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Samira Makhzami
Researcher at Katholieke Universiteit Leuven
Publications - 17
Citations - 1002
Samira Makhzami is an academic researcher from Katholieke Universiteit Leuven. The author has contributed to research in topics: Gene regulatory network & Enhancer. The author has an hindex of 6, co-authored 10 publications receiving 477 citations.
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Journal ArticleDOI
A Single-Cell Transcriptome Atlas of the Aging Drosophila Brain
Kristofer Davie,Janssens J,Duygu Koldere,De Waegeneer M,Uli Pech,Łukasz Kreft,Sara Aibar,Samira Makhzami,Valerie Christiaens,Carmen Bravo González-Blas,Suresh Poovathingal,Gert Hulselmans,Katina I. Spanier,Thomas Moerman,Bram Vanspauwen,Sarah Geurs,Thierry Voet,Jeroen Lammertyn,Bernard Thienpont,Sha Liu,Nikos Konstantinides,Mark Fiers,Patrik Verstreken,Stein Aerts +23 more
TL;DR: A single-cell transcriptome atlas of the entire adult Drosophila melanogaster brain sampled across its lifespan is presented, allowing comprehensive exploration of all transcriptional states of an entire aging brain.
Journal ArticleDOI
Robust gene expression programs underlie recurrent cell states and phenotype switching in melanoma
Jasper Wouters,Zeynep Kalender-Atak,Zeynep Kalender-Atak,Liesbeth Minnoye,Katina I. Spanier,Maxime de Waegeneer,Carmen Bravo González-Blas,David Mauduit,Kristofer Davie,Gert Hulselmans,Ahmad Najem,Michael Dewaele,Dennis Pedri,Florian Rambow,Samira Makhzami,Valerie Christiaens,Frederik Ceyssens,Ghanem Elias Ghanem,Jean-Christophe Marine,Suresh Poovathingal,Stein Aerts +20 more
TL;DR: Analysis of melanoma cultures and large-scale gene expression analysis in patient samples indicate that an intermediate state exists and is driven by a distinct and stable ‘mixed’ GRN rather than being a symbiotic heterogeneous mix of cells.
Journal ArticleDOI
Cross-species analysis of enhancer logic using deep learning
Liesbeth Minnoye,Ibrahim Ihsan Taskiran,David Mauduit,Maurizio Fazio,Maurizio Fazio,Linde Van Aerschot,Gert Hulselmans,Valerie Christiaens,Samira Makhzami,Monika Seltenhammer,Monika Seltenhammer,Panagiotis Karras,Aline Primot,Edouard Cadieu,Ellen van Rooijen,Ellen van Rooijen,Jean-Christophe Marine,Giorgia Egidy,Ghanem Elias Ghanem,Leonard I. Zon,Leonard I. Zon,Jasper Wouters,Stein Aerts +22 more
TL;DR: The combination of deep learning and cross-species chromatin accessibility profiling to build explainable enhancer models is explored, and the accuracy of DeepMEL predictions on the CAGI5 challenge is shown, where it significantly outperforms existing models on the melanoma enhancer of IRF4.
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Decoding gene regulation in the fly brain
Jasper Janssens,Sara Aibar,Ibrahim Ihsan Taskiran,Joy N. Ismail,Alicia Gómez,Gabriel N. Aughey,Katina I. Spanier,Florian De Rop,Carmen Bravo González-Blas,Marc Dionne,K. Grimes,Xiao-Jiang Quan,Dafni Papasokrati,Gert Hulselmans,Samira Makhzami,Maxime de Waegeneer,Valerie Christiaens,Tony D. Southall,Stein Aerts +18 more
TL;DR: DeepFlyBrain this article extracted the chromatin accessibility of 240,919 single cells spanning 9 developmental timepoints and integrated these data with single-cell transcriptomes to identify more than 95,000 regulatory regions that are used in different neuronal cell types, of which 70,000 are linked to developmental trajectories involving neurogenesis, reprogramming and maturation.
Journal ArticleDOI
Identification of genomic enhancers through spatial integration of single-cell transcriptomics and epigenomics
Carmen Bravo González-Blas,Xiao-Jiang Quan,Ramon Duran-Romaña,Ibrahim Ihsan Taskiran,Duygu Koldere,Kristofer Davie,Valerie Christiaens,Samira Makhzami,Gert Hulselmans,Maxime de Waegeneer,David Mauduit,Suresh Poovathingal,Sara Aibar,Stein Aerts +13 more
TL;DR: This work generates independent single‐cell RNA‐seq and ATAC‐seq atlases of the Drosophila eye‐antennal disc and spatially integrate the data into a virtual latent space that mimics the organization of the 2D tissue using ScoMAP (Single‐Cell Omics Mapping into spatial Axes using Pseudotime ordering).