Author
M. Habibi
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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2018-2023 · peak 3/yrCo-Author Collaboration Network
10 top collaborators · 22 mutual co-author links8 papers
Recent·Most cited
Small extracellular vesicles promote stiffness-mediated metastasis
A. Sneider, Y. Liu, B. Starich, W. Du, C. Marar, N. Faqih, G. E. Ciotti, J. H. Kim, S. Krishnan, S. Ibrahim, M. Igboko, A. Locke, D. M. Lewis, H. Hong, M. Karl, , D. Wirtz
The paper shows that breast cancer cell-derived small extracellular vesicles (EVs) become more adhesive and metastatic when produced in stiff matrices, promoting cancer spread through enhanced chemotaxis and fibroblast reprogramming.
bioRxiv · Jul 1, 2023Cancer Biology
Mitochondrial Pyruvate Carrier Inhibition Attenuates Hepatic Stellate Cell Activation and Liver Injury in a Mouse Model of Metabolic Dysfunction-associated Steatotic Liver Disease
M. Habibi, D. Ferguson, S. J. Eichler, M. M. Chan, A. LaPoint, T. M. Shew, M. He, A. J. Lutkewitte, J. D. Schilling, K. Y. Cho, G. Patti, B. N. Finck
bioRxiv · Feb 13, 2023 · PreprintPhysiology
A Novel Machine Learning Method for Mutational Analysis to Identifying Driver Genes in Breast Cancer
This paper introduces a machine learning method to identify driver genes in breast cancer by analyzing mutation patterns, gene interactions, and network structures, revealing previously under-studied pathways.
bioRxiv · Nov 20, 2022 · PreprintCancer Biology
A new machine learning method for cancer mutation analysis
This paper introduces a machine learning method to analyze cancer mutations by studying network structures and identifying driver genes across different mutation frequencies.
PLOS Computational Biology · Oct 17, 2022Peer-reviewedCancer Biology
Deep Learning Identification of Stiffness Markers in Breast Cancer
A. Sneider, J. H. Kim, A. Kiemen, P.-H. Wu, M. Habibi, M. White, J. M. Phillip, L. Gu, D. Wirtz
This study uses deep learning to identify stiffness markers in breast cancer tissue, finding that straight collagen percentage best correlates with tissue stiffness.
bioRxiv · Dec 17, 2020Cancer Biology
Multi-compartment tumor organoids
M.-H. Lee, Y. S. Rahmanto, G. C. Russo, P.-h. Wu, D. Gilkes, A. Kiemen, T. Miyamoto, Y. Yu, M. Habibi, I.-M. Shih, T.-L. Wang, D. Wirtz
This paper develops a high-throughput microtechnology to create multi-compartment tumor organoids that mimic tumor microenvironments and improve drug response and tumor progression studies.
bioRxiv · Nov 3, 2020Cancer Biology
In Silico Determined Properties of Designed Superoxide Dismutase-1 Mutants Predict ALS-like Phenotypes In Vitro and In Vivo
M. G. DuVal, L. McAlary, M. Habibi, P. Garg, M. Sher, N. Cashman, W. T. Allison, S. S. Plotkin
The paper designs and tests SOD1 mutants using computational methods, showing that a destabilizing mutant causes ALS-like phenotypes while a stabilizing mutant rescues them in zebrafish.
bioRxiv · Nov 21, 2018 · PreprintBiophysics