Integrated genome and transcriptome sequencing of the same cell

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Items 101–200 of 504

1. Deep learning in single-cell and spatial transcriptomics data analysis: advances and challenges from a data science perspective
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2. Single-cell sequencing and its applications in head and neck cancer
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3. Immunology in the Era of Single-Cell Technologies
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4. Meiotic recombination mirrors patterns of germline replication in mice and humans
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5. Single-cell omics: experimental workflow, data analyses and applications
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6. L1 retrotransposition in the soma: a field jumping ahead
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7. Using single nucleotide variations in single-cell RNA-seq to identify subpopulations and genotype-phenotype linkage
   Olivier Poirion, Xun Zhu, Travers H. Ching, Lana X. Garmire · 2018 · Nature Communications
8. Variation is function: Are single cell differences functionally important?
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9. Integrated single-cell genetic and transcriptional analysis suggests novel drivers of chronic lymphocytic leukemia
   Lili Wang, Jean Fan, Joshua M. Francis, George P. Georghiou, Sarah Hergert, Shuqiang Li, Rutendo G. Gambe, Chensheng Willa Zhou, Chunxiao Yang, Sheng Xiao et al. · 2017 · Genome Research
10. scONE-seq: A single-cell multi-omics method enables simultaneous dissection of phenotype and genotype heterogeneity from frozen tumors
    Lei Yu, Xinlei Wang, Quanhua Mu, Sindy Sing Ting Tam, Danson Shek Chun Loi, Aden Ka‐Yin Chan, Wai Sang Poon, Ho‐Keung Ng, Danny Tat Ming Chan, Jiguang Wang et al. · 2023 · Science Advances
11. Gene dosage imbalances: action, reaction, and models
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12. The Human Cell Atlas
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13. Dynamic chromatin technologies: from individual molecules to epigenomic regulation in cells
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14. Defining Cell Identity with Single‐Cell Omics
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15. Single‐cell sequencing and tumorigenesis: improved understanding of tumor evolution and metastasis
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16. Bioinformatics perspectives on transcriptomics: A comprehensive review of bulk and single‐cell RNA sequencing analyses
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17. Application of single-cell genomics in cancer: promise and challenges
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18. Parallel bimodal single-cell sequencing of transcriptome and chromatin accessibility
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19. Time-resolved single-cell RNA-seq using metabolic RNA labelling
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20. The Whole Body as the System in Systems Immunology
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21. The myeloma stem cell concept, revisited: from phenomenology to operational terms
    Hans Erik Johnsen, Martin Bøgsted, Alexander Schmitz, Julie Støve Bødker, Tarec Christoffer El‐Galaly, Preben Johansen, Peter Valent, Niklas Zojer, Els Van Valckenborgh, Karin Vanderkerken et al. · 2016 · Haematologica
22. Circulating tumour cells in the -omics era: how far are we from achieving the ‘singularity’?
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23. Statistical single cell multi-omics integration
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24. Using Large Datasets to Understand Nanotechnology
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25. The Human Cell Atlas White Paper
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26. Advances and applications in single-cell and spatial genomics
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27. Novel insights into breast cancer copy number genetic heterogeneity revealed by single-cell genome sequencing
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28. Bi-order multimodal integration of single-cell data
    Jinzhuang Dou, Shaoheng Liang, Vakul Mohanty, Qi Miao, Yuefan Huang, Qingnan Liang, Xuesen Cheng, Sangbae Kim, Jongsu Choi, Yumei Li et al. · 2022 · Genome biology
29. A genetic disorder reveals a hematopoietic stem cell regulatory network co-opted in leukemia
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30. Linking single-cell measurements of mass, growth rate, and gene expression
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31. Single-Cell RNA Sequencing and Its Combination with Protein and DNA Analyses
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32. Smart-RRBS for single-cell methylome and transcriptome analysis
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33. RNA 5-Methylcytosine Analysis by Bisulfite Sequencing
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34. Gene regulatory network inference in single-cell biology
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35. Single-Cell Analysis of Circulating Tumor Cells: How Far Have We Come in the -Omics Era?
