Aurelien Naldi
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Explore the profile of Aurelien Naldi including associated specialties, affiliations and a list of published articles.
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1521
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Recent Articles
11.
Cantini L, Zakeri P, Hernandez C, Naldi A, Thieffry D, Remy E, et al.
Nat Commun
. 2021 Jan;
12(1):124.
PMID: 33402734
High-dimensional multi-omics data are now standard in biology. They can greatly enhance our understanding of biological systems when effectively integrated. To achieve proper integration, joint Dimensionality Reduction (jDR) methods are...
12.
Checcoli A, Pol J, Naldi A, Noel V, Barillot E, Kroemer G, et al.
Front Physiol
. 2020 Dec;
11:590479.
PMID: 33281620
As opposed to the standard tolerogenic apoptosis, immunogenic cell death (ICD) constitutes a type of cellular demise that elicits an adaptive immune response. ICD has been characterized in malignant cells...
13.
Hernandez C, Thomas-Chollier M, Naldi A, Thieffry D
Front Physiol
. 2020 Oct;
11:558606.
PMID: 33101049
At the crossroad between biology and mathematical modeling, computational systems biology can contribute to a mechanistic understanding of high-level biological phenomenon. But as knowledge accumulates, the size and complexity of...
14.
Keating S, Waltemath D, Konig M, Zhang F, Drager A, Chaouiya C, et al.
Mol Syst Biol
. 2020 Aug;
16(8):e9110.
PMID: 32845085
Systems biology has experienced dramatic growth in the number, size, and complexity of computational models. To reproduce simulation results and reuse models, researchers must exchange unambiguous model descriptions. We review...
15.
Aghamiri S, Singh V, Naldi A, Helikar T, Soliman S, Niarakis A
Bioinformatics
. 2020 May;
36(16):4473-4482.
PMID: 32403123
Motivation: Molecular interaction maps have emerged as a meaningful way of representing biological mechanisms in a comprehensive and systematic manner. However, their static nature provides limited insights to the emerging...
16.
Niarakis A, Kuiper M, Ostaszewski M, Malik Sheriff R, Casals-Casas C, Thieffry D, et al.
Brief Bioinform
. 2020 Apr;
22(2):1848-1859.
PMID: 32313939
The fast accumulation of biological data calls for their integration, analysis and exploitation through more systematic approaches. The generation of novel, relevant hypotheses from this enormous quantity of data remains...
17.
Hamyeh M, Bernex F, Larive R, Naldi A, Urbach S, Simony-Lafontaine J, et al.
Theranostics
. 2020 Jan;
10(3):1016-1032.
PMID: 31938048
Clinical data suggest that the protein tyrosine phosphatase PTPN13 exerts an anti-oncogenic effect. Its exact role in tumorigenesis remains, however, unclear due to its negative impact on FAS receptor-induced apoptosis....
18.
Sanchez-Villanueva J, Rodriguez-Jorge O, Ramirez-Pliego O, Salgado G, Abou-Jaoude W, Hernandez C, et al.
PLoS One
. 2019 Dec;
14(12):e0226388.
PMID: 31841528
In neonatal T cells, a low response to infection contributes to a high incidence of morbidity and mortality of neonates. Here we have evaluated the impact of the cytoplasmic and...
19.
Buffard M, Naldi A, Radulescu O, Coopman P, Larive R, Freiss G
Proteomics
. 2019 Sep;
19(21-22):e1800450.
PMID: 31472481
Protein phosphorylation acts as an efficient switch controlling deregulated key signaling pathway in cancer. Computational biology aims to address the complexity of reconstructed networks but overrepresents well-known proteins and lacks...
20.
Wigger L, Casals-Casas C, Baruchet M, Trang K, Pradervand S, Naldi A, et al.
PLoS One
. 2019 Aug;
14(8):e0220894.
PMID: 31437187
Transcriptional regulations exert a critical control of metabolic homeostasis. In particular, the nuclear receptors (NRs) are involved in regulating numerous pathways of the intermediate metabolism. The purpose of the present...