Author

B. J. Abraham

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 Biophysics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 4 Organism:human· 4 Assay:bulk RNA-seq· 3 Research Focus:differential expression· 3 Approach:experimental assay· 3 Research Focus:gene regulatory network inference· 3 Approach:statistical model· 2 Research Focus:cancer & tumor microenvironment· 1

Frequent Co-Authors

R. A. Young· 3 shared A. Berezovskaya· 2 shared A. D. Durbin· 2 shared A. T. Look· 2 shared M. W. Zimmerman· 2 shared S. He· 2 shared A. Font-Tello· 1 shared A. Gusev· 1 shared

Activity by Year

2019-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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3 shared papersCancer Biology

R. A. Young

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Author profile →

4 papers

Recent·Most cited

STAT3 cooperates with the core transcriptional regulatory circuitry to drive MYC expression and oncogenesis in anaplastic large cell lymphoma

N. Prutsch, S. He, A. Berezovskaya, A. D. Durbin, N. V. Dharia, K. Stegmaier, J. D. Matthews, L. Hare, S. D. Turner, L. Kenner, O. Merkel, R. A. Young, B. J. Abraham, A. T. Look, M. W. Zimmerman

This study identifies STAT3's role in driving MYC expression and oncogenesis in ALCL by cooperating with a core transcriptional regulatory circuit.

bioRxiv · Aug 31, 2022 · PreprintCancer Biology

Retinoic acid rewires the adrenergic core regulatory circuitry of neuroblastoma

M. W. Zimmerman, A. D. Durbin, S. He, F. Oppel, H. Shi, T. Tao, Z. Li, A. Berezovskaya, Y. Liu, J. Zhang, R. Young, B. J. Abraham, A. T. Look

This study shows retinoic acid reprograms enhancer landscapes in MYCN-amplified neuroblastoma cells, downregulating MYCN and inducing sympathetic differentiation.

bioRxiv · Jul 23, 2020Cancer Biology

Predicting master transcription factors from pan-cancer expression data

J. Reddy, M. A. S. Fonseca, R. I. Corona, R. Nameki, F. Segato Dezem, I. A. Klein, H. Chang, D. Chaves-Moreira, L. Afeyan, T. M. Malta, X. Lin, F. Abbasi, A. Font-Tello, T. Sabedot, P. Cejas, , K. Lawrenson

This paper introduces CaCTS, an algorithm that identifies candidate master transcription factors (MTFs) across 34 cancer types using RNA-seq data, revealing novel MTFs and functional groupings.

bioRxiv · Nov 12, 2019Cancer Biology

CDK13 Mutations Drive Melanoma via Accumulation of Prematurely Terminated Transcripts

M. L. Insco, B. J. Abraham, S. J. Dubbury, S. Dust, C. Wu, K. Y. Chen, D. Liu, C. G. Ludwig, S. Bellaousov, T. Fabo, T. Henriques, K. Adelman, M. Geyer, P. A. Sharp, R. A. Young, , L. I. Zon

This study identifies CDK13 mutations in melanoma, showing they lead to accumulation of truncated transcripts and poor survival, with a mechanism involving impaired ZC3H14 phosphorylation and PAXT complex recruitment.

bioRxiv · Nov 5, 2019Biophysics