Selected Papers from the International Conference on Intelligent Biology and Medicine (ICIBM 2025)

A special issue of Genes (ISSN 2073-4425).

Deadline for manuscript submissions: closed (1 May 2026) | Viewed by 933

Special Issue Editors


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Guest Editor
Center of Biostatistics and Bioinformatics, Ohio State University, Columbus, OH 43210, USA
Interests: genomic-based biological questions by utilizing high-throughput genomic data

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Guest Editor
Department of Biomedical Informatics, The Ohio State University, Columbus, OH, USA
Interests: molecular and cellular biology combined with expertise in bioinformatics and computational biology; cell proliferation and programmed cell death, on a molecular level, identifying mechanisms and signaling pathways shaping cellular responses to environmental stimuli

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Guest Editor
Department of Computer and Information Sciences, College of Science and Technology, Temple University, Philadelphia, PA, USA
Interests: computational Biology; bioinformatics; machine learning

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Guest Editor
Department of Bioinformatics and Systems Medicine, University of Texas Health Science Center at Houston, Houston, TX, USA
Interests: bioinformatics; systems biology; translational medicine; next generation sequencing in precision medicine; single-cell omics; spatial transcriptomics; translational Bioinformatics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are pleased to announce a Special Issue of the journal Genes (MDPI) dedicated to selected high-quality papers presented at the International Conference on Intelligent Biology and Medicine (ICIBM 2025), held 3–5 August 2025.

This Special Issue aims to showcase cutting-edge research at the intersection of genomics, bioinformatics, computational biology, and intelligent systems, reflecting the diverse and innovative contributions from ICIBM 2025.

Topics of Interest

We invite submissions of original research articles, reviews, and perspectives in areas including but not limited to:

  • Functional and integrative genomics;
  • Next-generation sequencing data analysis;
  • Single-cell and spatial transcriptomics;
  • Epigenomics and gene regulation;
  • Systems biology and network analysis;
  • AI and machine learning in genomics;
  • Precision medicine and translational bioinformatics;
  • Microbiome and metagenomics;
  • Computational tools and pipelines for genomic data.

Prof. Dr. Yan Guo
Dr. Lianbo Yu
Dr. Maciej Pietrzak
Dr. Xinghua (Mindy) Shi
Prof. Dr. Zhongming Zhao
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Genes is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • functional and integrative genomics
  • next-generation sequencing
  • single-cell and spatial transcriptomics
  • epigenomics
  • systems biology
  • AI and machine learning in genomics
  • precision medicine
  • translational bioinformatics
  • metagenomics
  • computational tools for genomic data

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Published Papers (1 paper)

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Research

26 pages, 81486 KB  
Article
Landscape of Gene Essentiality in Cancer Cell Death Pathways
by Shangjia Li, Zhimo Zhu, Chen Yang, Nuo Sun, Lijun Cheng and Lang Li
Genes 2026, 17(4), 491; https://doi.org/10.3390/genes17040491 - 21 Apr 2026
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Abstract
Background/Objectives: Regulated cell death (RCD), a process that relies on a series of molecular mechanisms, can be targeted to eliminate superfluous, irreversibly damaged, and potentially harmful cells. In this research, we want to better understand how the cell death pathway contributes to cancer [...] Read more.
Background/Objectives: Regulated cell death (RCD), a process that relies on a series of molecular mechanisms, can be targeted to eliminate superfluous, irreversibly damaged, and potentially harmful cells. In this research, we want to better understand how the cell death pathway contributes to cancer therapy. Methods: We studied 1150 cancer cells in the Dependency Map (DepMap) database for 12 distinct cell death pathways and assessed their gene essentialities. Genes which are essential in 90% or more of cancer cell lines are called always essential, or partial essential if falling into (10%, 90%), or rare essential if they are essential in less than 10% of cancer cell lines. Results: Overall, among these 12 cell death pathways, 23, 47, and 549 genes were classified as always essential, partial essential, and rare essential, respectively. In two cell death pathways, Parthanatos, and Pyroptosis, all genes were rare essential. Among the other ten cell death pathways, Apoptosis, Autosis, Necroptosis, Efferocytosis, Ferroptosis, Mitotic cell death, Autophagy, Lysosome-dependent cell death, MPT-driven necrosis and Immunogenic, there are (10, 1, 13, 6, 3, 9, 11, 1, 1, 0) partial essential genes, and (2, 0, 3, 1, 1, 13, 4, 0, 0, 1) always essential genes. Conclusions: These cell death pathway essential genes could be viable targets for therapeutic drug development for cancer therapies. Full article
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