nix, B. C. Hann, M. Sirota, A. P. Wiita

This study evaluates how well multiple myeloma cell lines represent patient tumors using transcriptomic correlation analysis, finding significant variation in their similarity to patient tumors.

bioRxiv · Nov 20, 2019Cancer Biology