Author

R. Distefano

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· 3

Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 3 Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Organism:human· 2 Approach:statistical model· 2 Approach:benchmark study· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1

Frequent Co-Authors

G. Nigita· 2 shared A. Canella· 1 shared A. G. West· 1 shared A. Gross· 1 shared A. Lagana· 1 shared A. Serin Harmanci· 1 shared B. Kader· 1 shared C. M. Croce· 1 shared

Activity by Year

2021-2021 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersCancer Biology

G. Nigita

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Author profile →

3 papers

Recent·Most cited

EZH2 inhibition in glioblastoma stem cells increases the expression of neuronal genes and the neuronal developmental regulators ZIC2, ZNF423 and MAFB

B. Kader, R. DiStefano, K. L. West, A. G. West

This study shows that EZH2 inhibition in GBM stem cells increases neuronal gene expression and the expression of ZIC2, ZNF423, and MAFB, suggesting a role for EZH2 in suppressing neurogenesis in GBM.

bioRxiv · Nov 22, 2021 · PreprintCancer Biology

Single-cell RNA Sequencing Reveals Immunosuppressive Myeloid Cell Diversity and Restricted Cytotoxic Effector Cell Trafficking and Activation During Malignant Progression in Glioma

S. Rajendran, C. Peterson, A. Canella, Y. Hu, A. Gross, M. Cam, A. Serin Harmanci, R. Distefano, G. Nigita, W. Wang, K. E. Miller, O. Elemento, R. D. Roberts, E. C. Holland, G. Rao, , P. Rajappa

This study uses single-cell RNA sequencing to analyze immune cell changes during glioma progression, identifying immunosuppressive myeloid cell subsets and potential therapeutic targets.

bioRxiv · Sep 24, 2021 · PreprintCancer Biology

A concurrent canonical and modified miRNAome pan-cancer study on TCGA and TARGET cohorts leads to an enhanced resolution in cancer

R. Distefano, L. Tomasello, G. L. R. Vinciguerra, P. Gasparini, Y. Xiang, M. Bagnoli, G. P. Marceca, P. Fadda, A. Lagana, M. Acunzo, Q. Ma, G. Nigita, C. M. Croce

The paper analyzes miRNA modifications in cancer using TCGA and TARGET datasets, showing improved clustering and prognostic insights from combining canonical and modified miRNAs.

bioRxiv · May 18, 2021 · PreprintCancer Biology