Author

P. G. Hains

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 Biochemistry· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:proteomics· 3 Research Focus:differential expression· 2 Approach:experimental assay· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1

Frequent Co-Authors

N. Lucas· 2 shared P. J. Robinson· 2 shared Q. Zhong· 2 shared R. Reddel· 2 shared A. Anees· 1 shared A. Beyer· 1 shared A. T. Aref· 1 shared B. McIntyre· 1 shared

Activity by Year

2023-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersBiochemistry

N. Lucas

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Blocking MIF secretion enhances CAR T-cell efficacy against neuroblastoma

J. G. M. Strijker, G. Pascual-Pasto, Y. J. Kalmeijer, E. Kalaitsidou, C. Zhao, B. McIntyre, S. Matlaga, L. L. Visser, M. Barisa, C. Himsworth, R. Shah, H. Muller, L. G. Schild, P. G. Hains, Q. Zhong, , J. Wienke

This study identifies MIF as a key immunosuppressive factor in neuroblastoma that inhibits CAR T-cell efficacy, showing that blocking MIF enhances T-cell activation and therapeutic potential.

bioRxiv · Apr 5, 2024Cancer Biology

Heat n Beat: A universal high-throughput end-to-end proteomics sample processing platform in under an hour

D. Xavier, N. Lucas, S. G. Williams, J. M. S. Koh, K. Ashman, C. Loudon, R. Reddel, P. G. Hains, P. J. Robinson

The paper introduces a rapid, high-throughput proteomics sample processing protocol called Heat n Beat, achieving consistent peptide yield and quality across diverse tissue types in under an hour.

bioRxiv · Sep 27, 2023Biochemistry

Proteomic-based stratification of intermediate-risk prostate cancer patients

Q. Zhong, S. Rui, A. T. Aref, Z. Noor, A. Anees, Y. Zhu, N. Lucas, R. C. Poulos, M. Lyu, T. Zhu, B. Wang, G.-B. Chen, Y. Wang, X. Ding, D. Rutishauser, , P. J. Wild

The paper identifies an 18-protein signature from proteomic data to stratify intermediate-risk prostate cancer patients into low- and high-risk groups for biochemical recurrence.

bioRxiv · Mar 3, 2023Cancer Biology