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AltraBio is a contract research company specializing in the analysis of biological and medical data using statistical methods and artificial intelligence.
Trusted globally, AltraBio serves as a research and development partner for leading companies and university hospitals across pharmaceuticals, medical devices, diagnostics, and dermato-cosmetics sectors.
How can we work together?
Partnership
Development of computational tools for data analysis in regional / national / international consortia.
Examples of current and completed projects:
Subcontracting
Data analysis for companies and university hospitals.
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Hundreds of completed projects
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Regular customers including top 10 pharmas and leaders in cosmetics
Funding
NEWS
March 2023
Best Biological & Medical Data Analysis Research Company 2023 – Western Europe
We are proud to have been awarded the title [...]
January 2023
XXXI Cosmet’in Lyon Skin Science Days
AltraBio will be present at the XXXI Cosmet'in Lyon Skin [...]
September 2021
CYTO Virtual Interactive Event
Why waste your time analyzing cytometry data manually when gating [...]
LATEST PUBLICATIONS
2015
Bauer, Yasmina; Tedrow, John; de Bernard, Simon; Birker-Robaczewska, Magdalena; Gibson, Kevin F; Guardela, Brenda Juan; Hess, Patrick; Klenk, Axel; Lindell, Kathleen O; Poirey, Sylvie; Renault, Bérengère; Rey, Markus; Weber, Edgar; Nayler, Oliver; Kaminski, Naftali
A novel genomic signature with translational significance for human idiopathic pulmonary fibrosis Journal Article
In: Am J Respir Cell Mol Biol, vol. 52, no. 2, pp. 217–231, 2015, ISSN: 1535-4989.
@article{pmid25029475,
title = {A novel genomic signature with translational significance for human idiopathic pulmonary fibrosis},
author = {Yasmina Bauer and John Tedrow and Simon de Bernard and Magdalena Birker-Robaczewska and Kevin F Gibson and Brenda Juan Guardela and Patrick Hess and Axel Klenk and Kathleen O Lindell and Sylvie Poirey and Bérengère Renault and Markus Rey and Edgar Weber and Oliver Nayler and Naftali Kaminski},
doi = {10.1165/rcmb.2013-0310OC},
issn = {1535-4989},
year = {2015},
date = {2015-02-01},
urldate = {2015-02-01},
journal = {Am J Respir Cell Mol Biol},
volume = {52},
number = {2},
pages = {217--231},
abstract = {The bleomycin-induced rodent lung fibrosis model is commonly used to study mechanisms of lung fibrosis and to test potential therapeutic interventions, despite the well recognized dissimilarities to human idiopathic pulmonary fibrosis (IPF). Therefore, in this study, we sought to identify genomic commonalities between the gene expression profiles from 100 IPF lungs and 108 control lungs that were obtained from the Lung Tissue Research Consortium, and rat lungs harvested at Days 3, 7, 14, 21, 28, 42, and 56 after bleomycin instillation. Surprisingly, the highest gene expression similarity between bleomycin-treated rat and IPF lungs was observed at Day 7. At this point of maximal rat-human commonality, we identified a novel set of 12 disease-relevant translational gene markers (C6, CTHRC1, CTSE, FHL2, GAL, GREM1, LCN2, MMP7, NELL1, PCSK1, PLA2G2A, and SLC2A5) that was able to separate almost all patients with IPF from control subjects in our cohort and in two additional IPF/control cohorts (GSE10667 and GSE24206). Furthermore, in combination with diffusing capacity of carbon monoxide measurements, four members of the translational gene marker set contributed to stratify patients with IPF according to disease severity. Significantly, pirfenidone attenuated the expression change of one (CTHRC1) translational gene marker in the bleomycin-induced lung fibrosis model, in transforming growth factor-β1-treated primary human lung fibroblasts and transforming growth factor-β1-treated human epithelial A549 cells. Our results suggest that a strategy focused on rodent model-human disease commonalities may identify genes that could be used to predict the pharmacological impact of therapeutic interventions, and thus facilitate the development of novel treatments for this devastating lung disease.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
2014
Faugaret, Delphine; Amara, Amira Ben; Alingrin, Julie; Daumas, Aurélie; Delaby, Amélie; Lépolard, Catherine; Raoult, Didier; Textoris, Julien; M`ege, Jean-Louis
Granulomatous response to Coxiella burnetii, the agent of Q fever: the lessons from gene expression analysis Journal Article
In: Front. Cell. Infect. Microbiol., vol. 4, pp. 172, 2014.
