Author

Rafael L. Bejar

Moores Cancer CenterORCID 0000-0002-5603-4598Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genomics· 2 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Assay:DNA methylation· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:variant calling· 2 Approach:benchmark study· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1

Frequent Co-Authors

Carlo FinelliiD· 2 shared Matilde Y. FolloiD· 2 shared Valeria SantiniiD· 2 shared Agnes J. VialeiD· 1 shared Akifumi Takaori‐KondoiD· 1 shared Alexandra G. SmithiD· 1 shared Alice Brogi· 1 shared Amy Elizabeth DezerniD· 1 shared

Activity by Year

2020-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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2 shared papersCancer Biology

Carlo FinelliORCID

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3 papers

Recent·Most cited

Unique epigenomic signatures identify biologically significant subtypes of MDS and predict response to azacitidine

Qin Yang, Miguel Torres‐Martín, Masataka Taguchi, Alice Brogi, Irene Casalin, Eleonora Ceneri, Stephanie Halene, Amy Elizabeth Dezern, Elizabeth A. Griffiths, Matilde Y. Follo, Carlo Finelli, Jerald P. Radich, Michael J. Rauh, Rafael L. Bejar, Mikkael Aaron Sekeres, , María E. Figueroa

This study identifies epigenetic subtypes of MDS using DNA methylation patterns and develops a predictive signature for azacitidine response.

bioRxiv · Apr 23, 2025 · PreprintCancer Biology

Droplet Hi-C for Fast and Scalable Profiling of Chromatin Architecture in Single Cells

Lei Chang, Yang Xie, Brett Taylor, Zhaoning Wang, Jiachen Sun, Tuyet M. Tan, Rafael L. Bejar, Clark C. Chen, Frank B. Furnari, Ming Hu, Bing Ren

The paper introduces Droplet Hi-C, a method for single-cell chromatin conformation profiling, and demonstrates its application in analyzing gene regulatory programs and detecting genetic variations in cancer cells.

bioRxiv · Apr 18, 2024 · PreprintGenomics

Implications of TP53 Allelic State for Genome Stability, Clinical Presentation and Outcomes in Myelodysplastic Syndromes

Elsa Bernard, Yasuhito Nannya, Robert Paul Hasserjian, Sean M. Devlin, Heinz Tuechler, Juan Santiago Medina-Martinez, Tetsuichi Yoshizato, Yusuke Shiozawa, Ryunosuke Saiki, Luca Malcovati, Max Fine Levine, Juan E. Arango, Yangyu Zhou, Francesc Gessé Solé, Catherine A. Cargo, , Elli Papaemmanuil

The paper examines TP53 allelic states in MDS patients, finding that bi-allelic targeting is linked to worse outcomes, while mono-allelic targeting does not differ from wild-type patients.

Nature Medicine · Aug 3, 2020Peer-reviewedGenomics