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Hi, I am Jérémy

Jérémy Martin

Bioinformatician Engineer at Gaudenzio Lab, INFINITy

I am a passionate bioinformatician with 2 years of working experience in academy. In one hand, I conduct data anlysis (principaly imaging, transcriptomics, proteomics). In other hand, I built some tools to facilitate data exploration by biologist.

Team working
Autonomy
Task Priorization
Adaptability and Flexibility
Technical Vulgarization

Skills

Experiences

1
Gaudenzio Lab, INIFNITy (INSERM, UMR 1291)

Jan 2021 - Present, Toulouse, FRANCE (31)

Bioinformatician Engineer, I am in charge into analysis of data generated by the laboratory team. To adress the problematics raised by the lab, I design analytical plan using or developping informatic tools.

Bioinformatician Engineer

Jul 2021 - Present

  • Design, develop and conduct multiomics analysis pipeline.
  • Design, develop and manage bioinformatician formations.
  • Communication and vulgarization about new methods in my fields.
Bioinformatician Internship

Jan 2021 - Jun 2021

  • Development of an analysis pipeline to deals with single cell RNA-seq data.
  • I conducted transcriptomics analysis of mast cells and neuro-immune interactome study. I also initiated peptidomics and proteomics study.
  • Finally, I draft a R Shiny application to allow lab members to explore by their own way their single cell RNA-seq data.

Bioinformatician Internship
SeqOccin, GenPhySe (INRAE)

Jun 2020 - Aug 2020, Auzeville, FRANCE (31)

Facultative Internship. Full-remote.

Responsibilities:
  • Design, develop and conduct Hi-C Analysis.
  • Familiarization with HPC SLURM from GenoToul.
  • Introduction to nextflow NF-Core pipeline.
2

Education

M.Sc. in Bioinformatics and System Biology
Classement: 1 out of 16
Taken Courses
  • System Biology and Modelisation
  • Introduction to Machine Learning
  • Scientific Communications
  • Advanced databases
  • Heterogeneous Data Integration
  • Phylogenomics
  • Introduction to Paleogenomics
  • 6-Months Internship
Extracurricular Activities
  • 6-Months Internship: Study of the communication between sensory neurons and immune cells during allergic contact dermatitis: a bioinformatic approach.
B.Sc. Hons. in Bioinformatics & System Biology
Classement: 3 out of 17
Taken Courses
  • Sequences Bioinformatics
  • Genomics Bioinformatics
  • Programation applied to Bioinformatics (Python)
  • Graphs and Biological Networks
  • Introduction to databases
  • Mathematics for Biology
  • Algorithmic and Complexity
  • Postgenomic data treatment
  • Molecular Evolution
  • Data Mining
  • Avanced Programation and Software Engineering (Java)
  • Multivariate Analysis
  • Biostatistics and Linear Models
Extracurricular Activities
  • 2-Months Internship: Polled-HiC, an analysis to map chromosomic regions of interest in bovine models.
  • Tutored Project: Benchmarking of read counting tools and characterization of a difference in the calculation of the sequencing depth.
B.Sc. in Biochemistry, Microbiology & Molecular Biology
Taken Courses
  • Structural Biochemistry
  • Analytical Biochemistry
  • Microbiology and Molecular Genetics
  • Methodology in Molecular Biology
  • Immunology
  • Bioanalysis
  • Interaction Protein-Protein
  • Metabolisme and Enzymology
  • Cellular Biology
H.N.D. in Medical Laboratory Technology
Taken Courses
  • Technical and Clinical Biochemistry
  • Technical and Clinical Hematology
  • Technical and Clinical Bacteriology
  • Technical and Clinical Parasitology
  • Technical and Clinical Immunology
  • Human Biology and Homeostasis
  • Lab Quality
Extracurricular Activities
  • Internship: Pathological Department of Toulouse Hospital. Internship within the Cytology department, acquisition of good practice in cytology and histology lab, classical techniques and advanced (immuno)-hysto/cytochemistry.

