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Yang Y, Pan Z, Sun J, Welch J, Klionsky DJ. Autophagy and machine learning: Unanswered questions. Biochim Biophys Acta Mol Basis Dis 2024; 1870:167263. [PMID: 38801963 DOI: 10.1016/j.bbadis.2024.167263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Revised: 04/27/2024] [Accepted: 05/21/2024] [Indexed: 05/29/2024]
Abstract
Autophagy is a critical conserved cellular process in maintaining cellular homeostasis by clearing and recycling damaged organelles and intracellular components in lysosomes and vacuoles. Autophagy plays a vital role in cell survival, bioenergetic homeostasis, organism development, and cell death regulation. Malfunctions in autophagy are associated with various human diseases and health disorders, such as cancers and neurodegenerative diseases. Significant effort has been devoted to autophagy-related research in the context of genes, proteins, diagnosis, etc. In recent years, there has been a surge of studies utilizing state of the art machine learning (ML) tools to analyze and understand the roles of autophagy in various biological processes. We taxonomize ML techniques that are applicable in an autophagy context, comprehensively review existing efforts being taken in this direction, and outline principles to consider in a biomedical context. In recognition of recent groundbreaking advances in the deep-learning community, we discuss new opportunities in interdisciplinary collaborations and seek to engage autophagy and computer science researchers to promote autophagy research with joint efforts.
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Affiliation(s)
- Ying Yang
- Department of Molecular, Cellular, and Developmental Biology, University of Michigan, Ann Arbor, MI 48109, USA; Life Sciences Institute, University of Michigan, Ann Arbor, MI 48109, USA; Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109, USA; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Zhaoying Pan
- Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109, USA
| | - Jianhui Sun
- Department of Computer Science, University of Virginia, Charlottesville, VA 22903, USA
| | - Joshua Welch
- Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109, USA; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Daniel J Klionsky
- Department of Molecular, Cellular, and Developmental Biology, University of Michigan, Ann Arbor, MI 48109, USA; Life Sciences Institute, University of Michigan, Ann Arbor, MI 48109, USA.
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Abou Khouzam R, Sharda M, Rao SP, Kyerewah-Kersi SM, Zeinelabdin NA, Mahmood AS, Nawafleh H, Khan MS, Venkatesh GH, Chouaib S. Chronic hypoxia is associated with transcriptomic reprogramming and increased genomic instability in cancer cells. Front Cell Dev Biol 2023; 11:1095419. [PMID: 36968212 PMCID: PMC10033758 DOI: 10.3389/fcell.2023.1095419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Accepted: 02/23/2023] [Indexed: 03/29/2023] Open
Abstract
Hypoxia afflicts the microenvironment of solid tumors fueling malignancy. We investigated the impact of long hypoxia exposure on transcriptional remodeling, tumor mutational burden (TMB), and genomic instability of cancer cells that were grouped based on their inherent sensitivity or resistance to hypoxia. A hypoxia score was used as a metric to distinguish between the most hypoxia-sensitive (hypoxia high (HH)), and most resistant (hypoxia low (HL)) cancer cells. By applying whole exome sequencing and microarray analysis, we showed that the HH group was indeed more sensitive to hypoxia, having significantly higher TMB (p = 0.03) and copy number losses (p = 0.03), as well as a trend of higher transcriptional response. Globally cells adapted by decreasing expression of genes involved in metabolism, proliferation, and protein maturation, and increasing alternative splicing. They accumulated mutations, especially frameshift insertions, and harbored increased copy number alterations, indicating increased genomic instability. Cells showing highest TMB simultaneously experienced a significant downregulation of DNA replication and repair and chromosomal maintenance pathways. A sixteen-gene common response to chronic hypoxia was put forth, including genes regulating angiogenesis and proliferation. Our findings show that chronic hypoxia enables survival of tumor cells by metabolic reprogramming, modulating proliferation, and increasing genomic instability. They additionally highlight key adaptive pathways that can potentially be targeted to prevent cancer cells residing in chronically hypoxic tumor areas from thriving.
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Affiliation(s)
- Raefa Abou Khouzam
- Thumbay Research Institute for Precision Medicine, Gulf Medical University, Ajman, United Arab Emirates
| | - Mohak Sharda
- National Centre for Biological Sciences, Tata Institute of Fundamental Research, Bangalore, Karnataka, India
- School of Life Science, The University of Trans-Disciplinary Health Sciences & Technology (TDU), Bangalore, India
| | - Shyama Prasad Rao
- Center for Bioinformatics, NITTE deemed to be University, Mangaluru, India
| | | | - Nagwa Ahmed Zeinelabdin
- Thumbay Research Institute for Precision Medicine, Gulf Medical University, Ajman, United Arab Emirates
| | - Ayda Shah Mahmood
- Thumbay Research Institute for Precision Medicine, Gulf Medical University, Ajman, United Arab Emirates
| | - Husam Nawafleh
- Thumbay Research Institute for Precision Medicine, Gulf Medical University, Ajman, United Arab Emirates
| | - Munazza Samar Khan
- Thumbay Research Institute for Precision Medicine, Gulf Medical University, Ajman, United Arab Emirates
| | - Goutham Hassan Venkatesh
- Thumbay Research Institute for Precision Medicine, Gulf Medical University, Ajman, United Arab Emirates
| | - Salem Chouaib
- Thumbay Research Institute for Precision Medicine, Gulf Medical University, Ajman, United Arab Emirates
- INSERM UMR 1186, Integrative Tumor Immunology and Cancer Immunotherapy, Gustave Roussy, EPHE, Faculty De médecine University Paris-Sud, University Paris-Saclay, Villejuif, France
- *Correspondence: Salem Chouaib, ,
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The Metastatic Process through the Eyes of Epigenetic Regulation: A Promising Horizon for Cancer Therapy. Int J Mol Sci 2022; 23:ijms232415446. [PMID: 36555088 PMCID: PMC9778637 DOI: 10.3390/ijms232415446] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Accepted: 11/28/2022] [Indexed: 12/12/2022] Open
Abstract
Genetic aberrations, including chromosomal rearrangements, loss or amplification of DNA, and point mutations, are major elements of cancer development [...].
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