Author

C. Reglero

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 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Assay:protein structure· 1

Frequent Co-Authors

A. A. Ferrando· 1 shared A. Castro· 1 shared A. Ferrando· 1 shared A. Thomas-Tikhonenko· 1 shared C. D. Falkenstein· 1 shared C. Radens· 1 shared F. Forouhar· 1 shared H. Khiabanian· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperCancer Biology

A. A. Ferrando

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Author profile →

2 papers

Recent·Most cited

An Alternatively Spliced Gain-of-Function NT5C2 Isoform Contributes to Chemoresistance in Acute Lymphoblastic Leukemia

M. T. Diz, C. Reglero, C. D. Falkenstein, A. Castro, K. E. Hayer, C. Radens, M. Quesnel-Vallieres, Z. Ang, P. Sehgal, M. M. Li, Y. Barash, S. K. Tasian, A. Ferrando, A. Thomas-Tikhonenko

The paper identifies an alternatively spliced NT5C2 isoform contributing to chemoresistance in B-ALL by enhancing nucleosidase activity and 6-MP resistance.

bioRxiv · Sep 14, 2023Cancer Biology

Computational structure prediction methods enable the systematic identification of oncogenic mutations

X. Fu, C. Reglero, V. Swamy, J. W. Loh, H. Khiabanian, R. Albero, F. Forouhar, M. Al Quraishi, A. A. Ferrando, R. Rabadan

This paper introduces a computational method to identify oncogenic mutations by integrating evolutionary information and protein structure prediction, demonstrating its effectiveness in pediatric leukemias.

bioRxiv · Nov 18, 2022 · PreprintCancer Biology