Qing Nie

Oct 9, 2024 | nature.com | Mengting Chen |Peijie Zhou |Suoqin Jin |Mei Wang |Qing Nie |Ben Wang | +1 more

AbstractRosacea is a chronic inflammatory skin disorder, whose underlying cellular and molecular mechanisms remain obscure. Here, we generate a single-cell atlas of facial skin from female rosacea patients and healthy individuals. Among keratinocytes, a subpopulation characterized by IFNγ-mediated barrier function damage is found to be unique to rosacea lesions. Blocking IFNγ signaling alleviates rosacea-like phenotypes and skin barrier damage in mice.

Sep 17, 2024 | nature.com | Suoqin Jin |Maksim V. Plikus |Qing Nie

AbstractRecent advances in single-cell sequencing technologies offer an opportunity to explore cell–cell communication in tissues systematically and with reduced bias. A key challenge is integrating known molecular interactions and measurements into a framework to identify and analyze complex cell–cell communication networks.

Aug 22, 2024 | nature.com | Qing Nie |Fabian J. Theis

AbstractOver the last decade, biology has begun utilizing ‘big data’ approaches, resulting in large, comprehensive atlases in modalities ranging from transcriptomics to neural connectomics. However, these approaches must be complemented and integrated with ‘small data’ approaches to efficiently utilize data from individual labs.

Nov 5, 2023 | biorxiv.org | Suoqin Jin |Maksim V. Plikus |Qing Nie

AbstractRecent advances in single-cell sequencing technologies offer an opportunity to explore cell-cell communication in tissues systematically and with reduced bias. A key challenge is the integration between known molecular interactions and measurements into a framework to identify and analyze complex cell-cell communication networks.

Oct 17, 2023 | nature.com | Benjamin Walker |Qing Nie

AbstractSpatial gene expression in tissue is characterized by regions in which particular genes are enriched or depleted. Frequently, these regions contain nested inside them subregions with distinct expression patterns. Segmentation methods in spatial transcriptomic (ST) data extract disjoint regions maximizing similarity over the greatest number of genes, typically on a particular spatial scale, thus lacking the ability to find region-within-region structure.