Yuanhua Huang

Jul 9, 2024 | biorxiv.org | Yuanhua Huang

AbstractClone assignment in single-cell genomics remains a challenge due to its diverse mutation macrostructures and many missing signals. Existing statistical methods, for the sake of numerical convergence, pose strong constraints on the form of predicted mutation patterns, so they easily identify sub-optimally fitted clones that overlook weak and rare mutations.

Jun 5, 2024 | nature.com | Gang Wang |Zhihong Liu |Yuanhua Huang

Correction to: Nature Communications https://doi.org/10.1038/s41467-024-48282-5, published online 10 May 2024In this article, Chen Cheng and Gang Wang should have been denoted as equally contributing authors. The original article has been corrected.

May 9, 2024 | nature.com | Gang Wang |Zhihong Liu |Yuanhua Huang

AbstractDisease modeling with isogenic Induced Pluripotent Stem Cell (iPSC)-differentiated organoids serves as a powerful technique for studying disease mechanisms. Multiplexed coculture is crucial to mitigate batch effects when studying the genetic effects of disease-causing variants in differentiated iPSCs or organoids, and demultiplexing at the single-cell level can be conveniently achieved by assessing natural genetic barcodes.

Jun 1, 2023 | nature.com | Yuanhua Huang |Yiming Chao

Dear Editor,The cell-cell interactions are fundamental mechanisms of differentiating embryonic tissues.1 We aimed to model human embryonic development in stem-cell-derived organoids. We exploited the time series single-cell and spatial transcriptomics to reveal the gene expression landscape in the development of embryonic tissues and their interactions.