Slide-seq: A scalable technology for measuring genome-wide expression at high spatial resolution

Cited by (1,006)

Items 101–200 of 1,006

  1. SpatialDWLS: accurate deconvolution of spatial transcriptomic data
    Rui Dong, Guo‐Cheng Yuan · 2021 · Genome biology
  2. High-throughput and single-cell T cell receptor sequencing technologies
    Joy A. Pai, Ansuman T. Satpathy · 2021 · Nature Methods
  3. Endothelial heterogeneity across distinct vascular beds during homeostasis and inflammation
    Ankit Jambusaria, Zhigang Hong, Lianghui Zhang, Shubhi Srivastava, Arundhati Jana, Péter T. Tóth, Yang Dai, Asrar B. Malik, Jalees Rehman · 2020 · eLife
  4. Explainable multiview framework for dissecting spatial relationships from highly multiplexed data
    2022
  5. Advancing Cancer Research and Medicine with Single-Cell Genomics
    Bora Lim, Yiyun Lin, Nicholas E. Navin · 2020 · Cancer Cell
  6. Spatially resolved transcriptomics reveals the architecture of the tumor-microenvironment interface
    Miranda V. Hunter, Reuben M. Moncada, Joshua M. Weiss, Itai Yanai, Richard Mark White · 2021 · Nature Communications
  7. Role of Vascular Smooth Muscle Cell Plasticity and Interactions in Vessel Wall Inflammation
    Sorokin, Vitaly, Vickneson, Keeran, Kofidis, Theo, Woo, Chin Cheng, Lin, Xiao Yun, Foo, Roger, Shanahan, Catherine M. · 2020 · Frontiers in Immunology
  8. Second-Strand Synthesis-Based Massively Parallel scRNA-Seq Reveals Cellular States and Molecular Features of Human Inflammatory Skin Pathologies
    Travis K. Hughes, Marc H. Wadsworth, Todd M. Gierahn, Tran H. Do, David I. Weiss, Priscila Ribeiro Andrade, Feiyang Ma, Bruno Jorge de Andrade Silva, Shuai Shao, Lam C. Tsoi et al. · 2020 · Immunity
  9. Dissecting the immune suppressive human prostate tumor microenvironment via integrated single-cell and spatial transcriptomic analyses
    Taghreed Hirz, Shenglin Mei, Hirak Sarkar, Youmna Sami Kfoury, Shulin Wu, Bronte Manouk Verhoeven, Alexander O. Subtelny, Dimitar V. Zlatev, Matthew W. Wszolek, Keyan Salari et al. · 2023 · Nature Communications
  10. Barcoded viral tracing of single-cell interactions in central nervous system inflammation
    Clark, Iain C., Gutiérrez-Vázquez, Cristina, Wheeler, Michael A., Li, Zhaorong, Rothhammer, Veit, Linnerbauer, Mathias, Sanmarco, Liliana M., Guo, Lydia, Blain, Manon, Zandee, Stephanie E. J. et al. · 2021 · Science
  11. Applying high-dimensional single-cell technologies to the analysis of cancer immunotherapy
    Gohil, Satyen H., Iorgulescu, J. Bryan, Braun, David A., Keskin, Derin B., Livak, Kenneth J. · 2021 · Nature Reviews Clinical Oncology
  12. BANKSY unifies cell typing and tissue domain segmentation for scalable spatial omics data analysis
    Singhal, Vipul, Chou, Nigel, Lee, Joseph, Yue, Yifei, Liu, Jinyue, Chock, Wan Kee, Lin, Li, Chang, Yun-Ching, Teo, Erica Mei Ling, Aow, Jonathan et al. · 2024 · Nature Genetics
  13. Uncovering an Organ’s Molecular Architecture at Single-Cell Resolution by Spatially Resolved Transcriptomics
    Jie Liao, Xiaoyan Lu, Xin Shao, Ling Zhu, Xiaohui Fan · 2020 · Trends in biotechnology
  14. Integrative Methods and Practical Challenges for Single-Cell Multi-omics
    Anjun Ma, Adam McDermaid, Jennifer Xu, Yuzhou Chang, Qin Ma · 2020 · Trends in biotechnology
