IgE binding activities and in silico epitope prediction of Der f 32 in Dermatophagoides farinae

Li, Yuwei; Wang, Yuwei; Ran, Pixin; Yang, Ping‐Chang; Liu, Zhigang

doi:10.1016/j.imlet.2019.07.006

Cited by 4 publications

(3 citation statements)

References 46 publications

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“…45 In a recent publication, another allergenic cofilin, Der p 31, was identified. 40 Similarly, a pyrophosphatase, Der f 32, was identified as a minor allergen 46 and more recently Der p 32 was described as an allergen. 40 The tubulin/FtsZ family includes tubulin chains and bacterial FtsZ proteins.…”

Section: Animal-derivedmentioning

confidence: 99%

Newly defined allergens in the WHO/IUIS Allergen Nomenclature Database during 01/2019‐03/2021

Sudharson

Kalic

Häfner

et al. 2021

Allergy

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Every scientific discipline relies on unambiguously naming and describing the molecules, cells, and organisms that are the objects of their studies. These are the tasks of the nomenclature committees that enable effective communication among the various research areas.For example, the International Union of Pure and Applied Chemistry 1 is the universally recognized authority on chemical nomenclature.The complexity of the immune system requires worldwide efforts on nomenclature issues. 2 These include consensus nomenclatures

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Section: Animal-derivedmentioning

confidence: 99%

Newly defined allergens in the WHO/IUIS Allergen Nomenclature Database during 01/2019‐03/2021

Sudharson

Kalic

Häfner

et al. 2021

Allergy

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“…There has been much encroachment in the area of computational biology that aids many types of research and helps in diminishing the expected time consumption [7]. Further combination of various bioinformatics prediction methods could signi cantly increase the prediction accuracy [8]. Thus bioinformatics studies could provide reliable guidance in selecting speci c immunogenic epitopes, which will be signi cant for vaccine design, epitope mapping and antibody studies.…”

Section: Introductionmentioning

confidence: 99%

Structure/epitope-based immunoinformatics analysis of structural proteins of 2019 novel coronavirus

Mao

Yang³

et al. 2020

Preprint

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The newly identified 2019 novel coronavirus (2019-nCoV) has caused more than 81,400 laboratory-confirmed human infections, including 3261 deaths, posing a serious threat to human health. Currently, however, there is no specific antiviral treatment or vaccine. To identify immunodominant peptides for designing global peptide vaccine for combating the infections caused by 2019-nCoV, the structure and immunogenicity of 2019-nCoV structural protein were analyzed by bioinformatics tools. 33 B-cell epitopes and 39 T-cell epitopes were determined in four structural proteins via different immunoinformatic tools in which include spike protein (22 B-cell epitopes, 25 T-cell epitopes ), nucleocapsid protein (7 B-cell epitopes, 6 T-cell epitopes), membrane protein (2 B-cell epitopes, 7 T-cell epitopes), and envelope protein (2 B-cell epitopes, 1T-cell epitopes), respectively. The proportion of epitope residues in primary sequence was used to determine the antigenicity and immunogenicity of proteins. The envelope protein has the largest antigenicity in which residue coverage of B-cell epitopes is 24%. The membrane protein possesses the largest immunogenicity in which residue coverage of T-cell epitopes is 55.86%. The reason that immune storm was caused by 2019-nCoV maybe that the membrane and envelope protein expressed plentifully in cell infected. Further, studies involving experimental validation of these predicted epitopes is warranted to ensure the potential of B-cells and T-cells stimulation for their effective use as vaccine candidates. These findings provide the basis for starting further studies on the pathogenesis, and optimizing the design of diagnostic, antiviral and vaccination strategies for this emerging infection.

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“…Publication of a Der f draft genome produced with next generation sequencing (NGS) facilitated the identification of numerous allergens, 6 , 7 , 8 , 9 , 10 , 11 designated by the World Health Organization/International Union of Immunological Societies Allergen Nomenclature Sub-committee (WHO/IUIS). 12 However, the Der f draft genome has shortcomings due to technical limitations.…”

mentioning

confidence: 99%

Chromosome-level assembly of Dermatophagoides farinae genome and transcriptome reveals two novel allergens Der f 37 and Der f 39

Chen

Cai

Fan³

et al. 2021

World Allergy Organization Journal

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Accurate house dust mite (HDM) genome and transcriptome data would promote our understanding of HDM allergens. We sought to assemble chromosome-level genome and precise transcriptome profiling of Dermatophagoides farinae and identify novel allergens. In this study, genetic material extracted from HDM bodies and eggs were sequenced. Short-reads from next generation sequencing (NGS) and long-reads from PacBio/Nanopore sequencing were used to construct the D. farinae nuclear genome, transcriptome, and mitochondrial genome. The candidate homologs were screened through aligning our assembled transcriptome data with amino acid sequences in the WHO/IUIS database. Our results showed that compared with the D. farinae draft genome, bacterial DNA content in the presently developed sequencing reads was dramatically reduced (from 22.9888% to 1.5585%), genome size was corrected (from 53.55 Mb to 58.77 Mb), and the contig N50 was increased (from 8.54 kb to 9365.49 kb). The assembled genome has 10 contigs with minimal microbial contamination, 33 canonical allergens and 2 novel allergens. Eight homologs (≥50% homology) were cloned; 2 bound HDM allergic-sera and were identified as allergens (Der f 37 and Der f 39). In conclusion, a chromosome-level genome, transcriptome and mitochondrial genome of D. farinae was generated to support allergen identification and development of diagnostics and immunotherapeutic vaccines.

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IgE binding activities and in silico epitope prediction of Der f 32 in Dermatophagoides farinae

Cited by 4 publications

References 46 publications

Newly defined allergens in the WHO/IUIS Allergen Nomenclature Database during 01/2019‐03/2021

Newly defined allergens in the WHO/IUIS Allergen Nomenclature Database during 01/2019‐03/2021

Structure/epitope-based immunoinformatics analysis of structural proteins of 2019 novel coronavirus

Chromosome-level assembly of Dermatophagoides farinae genome and transcriptome reveals two novel allergens Der f 37 and Der f 39

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