11 papers · ranked by Valyu relevance
Cameron G. Williams, Hyun Jae Lee, Takahiro Asatsuma, Roser Vento-Tormo + 1 more
'Roser Vento-Tormo' 'Ashraful Haque'] Single-cell transcriptomics (scRNA-seq) has become essential for biomedical research over the past decade, particularly in developmental biology, cancer, immunology, and neuroscience. Most commercially available scRNA-seq protocols require cells to be recovered intact and viable…
Jun Du, Yu-Chen Yang, Zhi-Jie An, Ming-Hui Zhang + 4 more
'Zou-Fang Huang' 'Ye Yuan' 'Jian Hou'] Spatial transcriptomics technologies developed in recent years can provide various information including tissue heterogeneity, which is fundamental in biological and medical research, and have been making significant breakthroughs. Single-cell RNA sequencing (scRNA-seq) cannot…
Benjamin L. Walker, Zixuan Cang, Honglei Ren, Eric Bourgain-Chang + 1 more
'Qing Nie'] The rapid development of spatial transcriptomics (ST) techniques has allowed the measurement of transcriptional levels across many genes together with the spatial positions of cells. This has led to an explosion of interest in computational methods and techniques for harnessing both spatial and…
Zhiwei Fan, Yangyang Luo, Huifen Lu, Tiangang Wang + 4 more
'Weiling Zhao' 'Pora Kim' 'Xiaobo Zhou'] Title: Abstract In recent years, the explosive growth of spatial technologies has enabled the characterization of spatial heterogeneity of tissue architectures. Compared to traditional sequencing, spatial transcriptomics reserves the spatial information of each captured location…
Yang Jin, Yuanli Zuo, Gang Li, Wenrong Liu + 5 more
'Xin Fu' 'Xiaojun Yao' 'Yong Peng'] Malignant tumors have increasing morbidity and high mortality, and their occurrence and development is a complicate process. The development of sequencing technologies enabled us to gain a better understanding of the underlying genetic and molecular mechanisms in tumors. In recent…
Dongshan Ya, Yingmei Zhang, Qi Cui, Yanlin Jiang + 6 more
'Ning Tian' 'Wenjing Xiang' 'Xiaohui Lin' 'Qinghua Li' 'Rujia Liao'] Spatial transcriptome technology acquires gene expression profiles while retaining spatial location information, it displays the gene expression properties of cells in situ. Through the investigation of cell heterogeneity, microenvironment, function…
Braulio Valdebenito-Maturana, Cristina Guatimosim, Mónica Alejandra Carrasco, Juan Carlos Tapia + 2 more
'Mónica Alejandra Carrasco' 'Juan Carlos Tapia' 'Benoît Chénais' 'Frank M. You'] Spatial transcriptomics (ST) is transforming the way we can study gene expression and its regulation through position-specific resolution within tissues. However, as in bulk RNA-Seq, transposable elements (TEs) are not being studied due to…
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Desorption Electrospray Ionization Mass Spectrometry Imaging (DESI-MSI) is a powerful technique for molecular analysis of surfaces; however, its application of single cell studies has not been previously published. In the current work, a commercial DESI setup (DESI XS) coupled to a mass spectrometer was used to analyze…
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Understanding how plants respond to dynamic and spatially variable stimuli is a key goal in plant sciences. Traditional imaging methods often involve a trade-off between environmental control and spatial resolution, limiting their ability to capture real-time responses in high resolution. Microfluidic technology…
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The WRN helicase has recently emerged as a promising therapeutic target for microsatellite instability (MSI)-high cancers. Here, we report LXW-P1, a potent WRN degrader derived from marine bromotyrosine alkaloids. Its molecular target was identified using an AI-guided, pathway-informed perturbation transcriptomics…
Juerg Straubhaar, Alexandria D’Souza, Zachary Niziolek, Bogdan Budnik
Single-cell analysis has clearly established itself in biology and biomedical fields as an invaluable tool that allows one to comprehensively understand the relationship between cells, including their types, states, transitions, trajectories, and spatial position. Scientific methods such as fluorescence labeling…