  15. DestVI identifies continuums of cell types in spatial transcriptomics data
    Lopez, Romain, Li, Baoguo, Keren-Shaul, Hadas, Boyeau, Pierre, Kedmi, Merav, Pilzer, David, Jelinski, Adam, Yofe, Ido, David, Eyal, Wagner, Allon et al. · 2022 · Nature Biotechnology
  16. Dissecting cellular crosstalk by sequencing physically interacting cells
    Amir Giladi, Merav Cohen, Chiara Medaglia, Yael Baran, Baoguo Li, Mor Zada, Pierre Bost, Ronnie Blecher‐Gonen, Tomer‐Meir Salame, Johannes U. Mayer et al. · 2020 · Nature Biotechnology
  17. Single-cell genomics and spatial transcriptomics: Discovery of novel cell states and cellular interactions in liver physiology and disease biology
    Antonio Saviano, Neil Cowan Henderson, Thomas F. Baumert · 2020 · Journal of Hepatology
  18. Questions and (some) answers on reactive astrocytes
    Escartin, Carole, Guillemaud, Océane, Carrillo‐de Sauvage, Maria‐Angeles · 2019 · Glia
  19. Gene expression cartography
    Mor Nitzan, Nikos Karaiskos, Nir Friedman, Nikolaus Rajewsky · 2019 · Nature
  20. High-Throughput Mapping of Long-Range Neuronal Projection Using In Situ Sequencing
    Xiaoyin Chen, Yu-Chi Sun, Huiqing Zhan, Justus M. Kebschull, Stephan Fischer, Katherine S. Matho, Z. Josh Huang, Jesse Gillis, Anthony M. Zador · 2019 · Cell
  21. Single-cell sequencing techniques from individual to multiomics analyses
    Kashima, Yukie, Sakamoto, Yoshitaka, Kaneko, Keiya, Seki, Masahide, Suzuki, Yutaka, Suzuki, Ayako · 2020 · Experimental & Molecular Medicine
  22. Spatial charting of single-cell transcriptomes in tissues
    Runmin Wei, Siyuan He, Shanshan Bai, Emi Sei, Min Shan Hu, Alastair Mark Thompson, Ken Chen, Savitri Krishnamurthy, Nicholas E. Navin · 2022 · Nature Biotechnology
  23. Spatial genomics enables multi-modal study of clonal heterogeneity in tissues
    Zhao, Tongtong, Chiang, Zachary D., Morriss, Julia W., LaFave, Lindsay M., Murray, Evan M., Del Priore, Isabella, Meli, Kevin, Lareau, Caleb A., Nadaf, Naeem M., Li, Jilong et al. · 2022 · Nature
  24. Hotspot identifies informative gene modules across modalities of single-cell genomics
    DeTomaso, David, Yosef, Nir · 2021 · Cell Systems
  25. Embryo-scale, single-cell spatial transcriptomics
    Sanjay R Srivatsan, Mary C. Regier, Eliza R. Barkan, Jennifer M. Franks, Jonathan S. Packer, Parker Grosjean, Madeleine Duran, Sarah H. Saxton, Jon J. Ladd, Malte Spielmann et al. · 2021 · Science
  26. Determinants of anti-PD-1 response and resistance in clear cell renal cell carcinoma
    Lewis Au, Emine Hatipoglu, Marc Robert de Massy, Kevin Litchfield, Gordon Beattie, Andrew Rowan, Désirée Schnidrig, R. Houston Thompson, Fiona Byrne, Stuart D. Horswell et al. · 2021 · Cancer Cell
  27. Big data in basic and translational cancer research
    Jiang, Peng, Sinha, Sanju, Aldape, Kenneth, Hannenhalli, Sridhar, Sahinalp, Cenk, Ruppin, Eytan · 2022 · Nature Reviews Cancer
  28. SPARK-X: non-parametric modeling enables scalable and robust detection of spatial expression patterns for large spatial transcriptomic studies
    Jiaqiang Zhu, Shiquan Sun, Xiang Zhou · 2021 · Genome biology
  29. Identifying multicellular spatiotemporal organization of cells with SpaceFlow
