Lille Platforms in Biology & Health – PLBS – UMS 2014 – US 41
The Transcriptomics and Applied Genomics Laboratory (TAG: Transcriptomic & Applied Genomic) is a technological platform at the Pasteur Institute of Lille specializing in genomics. Its expertise is based on the use and development of applications derived from the latest high-throughput sequencing technologies. TAG is one of the two platforms comprising the GO@L (Genomic at Lille) network, which is IBiSA-certified and belongs to the Joint Service Unit PLBS (Lille Platform in Biology & Health) UMS2014 US41.
TAG has developed recognized expertise in the genomics of microorganisms and their impacts on human health. This expertise has been developed around three main areas: (i) the study, using a metagenomic approach, of microbial flora (mainly bacterial), their composition and their evolution, (ii) the study of the genomics of microorganisms at the whole-genome level in order to determine, study and monitor their characteristics, and finally (iii) the study of transcriptomic expression of microbial genomes and model organisms used in microbiology.
TAG interacts primarily through collaboration with Lille-based actors in biology & health research and also develops analytical solutions and tools and applies them through its own study topics.
TAG is one of the two constituent platforms of GO@L (Genomics at Lille), a network certified by the Infrastructure in Biology, Health and Agronomy (GIS IBiSA). TAG is part of thePLBS Joint Service Unit - UMS 2014 – US 41.
News
- January 2021: Labelling of GO@L, alliance of TAG and the functional and structural genomics platform (Univ. Lille, CHU de Lille), by the Infrastructure in Biology Health and Agronomy (GIS IBiSA).
- Implementation of a protocol for sequencing and assembling whole coronavirus genomes from patient samples. Development of a reference-free assembly tool V-ASAP (Virus Amplicon Sequencing Assembly Pipeline).
- Development of an automated whole genome sequencing analysis pipeline: MICRA (Microbial Identification and Characterization through Reads Analysis).
Cross-functional projects
Members
Ségolène CABOCHE
Bioinformatics Research Engineer
Delphine BEURY
Molecular Biology Engineer
Florence MAURIER
Bioanalysis Engineer
Cécile LECOEUR
Biostatistical Research Engineer
Yasmina MESLOUB
Bioanalysis Engineer
Myriam DELACRE
Molecular Biology Technician
Keywords
Team contact
Publications
Common Biol. 2020 May 14;3(1):237. doi:10.1038/s42003-020-0965-6. PMID: 32409640; PMCID: PMC7224208.
Influenza infection rewires energy metabolism and induces browning features in adipose cells and tissues.
Virology. 2019 Mar 9; 531:141-148. doi: 10.1016/j.virol.2019.03.006. [Epub ahead of print] PubMed PMID: 30878524.
A complete protocol for whole-genome sequencing of viruses from clinical samples: Application to coronavirus OC43.
Genome Biol. 2017 Dec 19;18(1):233. doi:10.1186/s13059-017-1367-z. PubMed PMID: 29258574; PubMed Central PMCID: PMC5738152.
MICRA: an automatic pipeline for rapid characterization of microbial genomes from high-throughput sequencing data.
RNA Biol. 2018 May 18:1-9. doi:10.1080/15476286.2018.1462655. [Epub ahead of print] PubMed PMID: 29683387.
Primary transcriptome analysis reveals importance of IS elements for the shaping of the transcriptional landscape of Bordetella pertussis.
PLoS One. 2017 Jan 4;12(1):e0169563. doi:10.1371/journal.pone.0169563. PubMed PMID: 28052134; PubMed Central PMCID: PMC5215245.
