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Maria Colome-Tatche

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Articles 39
Citations 1458
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Recent Articles
1.
Keneskhanova Z, McWilliam K, Cosentino R, Barcons-Simon A, Dobrynin A, Smith J, et al.
Nature . 2025 Mar; PMID: 40074895
Antigenic variation is an immune evasion strategy used by many different pathogens. It involves the periodic, non-random switch in the expression of different antigens throughout an infection. How the observed...
2.
Narasimhan H, Richter M, Shakiba R, Papaioannou N, Stehle C, Ravi Rengarajan K, et al.
Proc Natl Acad Sci U S A . 2025 Feb; 122(9):e2417308122. PMID: 39993193
Conventional dendritic cells (cDCs) are potent antigen-presenting cells (APCs) that integrate signals from their environment allowing them to direct situation-adapted immunity. Thereby they harbor great potential for being targeted in...
3.
Rendo V, Schubert M, Khuu N, Suarez Peredo Rodriguez M, Whyte D, Ling X, et al.
Nat Commun . 2025 Jan; 16(1):1077. PMID: 39870664
While the effect of amplification-induced oncogene expression in cancer is known, the impact of copy-number gains on "bystander" genes is less understood. We create a comprehensive map of dosage compensation...
4.
Antoniolli M, Solovey M, Hildebrand J, Freyholdt T, Strobl C, Bararia D, et al.
Cell Death Differ . 2025 Jan; PMID: 39843653
The cell death receptor FAS and its ligand (FASLG) play crucial roles in the selection of B cells during the germinal center (GC) reaction. Failure to eliminate potentially harmful B...
5.
Hu Y, Oleshko S, Firmani S, Zhu Z, Cheng H, Ulmer M, et al.
Res Sq . 2024 Oct; PMID: 39372928
Understanding complex interactions in biomedical networks is crucial for advancements in biomedicine, but traditional link prediction (LP) methods are limited in capturing this complexity. Representation-based learning techniques improve prediction accuracy...
6.
Hu Y, Oleshko S, Firmani S, Zhu Z, Cheng H, Ulmer M, et al.
bioRxiv . 2024 Aug; PMID: 39149355
Understanding complex interactions in biomedical networks is crucial for advancements in biomedicine, but traditional link prediction (LP) methods are limited in capturing this complexity. Representation-based learning techniques improve prediction accuracy...
7.
Pereira A, Diwakar J, Masserdotti G, Beskardes S, Simon T, So Y, et al.
Nat Neurosci . 2024 Jul; 27(7):1260-1273. PMID: 38956165
Direct neuronal reprogramming is a promising approach to regenerate neurons from local glial cells. However, mechanisms of epigenome remodeling and co-factors facilitating this process are unclear. In this study, we...
8.
Sanchez-Quant E, Richter M, Colome-Tatche M, Martinez-Jimenez C
Genome Biol . 2023 Oct; 24(1):234. PMID: 37848949
Background: Xenobiotics are primarily metabolized by hepatocytes in the liver, and primary human hepatocytes are the gold standard model for the assessment of drug efficacy, safety, and toxicity in the...
9.
Swoboda A, Arfelli V, Danese A, Windisch R, Kerbs P, Redondo Monte E, et al.
Hemasphere . 2023 Oct; 7(10):e958. PMID: 37841755
Activating colony-stimulating factor-3 receptor gene () mutations are recurrent in acute myeloid leukemia (AML) with t(8;21) translocation. However, the nature of oncogenic collaboration between alterations of and the t(8;21) associated...
10.
Ramakrishnan A, Symeonidi A, Hanel P, Schmid K, Richter M, Schubert M, et al.
Nat Commun . 2023 Sep; 14(1):5846. PMID: 37730813
Single-cell open chromatin profiling via scATAC-seq has become a mainstream measurement of open chromatin in single-cells. Here we present epiAneufinder, an algorithm that exploits the read count information from scATAC-seq...