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
2024
Ribeiro, Sara; Chaumet, Guillaume; Alves, Karine; Nourikyan, Julien; Shi, Lei; Lavergne, Jean-Pierre; Mijakovic, Ivan; de Bernard, Simon; Buffat, Laurent
BacSPaD: A Robust Bacterial Strains' Pathogenicity Resource Based on Integrated and Curated Genomic Metadata Journal Article
In: Pathogens, vol. 13, no. 8, 2024, ISSN: 2076-0817.
@article{pmid39204272,
title = {BacSPaD: A Robust Bacterial Strains' Pathogenicity Resource Based on Integrated and Curated Genomic Metadata},
author = {Sara Ribeiro and Guillaume Chaumet and Karine Alves and Julien Nourikyan and Lei Shi and Jean-Pierre Lavergne and Ivan Mijakovic and Simon de Bernard and Laurent Buffat},
doi = {10.3390/pathogens13080672},
issn = {2076-0817},
year = {2024},
date = {2024-08-01},
urldate = {2024-08-01},
journal = {Pathogens},
volume = {13},
number = {8},
abstract = {The vast array of omics data in microbiology presents significant opportunities for studying bacterial pathogenesis and creating computational tools for predicting pathogenic potential. However, the field lacks a comprehensive, curated resource that catalogs bacterial strains and their ability to cause human infections. Current methods for identifying pathogenicity determinants often introduce biases and miss critical aspects of bacterial pathogenesis. In response to this gap, we introduce BacSPaD (Bacterial Strains' Pathogenicity Database), a thoroughly curated database focusing on pathogenicity annotations for a wide range of high-quality, complete bacterial genomes. Our rule-based annotation workflow combines metadata from trusted sources with automated keyword matching, extensive manual curation, and detailed literature review. Our analysis classified 5502 genomes as pathogenic to humans (HP) and 490 as non-pathogenic to humans (NHP), encompassing 532 species, 193 genera, and 96 families. Statistical analysis demonstrated a significant but moderate correlation between virulence factors and HP classification, highlighting the complexity of bacterial pathogenicity and the need for ongoing research. This resource is poised to enhance our understanding of bacterial pathogenicity mechanisms and aid in the development of predictive models. To improve accessibility and provide key visualization statistics, we developed a user-friendly web interface.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Wang, Shaoying; Prieux, Margaux; de Bernard, Simon; Dubois, Maxence; Laubreton, Daphne; Djebali, Sophia; Zala, Manon; Arpin, Christophe; Genestier, Laurent; Leverrier, Yann; Gandrillon, Olivier; Crauste, Fabien; Jiang, Wenzheng; Marvel, Jacqueline
Exogenous IL-2 delays memory precursors generation and is essential for enhancing memory cells effector functions Journal Article
In: iScience, vol. 27, no. 4, pp. 109411, 2024, ISSN: 2589-0042.
@article{pmid38510150,
title = {Exogenous IL-2 delays memory precursors generation and is essential for enhancing memory cells effector functions},
author = {Shaoying Wang and Margaux Prieux and Simon de Bernard and Maxence Dubois and Daphne Laubreton and Sophia Djebali and Manon Zala and Christophe Arpin and Laurent Genestier and Yann Leverrier and Olivier Gandrillon and Fabien Crauste and Wenzheng Jiang and Jacqueline Marvel},
doi = {10.1016/j.isci.2024.109411},
issn = {2589-0042},
year = {2024},
date = {2024-04-01},
urldate = {2024-04-01},
journal = {iScience},
volume = {27},
number = {4},
pages = {109411},
abstract = {To investigate the impact of paracrine IL-2 signals on memory precursor (MP) cell differentiation, we activated CD8 T cell in the presence or absence of exogenous IL-2 (ex-IL-2). We assessed memory differentiation by transferring these cells into virus-infected mice. Both conditions generated CD8 T cells that participate in the ongoing response and gave rise to similar memory cells. Nevertheless, when transferred into a naive host, T cells activated with ex-IL-2 generated a higher frequency of memory cells displaying increased functional memory traits. Single-cell RNA-seq analysis indicated that without ex-IL-2, cells rapidly acquire an MP signature, while in its presence they adopted an effector signature. This was confirmed at the protein level and in a functional assay. Overall, ex-IL-2 delays the transition into MP cells, allowing the acquisition of effector functions that become imprinted in their progeny. These findings may help to optimize the generation of therapeutic T cells.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
2023
Nedachi, Taku; Bonod, Christelle; Rorteau, Julie; Chinoune, Wafae; Ishiuchi, Yuri; Hughes, Sandrine; Gillet, Benjamin; Bechetoille, Nicolas; Sigaudo-Roussel, Dominique; Lamartine, Jérôme
Chronological aging impacts abundance, function and microRNA content of extracellular vesicles produced by human epidermal keratinocytes Journal Article
In: Aging (Albany NY), vol. 15, no. 22, pp. 12702–12722, 2023, ISSN: 1945-4589.
@article{pmid38015712,
title = {Chronological aging impacts abundance, function and microRNA content of extracellular vesicles produced by human epidermal keratinocytes},
author = {Taku Nedachi and Christelle Bonod and Julie Rorteau and Wafae Chinoune and Yuri Ishiuchi and Sandrine Hughes and Benjamin Gillet and Nicolas Bechetoille and Dominique Sigaudo-Roussel and Jérôme Lamartine},
doi = {10.18632/aging.205245},
issn = {1945-4589},
year = {2023},
date = {2023-11-01},
urldate = {2023-11-01},
journal = {Aging (Albany NY)},
volume = {15},
number = {22},
pages = {12702--12722},
abstract = {The disturbance of intercellular communication is one of the hallmarks of aging. The goal of this study is to clarify the impact of chronological aging on extracellular vesicles (EVs), a key mode of communication in mammalian tissues. We focused on epidermal keratinocytes, the main cells of the outer protective layer of the skin which is strongly impaired in the skin of elderly. EVs were purified from conditioned medium of primary keratinocytes isolated from infant or aged adult skin. A significant increase of the relative number of EVs released from aged keratinocytes was observed whereas their size distribution was not modified. By small RNA sequencing, we described a specific microRNA (miRNA) signature of aged EVs with an increase abundance of miR-30a, a key regulator of barrier function in human epidermis. EVs from aged keratinocytes were found to be able to reduce the proliferation of young keratinocytes, to impact their organogenesis properties in a reconstructed epidermis model and to slow down the early steps of skin wound healing in mice, three features observed in aged epidermis. This work reveals that intercellular communication mediated by EVs is modulated during aging process in keratinocytes and might be involved in the functional defects observed in aged skin.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}