    Honglei Ren, Benjamin L. Walker, Zixuan Cang, Qing Hua Nie · 2022 · Nature Communications
  30. Single-cell technologies in hepatology: new insights into liver biology and disease pathogenesis
    Ramachandran, Prakash, Matchett, Kylie P., Dobie, Ross, Wilson-Kanamori, John R., Henderson, Neil C. · 2020 · Nature Reviews Gastroenterology & Hepatology
  31. Multi-omics integration in the age of million single-cell data
    Zhen Miao, Benjamin D. Humphreys, Andrew P. McMahon, Junhyong Kim · 2021 · Nature Reviews Nephrology
  32. Fibroblast pathology in inflammatory diseases
    Kevin Wei, Hung N. Nguyen, Michael B. Brenner · 2021 · Journal of Clinical Investigation
  33. A Review of Single-Cell RNA-Seq Annotation, Integration, and Cell–Cell Communication
    Changde Cheng, Wenan Chen, Hongjian Jin, Xiang 'Anthony' Chen · 2023 · Cells
  34. A comprehensive benchmarking with practical guidelines for cellular deconvolution of spatial transcriptomics
    Haoyang Li, Juexiao Zhou, Zhongxiao Li, Siyuan Chen, Xingyu Liao, Bin Zhang, Ruochi Zhang, Yu Wang, Shiwei Sun, Xin Gao · 2023 · Nature Communications
  35. Aging and Rejuvenation of Neural Stem Cells and Their Niches
    Navarro Negredo, Paloma, Yeo, Robin W., Brunet, Anne · 2020 · Cell Stem Cell
  36. Spatiotemporal omics for biology and medicine
    Longqi Liu, Ao Chen, Yuxiang Li, Jan Mulder, Holger Heyn, Xun Xu · 2024 · Cell
  37. The Human Lung Cell Atlas: A High-Resolution Reference Map of the Human Lung in Health and Disease
    Schiller, Herbert B., Montoro, Daniel T., Simon, Lukas M., Rawlins, Emma L., Meyer, Kerstin B., Strunz, Maximilian, Vieira Braga, Felipe A., Timens, Wim, Koppelman, Gerard H., Budinger, G. R. Scott et al. · 2019 · American Journal of Respiratory Cell and Molecular Biology
  38. The molecular cytoarchitecture of the adult mouse brain
    Jonah Langlieb, Nina Sachdev, Karol S. Balderrama, Naeem M. Nadaf, Mukund Raj, Evan M. Murray, James T. Webber, Charles R. Vanderburg, Vahid Gazestani, Daniel Jacob Tward et al. · 2023 · Nature
  39. Advances in spatial transcriptomic data analysis
    Ruben Dries, Jiaji George Chen, Natalie Del Rossi, Mohammed Muzamil Khan, Adriana Sistig, Guo‐Cheng Yuan · 2021 · Genome Research
  40. Spatially aware dimension reduction for spatial transcriptomics
    Lulu Shang, Xiang Zhou · 2022 · Nature Communications
  41. Single-Cell Sequencing of Brain Cell Transcriptomes and Epigenomes
    Armand, Ethan J., Li, Junhao, Xie, Fangming, Luo, Chongyuan, Mukamel, Eran A. · 2021 · Neuron
  42. Modern views of machine learning for precision psychiatry
    Zhe Sage Chen, Prathamesh Kulkarni, Isaac R. Galatzer‐Levy, Benedetta Bigio, Carla Nasca, Yu Zhang · 2022 · Patterns
  43. Spatial multi-omics: deciphering technological landscape of integration of multi-omics and its applications
    Xiaojie Liu, Ting Peng, Miaochun Xu, Shitong Lin, Bai Hu, Tian Chu, Binghan Liu, Yashi Xu, Wencheng Ding, Li Li et al. · 2024 · Journal of Hematology & Oncology
  44. MCMICRO: a scalable, modular image-processing pipeline for multiplexed tissue imaging
    Denis Schapiro, Artem Sokolov, Clarence Yapp, Yu‐An Chen, Jeremy L. Muhlich, Joshua M. Hess, Allison Creason, Ajit J. Nirmal, Gregory J. Baker, Maulik K. Nariya et al. · 2021 · Nature Methods