Projects

Single cell analysis of mast cell populations across organs reveals insights into cell origins, anatomical niches and neuron-associated functions
Single cell analysis of mast cell populations across organs reveals insights into cell origins, anatomical niches and neuron-associated functions
Talk Genotoul Biostat Bioinfo Day - December 1st, 2022

Mast cells (MCs) are tissue-resident immune cells which could be identified as Conjonctive Tissue Mast cells (CTMCs) and Mucosal Mast cells (MMCs). Thank’s to single cell RNA seq approach, we reached to establish transcriptomics profiles of these Mast cells, understanding their functions and tissue-imprintings, with the aim to develop a transcriptomic atlas across organs.

Consideration of data heterogeneity and automation of single cell RNA-seq processing
Consideration of data heterogeneity and automation of single cell RNA-seq processing
Talk Scientific Day by Toulouse Genopole - July 11th, 2022

Invited to speak at the Scientific Day organized by Genotoul about heterogeneity in single cell RNA seq data. Presentation about the impact of heterogeneity of scRNA-seq data in a classical analysis pipeline and the importance of taking it into account. Throughout this presentation, I used three different types of datasets, generated by the team, to support my points.

Toolbox - FeaturePlot
Owner Mar, 2021 - Aug, 2021

A visual tools for Single Cell RNA seq data. This repo is a draft to the manipulation of RShiny applied to scRNA-seq data and Seurat Object.

Publications

Mast cells (MCs) are tissue-resident immune cells which exhibit homeostatic and neuron-associated functions. Here we combined whole-tissue imaging and single cell RNA sequencing datasets to generate a pan-organ analysis of MCs in mice and humans at steady state.

Routine clinical assays, such as conventional immunohistochemistry, often fail to resolve the regional heterogeneity of complex inflammatory skin conditions. Here we introduce MANTIS (Multiplexed Annotated Tissue Imaging System), a flexible analytic pipeline compatible with routine practice, specifically-designed for spatially-resolved immune phenotyping of the skin in experimental or clinical samples. Based on phenotype attribution matrices coupled to α-shape algorithms, MANTIS projects a representative digital immune landscape, while enabling automated detection of major inflammatory clusters and concomitant single-cell data quantification of biomarkers.

The anaplastic lymphoma kinase (ALK) is a receptor tyrosine kinase known for its oncogenic potential that is involved in the development of the peripheral and central nervous system. ALK receptor ligands ALKAL1 and ALKAL2 were recently found to promote neuronal differentiation and survival. Here, we show that inflammation or injury enhanced ALKAL2 expression in a subset of TRPV1+ sensory neurons. Notably, ALKAL2 was particularly enriched in both mouse and human peptidergic nociceptors, yet weakly expressed in nonpeptidergic, large-diameter myelinated neurons or in the brain. Using a coculture expression system, we found that nociceptors exposed to ALKAL2 exhibited heightened excitability and neurite outgrowth. Intraplantar CFA or intrathecal infusion of recombinant ALKAL2 led to ALK phosphorylation in the lumbar dorsal horn of the spinal cord. Finally, depletion of ALKAL2 in dorsal root ganglia or blocking ALK with clinically available compounds crizotinib or lorlatinib reversed thermal hyperalgesia and mechanical allodynia induced by inflammation or nerve injury, respectively. Overall, our work uncovers the ALKAL2/ALK signaling axis as a central regulator of nociceptor-induced sensitization. We propose that clinically approved ALK inhibitors used for non–small cell lung cancer and neuroblastomas could be repurposed to treat persistent pain conditions.

Accomplishments

ISTQB Foundation v4
CFTL 12/22/2023

Avanced R Course / Machine Learning with R and Caret
Formatech Consulting 05/24 - 05/31 - 06/07/2023

Practicals on machine and deep learning using R and Keras

Machine Learning Assessment

Bash Assessment

R Assessment