@article{Faugaret2014-ap,
title = {Granulomatous response to Coxiella burnetii, the agent of Q fever: the lessons from gene expression analysis},
author = {Delphine Faugaret and Amira Ben Amara and Julie Alingrin and Aurélie Daumas and Amélie Delaby and Catherine Lépolard and Didier Raoult and Julien Textoris and Jean-Louis M`ege},
doi = {10.3389/fcimb.2014.00172},
year = {2014},
date = {2014-12-01},
urldate = {2014-12-01},
journal = {Front. Cell. Infect. Microbiol.},
volume = {4},
pages = {172},
publisher = {Frontiers Media SA},
abstract = {The formation of granulomas is associated with the resolution of
Q fever, a zoonosis due to Coxiella burnetii; however the
molecular mechanisms of granuloma formation remain poorly
understood. We generated human granulomas with peripheral blood
mononuclear cells (PBMCs) and beads coated with C. burnetii,
using BCG extracts as controls. A microarray analysis showed
dramatic changes in gene expression in granuloma cells of which
more than 50% were commonly modulated genes in response to C.
burnetii and BCG. They included M1-related genes and genes
related to chemotaxis. The inhibition of the chemokines, CCL2
and CCL5, directly interfered with granuloma formation. C.
burnetii granulomas also expressed a specific transcriptional
profile that was essentially enriched in genes associated with
type I interferon response. Our results showed that granuloma
formation is associated with a core of transcriptional response
based on inflammatory genes. The specific granulomatous response
to C. burnetii is characterized by the activation of type 1
interferon pathway.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Q fever, a zoonosis due to Coxiella burnetii; however the
molecular mechanisms of granuloma formation remain poorly
understood. We generated human granulomas with peripheral blood
mononuclear cells (PBMCs) and beads coated with C. burnetii,
using BCG extracts as controls. A microarray analysis showed
dramatic changes in gene expression in granuloma cells of which
more than 50% were commonly modulated genes in response to C.
burnetii and BCG. They included M1-related genes and genes
related to chemotaxis. The inhibition of the chemokines, CCL2
and CCL5, directly interfered with granuloma formation. C.
burnetii granulomas also expressed a specific transcriptional
profile that was essentially enriched in genes associated with
type I interferon response. Our results showed that granuloma
formation is associated with a core of transcriptional response
based on inflammatory genes. The specific granulomatous response
to C. burnetii is characterized by the activation of type 1
interferon pathway.
Idbaih, Ahmed; Mokhtari, Karima; cois Emile, Jean-Franc; Galanaud, Damien; Belaid, Hayat; Bernard, Simon; Benameur, Neila; Barlog, Vlad-Ciprian; Psimaras, Dimitri; Donadieu, Jean; Carpentier, Catherine; Martin-Duverneuil, Nadine; Haroche, Julien; Feuvret, Loic; Zahr, Noel; Delattre, Jean-Yves; Hoang-Xuan, Kh^e
Dramatic response of a BRAF V600E-mutated primary CNS histiocytic sarcoma to vemurafenib Journal Article
In: Neurology, vol. 83, no. 16, pp. 1478–1480, 2014.
@article{Idbaih2014-pa,
title = {Dramatic response of a BRAF V600E-mutated primary CNS histiocytic sarcoma to vemurafenib},
author = {Ahmed Idbaih and Karima Mokhtari and Jean-Franc cois Emile and Damien Galanaud and Hayat Belaid and Simon Bernard and Neila Benameur and Vlad-Ciprian Barlog and Dimitri Psimaras and Jean Donadieu and Catherine Carpentier and Nadine Martin-Duverneuil and Julien Haroche and Loic Feuvret and Noel Zahr and Jean-Yves Delattre and Kh^e Hoang-Xuan},
doi = {10.1212/WNL.0000000000000880},
year = {2014},
date = {2014-10-01},
urldate = {2014-10-01},
journal = {Neurology},
volume = {83},
number = {16},
pages = {1478--1480},
publisher = {Ovid Technologies (Wolters Kluwer Health)},
keywords = {},
pubstate = {published},
tppubtype = {article}
}