Zeitschriftenartikel zum Thema „Spatial transcriptomic“
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Li, Youcheng, Leann Lac, Qian Liu und Pingzhao Hu. „ST-CellSeg: Cell segmentation for imaging-based spatial transcriptomics using multi-scale manifold learning“. PLOS Computational Biology 20, Nr. 6 (27.06.2024): e1012254. http://dx.doi.org/10.1371/journal.pcbi.1012254.
Der volle Inhalt der QuelleChen, Tsai-Ying, Li You, Jose Angelito U. Hardillo und Miao-Ping Chien. „Spatial Transcriptomic Technologies“. Cells 12, Nr. 16 (10.08.2023): 2042. http://dx.doi.org/10.3390/cells12162042.
Der volle Inhalt der QuelleLv, Zhuo, Shuaijun Jiang, Shuxin Kong, Xu Zhang, Jiahui Yue, Wanqi Zhao, Long Li und Shuyan Lin. „Advances in Single-Cell Transcriptome Sequencing and Spatial Transcriptome Sequencing in Plants“. Plants 13, Nr. 12 (18.06.2024): 1679. http://dx.doi.org/10.3390/plants13121679.
Der volle Inhalt der QuelleGorbunova, Vera. „COMPARATIVE TRANSCRIPTOMIC OF LONGEVITY“. Innovation in Aging 7, Supplement_1 (01.12.2023): 432. http://dx.doi.org/10.1093/geroni/igad104.1423.
Der volle Inhalt der QuelleCallaway, Edward M., Hong-Wei Dong, Joseph R. Ecker, Michael J. Hawrylycz, Z. Josh Huang, Ed S. Lein, John Ngai et al. „A multimodal cell census and atlas of the mammalian primary motor cortex“. Nature 598, Nr. 7879 (06.10.2021): 86–102. http://dx.doi.org/10.1038/s41586-021-03950-0.
Der volle Inhalt der QuelleAdabbo, Bruno, Simona Migliozzi, Luciano Garofano, Young Taek Oh, Sakir H. Gultekin, Fulvio D'Angelo, Evan R. Roberts et al. „EPCO-27. RECONSTRUCTION OF THE SPATIAL ECOSYSTEM OF GLIOBLASTOMA REVEALS RECURRENT RELATIONSHIPS BETWEEN TUMOR CELL STATES AND TUMOR MICROENVIRONMENT“. Neuro-Oncology 25, Supplement_5 (01.11.2023): v129. http://dx.doi.org/10.1093/neuonc/noad179.0490.
Der volle Inhalt der QuelleHe, Jiang, Bin Wang, Justin He, Renchao Chen, Benjamin Patterson, Sudhir Tattikota, Timothy Wiggin et al. „Abstract LB333: Improved spatially resolved single-cell transcriptomic imaging in archival tissues with MERSCOPE“. Cancer Research 84, Nr. 7_Supplement (05.04.2024): LB333. http://dx.doi.org/10.1158/1538-7445.am2024-lb333.
Der volle Inhalt der QuelleJiang, Peng. „Abstract IA002: Inference of intercellular signaling activities in tumor spatial and single-cell transcriptomics, with applications in identifying cancer immunotherapy targets“. Molecular Cancer Therapeutics 22, Nr. 12_Supplement (01.12.2023): IA002. http://dx.doi.org/10.1158/1535-7163.targ-23-ia002.
Der volle Inhalt der QuelleAli, Abdullah Mahmood, und Azra Raza. „scRNAseq and High-Throughput Spatial Analysis of Tumor and Normal Microenvironment in Solid Tumors Reveal a Possible Origin of Circulating Tumor Hybrid Cells“. Cancers 16, Nr. 7 (08.04.2024): 1444. http://dx.doi.org/10.3390/cancers16071444.
Der volle Inhalt der QuelleHe, Jiang, Justin He, Timothy Wiggin, Rob Foreman, Renchao Chen, Nicolas Fernandez und George Emanuel. „Abstract 4195: Spatially resolved single cell transcriptomic profiling in formalin-fixed paraffin-embedded (FFPE) tissues“. Cancer Research 83, Nr. 7_Supplement (04.04.2023): 4195. http://dx.doi.org/10.1158/1538-7445.am2023-4195.
