Integrative Omics Approaches for Precision Biotech: Tools, Applications and Future Perspectives

A special issue of BioTech (ISSN 2673-6284).

Deadline for manuscript submissions: 28 February 2026 | Viewed by 553

Special Issue Editor


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Guest Editor
1. Department for the Promotion of Human Sciences and Quality of Life, San Raffaele Roma Open University, 00166 Rome, Italy
2. CEINGE-Biotecnologie Avanzate Franco Salvatore, 80145 Napoli, Italy
Interests: next generation sequencing; genomics; cancer genomics; hereditary cancers; metagenomics; human microbiome; molecular diagnostics
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Special Issue Information

Dear Colleagues,

The development and diffusion of omics technologies have revolutionized the way that we understand biological systems, offering unprecedented insights into several fields, including genomics, transcriptomics, proteomics, metabolomics, and beyond. As these different kinds of biological data become increasingly integrated, they will open new horizons for innovation in biotechnology—ranging from precision medicine and synthetic biology to sustainable agriculture and environmental biotech.

This Special Issue aims to highlight the latest advances in integrative omics approaches and their transformative impact on precision biotechnology. We welcome original research articles, reviews, and methodological papers that explore novel omics-based strategies, computational tools, and multi-omics applications designed to address real-world challenges.

Topics of interest include, but are not limited to, the following:

  • Multi-omics integration platforms and pipelines;
  • AI and machine learning in omics data analysis;
  • Omics-guided metabolic and genome engineering;
  • Applications in precision diagnostics and therapeutics;
  • Plant and microbial omics for sustainable biotech;
  • Single-cell omics and spatial transcriptomics.;
  • Challenges in omics data harmonization and standardization;
  • Future perspectives and ethical implications in precision biotech.

We encourage submissions that combine experimental and computational approaches and foster interdisciplinary collaboration.

Prof. Dr. Valeria D’Argenio
Guest Editor

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 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

  • multi-omics integration
  • precision biotechnology
  • systems biology
  • bioinformatics tools
  • translational omics

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Published Papers (1 paper)

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Review

26 pages, 2722 KB  
Review
Multi-Scale Transcriptomics Redefining the Tumor Immune Microenvironment
by Jing Sun, Yingxue Xiao, Lingling Xie, Dan Qin, Yue Zou, Yingying Liu, Yitong Zhai, Minyi Zhang, Tong Li, Youjin Hao and Bo Li
BioTech 2026, 15(1), 7; https://doi.org/10.3390/biotech15010007 - 15 Jan 2026
Viewed by 139
Abstract
The tumor immune microenvironment (TIME) is closely involved in tumor initiation, malignant progression, immune escape, and response to immunotherapy. With the continued development of high-throughput sequencing technologies, transcriptomic approaches have become essential for examining the cellular and molecular features of the TIME. Bulk [...] Read more.
The tumor immune microenvironment (TIME) is closely involved in tumor initiation, malignant progression, immune escape, and response to immunotherapy. With the continued development of high-throughput sequencing technologies, transcriptomic approaches have become essential for examining the cellular and molecular features of the TIME. Bulk RNA sequencing offers tissue-level gene expression profiles and allows the estimation of immune cell composition through computational deconvolution. Single-cell RNA sequencing provides finer resolution, revealing cellular heterogeneity, lineage relationships, and functional states. Spatial transcriptomics (ST) retains the native anatomical context, making it possible to localize gene expression patterns and cell–cell interactions within intact tissues. These approaches, when considered together, have shifted TIME research from averaged measurements toward a more detailed and mechanistic understanding. This review summarizes the principles, applications and limitations of bulk, single-cell and spatial transcriptomic methods, highlighting emerging strategies for integrative analysis. Such multi-scale frameworks are increasingly important for studying immune dynamics and may contribute to the development of more precise biotechnological and immunotherapeutic strategies. Full article
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