  45. Predictive Biomarkers for Immunotherapy in Lung Cancer: Perspective From the International Association for the Study of Lung Cancer Pathology Committee
    Mari A. Mino-Kenudson, Kurt Alex Schalper, Wendy A. Cooper, Sanja Đačić, Fred R. Hirsch, Deepali Jain, Fernando López‐Ríos, Ming‐Sound Tsao, Yasushi Yatabe, Mary Beth Beasley et al. · 2022 · Journal of Thoracic Oncology
  46. Single-cell spatial transcriptome reveals cell-type organization in the macaque cortex
    Chen, Ao, Sun, Yidi, Lei, Ying, Li, Chao, Liao, Sha, Meng, Juan, Bai, Yiqin, Liu, Zhen, Liang, Zhifeng, Zhu, Zhiyong et al. · 2023 · Cell
  47. Cell clustering for spatial transcriptomics data with graph neural networks
    Jiachen Li, Siheng Chen, Xiaoyong Pan, Ye Yuan, Hong‐Bin Shen · 2022 · Nature Computational Science
  48. DSTG: deconvoluting spatial transcriptomics data through graph-based artificial intelligence
    Qianqian Song, Jing Su · 2020 · Briefings in Bioinformatics
  49. Harnessing the potential of CAR-T cell therapy: progress, challenges, and future directions in hematological and solid tumor treatments
    Gunjan Dagar, Ashna Gupta, Tariq Masoodi, Sabah Nisar, Maysaloun Merhi, Sheema Hashem, Ravi Chauhan, Manisha Dagar, Sameer Mirza, Puneet Bagga et al. · 2023 · Journal of Translational Medicine
  50. Slide-tags enables single-nucleus barcoding for multimodal spatial genomics
    Russell, Andrew J. C., Weir, Jackson A., Nadaf, Naeem M., Shabet, Matthew, Kumar, Vipin, Kambhampati, Sandeep, Raichur, Ruth, Marrero, Giovanni J., Liu, Sophia, Balderrama, Karol S. et al. · 2024 · Nature
  51. Spatial multi-omics analyses of the tumor immune microenvironment
    Wan-Chen Hsieh, Bugi Ratno Budiarto, Yi‐Fu Wang, Chih‐Yu Lin, Mao-Chun Gwo, Dorothy Kazuno So, Yi-Shiuan Tzeng, Shih-Yu Chen · 2022 · Journal of Biomedical Science
  52. Systematic comparison of sequencing-based spatial transcriptomic methods
    You, Yue, Fu, Yuting, Li, Lanxiang, Zhang, Zhongmin, Jia, Shikai, Lu, Shihong, Ren, Wenle, Liu, Yifang, Xu, Yang, Liu, Xiaojing et al. · 2024 · Nature Methods
  53. Spatial biology of cancer evolution
    Zaira Seferbekova, Artem Lomakin, Lucy R. Yates, Moritz Gerstung · 2022 · Nature Reviews Genetics
  54. Mapping cells through time and space with moscot
    Dominik Klein, Giovanni Palla, Marius Lange, Michal Klein, Zoe Piran, Manuel Gander, Laetitia Meng-Papaxanthos, Michael Sterr, Lama Saber, Changying Jing et al. · 2025 · Nature
  55. Reference-free cell type deconvolution of multi-cellular pixel-resolution spatially resolved transcriptomics data
    Brendan F. Miller, Feiyang Huang, Lyla Atta, Arpan Sahoo, Jean Fan · 2022 · Nature Communications
  56. Clinical and translational values of spatial transcriptomics
    Linlin Zhang, Dongsheng Chen, Dongli Song, Xiaoxia Liu, Yanan Zhang, Xun Xu, Xiangdong Wang · 2022 · Signal Transduction and Targeted Therapy
  57. Glial and myeloid heterogeneity in the brain tumour microenvironment
    Brian M. Andersen, Camilo Faust Akl, Michael A. Wheeler, Ennio Antonio Chiocca, David A. Reardon, Francisco Javier Quintana · 2021 · Nature reviews. Cancer
  58. Spatial genomics maps the structure, nature and evolution of cancer clones
