Author

Iris Karina Madera-Salcedo

Instituto Nacional de Ciencias Médicas y Nutrición Salvador ZubiránORCID 0000-0002-0741-9248Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cancer Biology· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell type annotation· 1 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:development & morphogenesis· 1 Research Focus:differential expression· 1 Approach:genetic perturbation / CRISPR· 1 Organism:human· 1

Frequent Co-Authors

Florencia Rosetti· 2 shared José Carlos CrispíniD· 2 shared Andres CabezasiD· 1 shared Araceli Pérez-LópeziD· 1 shared Aurora Candelario‐Martínez· 1 shared Cleofas Marcial-MedinaiD· 1 shared Diana Berenice Ríos-Ramírez· 1 shared Diego Delgado-ZaldívariD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersImmunology

Florencia Rosetti

Mutual co-authors in cluster

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2 papers

Recent·Most cited

TIF1γ regulates stability of T regulatory cells during inflammation

Eugenio Contreras-Castillo, Jesús Daniel Zambrano-Romero, Hober Nelson Núñez-Martínez, Cleofas Marcial-Medina, Javier Orozco-Cordoba, Diana Berenice Ríos-Ramírez, Ofelia Muñoz-Paleta, Diego Pérez-Vázquez, Andres Cabezas, María Guadalupe García-Patiño, Jose Luis Ramos-Balderas, Gustavo Tapia-Urzúa, Luis Tenorio-Hernández, Georgina Guerrero, Nallely Cano-Domínguez, , Paula Licona-Limón

This study shows that TIF1γ maintains T regulatory cell stability and suppressor function during inflammation by regulating Foxp3 expression and the beta-catenin pathway.

Nature Immunology · Aug 11, 2026Peer-reviewedImmunology

A novel risk score model based on seven protein-coding genes and three pseudogenes predicts overall survival in acute myeloid leukemia

Marco Antonio Fonseca-Montaño, Juan Luis Ontiveros-Austria, J. Alejandro Madrigal, Roberta Demichelis‐Gómez, Laura Gómez-Romero, Iris Karina Madera-Salcedo, Florencia Rosetti, José Carlos Crispín

This study develops a risk score model using seven protein-coding genes and three pseudogenes to predict overall survival in acute myeloid leukemia, showing significant survival differences between risk groups.

bioRxiv · Jun 15, 2026 · PreprintCancer Biology