MitoCommun: a database for decoding mitochondrial communication networks

Mitochondria are highly dynamic signaling organelles that engage in continuous bidirectional communication with the cytoplasm and participate in biological processes such as cell death, inflammation, and epigenetic modification. Mitochondria receive, process and export various types of signals, ranging from metabolites to non-coding RNAs. Despite their central importance, progress in understanding mitochondrial signaling has been hampered by the fragmented characterization of their communication networks. In this study, we present MitoCommun, a manually curated database comprising 580 mitochondria-derived signaling events from five model species: Homo sapiens, Mus musculus, Rattus norvegicus, Saccharomyces cerevisiae, and Caenorhabditis elegans. Specifically, MitoCommun features 233 well-annotated mitochondrial signaling molecules, defined by either mitochondrial origin or specific organelle localization. These molecular entities have been systematically paired with their receptors and functionally mapped into explicit pathways and interaction networks. Furthermore, we have reconstructed signaling networks across phylogenetically divergent species, functionally distinct biological processes, and inter-organelle communication systems, yielding comprehensive topological maps of mitochondrial signaling cascades. By integrating these resources, MitoCommun establishes a foundational framework for decoding mitochondrial communication and serves as a versatile, user-friendly platform for exploring organelle signaling networks, which is freely accessible at http://mitocommun.qscn.online/. ● Comprehensive data were curated for different mitochondrial communications. ● A user-friendly database was developed for browsing and searching the results. ● Multiple signals and pathways were collected, combining detailed cell stresses. ● Mitochondrial signaling networks were integrated across organisms, organelles and functions.

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Publication Details

Journal
BMC Genomics
Published
2026-01-16
DOI
https://doi.org/10.1186/s12864-026-12549-6
Primary Topic
Mitochondrial Function and Pathology
Type
article
Field-Weighted Citation Impact
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article

MitoCommun: a database for decoding mitochondrial communication networks

Jitong Feng, Shengbo Wu, Danlei Chen, Xueying Bu et al.
BMC Genomics
Mitochondrial Function and Pathology
article

MitoCommun: a database for decoding mitochondrial communication networks

Jitong Feng, Shengbo Wu, Danlei Chen, Xueying Bu, Xueyan Wu
article en

Abstract

Mitochondria are highly dynamic signaling organelles that engage in continuous bidirectional communication with the cytoplasm and participate in biological processes such as cell death, inflammation, and epigenetic modification. Mitochondria receive, process and export various types of signals, ranging from metabolites to non-coding RNAs. Despite their central importance, progress in understanding mitochondrial signaling has been hampered by the fragmented characterization of their communication networks. In this study, we present MitoCommun, a manually curated database comprising 580 mitochondria-derived signaling events from five model species: Homo sapiens, Mus musculus, Rattus norvegicus, Saccharomyces cerevisiae, and Caenorhabditis elegans. Specifically, MitoCommun features 233 well-annotated mitochondrial signaling molecules, defined by either mitochondrial origin or specific organelle localization. These molecular entities have been systematically paired with their receptors and functionally mapped into explicit pathways and interaction networks. Furthermore, we have reconstructed signaling networks across phylogenetically divergent species, functionally distinct biological processes, and inter-organelle communication systems, yielding comprehensive topological maps of mitochondrial signaling cascades. By integrating these resources, MitoCommun establishes a foundational framework for decoding mitochondrial communication and serves as a versatile, user-friendly platform for exploring organelle signaling networks, which is freely accessible at http://mitocommun.qscn.online/. ● Comprehensive data were curated for different mitochondrial communications. ● A user-friendly database was developed for browsing and searching the results. ● Multiple signals and pathways were collected, combining detailed cell stresses. ● Mitochondrial signaling networks were integrated across organisms, organelles and functions.

BMC GenomicsVol. 27(1)
Ministry of Education of the People's Republic of China (CN), Tianjin University (CN), Shaoxing University (CN)
Openalex Percentile: Top 86%
Mitochondrial Function and Pathology
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