Mirana Ramialison

The paper identifies a DLX2-regulated gene network that represses Notch signaling and glial fate factors to control neuronal-glial cell fate during forebrain development.

This paper benchmarks spatial transcriptomics in stem cell-derived organoids using Stereo-seq, optimizing RNA capture and introducing regional analysis methods.

This study compares S. pyogenes infection responses in airway and alveolar epithelial cells, finding that alveolar cells show higher cell death and a pro-inflammatory response without cytokine secretion, and that IFN-β treatment reduces infection.

This study demonstrates the use of prime editing to efficiently introduce heterozygous mutations in human pluripotent stem cells with high knock-in efficiency and without purification or selection steps.

This study shows that maturing human cardiac organoids enhances disease modeling and drug discovery by mimicking in vivo development and enabling therapeutic testing for DSP cardiomyopathy.

The paper investigates NKX2-5 mutations in congenital heart disease by analyzing their epigenomic, biochemical, and chromatin search functions in cardiomyocytes, revealing diverse loss and gain-of-function defects.

This study develops an iPSC-derived air-liquid interface platform to study AT2-macrophage interactions in homeostasis, infection, and repair, revealing their roles in antiviral immunity and epithelial repair.

This study shows that ACTN3 genotype affects androgen response in skeletal muscle by altering AR expression and pathways related to muscle homeostasis.

This study develops machine learning models to predict co-regulatory modules and gene regulatory networks in the heart using epigenomic data, identifying key transcription factors involved in cardiac development.

This study benchmarks spatial transcriptomics methods by comparing 6 SVG identification tools across 14 datasets, revealing discrepancies in results.

VR-Omics automates integration of multi-slice spatial transcriptomics data in 2D and 3D, revealing dysregulated metabolic networks in paediatric cardiac rhabdomyomas.

The paper uses a zebrafish model of MPS IIIA to identify synaptic activity deficiencies as a key driver of disease progression through systems-level omics analyses and a novel bioinformatic tool.

MonaGO provides an interactive web-based visualization system for gene ontology enrichment analysis, offering dynamic clustering and customizable outputs to improve interpretation of results.

The paper identifies a viral-derived cis-regulatory element, cNRE, that drives atrial-specific gene expression by combining activation and repression motifs.

This paper develops a 3D spatial transcriptomic atlas of the mouse heart and provides a web tool for analysis and visualization.

The paper identifies a conserved enhancer in the FLT1 locus that drives cardiovascular expression and modulates angiogenesis pathways in vitro and in vivo.

The paper introduces IHS, a novel algorithm that integrates network centrality measures to identify hub nodes, outperforming existing methods in validated biological networks.

The paper analyzes transcriptomes of zebrafish atoh7 mutant embryos to identify Atoh7-dependent genetic networks linked to retinal development and human eye diseases.

This study shows that metformin prevents cardiac dysfunction in a mouse model of adult congenital heart disease under metabolic stress.