    Artem Lomakin, Jessica Svedlund, Carina Strell, Milana Gatarić, Artem Shmatko, Gleb D. Rukhovich, Jun Sung Park, Young Seok Ju, Stefan C. Dentro, Vitalii Kleshchevnikov et al. · 2022 · Nature
  59. Spatial transcriptomics prediction from histology jointly through Transformer and graph neural networks
    Zeng, Yuansong, Wei, Zhuoyi, Yu, Weijiang, Yin, Rui, Yuan, Yuchen, Li, Bingling, Tang, Zhonghui, Lu, Yutong, Yang, Yuedong · 2022 · Briefings in Bioinformatics
  60. Integrated single-cell analysis-based classification of vascular mononuclear phagocytes in mouse and human atherosclerosis
    Alma Zernecke, Florian Erhard, Tobias Weinberger, Christian Schulz, Klaus F. Ley, Antoine‐Emmanuel Saliba, Clément Cochain · 2022 · Cardiovascular Research
  61. The tumor microenvironment’s role in the response to immune checkpoint blockade
    Konstantinos Aliazis, Anthos Christofides, Rushil Shah, Yao Yu Yeo, Sizun Jiang, Alain Charest, Vassiliki A. Boussiotis · 2025 · Nature Cancer
  62. SpaGE: Spatial Gene Enhancement using scRNA-seq
    Abdelaal, Tamim, Mourragui, Soufiane, Mahfouz, Ahmed, Reinders, Marcel J T · 2020 · Nucleic Acids Research
  63. Knowledge-graph-based cell-cell communication inference for spatially resolved transcriptomic data with SpaTalk
    Xin Shao, Chengyu Li, Haihong Yang, Xiaoyan Lu, Jie Liao, Jingyang Qian, Kai Wang, Junyun Cheng, Penghui Yang, Huajun Chen et al. · 2022 · Nature Communications
  64. The interaction of CD4+ helper T cells with dendritic cells shapes the tumor microenvironment and immune checkpoint blockade response
    Merav Cohen, Amir Giladi, Oren Barboy, Pauline Hamon, Baoguo Li, Mor Zada, Anna Gurevich‐Shapiro, Cristian G. Beccaría, Eyal David, Barbara B. Maier et al. · 2022 · Nature Cancer
  65. The diversity of GABAergic neurons and neural communication elements
    Huang, Z. Josh, Paul, Anirban · 2019 · Nature Reviews Neuroscience
  66. Gene regulatory programmes of tissue regeneration
    Goldman, Joseph A., Poss, Kenneth D. · 2020 · Nature Reviews Genetics
  67. Advances in spatial transcriptomics and related data analysis strategies
    Jun Du, Yuchen Yang, Zhi-Jie An, Minghui Zhang, Xue-Hang Fu, Zoufang Huang, Ye Yuan, Jian Hou · 2023 · Journal of Translational Medicine
  68. The landscape of cell–cell communication through single-cell transcriptomics
    Almet, Axel A., Cang, Zixuan, Jin, Suoqin, Nie, Qing · 2021 · Current Opinion in Systems Biology
  69. SM-Omics is an automated platform for high-throughput spatial multi-omics
    Sanja Vicković, Britta Lötstedt, Johanna Klughammer, Simon Mages, Åsa Segerstolpe, Orit Rozenblatt–Rosen, Aviv Regev · 2022 · Nature Communications
  70. Single-cell sequencing to multi-omics: technologies and applications
    Wu, Xiangyu, Yang, Xin, Dai, Yunhan, Zhao, Zihan, Zhu, Junmeng, Guo, Hongqian, Yang, Rong · 2024 · Biomarker Research
  71. Temporal modelling using single-cell transcriptomics
    Ding, Jun, Sharon, Nadav, Bar-Joseph, Ziv · 2022 · Nature Reviews Genetics
  72. Clinical application of advanced multi-omics tumor profiling: Shaping precision oncology of the future
    Dilara Akhoundova, Mark A. Rubin · 2022 · Cancer Cell
  73. Spatially resolved transcriptomics: a comprehensive review of their technological advances, applications, and challenges
