Author

Y.-H. Kuo

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· 5 Bioengineering· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 4 Research Focus:trajectory inference· 4 Assay:bulk RNA-seq· 3 Organism:mouse· 3 Research Focus:cell type annotation· 2 Approach:deep learning· 2 Organism:human· 2 Research Focus:differential expression· 1

Frequent Co-Authors

G. Marcucci· 4 shared R. C. Rockne· 4 shared S. Branciamore· 4 shared D. O'Meally· 3 shared N. Carlesso· 3 shared B. Zhang· 2 shared D. E. Frankhouser· 2 shared D. Maestrini· 2 shared

Activity by Year

2017-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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4 shared papersCancer Biology

G. Marcucci

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Author profile →

6 papers

Recent·Most cited

State-transition Modeling of Blood Transcriptome Predicts Disease Evolution and Treatment Response in Chronic Myeloid Leukemia

D. E. Frankhouser, R. C. Rockne, L. Uechi, D. Zhao, S. Branciamore, D. O'Meally, J. Irizarry, L. Ghoda, H. Ali, J. Trent, S. Forman, Y.-H. Fu, Y.-H. Kuo, B. Zhang, G. Marcucci

The paper uses transcriptome-based state-transition models to predict CML disease progression and treatment response using time-sequential blood samples from mice.

bioRxiv · Oct 11, 2023Cancer Biology

Bispecific antibody shuttles targeting CD98hc mediate efficient and long-lived brain delivery of IgGs

G. Pornnoppadol, L. G. Bond, M. J. Lucas, J. M. Zupancic, Y.-H. Kuo, B. Zhang, C. F. Greineder, P. M. Tessier

This paper develops bispecific antibody shuttles targeting CD98hc for efficient and long-lived brain delivery of IgGs, showing improved retention and specificity compared to TfR-1 shuttles.

bioRxiv · Apr 29, 2023Bioengineering

State-Transition Analysis of Time-Sequential microRNA Expression Predicts Development of Acute Myeloid Leukemia

D. E. Frankhouser, D. O'Meally, S. Branciamore, L. Uechi, H. Qin, X. Wu, N. Carlesso, G. Marcucci, Y.-H. Kuo, R. C. Rockne

This study uses time-sequential miRNA expression data from a mouse AML model to identify state transitions during leukemogenesis and shows the model predicts time to AML development.

bioRxiv · Mar 2, 2021 · PreprintCancer Biology

State-Transition Analysis of Time-Sequential Gene Expression Identifies Critical Points That Predict Leukemia Development

R. C. Rockne, S. Branciamore, J. Qi, D. Frankhouser, D. O'Meally, W.-K. Hua, G. J. Cook, L. Zhang, E. Carnahan, A. Marom, H. Wu, D. Maestrini, X. Wu, Y.-C. Yuan, Z. Liu, , G. Marcucci

The paper models leukemia transcriptome dynamics in a state-space to identify critical points that predict disease development.

bioRxiv · Jun 4, 2019 · PreprintCancer Biology

Modeling acute myeloid leukemia in a continuum of differentiation states

H. Cho, K. Ayers, L. de Pillis, Y.-H. Kuo, J. Park, A. Radunskaya, R. C. Rockne

The paper models cellular differentiation in acute myeloid leukemia using a mathematical framework based on single-cell RNA sequencing data and graph-based partial differential equations.

bioRxiv · Dec 21, 2017Cancer Biology

Aging in a relativistic biological space-time

D. Maestrini, D. Abler, V. Adhikarla, S. Armenian, S. Branciamore, N. Carlesso, G. Marcucci, Y.-H. Kuo, P. Sahoo, R. Rockne

This paper proposes a theoretical framework modeling biological aging as trajectories in a mathematical space-time, with applications to cancer and aging rates.

bioRxiv · Dec 5, 2017Cancer Biology