Author

X. Ke

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 Microbiology· 2 Biochemistry· 1 Cell Biology· 1 Evolutionary Biology· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 6 Organism:mouse· 3 Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Assay:DNA methylation· 2 Organism:human· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1

Frequent Co-Authors

H. Wang· 3 shared W. Chen· 2 shared X. Wu· 2 shared Z. Liu· 2 shared Z. Zhang· 2 shared A. A. L. Ong· 1 shared A. Bose· 1 shared A. Kapur· 1 shared

Activity by Year

2020-2024 · peak 4/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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3 shared papersBiochemistry

H. Wang

Mutual co-authors in cluster

Author profile →

8 papers

Recent·Most cited

Epigenetic reader ZMYND11 noncanonical function restricts HNRNPA1-mediated stress granule formation and oncogenic activity

C. Lian, C. Zhang, P. Tian, Q. Tan, Y. Wei, Q. Zhang, Z. Wang, Q. Zhang, M. Zhong, L.-Q. Zhou, X. Ke, H. Zhang, Y. Zhu, Z. Li, J. Cheng, G.-H. Wei

This study identifies a noncanonical function of ZMYND11 as an arginine-methylated HNRNPA1 reader that suppresses stress granule formation and tumor progression.

Signal Transduction and Targeted Therapy · Sep 28, 2024Peer-reviewedCancer Biology

Recognition of RNA secondary structures with a programmable peptide nucleic acid-based platform

R. Lu, L. Deng, Y. Lian, X. Ke, L. Yang, K. Xi, A. A. L. Ong, Y. Chen, H. Zhou, Z. Meng, R. Lin, S. Fan, Y. Liu, D.-F. K. Toh, X. Zhan, , G. Chen

This paper introduces daPNAs, a programmable platform combining dbPNAs and asPNAs to target RNA junctions, demonstrating their use in inhibiting Dicer and regulating ribosomal frameshifting.

bioRxiv · May 14, 2024Biochemistry

Diversity and ecological function of urease-producing bacteria in the cultivation environment of Gracilariopsis lemaneiformis

P. Pei, H. Du, M. Aslam, H. Wang, P. Ye, T. Li, H. Liang, Z. Zhang, X. Ke, Q. Lin, W. Chen

This study isolates urease-producing bacteria from the cultivation environment of Gracilariopsis lemaneiformis and shows they enhance urea uptake and nitrogen assimilation by the macroalgae.

bioRxiv · Dec 15, 2022 · PreprintMicrobiology

MAL suppresses OSCC tumorigenesis by maintaining epithelial cell differentiation

W. Chen, X. Zhu, Z. Liu, S. Qi, X. Zou, T. Lu, X. Ke, X. Qin, X. Wang, M. Yan, Q. Xu, J. Zhang, X. Wang, Z. Zhang, W. Cao, X. Wu

This study shows MAL suppresses OSCC by maintaining epithelial differentiation, with MAL and its co-functional genes as potential biomarkers for prevention and therapy.

bioRxiv · Dec 1, 2021 · PreprintCell Biology

Azacytidine targeting SARS-CoV-2 viral RNA as a potential treatment for COVID-19

X. Lin, X. Ke, X. Lin, T. Zhang, H. Xiong, B. Zhao, W. Liu, Q. Chen, C. Tang

This study shows azacytidine limits SARS-CoV-2 infection and protects mice by disrupting viral RNA methylation.

bioRxiv · Sep 1, 2021Microbiology

Nuclear and plastid phylogenomic analyses provide insights into the reticulate evolution, species delimitation and biogeography of the Sino-Japanese disjunctive Diabelia (Caprifoliaceae)

X. Ke, D. F. Morales-Briones, H. Wang, Q. Sun, L. B. Jacob, J. Wen, H. Wang

This study uses nuclear and plastid sequences to reconstruct the phylogeny of Diabelia, revealing hybridization, divergence times, and biogeographic patterns in the Sino-Japanese region.

bioRxiv · May 31, 2021Evolutionary Biology

FGF21 Normalizes Plasma Glucose in Mouse Models of Type 1 Diabetes and Insulin Receptor Dysfunction

J. L. Diener, S. Mowbray, D. Yowe, J. Xu, S. Caplan, A. Misra, A. Kapur, W.-J. Huang, J. Shapiro, X. Ke, X. Wu, A. Bose, D. Panza, M. Chen, V. Beaulieu, J. Gao

This study shows that FGF21-PEG normalizes plasma glucose in two mouse diabetes models, even when insulin receptor function is impaired.

bioRxiv · Jan 4, 2021Pharmacology & Toxicology

"3G" Trial: An RNA Editing Signature for Guiding Gastric Cancer Chemotherapy

O. An, Y. Song, X. Ke, J. B.-Y. So, R. Sundar, H. Yang, S. Y. Rha, L. M. Hui, T. S. Ting, O. X. Wen, A. T. L. Keng, M. C. H. Ng, E. Tantoso, L. Chen, P. Tan, , Singapore Gastric Cancer Consortium (SGCC)

The paper develops an RNA editing signature (GCRE) to predict chemotherapy response in gastric cancer, achieving 84% accuracy and showing better outcomes in patients with higher editing levels.

bioRxiv · Jun 22, 2020Cancer Biology