Der volle Inhalt der QuelleShengquan, Chen, Zhang Boheng, Chen Xiaoyang, Zhang Xuegong und Jiang Rui. „stPlus: a reference-based method for the accurate enhancement of spatial transcriptomics“. Bioinformatics 37, Supplement_1 (01.07.2021): i299—i307. http://dx.doi.org/10.1093/bioinformatics/btab298.
Der volle Inhalt der QuelleLee, Youjin, Derek Bogdanoff, Yutong Wang, George C. Hartoularos, Jonathan M. Woo, Cody T. Mowery, Hunter M. Nisonoff et al. „XYZeq: Spatially resolved single-cell RNA sequencing reveals expression heterogeneity in the tumor microenvironment“. Science Advances 7, Nr. 17 (April 2021): eabg4755. http://dx.doi.org/10.1126/sciadv.abg4755.
Der volle Inhalt der QuelleGupta, Anushka, Stephen Williams, Lauren Gutgasell, Benton Veire, Ace Santiago, Hardeep Singh, Rena Chan et al. „Spatially resolved whole-transcriptome analysis with simultaneous highly multiplexed immune cell epitope detection in multiple cancer tissues“. Journal of Immunology 210, Nr. 1_Supplement (01.05.2023): 251.04. http://dx.doi.org/10.4049/jimmunol.210.supp.251.04.
Der volle Inhalt der QuelleYin, Yifeng, Jerald Sapida, David Sukovich, David Patterson und Augusto Tentori. „Abstract 3645: Unraveling spatial complexity of the tumor microenvironment: A whole transcriptomic perspective with Visium HD“. Cancer Research 84, Nr. 6_Supplement (22.03.2024): 3645. http://dx.doi.org/10.1158/1538-7445.am2024-3645.
Der volle Inhalt der QuelleDuan, Hao, Qingchen Zhang, Feifei Cui, Quan Zou und Zilong Zhang. „MVST: Identifying spatial domains of spatial transcriptomes from multiple views using multi-view graph convolutional networks“. PLOS Computational Biology 20, Nr. 9 (05.09.2024): e1012409. http://dx.doi.org/10.1371/journal.pcbi.1012409.
Der volle Inhalt der QuelleBae, Sungwoo, Hongyoon Choi und Dong Soo Lee. „Discovery of molecular features underlying the morphological landscape by integrating spatial transcriptomic data with deep features of tissue images“. Nucleic Acids Research 49, Nr. 10 (22.02.2021): e55-e55. http://dx.doi.org/10.1093/nar/gkab095.
Der volle Inhalt der QuelleLein, Ed, Lars E. Borm und Sten Linnarsson. „The promise of spatial transcriptomics for neuroscience in the era of molecular cell typing“. Science 358, Nr. 6359 (05.10.2017): 64–69. http://dx.doi.org/10.1126/science.aan6827.
Der volle Inhalt der QuelleNoronha, Katelyn J., Jennifer M. Garbarino, Daniel Massucci, Abigail R. Tyree und Colin Ng. „Abstract 4407: Simultaneous spatial epigenomic and transcriptomic analysis of gastric adenocarcinoma reveals regulatory patterns governing tumor and microenvironment architecture at the cellular level“. Cancer Research 84, Nr. 6_Supplement (22.03.2024): 4407. http://dx.doi.org/10.1158/1538-7445.am2024-4407.
Der volle Inhalt der QuelleJiang, Rui, Zhen Li, Yuhang Jia, Siyu Li und Shengquan Chen. „SINFONIA: Scalable Identification of Spatially Variable Genes for Deciphering Spatial Domains“. Cells 12, Nr. 4 (13.02.2023): 604. http://dx.doi.org/10.3390/cells12040604.
Der volle Inhalt der QuelleSaqib, Jahanzeb, Beomsu Park, Yunjung Jin, Junseo Seo, Jaewoo Mo und Junil Kim. „Identification of Niche-Specific Gene Signatures between Malignant Tumor Microenvironments by Integrating Single Cell and Spatial Transcriptomics Data“. Genes 14, Nr. 11 (31.10.2023): 2033. http://dx.doi.org/10.3390/genes14112033.
