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Cheng, H. S.

Publications and source records attributed to Cheng, H. S..

2 recordsLinked to original sources

Bioengineered human tonsil organoids as an immuno-engineering platform for evaluating immune functions

Although animal models remain the preclinical gold standard, they are constrained by interspecies differences in adaptive immunity, including antibody class-switching, affinity maturation, and multicellular interactions. To address this gap, we established a more physiologically relevant platform, a bioengineered tonsil organoid (BTO) system that combines autologous tonsil-derived stromal cells with immune cells to generate highly uniform organoids, preserving multicellular complexity and sustained stromal-immune interactions. BTO cultures mounted robust, antigen-specific recall responses to influenza, tetanus, and COVID-19 antigens. Notably, stimulation with ovalbumin and SARS-CoV-1 spike protein expanded antigen-recognizing B cells, indicating capacity for naive responses. Digital spatial transcriptomics and proteomics analysis confirmed immune-stromal crosstalk underpinning both humoral and cellular responses of BTO after challenge. These data highlight stromal cells as active scaffolds that not only maintain 3D architecture but also facilitate immune activation, memory recall, and recognition of naive antigens. Together, BTO offers a human-relevant model for mechanistic immunology and for pre-clinical evaluation on immunotherapies and vaccines not achievable with 2D cultures or animal models.

bioengineering↗

MegaMASLD: An interactive platform for exploring stratified transcriptomic signatures in MASLD progression

Liver transcriptomic data from patients with metabolic dysfunction-associated steatotic liver disease (MASLD) offers valuable resource for deciphering pathogenic molecular drivers. Here, we performed a Mega-analysis of MASLD Liver Transcriptomes (MegaMASLD) which reanalysed raw RNAseq data of over 800 livers in a standardized and integrative manner, aiming to unravel druggable molecular events in MASLD. Our analysis revealed a progressive transcriptomic shift predominantly associated with immunopathologies during MASLD progression. The differential transcriptomes produced a MASLD gene signature useful for quantitative assessment of MASLD severity but failed to faithfully recapitulate the exact histological staging. Instead, a histologic-independent unsupervised clustering analysis predicted a high-risk group prone to develop metabolic dysfunction-associated steatohepatitis (MASH), characterized by aberrant changes in humoral immune response and antibody repertoires. These findings were supported by another histologic-independent pseudotime analysis, which also identified several potentially targetable molecular switches, including FGFR, PDGFR, PAK, PRKG1 and CAMK kinase families, activated at various transitory phases of MASLD. The robust analysis has enabled risk stratification and deepened our understanding of the dynamic molecular events driving MASLD, thereby offering new options to enhance precision medicine of MASLD. An online web tool featuring MegaMASLD is available at https://bioanalytics-hs.shinyapps.io/MegaMASLD/.

molecular biology↗