Spatially resolved, highly multiplexed RNA profiling in single cells

Chen, Kok Hao, Boettiger, Alistair N., Moffitt, Jeffrey R., Wang, Siyuan, Zhuang, Xiaowei·2015·Science

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Items 101–125 of 125

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  3. Review of multi-omics data resources and integrative analysis for human brain disorders
    Dong, Xianjun, Liu, Chunyu, Dozmorov, Mikhail · 2021 · Briefings in Functional Genomics
  4. Deep learning in spatial transcriptomics: Learning from the next next-generation sequencing
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  5. Using Single-Cell and Spatial Transcriptomes to Understand Stem Cell Lineage Specification During Early Embryo Development
    Peng, Guangdun, Cui, Guizhong, Ke, Jincan, Jing, Naihe · 2020 · Annual Review of Genomics and Human Genetics
  6. Graph neural networks for single-cell omics data: a review of approaches and applications
    Li, Sijie, Hua, Heyang, Chen, Shengquan · 2025 · Briefings in Bioinformatics
  7. Single-Cell Computational Strategies for Lineage Reconstruction in Tissue Systems
    Herring, Charles A., Chen, Bob, McKinley, Eliot T., Lau, Ken S. · 2018 · Cellular and Molecular Gastroenterology and Hepatology
  8. Advancing biological understanding of cellular senescence with computational multiomics
    Li, Sheng, Agudelo Garcia, Paula A., Aliferis, Constantin, Becich, Michael J., Calyeca, Jazmin, Cosgrove, Benjamin D., Elisseeff, Jennifer, Farzad, Negin, Fertig, Elana J., Glass, Carolyn et al. · 2025 · Nature Genetics
  9. From Designing the Molecules of Life to Designing Life: Future Applications Derived from Advances in DNA Technologies.
    Kohman, Richie E., Kunjapur, Aditya M., Hysolli, Eriona, Wang, Yu, Church, George M. · 2018 · Angewandte Chemie International Edition
  10. Encoding Method of Single-cell Spatial Transcriptomics Sequencing
    Zhou, Ying, Jia, Erteng, Pan, Min, Zhao, Xiangwei, Ge, Qinyu · 2020 · International Journal of Biological Sciences
  11. Advancing insights into stem cell niche complexities with next-generation technologies
    Heitman, Nicholas, Saxena, Nivedita, Rendl, Michael · 2018 · Current Opinion in Cell Biology
  12. A community-based transcriptomics classification and nomenclature of neocortical cell types
    Yuste, Rafael, Hawrylycz, Michael, Aalling, Nadia, Aguilar-Valles, Argel, Arendt, Detlev, Armañanzas, Ruben, Ascoli, Giorgio A., Bielza, Concha, Bokharaie, Vahid, Bergmann, Tobias Borgtoft et al. · 2020 · Nature Neuroscience
  13. From tissue architecture to clinical insights: Spatial transcriptomics in solid tumor studies
    Sharma, Arpit, Raut, Shruti S., Shukla, Alok, Gupta, Shivani, Mishra, Abha, Singh, Amit · 2025 · Seminars in Oncology
  14. BART-Seq: cost-effective massively parallelized targeted sequencing for genomics, transcriptomics, and single-cell analysis
    Uzbas, Fatma, Opperer, Florian, Sönmezer, Can, Shaposhnikov, Dmitry, Sass, Steffen, Krendl, Christian, Angerer, Philipp, Theis, Fabian J., Mueller, Nikola S., Drukker, Micha · 2019 · Genome Biology
  15. Decoding cell type diversity within the spinal cord
    Dobrott, Courtney I, Sathyamurthy, Anupama, Levine, Ariel J · 2019 · Current Opinion in Physiology
  16. Belayer: Modeling discrete and continuous spatial variation in gene expression from spatially resolved transcriptomics
    Ma, Cong, Chitra, Uthsav, Zhang, Shirley, Raphael, Benjamin J. · 2022 · Cell Systems
  17. Spatial transcriptome sequencing of FFPE tissues at cellular level
    Liu, Yang, Enninful, Archibald, Deng, Yanxiang, Fan, Rong · 2020
  18. Simultaneous CRISPR screening and spatial transcriptomics reveals intracellular, intercellular, and functional transcriptional circuits
    Binan, Loϊc, Danquah, Serwah, Valakh, Vera, Simonton, Brooke, Bezney, Jon, Nehme, Ralda, Cleary, Brian, Farhi, Samouil L · 2023
  19. StabMap: Mosaic single cell data integration using non-overlapping features
    Ghazanfar, Shila, Guibentif, Carolina, Marioni, John C. · 2022
  20. CRISPRmap: Sequencing-free optical pooled screens mapping multi-omic phenotypes in cells and tissue
    Gu, Jiacheng, Iyer, Abhishek, Wesley, Ben, Taglialatela, Angelo, Leuzzi, Giuseppe, Hangai, Sho, Decker, Aubrianna, Gu, Ruoyu, Klickstein, Naomi, Shuai, Yuanlong et al. · 2023
  21. Multiplexed spatial transcriptomics methods and the application of expansion microscopy
    Fortner, Andra, Bucur, Octavian · 2024 · Frontiers in Cell and Developmental Biology
  22. Interpretable representation learning for 3D multi-piece intracellular structures using point clouds
    Vasan, Ritvik, Ferrante, Alexandra J., Borensztejn, Antoine, Frick, Christopher L., Garrison, Philip, Gaudreault, Nathalie, Mogre, Saurabh S., Mohammed, Fatwir S., Morris, Benjamin, Pires, Guilherme G. et al. · 2025 · Nature Methods
  23. Research progress on immunotherapeutics for triple-negative breast cancer from a single-cell perspective
    Yuan, Zixuan, Liu, Zhiwei, Zhou, Mengying, Wen, Huijuan, Li, Bei · 2026 · Critical Reviews in Oncology/Hematology
  24. MCGAE: unraveling tumor invasion through integrated multimodal spatial transcriptomics
    Yang, Yiwen, Zhang, Chengming, Liu, Zhaonan, Aihara, Kazuyuki, Zhang, Chuanchao, Chen, Luonan, Wei, Wu · 2024 · Briefings in Bioinformatics
  25. A specific olfactory bulb interneuron subtype Tpbg/5T4 generated at embryonic and neonatal stages
    Tsuboi, Akio · 2024 · Frontiers in Neural Circuits