Author

Christopher Mark Jones

University of LeedsORCID 0000-0002-4513-4964Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 2 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Aaron Wu· 1 shared Ana M. AparicioiD· 1 shared Anil K. SoodiD· 1 shared Antonio N. CalabreseiD· 1 shared Arndt RohwedderiD· 1 shared Ginny DevonshireiD· 1 shared Hongtu Zhu BiD· 1 shared Jaffer A. AjaniiD· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperGenomics

Aaron Wu

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Affinity purification mass spectrometry characterization of the interactome of receptor tyrosine kinase proline rich motifs in cancer

Christopher Mark Jones, Arndt Rohwedder, Kin Man Suen, Safoura Zahed Mohajerani, Antonio N. Calabrese, Sabine Knipp, Mark T. Bedford, John Edward Ladbury

The paper identifies 490 interactors of RTK PRM regions using affinity purification mass spectrometry, revealing overrepresented metabolic and migratory functions in cancer cells.

Heliyon · Jul 30, 2024Peer-reviewedCell Biology

Subclonal mutation load predicts survival and response to immunotherapy in cancers with low to moderate tumor mutation burden

Yujie Jiang, Matthew D. Montierth, Kaixian Yu, Shuangxi Ji, Quang Tran, Xiaoqian Liu, Jessica C. Lal, Shuai Guo, Aaron Wu, Yaoyi Dai, Seung Jun Shin, Ruonan Li, Shaolong Cao, Yuxin Tang, Tom Lesluyes, , Wenyi Wang

The paper develops CliPP to estimate subclonal mutation load (sML) and shows it predicts survival and immunotherapy response in cancers with low to moderate TMB.

bioRxiv · Jul 3, 2024 · PreprintGenomics