Biology subjects

WANG, M.

Publications and source records attributed to WANG, M..

3 recordsLinked to original sources

bioRxiv2023

Comprehensive Allergen Profile of Blomia tropicalis Provides Insights into the Component-Resolved Diagnosis of Mite Allergy

BackgroundBlomia (B.) tropicalis, as an important species of house dust mites (HDMs), plays a critical role in allergic diseases in tropical populations, but its allergen components are less investigated than those of other HDMs. Multiple omics methods have largely improved the identification of mite allergens. Here, we sought to identify a comprehensive allergen profile of B. tropicalis and advance the allergen component-resolved diagnosis (CRD) of mite allergy. MethodsReference mite allergen sequences were searched in a high-quality genome of B. tropicalis. Comparative analysis was performed for important allergen groups. ELISA was used to assess the allergenicities of recombinant proteins of specific allergens. ResultsA complete allergen profile of B. tropicalis was revealed, including thirty-seven allergen groups (up to Blo t 42). In-depth comparative analysis not only determined the homology of major allergen groups 5 and 21 but also shed light on the emergence and divergence of chitin-binding allergens. The specific Blo t 12 was identified to be a chitin-binding protein originating from the chitinase of allergen group 15. Immunoassays of recombinant proteins verified three novel allergens and the ELISA results suggested geographical differences in the B. tropicalis sensitization rate. ConclusionsThe comprehensive allergen profile revealed in B. tropicalis, the comparative analysis of allergen groups and the immunoassay assessment of recombinant proteins largely expanded our knowledge to B. tropicalis allergens and could ultimately benefit the CRD of HDM allergy.

immunology↗

bioRxiv2022

Resolving single-cell copy number profiling for large datasets

The advances of single-cell DNA sequencing (scDNA-seq) enable us to characterize the genetic heterogeneity of cancer cells. However, the high noise and low coverage of scDNA-seq impede the estimation of copy number variations (CNVs). In addition, existing tools suffer from intensive execution time and often fail on large datasets. Here, we propose SeCNV, a novel method that leverages structural entropy, to profile the copy numbers. SeCNV adopts a local Gaussian kernel to construct a matrix, depth congruent map, capturing the similarities between any two bins along the genome. Then SeCNV partitions the genome into segments by minimizing the structural entropy from the depth congruent map. With the partition, SeCNV estimates the copy numbers within each segment for cells. We simulate nine datasets with various breakpoint distributions and amplitudes of noise to benchmark SeCNV. SeCNV achieves a robust performance, i.e., the F1-scores are higher than 0.95 for breakpoint detections, significantly outperforming state-of-the-art methods. SeCNV successfully processes large datasets (>50,000 cells) within four minutes while other tools failed to finish within the time limit, i.e., 120 hours. We apply SeCNV to single-nucleus sequencing (SNS) datasets from two breast cancer patients and acoustic cell tagmentation (ACT) sequencing datasets from eight breast cancer patients. SeCNV successfully reproduces the distinct subclones and infers tumor heterogeneity. SeCNV is available at https://github.com/deepomicslab/SeCNV.

bioinformatics↗

bioRxiv2020

NMR spectroscopy analysis reveals an altered metabolic homeostasis in Arabidopsis seedlings treated with a cytokinesis inhibitor

In plant cytokinesis, de novo formation of a cell plate evolving into the new cell wall partitions the cytoplasm of the dividing cell. Cell plate formation involves highly orchestrated vesicle accumulation, fusion, and membrane network maturation supported by the temporary integration of elastic and pliable callose. The small molecule, Endosidin 7 (ES7) arrests late cytokinesis in Arabidopsis by inhibiting callose deposition at the cell plate. Its effect is specific, as it does not broadly affect endomembrane trafficking or cytoskeletal organization. It has emerged as a very valuable tool for dissecting this essential plant process. In order to gain deeper insights regarding its mode of action and the effects of cytokinesis inhibition on overall plant growth, we investigated the effect of ES7 through a nuclear magnetic resonance spectroscopy metabolomics approach. In this case study, profiles of Arabidopsis leaf and root tissues were analyzed at different growth stages and ES7 exposure levels. The results show tissue-specific changes in the plant metabolic profile across a developmental gradient, and the effect that ES7 treatment has on the corresponding metabolome. The ES7 induced profile suggests metabolic compensations in central metabolism pathways in response to cytokinesis inhibition. Further, this study shows that long-term treatment of ES7 disrupts the homeostasis of primary metabolism in Arabidopsis seedlings, likely via alteration of hormonal regulation.

biochemistry↗