Research question is focused on understanding whether IgG1-expressing B cells act as a durable immunological reservoir linking allergic inflammation and respiratory infection in the lung.
Integrate publicly available mouse lung single-cell RNA-sequencing datasets from allergic airway disease models (e.g., HDM-induced allergy) and respiratory infection models (e.g., influenza).
Identify and compare IgG1? B cell populations across these conditions.
Determine how IgG1? B cells differ in their transcriptional programs, activation states, and pathway signatures between allergy and infection settings.
Assess whether IgG1? B cells maintain a stable class-switch identity while dynamically adapting downstream inflammatory programs (e.g., type-2 vs interferon-driven responses).
The primary goal is to define shared versus context-specific pathways in IgG1? B cells that may explain how allergic immune memory persists and is modulated during infection.
Please let me know if you require any further clarification regarding datasets, species (mouse), or analytical approaches (Seurat-based scRNA-seq integration).
Research publication having scRNA data, so looking someone to integrate those datasets and reanalyse to see the differences.
Start from data integration from all the papers and analyze using Bioinformatics tool like R.
Required Qualification:
Master or Ph.D. in Bioinformatics, Computational Biology, Biotechnology, Molecular Biology, or related fields.