High-quality analyses
AltraBio harnesses its renowned expertise in bioinformatics, biostatistics, and biology to offer services in the analysis and interpretation of various omics data types (genomics, epigenomics, transcriptomics, proteomics, etc.).
Our team collaborates closely with clients and partners for each project to ensure their goals are met.
Expertise in biostatistics and bioinformatics
Before conducting differential analyses, we implement various methods to assess the data quality and its consistency with the experimental design. We specifically address outliers and effects unrelated to the design to correct them in agreement with of our client/partner. This ensures the relevance of the analysis performed.
Experimental designs may involve multiple factors such as donor, cell type, treatment, dose, and timepoints, allowing for analysis from various perspectives. To address the biological question(s) of the study, AltraBio identifies the most appropriate statistical model (paired design, batch effect correction, estimation of hidden factors, outlier weighting, etc.).
AltraBio has the expertise to integrate various types of data (multi-omics, cytometry, medical data, etc.). We employ supervised and unsupervised machine learning for various applications including biomarker identification, classification, predictive models for diagnostics or treatment response. Our clients benefit from our strong proficiency in utilizing state-of-the-art machine learning algorithms to extract maximum value from their data.
Expertise in biology
Biological processes and pathways are identified through the implementation of various complementary methods of functional category enrichment. These automated results are then reviewed to assess their relevance with the biological context of the study.
Beyond providing lists of molecules and biological pathways, AltraBio’s role is to extract meaning. In the interpretation phase, we consider the biological question(s) that initiated the study and evaluate the results while integrating biological knowledge available in scientific literature and databases. Our goal is to understand the biological mechanisms at play and formulate new hypotheses for validation. Examples of synthetic diagrams produced by AltraBio can be found in figures S8A and S9A of this article).
Reporting
All the work conducted is summarized in a comprehensive report provided to our client/partner and explained during a video conference. This exchange allows us to clarify the chosen methodological approaches and their results, ensuring that our client/partner has the best understanding of their data.
The results of statistical analysis are also accessible through the WikiBioPath web interface, providing our clients/partners with a set of visualisation and analysis tools to continue exploring their data. They can easily visualize volcano plots, generate new heat maps, perform PCA, and conduct enrichment analyses on gene selections.
Our publications in Omics Data Analysis
2022
Todorov, Helena; Prieux, Margaux; Laubreton, Daphne; Bouvier, Matteo; Wang, Shaoying; de Bernard, Simon; Arpin, Christophe; Cannoodt, Robrecht; Saelens, Wouter; Bonnaffoux, Arnaud; Gandrillon, Olivier; Crauste, Fabien; Saeys, Yvan; Marvel, Jacqueline
CD8 memory precursor cell generation is a continuous process Journal Article
In: iScience, vol. 25, no. 9, pp. 104927, 2022, ISSN: 2589-0042.
@article{pmid36065187,
title = {CD8 memory precursor cell generation is a continuous process},
author = {Helena Todorov and Margaux Prieux and Daphne Laubreton and Matteo Bouvier and Shaoying Wang and Simon de Bernard and Christophe Arpin and Robrecht Cannoodt and Wouter Saelens and Arnaud Bonnaffoux and Olivier Gandrillon and Fabien Crauste and Yvan Saeys and Jacqueline Marvel},
doi = {10.1016/j.isci.2022.104927},
issn = {2589-0042},
year = {2022},
date = {2022-09-01},
urldate = {2022-09-01},
journal = {iScience},
volume = {25},
number = {9},
pages = {104927},
abstract = {In this work, we studied the generation of memory precursor cells following an acute infection by analyzing single-cell RNA-seq data that contained CD8 T cells collected during the postinfection expansion phase. We used different tools to reconstruct the developmental trajectory that CD8 T cells followed after activation. Cells that exhibited a memory precursor signature were identified and positioned on this trajectory. We found that these memory precursors are generated continuously with increasing numbers arising over time. Similarly, expression of genes associated with effector functions was also found to be raised in memory precursors at later time points. The ability of cells to enter quiescence and differentiate into memory cells was confirmed by BrdU pulse-chase experiment . Analysis of cell counts indicates that the vast majority of memory cells are generated at later time points from cells that have extensively divided.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Silic, Linda Ljungberg; Lefevre, Marine-Alexia; Bergendorff, Ola; Bernard, Simon De; Nourikyan, Julien; Buffat, Laurent; Nosbaum, Audrey; Bruze, Magnus; Nicolas, Jean-François; Svedman, Cecilia; Vocanson, Marc
Gene profiling reveals a contact allergy signature in most positive Amerchol L-101 patch test reactions Journal Article
In: Contact Dermatitis, vol. 87, no. 1, pp. 40–52, 2022, ISSN: 1600-0536.