Der volle Inhalt der QuelleLi, Zhuliu, Tianci Song, Jeongsik Yong und Rui Kuang. „Imputation of spatially-resolved transcriptomes by graph-regularized tensor completion“. PLOS Computational Biology 17, Nr. 4 (07.04.2021): e1008218. http://dx.doi.org/10.1371/journal.pcbi.1008218.
Der volle Inhalt der QuelleDries, Ruben, Jiaji Chen, Natalie del Rossi, Mohammed Muzamil Khan, Adriana Sistig und Guo-Cheng Yuan. „Advances in spatial transcriptomic data analysis“. Genome Research 31, Nr. 10 (Oktober 2021): 1706–18. http://dx.doi.org/10.1101/gr.275224.121.
Der volle Inhalt der QuelleMirchia, Kanish, Soo-Jin Cho, Alyssa T. Reddy, Line Jacques, Melike Pekmezci, Arie Perry, David Raleigh und Harish Vasudevan. „EPCO-04. SPATIAL TRANSCRIPTOMIC ANALYSIS OF MALIGNANT PERIPHERAL NERVE SHEATH TUMORS REVEALS THERAPEUTICALLY TARGETABLE MOLECULAR SIGNATURES IN REGIONS UNDERGOING HISTOPATHOLOGIC TRANSFORMATION“. Neuro-Oncology 25, Supplement_5 (01.11.2023): v124. http://dx.doi.org/10.1093/neuonc/noad179.0469.
Der volle Inhalt der QuelleNesterenko, Maksim, und Aleksei Miroliubov. „From head to rootlet: comparative transcriptomic analysis of a rhizocephalan barnacle Peltogaster reticulata (Crustacea: Rhizocephala)“. F1000Research 11 (27.05.2022): 583. http://dx.doi.org/10.12688/f1000research.110492.1.
Der volle Inhalt der QuelleNesterenko, Maksim, und Aleksei Miroliubov. „From head to rootlet: comparative transcriptomic analysis of a rhizocephalan barnacle Peltogaster reticulata (Crustacea: Rhizocephala)“. F1000Research 11 (09.01.2023): 583. http://dx.doi.org/10.12688/f1000research.110492.2.
Der volle Inhalt der QuelleRitter, M., C. Blume, B. Patel, Y. Tang, A. Patel, N. Berghaus, Z. Seferbekova et al. „OS10.8.A APPLICATIONS OF NOVEL FFPE BASED TECHNOLOGIES FOR THE DIAGNOSTICS OF GLIOMAS“. Neuro-Oncology 25, Supplement_2 (01.09.2023): ii23. http://dx.doi.org/10.1093/neuonc/noad137.068.
Der volle Inhalt der QuelleLee, Amos C., Sumin Lee und Sunghoon Kwon. „Abstract 6781: Spatial omics using spatially-resolved laser-activated cell sorting for cancer biomarker discovery“. Cancer Research 83, Nr. 7_Supplement (04.04.2023): 6781. http://dx.doi.org/10.1158/1538-7445.am2023-6781.
Der volle Inhalt der QuelleWood, Colin Stuart, Joao Da Silva Filho, Andrew Cameron, Assya Legrini, Holly Leslie, Tengyu Zhang, Yoana Doncheva et al. „Abstract 5072: Multi-omic, multi-scale characterisation of colorectal cancer defines spatiotemporal patterns of recurrence“. Cancer Research 84, Nr. 6_Supplement (22.03.2024): 5072. http://dx.doi.org/10.1158/1538-7445.am2024-5072.
Der volle Inhalt der QuelleJamshidi, Raehannah, Lyra Griffiths, Rich Johnston, Vaunita Parihar, Frank Schneider und Adam Marcus. „Abstract 1153: Using spatial transcriptomics to dissect cell to cell cooperation in lung adenocarcinoma“. Cancer Research 84, Nr. 6_Supplement (22.03.2024): 1153. http://dx.doi.org/10.1158/1538-7445.am2024-1153.
Der volle Inhalt der QuelleMisra, Adwiteeya, Cameron D. Baker, Elizabeth M. Pritchett, Kimberly N. Burgos Villar, John M. Ashton und Eric M. Small. „Characterizing Neonatal Heart Maturation, Regeneration, and Scar Resolution Using Spatial Transcriptomics“. Journal of Cardiovascular Development and Disease 9, Nr. 1 (21.12.2021): 1. http://dx.doi.org/10.3390/jcdd9010001.
