BaHSic Lab

BaHSic — Blood group Antigens, Hematopoiesis and Sickle cell disease

Hematopoiesis & Translational Research: blood cell biology, multi-omic approaches, and translational studies.

Contact (+33) 1 81 72 43 14 sara.bencheikh@inserm.fr

Location Hôpital Necker – Enfants Malades 149 rue de Sèvres 75015 Paris
Bioinformatics data visualisation and analysis screens

Platforms & Technologies

Bioinformatics & Omics Technologies

Our bioinformatics and omics platform supports the analysis of high-dimensional biological datasets, from single-cell transcriptomics to integrative multi-omics studies, with a strong focus on hematopoiesis, red blood cell biology, and translational research.

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Single-cell clustering and omics analysis

Core expertise

  • Single-cell RNA-seq analysis
  • Bulk RNA-seq and transcriptomic profiling
  • Differential expression analysis
  • Functional enrichment and pathway analysis
  • Data visualisation and reproducible workflows

Applications

  • Cell population identification and annotation
  • Characterisation of hematopoietic differentiation states
  • Comparative analyses between healthy and disease conditions
  • Detection of transcriptional signatures and biological pathways
  • Patient- and sample-level quantitative analyses

Computational approaches

  • Clustering and dimensionality reduction
  • Pseudobulk and statistical modelling
  • Signature scoring and marker-based interpretation
  • Integrative analysis across batches and modalities
  • Custom pipelines in R and Python
Workflow from raw omics data to biological interpretation

From raw data to biological insight

We develop and apply analytical workflows that transform complex omics datasets into interpretable biological results. These analyses include preprocessing, quality control, integration, clustering, statistical testing, pathway enrichment, and the generation of publication-ready figures.

Particular attention is given to robustness, reproducibility, and the biological interpretation of results in the context of red blood cell disorders, inflammation, hematopoiesis, and sickle cell disease.

Heatmap and clustering results in bioinformatics

Technologies and data types

The platform is designed to support a wide range of datasets and analytical questions, including single-cell transcriptomics, bulk gene expression profiling, proteomics-oriented datasets, and integrative approaches that combine molecular and cellular measurements.

Our analyses are tailored to the needs of each project, from exploratory profiling to hypothesis-driven studies and translational applications.

🩸 Red blood cells 🔥 Inflammation 🧬 Blood group antigens 🧫 Sickle Cell Disease 🌱 Hematopoiesis 🛡️ Spleen Alloimmunization 🧬🔬 CRISPR-Cas9 • scRNA-seq • Proteomics • Microfluidics • Amnis • Rheology • ATAC-seq 🧫 Erythroid cell lines 🧪 Immunohematology
Inserm BaHSic UPC EFS U_Antilles
Hôpital Necker – Enfants Malades 149 rue de Sèvres 75015 Paris

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