    Mengnan Cheng, Yujia Jiang, Jiangshan Xu, Alexios‐Fotios A. Mentis, Shuai Wang, Huiwen Zheng, Sunil Kumar Sahu, Longqi Liu, Xun Xu · 2023 · Journal of genetics and genomics/Journal of Genetics and Genomics
  74. Decoding the tumor microenvironment with spatial technologies
    Logan A. Walsh, Daniela F. Quail · 2023 · Nature Immunology
  75. Diversity and dynamism in the cerebellum
    Chris I. De Zeeuw, Stephen G. Lisberger, Jennifer L Raymond · 2020 · Nature Neuroscience
  76. Spatially resolved isotope tracing reveals tissue metabolic activity
    Lin Wang, Xi Xing, Xianfeng Zeng, Stona R. Jackson, Tara A. TeSlaa, Osama Al‐Dalahmah, Laith Z. Samarah, Katharine Goodwin, Lifeng Yang, Melanie R. McReynolds et al. · 2022 · Nature Methods
  77. Optimizing Xenium In Situ data utility by quality assessment and best-practice analysis workflows
    Sergio Marco Salas, Louis Benedikt Kuemmerle, Christoffer Mattsson Langseth, Sebastian Tiesmeyer, Christophe Avenel, Taobo Hu, Habib Rehman, Marco Grillo, Paulo Czarnewski, Saga Helgadóttir et al. · 2025 · Nature Methods
  78. Super-resolved spatial transcriptomics by deep data fusion
    Bergenstråhle, Ludvig, He, Bryan, Bergenstråhle, Joseph, Abalo, Xesús, Mirzazadeh, Reza, Thrane, Kim, Ji, Andrew L., Andersson, Alma, Larsson, Ludvig, Stakenborg, Nathalie et al. · 2022 · Nature Biotechnology
  79. Growth Plate Chondrocytes: Skeletal Development, Growth and Beyond
    Shawn A. Hallett, Wanida Ono, Noriaki Ono · 2019 · International Journal of Molecular Sciences
  80. Integration of spatial and single-cell transcriptomics localizes epithelial cell–immune cross-talk in kidney injury
    Ricardo Melo Ferreira, Angela R. Sabo, Seth Winfree, Kimberly S. Collins, Danielle Janosevic, Connor J. Gulbronson, Ying‐Hua Cheng, Lauren Casbon, Daria Barwinska, Michael J. Ferkowicz et al. · 2021 · JCI Insight
  81. High-resolution alignment of single-cell and spatial transcriptomes with CytoSPACE
    Milad Rafiee Vahid, Erin L. Brown, Chloé Beate Steen, Wubing Zhang, Hyun Soo Jeon, Minji Kang, Andrew J. Gentles, Aaron M. Newman · 2023 · Nature Biotechnology
  82. Statistical and machine learning methods for spatially resolved transcriptomics data analysis
    Zeng, Zexian, Li, Yawei, Li, Yiming, Luo, Yuan · 2022 · Genome Biology
  83. A transcriptomic axis predicts state modulation of cortical interneurons
    Stéphane Bugeon, Joshua A. M. Duffield, Mario Dipoppa, Anne Ritoux, Isabelle Prankerd, Dimitris Nicoloutsopoulos, David Orme, Maxwell Shinn, Han Peng, Hamish Forrest et al. · 2022 · Nature
  84. Digital microfluidic isolation of single cells for -Omics
    Julian Lamanna, E. Scott, Harrison S. Edwards, Michael Dean Chamberlain, Michael D. M. Dryden, Jiaxi Peng, Barbara Mair, Adam Lee, Calvin C. H. Chan, Alexandros A. Sklavounos et al. · 2020 · Nature Communications
  85. Liver Zonation – Revisiting Old Questions With New Technologies
    Rory P. Cunningham, Natalie Porat‐Shliom · 2021 · Frontiers in Physiology
  86. Advances in spatial transcriptomics and its applications in cancer research
    Yang Jin, Yuanli Zuo, Gang Li, Wenrong Liu, Yitong Pan, Ting Fan, Xin Fu, Xiaojun Yao, Yong Peng · 2024 · Molecular Cancer
  87. Single-cell and spatial multi-omics in the plant sciences: Technical advances, applications, and perspectives
