Organ-level gene-regulatory networks inferred from transcriptomic data reveal context-specific regulation and highlight novel regulators of ripening and ABA-mediated responses in tomato
The organ-level GRNs can be extracted and visualized through the rGRN app in the TomViz module of the PlantaeViz platform (Santiago et al., 2024), available at https://plantaeviz.tomsbiolab.com/tomviz. Supplemental Tables 5, 8, and 11 provide metadata for the public RNA-seq, ATAC-seq, and DNase-seq...
| Autores: | , , , , , , , , , , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2025 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/410014 |
| Acceso en línea: | http://hdl.handle.net/10261/410014 |
| Access Level: | acceso abierto |
| Palabra clave: | Solanum lycopersicum Gene-regulatory network Transcriptional regulation Tripening Drought |
| Sumario: | The organ-level GRNs can be extracted and visualized through the rGRN app in the TomViz module of the PlantaeViz platform (Santiago et al., 2024), available at https://plantaeviz.tomsbiolab.com/tomviz. Supplemental Tables 5, 8, and 11 provide metadata for the public RNA-seq, ATAC-seq, and DNase-seq experiments, as well as the ChIP-seq libraries analyzed in this study. The DAP-seq data generated for this article are available in the NCBI SRA database under accession number SRA: PRJNA1236412. The scripts used to analyze RNA-seq, ATAC-seq, DNase-seq, ChIP-seq, and DAP-seq data, as well as the GENIE3 network generation pipeline and all GRNs, are available at https://github.com/ibioChile/VidalLab/tree/master/Pipelines/Tomato_GRNs_repository. In addition, the repository includes the ITAG4.2-merged GFF annotation, protein FASTA, and transcript FASTA files, which are also provided as Data S2. Genome annotation (ITAG4.2-merged, GFF3 format), Data S3. Protein sequences (ITAG4.2-merged, FASTA), Data S4. Transcript sequences (ITAG4.2-merged, cDNA FASTA). |
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