Reviews in Cell Death Research: Volume II

This is a volume II of the previously launched Collection: Reviews in Cell Death Research

This Research topic explores the diverse landscape of cell death mechanisms, emphasizing both regulated (non-apoptotic) and apoptotic pathways. We aim to provide an in-depth analysis of how these processes impact development, physiology, and disease, highlighting recent advances and future research directions. We especially welcome perspectives on how artificial intelligence (AI), machine learning, and computational modeling are transforming the study and understanding of cell death.

Areas Covered:

Dynamics of Regulated Cell Death: Mechanistic insights into cell death types like necroptosis, ferroptosis, parthanatos, pyroptosis, and autophagic cell death during differentiation and development.

Mitochondrial and Cellular Stress Responses: Central roles of mitochondria and cellular homeostatic processes, including cell cycle regulation, ER quality control, and autophagy, in modulating cell death/survival.

Pathway Crosstalk and Immune Responses: Interactions between apoptosis and necrosis, and the role of regulated necrosis in the anti-cancer immune response or non-apoptotic contributions to neurodegeneration through neuron-glia communication and inflammation.

Model Systems and Evolutionary Perspectives: Use of non-mammalian models to understand cell death evolution and lineage-specific regulation or novel tools for observing non-apoptotic deaths.

Therapeutic Applications and Innovations: Identification of new regulators and bioactive molecules targeting apoptosis or other cell death pathways in diseases like cancer and neurodegeneration or emerging strategies for leveraging omics data to devise targeted interventions.

We are also particularly interested in review articles discussing the integration of AI-based approaches, such as deep learning and predictive modeling, in exploring cell death mechanisms, analyzing omics data, and accelerating drug discovery in this field.

This collection seeks full-length, mini, or systematic reviews that provide a holistic view of cell death pathways, enriching our understanding of their roles in health and disease, and guiding future therapeutic innovations. Contributions that critically evaluate the current and potential uses of AI and related technologies in cell death research are highly encouraged.

Article types and fees

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Clinical Trial
• Data Report
• Editorial
• FAIR² Data
• General Commentary
• Hypothesis and Theory
• Methods
• Mini Review
• ... View all formats

Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.

Article types

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Clinical Trial
• Data Report
• Editorial
• FAIR² Data
• General Commentary
• Hypothesis and Theory
• Methods
• Mini Review
• Opinion
• Original Research
• Perspective
• Policy and Practice Reviews
• Registered Report
• Review
• Study Protocol
• Systematic Review
• Technology and Code

Keywords: review, cell death, apoptosis, AI, Regulated cell death, Necroptosis, Ferroptosis, Pyroptosis, Autophagy, Mitochondrial stress response, Cell death and cancer, Neurodegeneration, AI in drug discovery, Machine learning in biology, Omics data analysis

Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.