Franck Auge
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Explore the profile of Franck Auge including associated specialties, affiliations and a list of published articles.
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18
Citations
157
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Recent Articles
1.
Frau F, Loustalot P, Tornqvist M, Temam N, Cupe J, Montmerle M, et al.
Sci Rep
. 2025 Jan;
15(1):3082.
PMID: 39856093
Precision medicine is defined by the U.S. Food & Drug Administration as "an innovative approach to tailoring disease prevention and treatment that considers differences in people's genes, environments, and lifestyles"....
2.
Zerrouk N, Auge F, Niarakis A
NPJ Digit Med
. 2024 Dec;
7(1):379.
PMID: 39719524
Rheumatoid arthritis is a complex disease marked by joint pain, stiffness, swelling, and chronic synovitis, arising from the dysregulated interaction between synoviocytes and immune cells. Its unclear etiology makes finding...
3.
Zerrouk N, Alcraft R, Hall B, Auge F, Niarakis A
NPJ Syst Biol Appl
. 2024 Jan;
10(1):10.
PMID: 38272919
Macrophages play an essential role in rheumatoid arthritis. Depending on their phenotype (M1 or M2), they can play a role in the initiation or resolution of inflammation. The M1/M2 ratio...
4.
de Cevins C, Delage L, Batignes M, Riller Q, Luka M, Remaury A, et al.
Cell Rep Med
. 2023 Dec;
4(12):101333.
PMID: 38118407
Gain-of-function mutations in stimulator of interferon gene 1 (STING1) result in STING-associated vasculopathy with onset in infancy (SAVI), a severe autoinflammatory disease. Although elevated type I interferon (IFN) production is...
5.
Beaude A, Rafiee Vahid M, Auge F, Zehraoui F, Hanczar B
Bioinformatics
. 2023 Jun;
39(39 Suppl 1):i94-i102.
PMID: 37387182
Motivation: The increasing availability of high-throughput omics data allows for considering a new medicine centered on individual patients. Precision medicine relies on exploiting these high-throughput data with machine-learning models, especially...
6.
Vahid M, Kurlovs A, Andreani T, Auge F, Olfati-Saber R, de Rinaldis E, et al.
NAR Genom Bioinform
. 2023 Mar;
5(1):lqad030.
PMID: 36968431
Most cell-cell interactions and crosstalks are mediated by ligand-receptor interactions. The advent of single-cell RNA-sequencing (scRNA-seq) techniques has enabled characterizing tissue heterogeneity at single-cell level. In the past few years,...
7.
Andreani T, Slot L, Gabillard S, Strubing C, Reimertz C, Yaligara V, et al.
NAR Genom Bioinform
. 2022 Jul;
4(3):lqac049.
PMID: 35855325
Multiple methods have recently been developed to reconstruct full-length B-cell receptors (BCRs) from single-cell RNA sequencing (scRNA-seq) data. This need emerged from the expansion of scRNA-seq techniques, the increasing interest...
8.
Ostaszewski M, Niarakis A, Mazein A, Kuperstein I, Phair R, Orta-Resendiz A, et al.
Mol Syst Biol
. 2021 Dec;
17(12):e10851.
PMID: 34939300
No abstract available.
9.
Boldina G, Fogel P, Rocher C, Bettembourg C, Luta G, Auge F
Bioinformatics
. 2021 Nov;
38(4):1015-1021.
PMID: 34788798
Motivation: Molecular signatures are critical for inferring the proportions of cell types from bulk transcriptomics data. However, the identification of these signatures is based on a methodology that relies on...
10.
Ostaszewski M, Niarakis A, Mazein A, Kuperstein I, Phair R, Orta-Resendiz A, et al.
Mol Syst Biol
. 2021 Oct;
17(10):e10387.
PMID: 34664389
We need to effectively combine the knowledge from surging literature with complex datasets to propose mechanistic models of SARS-CoV-2 infection, improving data interpretation and predicting key targets of intervention. Here,...