Der volle Inhalt der QuelleMirchia, Kanish, Abrar Choudhury, Tara Joseph, Janeth Ochoa Birrueta, Joanna Phillips, Aparna Bhaduri, Elizabeth Crouch, Arie Perry und David Raleigh. „EPCO-48. THE SINGLE-CELL AND SPATIAL TRANSCRIPTOMIC ARCHITECTURE OF MENINGEAL SOLITARY FIBROUS TUMORS PHENOCOPIES CEREBRAL VASCULAR DEVELOPMENT AND HOMEOSTASIS“. Neuro-Oncology 25, Supplement_5 (01.11.2023): v135. http://dx.doi.org/10.1093/neuonc/noad179.0510.
Der volle Inhalt der QuelleWu, Yuesong, Aoqi Xie, Ian Loveless, Madison George, Kendyll Gartrelle, Julie Clark, Daniel Salas-Escabillas et al. „Abstract C107: Use of spatial transcriptomics to identify molecular features associated with African American heritage in pancreatic cancer“. Cancer Research 84, Nr. 2_Supplement (16.01.2024): C107. http://dx.doi.org/10.1158/1538-7445.panca2023-c107.
Der volle Inhalt der QuelleAkilesh, Shreeram, Kammi J. Henriksen, Roberto F. Nicosia, Charles E. Alpers und Kelly D. Smith. „Spatial Transcriptomic Profiling of Collapsing Glomerulopathy“. Journal of the American Society of Nephrology 32, Nr. 10S (Oktober 2021): 519. http://dx.doi.org/10.1681/asn.20213210s1519a.
Der volle Inhalt der QuelleChoe, Kyongho, Unil Pak, Yu Pang, Wanjun Hao und Xiuqin Yang. „Advances and Challenges in Spatial Transcriptomics for Developmental Biology“. Biomolecules 13, Nr. 1 (12.01.2023): 156. http://dx.doi.org/10.3390/biom13010156.
Der volle Inhalt der QuelleJeon, Hyeongseon, Juan Xie, Yeseul Jeon, Kyeong Joo Jung, Arkobrato Gupta, Won Chang und Dongjun Chung. „Statistical Power Analysis for Designing Bulk, Single-Cell, and Spatial Transcriptomics Experiments: Review, Tutorial, and Perspectives“. Biomolecules 13, Nr. 2 (24.01.2023): 221. http://dx.doi.org/10.3390/biom13020221.
Der volle Inhalt der QuelleWu, Zhichao, Karen Dazelle, Hye-Jung Chung und Kenneth Aldape. „TMIC-25. SPATIAL TRANSCRIPTOMIC LANDSCAPE OF DIFFUSE GLIOMA“. Neuro-Oncology 24, Supplement_7 (01.11.2022): vii276—vii277. http://dx.doi.org/10.1093/neuonc/noac209.1069.
Der volle Inhalt der QuelleWilliams, Cameron Gerard, Jessica A. Engel, Megan S. F. Soon, Evan Murray, Fei Chen und Ashraful Haque. „Studying lymphocyte differentiation in the spleen via spatial transcriptomics“. Journal of Immunology 206, Nr. 1_Supplement (01.05.2021): 98.55. http://dx.doi.org/10.4049/jimmunol.206.supp.98.55.
Der volle Inhalt der Quelleda Costa, André Luiz N. Targino, Jingxian Liu, Chia-Kuei Mo, Erik Storrs, Austin N. Southard-Smith, Reyka G. Jayasinghe, Julia T. Wang et al. „Abstract 2341: Morph: A feature extraction toolset for spatial transcriptomics“. Cancer Research 84, Nr. 6_Supplement (22.03.2024): 2341. http://dx.doi.org/10.1158/1538-7445.am2024-2341.
Der volle Inhalt der QuelleChen, Ce, Yining Ge und Lingli Lu. „Opportunities and challenges in the application of single-cell and spatial transcriptomics in plants“. Frontiers in Plant Science 14 (11.08.2023). http://dx.doi.org/10.3389/fpls.2023.1185377.
