M. Ratto
6 Papers
M. Ratto is an academic researcher. The author has contributed to research in topics: Gene & Deep learning. The author has an hindex of 1, co-authored 1 publications.
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Papers
CREDO: a friendly Customizable, REproducible, DOcker file generator for bioinformatics applications
Simone Alessandri,M. Ratto,Sergio Rabellino,Gabriele Piacenti,S. G. Contaldo,Simone Pernice,Marco Beccuti,Raffaele Calogero,Luca Alessandrì +8 more
TL;DR: CREDO, a customizable Docker file generator, addresses reproducibility issues in bioinformatics by creating modular Docker images with embedded tools, simplifying the process and promoting open science practices through user-friendly GUI and Github-compatible format.
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Identifying Gene Markers Associated with Cell Subpopulations.
M. Ratto,Luca Alessandri +1 more
- 11 Dec 2022
TL;DR: The use of sparsely connected autoencoder, as a tool to convert single-cell clusters in pseudo-RNAseq experiments to be used as input for differential expression analysis, and the use of COMET, as the tool to depict cluster-specific gene markers are described.
Single cell transcriptional perturbome in pluripotent stem cell models.
Elisa Balmas,M. Ratto,Kirsten E. Snijders,Silvia Becca,Carla Liaci,Irene Ricca,Giorgio R Merlo,R. Calogero,Luca Alessandrì,Sasha Mendjan,Alessandro Bertero +10 more
Abstract: Functional genomics screens in human induced pluripotent stem cells (hiPSCs) remain challenging despite their transformative potential. We developed iPS2-seq: an inducible, clone-aware screening platform that enables phenotype-agnostic, single-cell resolved dissection of loss-of-function effects in hiPSC derivatives, including complex multicellular models such as organoids. iPS2-seq distinguishes true perturbation effects from genetic and epigenetic variability. It supports pooled and arrayed formats, integrates with microfluidic or split-pool single-cell RNA sequencing, and extends to multi-omic profiling of chromatin and proteins. A dedicated pipeline, catcheR, streamlines design and analysis. The platform enables stage-specific follow-up dissection of screen hits. We demonstrate this by targeting congenital heart disease-associated genes in monolayer cardiomyocytes and organoids. This reveals that epigenetic neuroectodermal priming interferes with germ layer differentiation in specific clones. Accounting for this bias, we show that SMAD2 controls cardiac progenitor specification, with knockdown redirecting cells toward fibroblast and epicardial fates. iPS2-seq unlocks rigorous functional genomics in hiPSC-based models. iPS2-seq is an inducible, clone-aware platform for single-cell loss-of-function screening in human pluripotent stem cells, enabling integrated transcriptomic, epigenetic, and proteomic dissection of gene function across differentiation stages. Multi-omic profiling reveals and corrects ZIC1⁺ clonal differentiation bias. Pooled screening maps gene functions during cardiac development in 2D and 3D models. Arrayed studies identify the role of SMAD2 in cardiac–epicardial development. Stage-specific validation pinpoints SMAD2 function in cardiac progenitor specification. Multi-omic profiling reveals and corrects ZIC1⁺ clonal differentiation bias. Pooled screening maps gene functions during cardiac development in 2D and 3D models. Arrayed studies identify the role of SMAD2 in cardiac–epicardial development. Stage-specific validation pinpoints SMAD2 function in cardiac progenitor specification. iPS2-seq is an inducible, clone-aware platform for single-cell loss-of-function screening in human pluripotent stem cells, enabling integrated transcriptomic, epigenetic, and proteomic dissection of gene function across differentiation stages.
Ship control system wide integration and the use of dynamic simulation techniques in the Fremm project
S. Michetti,M. Ratto,A. Spadoni,Massimo Figari,Marco Altosole,G. Marcilli +5 more
- 10 Dec 2010
TL;DR: For the Italian Navy Multi Mission Frigates (Fremm) program, actually in progress (first ship will be delivered by Fincantieri in 2012), will be installed an advanced Ship Management System (SMS), evolution of the “Cavour” ship automation system, supplied by SEASTEMA as mentioned in this paper.
A single cell RNAseq benchmark experiment embedding “controlled” cancer heterogeneity
Maddalena Arigoni,M. Ratto,Federica Riccardo,Elisa Balmas,Lorenzo Calogero,Francesca Cordero,Marco Beccuti,Raffaele Calogero,Luca Alessandri +8 more
TL;DR: This dataset provides a comprehensive framework for the development and validation of methodologies for analysing cancer heterogeneity by means of scRNA-seq, providing a controlled heterogeneous environment using lung cancer cell lines characterised by the expression of seven different driver genes leading to partially overlapping functional pathways.