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Background: We investigated the biological function of the mould allergen Alt a 1 as a carrier of micronutrients, such as the vitamin A metabolite retinoic acid (RA) and the influence of RA binding on its allergenicity in vitro and in vivo. Methods: Alt a 1‐RA complex formation was analyzed in silico and in vitro. PBMCs from Alternaria‐allergic donors were stimulated with Alt a 1 complexed with RA (holo‐Alt a 1) or empty apo‐Alt a 1 and analyzed for cytokine production and CD marker expression. Serum IgE‐binding and crosslinking assays to apo‐ and holo‐protein were correlated to B‐cell epitope analysis. Female BALB/c mice already sensitized to Alt a 1 were intranasally treated with apo‐Alt a 1, holo‐Alt a 1 or RA alone before measuring anaphylactic response, serum antibody levels, splenic cytokines and CD marker expression. Results: In silico docking calculations and in vitro assays showed that the extent of RA binding depended on the higher quaternary state of Alt a 1. Holo‐Alt a 1 loaded with RA reduced IL‐13 released from PBMCs and CD3+CD4+CRTh2 cells. Complexing Alt a 1 to RA masked its IgE B‐cell epitopes and reduced its IgE‐binding capacity. In a therapeutic mouse model of Alternaria allergy nasal application of holo‐Alt a 1, but not of apo‐Alt a 1, significantly impeded the anaphylactic response, impaired splenic antigen‐presenting cells and induced IL‐10 production. Conclusion: Holo‐Alt a 1 binding to RA was able to alleviate Th2 immunity in vitro, modulate an ongoing Th2 response and prevent anaphylactic symptoms in vivo, presenting a novel option for improving allergen‐specific immunotherapy in Alternaria allergy. [ABSTRACT FROM AUTHOR]

Background: In genomics, highly sensitive point mutation detection is particularly relevant for cancer diagnosis and early relapse detection. Next-generation sequencing combined with unique molecular identifiers (UMIs) is known to improve the mutation detection sensitivity. Methods: We present an open-source bioinformatics framework named Interface for Point Mutation Identification (IMPI) with a graphical user interface (GUI) for processing especially small-scale NGS data to identify variants. IMPI ensures detailed UMI analysis and clustering, as well as initial raw read processing, and consensus sequence building. Furthermore, the effects of custom algorithm and parameter settings for NGS data pre-processing and UMI collapsing (e.g., UMI clustered versus unclustered (raw) reads) can be investigated. Additionally, IMPI implements optimization and quality control methods; an evolution strategy is used for parameter optimization. Results: IMPI was designed, implemented, and tested using BCR::ABL1 fusion gene kinase domain sequencing data. In summary, IMPI enables a detailed analysis of the impact of UMI clustering and parameter setting changes on the measured allele frequencies. Conclusions: Regarding the BCR::ABL1 data, IMPI's results underlined the need for caution while designing specialized single amplicon NGS approaches due to methodical limitations (e.g., high PCR-mediated recombination rate). This cannot be corrected using UMIs. [ABSTRACT FROM AUTHOR]