Der volle Inhalt der QuelleShao, Xin, Chengyu Li, Haihong Yang, Xiaoyan Lu, Jie Liao, Jingyang Qian, Kai Wang et al. „Knowledge-graph-based cell-cell communication inference for spatially resolved transcriptomic data with SpaTalk“. Nature Communications 13, Nr. 1 (30.07.2022). http://dx.doi.org/10.1038/s41467-022-32111-8.
Der volle Inhalt der QuelleShang, Lulu, und Xiang Zhou. „Spatially aware dimension reduction for spatial transcriptomics“. Nature Communications 13, Nr. 1 (23.11.2022). http://dx.doi.org/10.1038/s41467-022-34879-1.
Der volle Inhalt der QuelleDanan, Charles H., Kay Katada, Louis R. Parham und Kathryn E. Hamilton. „Spatial transcriptomics add a new dimension to our understanding of the gut“. American Journal of Physiology-Gastrointestinal and Liver Physiology, 06.12.2022. http://dx.doi.org/10.1152/ajpgi.00191.2022.
Der volle Inhalt der QuelleRocque, Brittany, Kate Guion, Pranay Singh, Sarah Bangerth, Lauren Pickard, Jashdeep Bhattacharjee, Sofia Eguizabal et al. „Technical optimization of spatially resolved single-cell transcriptomic datasets to study clinical liver disease“. Scientific Reports 14, Nr. 1 (13.02.2024). http://dx.doi.org/10.1038/s41598-024-53993-2.
Der volle Inhalt der QuellePont, Frédéric, Juan Pablo Cerapio, Pauline Gravelle, Laetitia Ligat, Carine Valle, Emeline Sarot, Marion Perrier et al. „Single-cell spatial explorer: easy exploration of spatial and multimodal transcriptomics“. BMC Bioinformatics 24, Nr. 1 (27.01.2023). http://dx.doi.org/10.1186/s12859-023-05150-1.
Der volle Inhalt der QuelleWirth, Johannes, Nina Huber, Kelvin Yin, Sophie Brood, Simon Chang, Celia P. Martinez-Jimenez und Matthias Meier. „Spatial transcriptomics using multiplexed deterministic barcoding in tissue“. Nature Communications 14, Nr. 1 (18.03.2023). http://dx.doi.org/10.1038/s41467-023-37111-w.
Der volle Inhalt der QuelleJohnston, Kevin G., Bereket T. Berackey, Kristine M. Tran, Alon Gelber, Zhaoxia Yu, Grant R. MacGregor, Eran A. Mukamel, Zhiqun Tan, Kim N. Green und Xiangmin Xu. „Single-cell spatial transcriptomics reveals distinct patterns of dysregulation in non-neuronal and neuronal cells induced by the Trem2R47H Alzheimer’s risk gene mutation“. Molecular Psychiatry, 05.08.2024. http://dx.doi.org/10.1038/s41380-024-02651-0.
Der volle Inhalt der QuelleMao, Guangyao, Yi Yang, Zhuojuan Luo, Chengqi Lin und Peng Xie. „SpatialQC: automated quality control for spatial transcriptome data“. Bioinformatics, 25.07.2024. http://dx.doi.org/10.1093/bioinformatics/btae458.
Der volle Inhalt der QuelleXu, Zhicheng, Weiwen Wang, Tao Yang, Ling Li, Xizheng Ma, Jing Chen, Jieyu Wang et al. „STOmicsDB: a comprehensive database for spatial transcriptomics data sharing, analysis and visualization“. Nucleic Acids Research, 11.11.2023. http://dx.doi.org/10.1093/nar/gkad933.
Der volle Inhalt der QuelleZhang, Chao, Renchao Chen und Yi Zhang. „Accurate inference of genome-wide spatial expression with iSpatial“. Science Advances 8, Nr. 34 (26.08.2022). http://dx.doi.org/10.1126/sciadv.abq0990.
Der volle Inhalt der QuelleFan, Zhen, Runsheng Chen und Xiaowei Chen. „SpatialDB: a database for spatially resolved transcriptomes“. Nucleic Acids Research, 12.11.2019. http://dx.doi.org/10.1093/nar/gkz934.
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