Author

Lina Gomez-Cano

Michigan State UniversityORCID 0000-0002-9963-2942Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Assay:bulk RNA-seq· 2 Research Focus:gene regulatory network inference· 2 Organism:plant (other)· 2 Approach:statistical model· 2 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Assay:metabolomics· 1

Frequent Co-Authors

Erich GrotewoldiD· 2 shared Erika L. EllisoniD· 2 shared Nathan M. SpringeriD· 2 shared Peng ZhouiD· 2 shared Yi‐Hsuan ChuiD· 2 shared Ankita AbnaveiD· 1 shared Arjun KrishnaniD· 1 shared Candice N. HirschiD· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersPlant Biology

Erich GrotewoldORCID

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2 papers

Recent·Most cited

Transcriptome profiling of maize transcription factor mutants to probe gene regulatory network predictions

Erika L. Ellison, Peng Zhou, Yi‐Hsuan Chu, Peter J. Hermanson, Lina Gomez-Cano, Zachary A Myers, Ankita Abnave, John C. Gray, Candice N. Hirsch, Erich Grotewold, Nathan M. Springer

The paper tests gene regulatory network predictions in maize by analyzing transcriptomic and metabolic changes in TF mutants, finding limited phenotypic impacts but some altered target gene expression.

G3 Genes Genomes Genetics · Nov 20, 2024Peer-reviewedPlant Biology

Prioritizing Maize Metabolic Gene Regulators through Multi-Omic Network Integration

Fabio Gómez-Cano, Jonas Rodriguez, Peng Zhou, Yi‐Hsuan Chu, Erika L. Ellison, Lina Gomez-Cano, Arjun Krishnan, Nathan M. Springer, Natalia de León, Erich Grotewold

This paper develops a framework to prioritize maize metabolic gene regulators by integrating multi-omic data, identifying over 3,000 TFs and predicting new regulators of hormone, developmental, and metabolic processes.

bioRxiv · Feb 26, 2024 · PreprintPlant Biology