    Xiaole Yu, Zhixin Liu, Xuwu Sun · 2022 · Plant Communications
  88. BASS: multi-scale and multi-sample analysis enables accurate cell type clustering and spatial domain detection in spatial transcriptomic studies
    Zheng Li, Xiang Zhou · 2022 · Genome biology
  89. The changing mouse embryo transcriptome at whole tissue and single-cell resolution
    Peng He, Brian A. Williams, Diane E. Trout, Georgi K. Marinov, Henry Amrhein, Libera Berghella, Say-Tar Goh, Ingrid Plajzer-Frick, Veena Afzal, Len A. Pennacchio et al. · 2020 · Nature
  90. Shaping the brain vasculature in development and disease in the single-cell era
    Thomas Wälchli, Jeroen Bisschop, Peter Carmeliet, Gelareh Mohammed Zadeh, Philippe Patrick Monnier, Katrien De Bock, Ivan Radovanovic · 2023 · Nature reviews. Neuroscience
  91. Spatiotemporal mapping of gene expression landscapes and developmental trajectories during zebrafish embryogenesis
    Chang Xin Liu, Rui Li, Young Li, Xiumei Lin, Kaichen Zhao, Qun Liu, Shuowen Wang, Xueqian Yang, Xuyang Shi, Yuting Ma et al. · 2022 · Developmental Cell
  92. The Human Cell Atlas from a cell census to a unified foundation model
    Jennifer Rood, Samantha Wynne, Lucia Robson, Anna Hupalowska, John Randell, Sarah Amalia Teichmann, Aviv Regev · 2024 · Nature
  93. Spatial metatranscriptomics resolves host–bacteria–fungi interactomes
    Sami Saarenpää, Or Shalev, Haim Ashkenazy, Vanessa Carlos, Derek S. Lundberg, Detlef Weigel, Stefania Giacomello · 2023 · Nature Biotechnology
  94. Tissue damage induces a conserved stress response that initiates quiescent muscle stem cell activation
    Machado, Léo, Geara, Perla, Camps, Jordi, Dos Santos, Matthieu, Teixeira-Clerc, Fatima, Van Herck, Jens, Varet, Hugo, Legendre, Rachel, Pawlotsky, Jean-Michel, Sampaolesi, Maurilio et al. · 2021 · Cell Stem Cell
  95. A single-cell tumor immune atlas for precision oncology
    Paula Nieto, Marc Elosua-Bayés, Juan L. Trincado, Doménica Marchese, Ramon Massoni-Badosa, Maria Salvany, Ana Raquel Henriques, Juan Camilo Nieto, Sergio Aguilar-Fernández, Elisabetta Mereu et al. · 2021 · Genome Research
  96. Recording development with single cell dynamic lineage tracing
    Aaron McKenna, James A. Gagnon · 2019 · Development
  97. Characterizing spatial gene expression heterogeneity in spatially resolved single-cell transcriptomic data with nonuniform cellular densities
    Brendan F. Miller, Dhananjay Bambah-Mukku, Catherine G. Dulac, Xiaowei Zhuang, Jean Fan · 2021 · Genome Research
  98. Stem cell quiescence: the challenging path to activation
    Noelia Urbán, Tom H. Cheung · 2021 · Development
  99. Deep learning applications in single-cell genomics and transcriptomics data analysis
    Nafiseh Erfanian, A. Ali Heydari, Adib Miraki Feriz, Pablo Iáñez Picazo, Afshin Derakhshani, Mohammad GhasemiGol, Mohsen Farahpour, Seyyed Mohammad Razavi, Saeed Nasseri, Hossein Safarpour et al. · 2023 · Biomedicine & Pharmacotherapy
  100. Advances and prospects for the Human BioMolecular Atlas Program (HuBMAP)
    Sanjay R. Jain, Liming Pei, Jeffrey M. Spraggins, Michael Angelo, James P. Carson, Nils Gehlenborg, Fiona Ginty, Joana P. Gonçalves, James S. Hagood, John W. Hickey et al. · 2023 · Nature Cell Biology