Author
Xiaotu Ma
St. Jude Children's Research HospitalORCID 0000-0002-6233-2145Unclaimed ORCID profile · follow to get notified of new preprints
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Biology Disciplines
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2024-2026 · peak 4/yrCo-Author Collaboration Network
10 top collaborators · 39 mutual co-author links10 papers
Recent·Most cited
Tabular foundation model predicts alternative lengthening of telomeres (ALT) and identifies SMARCAL1 as a target in ALT-driven cancers
Declan Bennett, Monika Wierdl, S Chakraborty, Jordan Johnson, Victoria Akingbehin, Daniel Estevez-Prado, Yuan Feng, Janeala J. Morsby, John Harper, Mohammad Ali Mohammad Nezhady, M Pan, Nicole Ocasio-Martinez, Jerrel Lewis Catlett, TB Nations, Neekesh V. Dharia, , Lillian M. Guenther
The paper develops ALTitude, a machine learning model to predict ALT status from whole genome sequencing data, identifies SMARCAL1 as a therapeutic target in ALT-driven cancers.
bioRxiv · May 28, 2026 · PreprintCancer Biology
Reactivation of a TAL1 progenitor cell enhancer region by non-coding somatic variants in T-lineage acute lymphoblastic leukemia
Nadezhda V. Terekhanova, Xiaolong Chen, Kin-Hoe Chow, Yu Liu, Ying Shao, Li Dong, Bensheng Ju, Vinesh Vinayachandran, Haseeb Zubair, Kohei Hagiwara, Wentao Yang, X X, Sivaraman Natarajan, John B. Easton, David T. Teachey, , Jinghui Zhang
The paper identifies non-coding somatic variants in TAL1 regulatory regions that reactivate enhancers normally active in hematopoietic stem cells in T-lineage acute lymphoblastic leukemia.
bioRxiv · May 6, 2026 · PreprintCancer Biology
The landscape of structural variation in pediatric cancer
Robert Greenhalgh, Samuel W. Brady, Wentao Yang, Diane A. Flasch, Michael N. Edmonson, Nadezhda V. Terekhanova, Yanling Liu, Jian Wang, Karol A. Szlachta, Liqing Tian, Daniel K. Putnam, Delaram Rahbarinia, Pandurang S. Kolekar, Xin Zhou, Daniela Se Gerhard, , Jinghui Zhang
This study analyzes structural variants in 1,616 pediatric cancer genomes, revealing unique SV hotspots and patterns distinct from adult cancers.
Cancer Cell · Mar 12, 2026Peer-reviewedCancer Biology
CanID: a robust and accurate RNAseq Expression-based diagnostic classification scheme for pediatric malignancies
Daniel K. Putnam, Alexander M. Gout, Delaram Rahbarinia, Meiling Jin, David Finkelstein, Xiaotu Ma, Jinghui Zhang, David A. Wheeler, Larissa V. Furtado, Xiang 'Anthony' Chen
CanID is a machine learning classifier for pediatric cancer subtypes using RNAseq data, achieving 99% accuracy for solid tumors and 92-93% for hematologic malignancies.
Genomics Proteomics & Bioinformatics · Nov 29, 2025Peer-reviewedBioinformatics
Clonal Evolution of Pediatric Acute Myeloid Leukemia and Its Contribution to Disease Relapse
Masayuki Umeda, Pandurang S. Kolekar, Anna L. W. Huskey, Shruthi Suryaprakash, Jing Ma, Hanxia Li, Tamara Westover, Michael Patrick Walsh, Guangchun Song, Yanling Liu, Quang Tran, Vidya Balagopal, Lu Wang, Samuel L. Brady, Stanley B Pounds, , Jeffery M. Klco
This study analyzes genetic changes in pediatric AML relapse using whole-genome sequencing and finds that relapse is driven by the selection of pre-existing clones rather than new mutations.
medRxiv · Nov 4, 2025 · PreprintGenetic & Genomic Medicine
Seq2Karyotype (S2K): A Method for in-silico Karyotyping Using Single-Sample Whole-Genome Sequencing Data
Limeng Pu, Karol A. Szlachta, Virginia A. Valentine, Meiling Jin, Sivaraman Natarajan, Robert Greenhalgh, Nadezhda V. Terekhanova, Jian Wang, Daniel K. Putnam, Li Dan Dong, Lingxiang Jiang, Soumya Tumbath, Xiumei Huang, Xiaotu Ma, Alfred Thomas Look, , Jinghui Zhang
Seq2Karyotype (S2K) enables in-silico karyotyping from whole-genome sequencing data, revealing intratumoral heterogeneity and evolutionary trajectories in cancer samples.
bioRxiv · Aug 25, 2025 · PreprintBioinformatics
TP53 Inactivation Confers Resistance to the Menin Inhibitor Revumenib in Acute Myeloid Leukemia
Jeevitha D’Souza, Camille J. Leung, Aishwarya C. Ballapuram, Abigail S. Lin, Alexa Rane Batingana, Adam J. Lamble, Rhonda E. Ries, Carolina E. Morales, Charisa Cottonham, Pranav Gona, Li Fan, Xiaotu Ma, Kevin Shannon, Soheil Meshinchi, Benjamin S. Braun, Benjamin J. Huang
This study shows TP53 mutations cause resistance to revumenib in AML and suggests combining MCL-1 inhibitors with menin inhibitors could be effective.
bioRxiv · Mar 24, 2025 · PreprintCancer Biology
bamSliceR: a Bioconductor package for rapid, cross-cohort variant analysis
Yizhou Peter Huang, Lauren M. Harmon, Eve Gardner, Xiaotu Ma, Josiah Harsh, Zhaoyu Xue, Hong Wen, Marcel Ramos, Sean R. Davis, Timothy J. Triche
bamSliceR enables rapid, cross-cohort variant analysis by extracting and analyzing aligned reads from GDC data, identifying clinically relevant variants in leukemia cohorts.
Bioinformatics Advances · Dec 26, 2024Peer-reviewedBioinformatics
Conditional c-MYC activation in catecholaminergic cells drives distinct neuroendocrine tumors: neuroblastoma vs somatostatinoma
Tingting Wang, Lingling Liu, Jie Fang, Hongjian Jin, Sivaraman Natarajan, Heather Sheppard, Meifen Lu, Gregory Turner, Thomas Confer, Melissa Johnson, Jeffrey Steinberg, Larry Ha, Nour Yadak, Richa Jain, David J. Picketts, , Jun Yang
This study creates two mouse models with conditional c-MYC activation in specific cell types, leading to distinct neuroendocrine tumors resembling human neuroblastoma and somatostatinoma.
bioRxiv · Mar 12, 2024 · PreprintCancer Biology