Author

Belén Carbonetto

Institut de Biologia EvolutivaORCID 0000-0002-2784-5324Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Evolutionary Biology· 2 Systems Biology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:gene regulatory network inference· 2 Organism:multiple species· 2 Assay:proteomics· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:chromatin & epigenetic regulation· 1

Frequent Co-Authors

Gemma I. Martinez RedondoiD· 2 shared Rosa FernándeziD· 2 shared Ana Maria RojasiD· 1 shared Aureliano BombarelyiD· 1 shared Aurélie BalvayiD· 1 shared Axel ImhofiD· 1 shared Carlos Vargas-CháveziD· 1 shared Christian Moritz HeyeriD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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2 shared papersEvolutionary Biology

Gemma I. Martinez RedondoORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

Systems BiologybioRxivPreprintSep 10, 2026

Multi-omic dissection of reversible and persistent molecular alterations in diet-induced obesity

Jordi Rofes, Joan Miró, Pau Gama-Pérez…·Óscar Yanes

This study identifies reversible and persistent molecular changes in diet-induced obesity using multi-omic analysis, showing that microbial functional profiles drive persistent alterations.

DOI 10.64898/2026.09.08.749914

mousebulk RNA-seq

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Evolutionary BiologyNature CommunicationsPeer-reviewedJul 18, 2026

Convergent genomic trajectories shape adaptation to life on land across animal lineages

Gemma I. Martinez Redondo, Klara Eleftheriadi, Judit Salces-Ortiz…·Rosa Fernández

The paper investigates genomic mechanisms underlying independent transitions to terrestrial life across species, finding lineage-specific gene changes that converge functionally.

DOI 10.1038/s41467-026-75551-2

multiple speciesproteomics

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Evolutionary BiologyCommunications BiologyPeer-reviewedAug 14, 2025

Leveraging Natural Language Processing models to decode the dark proteome across the Animal Tree of Life

Gemma I. Martínez‐Redondo, Francisco M Pérez-Canales, Belén Carbonetto…·Rosa Fernández

This paper introduces FANTASIA, a tool using protein language models to annotate functions for thousands of animal proteomes, uncovering previously unknown functions across species.

34 citationstop 2%

multiple speciesproteomics

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