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36. Single‐Cell Sequencing Methodologies: From Transcriptome to Multi‐Dimensional Measurement
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37. Using single-cell technologies to map the human immune system — implications for nephrology
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38. Unraveling the Complexity of the Cancer Microenvironment With Multidimensional Genomic and Cytometric Technologies
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39. Augmenting adaptive immunity: progress and challenges in the quantitative engineering and analysis of adaptive immune receptor repertoires
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40. The Application of Single‐Cell RNA Sequencing in Vaccinology
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41. DENDRO: genetic heterogeneity profiling and subclone detection by single-cell RNA sequencing
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42. Robust detection of alternative splicing in a population of single cells
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43. Single cell transcriptomics: moving towards multi-omics
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44. Single-Cell Applications of Next-Generation Sequencing
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45. Single-cell RNA-seq methods to interrogate virus-host interactions
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46. Integration of single-cell multi-omics for gene regulatory network inference
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47. Single-Cell Multiomics Techniques: From Conception to Applications
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48. Modulating intracellular pathways to improve non-viral delivery of RNA therapeutics
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49. Cerebral cortical neuron diversity and development at single-cell resolution
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50. Single cell epigenome sequencing technologies
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51. Microfluidic single-cell transcriptomics: moving towards multimodal and spatiotemporal omics
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52. Scalable co-sequencing of RNA and DNA from individual nuclei
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53. Interrogating islets in health and disease with single-cell technologies
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54. Deciphering Cell Fate Decision by Integrated Single-Cell Sequencing Analysis
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55. Identification of embryo–fetal cells in celomic fluid using morphological and short‐tandem repeats analysis
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56. Recent advances in preimplantation genetic diagnosis and screening
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57. Human Trichuriasis: Whipworm Genetics, Phylogeny, Transmission and Future Research Directions
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58. Single-cell isolation by a modular single-cell pipette for RNA-sequencing
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59. Measuring and Modelling the Epithelial- Mesenchymal Hybrid State in Cancer: Clinical Implications
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60. Exploring the oceanic microeukaryotic interactome with metaomics approaches
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61. Simultaneous single-cell genome and transcriptome sequencing in nanoliter droplet with digital microfluidics identifying essential driving genes
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62. Demystifying the cytokine network: Mathematical models point the way
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63. Single cell transcriptomics reveals unanticipated features of early hematopoietic precursors
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64. Workflow optimization of whole genome amplification and targeted panel sequencing for CTC mutation detection
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65. Single-cell genomics to understand disease pathogenesis
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66. Progress in single-cell multimodal sequencing and multi-omics data integration
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67. Dissecting human disease with single-cell omics: application in model systems and in the clinic
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68. A generic, cost-effective, and scalable cell lineage analysis platform
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69. Simultaneous deep transcriptome and proteome profiling in a single mouse oocyte
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70. Single‐Cell Multi‐Omics and Its Prospective Application in Cancer Biology
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71. Microfluidics for genome-wide studies involving next generation sequencing
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72. Fluctuation localization imaging-based fluorescence in situ hybridization (fliFISH) for accurate detection and counting of RNA copies in single cells
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73. Chromatin tracing and multiplexed imaging of nucleome architectures (MINA) and RNAs in single mammalian cells and tissue
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74. The Origins of Phenotypic Heterogeneity in Cancer
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75. Computational Methods for Single-Cell Imaging and Omics Data Integration
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76. Emerging techniques in single-cell epigenomics and their applications to cancer research.
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77. Concurrent Single-Cell RNA and Targeted DNA Sequencing on an Automated Platform for Comeasurement of Genomic and Transcriptomic Signatures
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78. Single-Cell Multiomics
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79. Single-cell technologies — studying rheumatic diseases one cell at a time
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80. Simul-seq: combined DNA and RNA sequencing for whole-genome and transcriptome profiling
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81. Computational approaches for inferring tumor evolution from single-cell genomic data
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82. Development of Efficient Protocols for Stable and Transient Gene Transformation for Wolffia Globosa Using Agrobacterium
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83. Cell Atlas technologies and insights into tissue architecture
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84. Single‐cell third‐generation sequencing‐based multi‐omics uncovers gene expression changes governed by ecDNA and structural variants in cancer cells
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85. Temporal genetic stability in natural populations of the waterflea D aphnia magna in response to strong selection pressure
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86. Single-cell gene expression profiling and cell state dynamics: collecting data, correlating data points and connecting the dots
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87. Modeling Down syndrome in animals from the early stage to the 4.0 models and next
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88. Multi-omics approaches to improve malaria therapy
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89. Each cell counts: Hematopoiesis and immunity research in the era of single cell genomics
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90. Single-Cell Genomics for Virology
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91. Functional analysis of structural variants in single cells using Strand-seq
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92. Deconvolution of single-cell multi-omics layers reveals regulatory heterogeneity
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93. The Epigenetics of Early Life Adversity: Current Limitations and Possible Solutions
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94. Advances in single-cell multi-omics profiling
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95. High-dimension single-cell analysis applied to cancer
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96. Development and application of a livestock phenomics platform to enhance productivity and efficiency at pasture
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97. Computational approaches for high‐throughput single‐cell data analysis
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98. Towards Multiplex Molecular Diagnosis—A Review of Microfluidic Genomics Technologies
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99. Multi-omics at single-cell resolution: comparison of experimental and data fusion approaches
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100. A Detailed Catalogue of Multi-Omics Methodologies for Identification of Putative Biomarkers and Causal Molecular Networks in Translational Cancer Research
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