Author

B. G. Barwick

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:drug response / drug discovery· 3 Organism:human· 3 Assay:bulk RNA-seq· 2 Approach:deep learning· 2 Assay:proteomics· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Assay:ChIP-seq· 1

Frequent Co-Authors

L. H. Boise· 3 shared A. Sobh· 2 shared D. Dupere-Richer· 2 shared J. D. Licht· 2 shared Y.-H. T. Lin· 2 shared A. Barpanda· 1 shared A. Izgutdina· 1 shared A. Kang· 1 shared

Activity by Year

2019-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 34 mutual co-author links

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3 shared papersCancer Biology

L. H. Boise

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Author profile →

3 papers

Recent·Most cited

Targeting high-risk multiple myeloma genotypes with optimized anti-CD70 CAR-T cells

C. Kasap, A. Izgutdina, B. Patino-Escobar, A. Kang, N. Chilakapati, N. Akagi, H. Johnson, T. Rashid, J. Werner, A. Barpanda, H. Geng, Y.-H. T. Lin, S. Rampersaud, D. Gil-Alos, A. Sobh, , A. Wiita

Structure-optimized CD27-based CAR-T cells targeting CD70 show >80-fold improved expansion in vivo and offer a potential therapy for high-risk multiple myeloma patients.

bioRxiv · Feb 24, 2024Cancer Biology

KDM6A Regulates Immune Response Genes in Multiple Myeloma

D. Dupere-Richer, A. Riva, S. Maji, B. G. Barwick, H. Casella, A. Sobh, G. Quickstad, J. Li, u. de, C. Piper, M. Kulis, T. Ezponda, I. Martin-Subero, G. Tonon, W. Zhang, , J. D. Licht

This study shows KDM6A regulates immune response genes in multiple myeloma by activating NLRC5 and CIITA, and its loss reduces MHC expression, which can be reversed by HDAC3 inhibitors.

bioRxiv · Feb 12, 2024Cancer Biology

Integrated Phosphoproteomics and Transcriptional Classifiers Reveal Hidden RAS Signaling Dynamics in Multiple Myeloma

Y.-H. T. Lin, G. P. Way, B. G. Barwick, M. C. Mariano, M. Marcoulis, I. D. Ferguson, C. Driessen, L. H. Boise, C. S. Greene, A. P. Wiita

The paper uses phosphoproteomics and transcriptomics to analyze RAS signaling in multiple myeloma, identifying distinct signaling patterns and clinical outcomes associated with NRAS and KRAS mutations.

bioRxiv · Feb 28, 2019Cancer Biology