Next-Generation Proteogenomics
A special issue of Genes (ISSN 2073-4425). This special issue belongs to the section "Bioinformatics".
Deadline for manuscript submissions: 15 September 2026 | Viewed by 200
Editor
2. Division of Oncological Sciences, OHSU, Portland, OR, USA
Interests: proteogenomics; post-translational modifications; mass spectrometry; HPLC; oncology; cancer signaling; protein biochemistry; systems biology
Special Issue Information
Dear Colleagues,
The landscape of modern genetics is increasingly defined by the functional insights provided by mass spectrometry (MS). As the field transitions into an era of high-throughput analysis, the challenge lies in translating vast MS datasets into a deeper understanding of the genome. This Special Issue, "Next-Generation Proteogenomics", serves as a multidisciplinary forum for breakthroughs in the computational and methodological integration of proteomics with genomic and transcriptomic data.
We welcome contributions that advance our understanding of proteogenomics, gene regulation, and protein expression. We specifically encourage submissions exploring the relationship between gene sequences and their functional products. A central focus of this issue is the application of Artificial Intelligence (AI) and Large Language Models (LLMs) to decipher complex genetic codes and molecular signaling. We further invite studies on functional genomics, precision medicine, and single-cell or spatial workflows that elucidate how gene expression is regulated across complex tissues. This issue aims to showcase how computational innovation in MS is essential for a holistic understanding of the genotype–phenotype relationship, providing deep insights into the molecular architecture of life.
Dr. Indranil Paul
Guest Editor
Manuscript Submission Information
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Keywords
- proteogenomics
- mass spectrometry
- machine learning
- AI and LLMs
- data integration
- single-cell proteomics
- spatial proteomics
- genotype-phenotype mapping
- precision medicine
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