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Jan 24, 2025 | 
nature.com | Kyle Coleman |Jeong Hwan Park |Hanying Yan |Isabel Barnfather |Joshua D. Rabinowitz |Yanxiang Deng | +5 more
Correction to: Nature Methods https://doi.org/10.1038/s41592-024-02574-2, published online 15 January 2025. In the version of the article initially published, the Data availability and Code availability sections were inadvertently omitted. These sections have now been included in the HTML and PDF versions of the article. About this articleColeman, K., Schroeder, A., Loth, M. et al. Author Correction: Resolving tissue complexity by multimodal spatial omics modeling with MISO. Nat Methods (2025).
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Jan 15, 2025 | 
nature.com | Kyle Coleman |Jeong Hwan Park |Hanying Yan |Joshua D. Rabinowitz |Yanxiang Deng |Edward Lee | +5 more
AbstractSpatial molecular profiling has provided biomedical researchers valuable opportunities to better understand the relationship between cellular localization and tissue function. Effectively modeling multimodal spatial omics data is crucial for understanding tissue complexity and underlying biology.
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Oct 14, 2024 | 
digitalcommons.library.tmc.edu | Jian Hu
Home > UTHealth > GSBS > Student and Faculty Publications > 1848 Student and Faculty Publications Journal of Experimental Medicine Humans, Neoplasms, Mental Fatigue, Cognitive Dysfunction, Disease Progression DOWNLOADS Included in Bioinformatics Commons, Biomedical Informatics Commons, Medical Sciences Commons, Oncology Commons COinS...
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Jul 26, 2024 | 
nature.com | Jian Hu
AbstractThere is no consensus about whether relatively large mediastinal tumors (≥ 5.0 cm) are suitable for video-assisted thoracoscopic surgery (VATS). Therefore, this study aimed to compare the efficacy and safety of intercostal approach VATS for large-sized anterior mediastinal tumors (5.0–10.0 cm) with no invasion to the surrounding tissues and organs.
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Jan 2, 2024 | 00450-3&sz=64)
cell.com | Yinghong Zhu |Xingxing Jian |Shuping Chen |Duanfeng Jiang |Qin Yang |Jingyu Zhang | +15 more
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Oct 7, 2023 | 
biorxiv.org | Jiahui Jiang |Linghua Wang |Jian Hu
AbstractThe recent advance of spatial transcriptomics (ST) technique provides valuable insights into the organization and interactions of cells within the tumor microenvironment (TME). While various analytical tools have been developed for tasks such as spatial clustering, spatially variable gene identification, and cell type deconvolution, most of them are general methods lacking consideration of histological features in spatial data analysis.
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Sep 17, 2023 | 
paperity.org | Ke Zhang |Jian Hu |Ziyi Zhao
PLOS ONE, Jul 2023 Background Cancer relapse is associated with the presence of cancer stem-like cells (CSCs), which lead to multidirectional differentiation and unrestricted proliferative replication. Fumagillin, a myocotoxin produced by the saprophytic filamentous fungus Aspergillus fumigatus, has been reported to affect malignant characteristics in hepatocellular cancer cells. However, its exact role in CSCs is still unknown.
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Jul 28, 2023 | 
journals.plos.org | Ke Zhang |Jian Hu |Ziyi Zhao
Loading metrics Open Access Peer-reviewedResearch Article AbstractBackgroundCancer relapse is associated with the presence of cancer stem-like cells (CSCs), which lead to multidirectional differentiation and unrestricted proliferative replication. Fumagillin, a myocotoxin produced by the saprophytic filamentous fungus Aspergillus fumigatus, has been reported to affect malignant characteristics in hepatocellular cancer cells. However, its exact role in CSCs is still unknown.
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May 15, 2023 | 
mdpi.com | Lei Zhu |Jian Hu |Ruiqi Li |Chang Liu
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Apr 7, 2023 | 
nature.com | Kyle Coleman |Jian Hu
AbstractSpatially resolved transcriptomics (SRT) has advanced our understanding of the spatial patterns of gene expression, but the lack of single-cell resolution in spatial barcoding-based SRT hinders the inference of specific locations of individual cells. To determine the spatial distribution of cell types in SRT, we present SpaDecon, a semi-supervised learning approach that incorporates gene expression, spatial location, and histology information for cell-type deconvolution.