@article{pmid35184302,
title = {Gene profiling reveals a contact allergy signature in most positive Amerchol L-101 patch test reactions},
author = {Linda Ljungberg Silic and Marine-Alexia Lefevre and Ola Bergendorff and Simon De Bernard and Julien Nourikyan and Laurent Buffat and Audrey Nosbaum and Magnus Bruze and Jean-François Nicolas and Cecilia Svedman and Marc Vocanson},
doi = {10.1111/cod.14077},
issn = {1600-0536},
year = {2022},
date = {2022-07-01},
urldate = {2022-07-01},
journal = {Contact Dermatitis},
volume = {87},
number = {1},
pages = {40--52},
abstract = {BACKGROUND: Diagnosis of contact allergy (CA) to Amerchol L-101 (AL-101), a marker for lanolin allergy, is problematic. Positive patch test reactions are frequently doubtful or weakly positive and difficult to associate with clinical relevance.
OBJECTIVE: To gain further insight on the allergic or irritant nature of skin reactions induced by AL-101 patch test.
METHODS: We re-tested in a dose-response fashion, 10 subjects with AL-101 CA and performed comprehensive transcriptomic analysis (gene arrays, quantitative real-time polymerase chain reaction [qRT-PCR]) of samples of their skin reactions.
RESULTS: Eight of the 10 CA subjects reacted positively upon re-test, whereas two did not react. Most of AL-101 positive patch tests expressed an allergy signature with strong activation of gene modules associated with adaptive immunity and downregulation of cornification pathway genes. In addition, the breadth of gene modulation correlated with the magnitude of patch test reactions and the concentration of AL-101 applied. However, we observed that some of the positive patch test reactions to AL-101 expressed no/few allergy biomarkers, suggesting the induction of an irritant skin inflammation in these samples.
CONCLUSIONS: This study confirms that AL-101 is an allergen that can cause both contact allergy and contact irritation. Our results also highlight that molecular profiling might help to strengthen clinical diagnosis.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
OBJECTIVE: To gain further insight on the allergic or irritant nature of skin reactions induced by AL-101 patch test.
METHODS: We re-tested in a dose-response fashion, 10 subjects with AL-101 CA and performed comprehensive transcriptomic analysis (gene arrays, quantitative real-time polymerase chain reaction [qRT-PCR]) of samples of their skin reactions.
RESULTS: Eight of the 10 CA subjects reacted positively upon re-test, whereas two did not react. Most of AL-101 positive patch tests expressed an allergy signature with strong activation of gene modules associated with adaptive immunity and downregulation of cornification pathway genes. In addition, the breadth of gene modulation correlated with the magnitude of patch test reactions and the concentration of AL-101 applied. However, we observed that some of the positive patch test reactions to AL-101 expressed no/few allergy biomarkers, suggesting the induction of an irritant skin inflammation in these samples.
CONCLUSIONS: This study confirms that AL-101 is an allergen that can cause both contact allergy and contact irritation. Our results also highlight that molecular profiling might help to strengthen clinical diagnosis.
Roux, Natacha; Miura, Saori; Dussene, Mélanie; Tara, Yuki; Lee, Fiona; Bernard, Simon; Reynaud, Mathieu; Salis, Pauline; Barua, Agneesh; Boulahtouf, Abdelhay; Balaguer, Patrick; Gauthier, Karine; Lecchini, David; Gibert, Yann; Besseau, Laurence; Laudet, Vincent
The multi-level regulation of clownfish metamorphosis by thyroid hormones Journal Article
In: bioRxiv, 2022.
@article{Roux2022.03.04.482938,
title = {The multi-level regulation of clownfish metamorphosis by thyroid hormones},
author = {Natacha Roux and Saori Miura and Mélanie Dussene and Yuki Tara and Fiona Lee and Simon Bernard and Mathieu Reynaud and Pauline Salis and Agneesh Barua and Abdelhay Boulahtouf and Patrick Balaguer and Karine Gauthier and David Lecchini and Yann Gibert and Laurence Besseau and Vincent Laudet},
url = {https://www.biorxiv.org/content/early/2022/03/04/2022.03.04.482938},
doi = {10.1101/2022.03.04.482938},
year = {2022},
date = {2022-03-04},
urldate = {2022-01-01},
journal = {bioRxiv},
publisher = {Cold Spring Harbor Laboratory},
abstract = {Most marine organisms have a biphasic life cycle during which a pelagic larva is transformed into a radically different juvenile. In vertebrates the role of thyroid hormones (TH) in triggering this transition is well known, but how the morphological and physiological changes are integrated in a coherent way with the ecological transition remains poorly explored. To gain insight into this question, we performed an integrative analysis of metamorphosis of a marine teleost, the clownfish Amphiprion ocellaris. We reveal how TH coordinate a change in color vision as well as a major metabolic shift in energy production, hence highlighting its central integrative role in regulating this transformation. By manipulating the activity of LXR, a major regulator of metabolism, we also reveal a tight link between metabolic changes and metamorphosis progression. Strikingly, we observed that these regulations are at play in the wild revealing how hormones coordinate energy needs with available resources during life cycle.Competing Interest StatementThe authors have declared no competing interest.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}