Molecular mechanisms reconstruction from single-cell multi-omics data with HuMMuS - Archive ouverte HAL
Pré-Publication, Document De Travail Année : 2023

Molecular mechanisms reconstruction from single-cell multi-omics data with HuMMuS

Résumé

Abstract The molecular identity of a cell results from a complex interplay between heterogeneous molecular layers. Recent advances in single-cell sequencing technologies have opened the possibility to measure such molecular layers of regulation. Here, we present HuMMuS, a new method for inferring regulatory mechanisms from single-cell multi-omics data. Differently from the state-of-the-art, HuMMuS captures cooperation between biological macromolecules and can easily include additional layers of molecular regulation. We benchmarked HuMMuS with respect to the state-of-the-art on both paired and unpaired multi-omics datasets. Our results proved the improvements provided by HuMMus in terms of TF targets, TF binding motifs and regulatory regions prediction. Finally, once applied to snmC-seq, scATAC-seq and scRNA-seq data from mouse brain cortex, HuMMuS enabled to accurately cluster scRNA profiles and to identify potential driver TFs.
Fichier principal
Vignette du fichier
2023.06.09.543828v1.full.pdf (3 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04728076 , version 1 (11-10-2023)
hal-04728076 , version 2 (09-10-2024)

Licence

Identifiants

Citer

Remi Trimbour, Ina Maria Deutschmann, Laura Cantini. Molecular mechanisms reconstruction from single-cell multi-omics data with HuMMuS. 2023. ⟨hal-04728076v1⟩
12 Consultations
39 Téléchargements

Altmetric

Partager

More