Quantitative single-cell RNA-seq with unique molecular identifiers

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Items 201–300 of 1,000

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2. Solving a Levinthal's paradox for virus assembly identifies a unique antiviral strategy
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3. An integrative approach for building personalized gene regulatory networks for precision medicine
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4. Single-Cell Transcriptome Analysis of Uniparental Embryos Reveals Parent-of-Origin Effects on Human Preimplantation Development
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5. Fast and accurate single-cell RNA-seq analysis by clustering of transcript-compatibility counts
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6. Nonparametric expression analysis using inferential replicate counts
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7. miQC: An adaptive probabilistic framework for quality control of single-cell RNA-sequencing data
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8. SARS-CoV-2 infection causes dopaminergic neuron senescence
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9. Assessing similarity to primary tissue and cortical layer identity in induced pluripotent stem cell-derived cortical neurons through single-cell transcriptomics
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10. Single-Cell Transcriptional Analysis
    Angela Ruohao Wu, Jianbin Wang, Aaron Streets, Yanyi Huang · 2017 · Annual Review of Analytical Chemistry
11. Single-cell RNA-seq highlights heterogeneity in human primary Wharton’s jelly mesenchymal stem/stromal cells cultured in vitro
    Changbin Sun, Lei Wang, Hailun Wang, Tingrun Huang, Wenwen Yao, Jing Li, Xi Zhang · 2020 · Stem Cell Research & Therapy
12. Single-Cell Analysis Reveals Regulatory Gene Expression Dynamics Leading to Lineage Commitment in Early T Cell Development
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13. Alternative Polyadenylation: Methods, Findings, and Impacts
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14. Germinal center–dependent and –independent memory B cells produced throughout the immune response
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15. A pairwise cytokine code explains the organism-wide response to sepsis
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16. Toward reliable biomarker signatures in the age of liquid biopsies - how to standardize the small RNA-Seq workflow
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17. Single-Cell RNA Sequencing with Spatial Transcriptomics of Cancer Tissues
    Rashid Ahmed, Tariq Zaman, Farhan Chowdhury, Fatima Mraiche, Muhammad Tariq, Irfan S. Ahmad, Anwarul Hasan · 2022 · International Journal of Molecular Sciences
18. Benefits and Challenges with Applying Unique Molecular Identifiers in Next Generation Sequencing to Detect Low Frequency Mutations
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19. ST Pipeline: an automated pipeline for spatial mapping of unique transcripts
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20. C1 CAGE detects transcription start sites and enhancer activity at single-cell resolution
    Tsukasa Kouno, Jonathan Moody, Andrew Tae-Jun Kwon, Youtaro Shibayama, Sachi Kato, Yi Huang, Michael E. Böttcher, Efthymios Motakis, Mickaël Mendez, Jessica Severin et al. · 2019 · Nature Communications
21. Cross-Species Analysis of Single-Cell Transcriptomic Data
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22. Studying hematopoiesis using single-cell technologies
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23. Systems Pharmacology: Defining the Interactions of Drug Combinations
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24. A Single Cell but Many Different Transcripts: A Journey into the World of Long Non-Coding RNAs
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25. Single-cell multi-omics in cancer immunotherapy: from tumor heterogeneity to personalized precision treatment
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26. Single cell transcriptomics in neuroscience: cell classification and beyond
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27. Linked-read analysis identifies mutations in single-cell DNA-sequencing data
    Craig L. Bohrson, Alison R. Barton, Michael A. Lodato, Rachel E. Rodin, Lovelace J. Luquette, Vinay Viswanadham, D. Gulhan, Isidro Cortés‐Ciriano, Maxwell A. Sherman, Min‐Seok Kwon et al. · 2019 · Nature Genetics
28. Guidelines for bioinformatics of single-cell sequencing data analysis in Alzheimer’s disease: review, recommendation, implementation and application
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29. B cell receptor signaling in germinal centers prolongs survival and primes B cells for selection
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30. Single-Cell Sequencing Technologies: Current and Future
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31. NOD-like receptor signaling and inflammasome-related pathways are highlighted in psoriatic epidermis
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32. Advances in single-cell RNA sequencing and its applications in cancer research
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33. Systematic comparison of high-throughput single-cell RNA-seq methods for immune cell profiling
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34. Systematic Analysis of the Determinants of Gene Expression Noise in Embryonic Stem Cells
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35. Sensitive high-throughput single-cell RNA-seq reveals within-clonal transcript correlations in yeast populations
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36. How to design a single-cell RNA-sequencing experiment: pitfalls, challenges and perspectives
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37. Beyond comparisons of means: understanding changes in gene expression at the single-cell level
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38. Human pathways in animal models: possibilities and limitations
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39. Continuous germinal center invasion contributes to the diversity of the immune response
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40. Gene length and detection bias in single cell RNA sequencing protocols
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41. Unravelling glioblastoma heterogeneity by means of single-cell RNA sequencing
    Ana Hernández Martínez, Rodrigo Madurga, Noemí Garcia‐Romero, Ángel Ayuso‐Sacido · 2021 · Cancer Letters
42. A critical spotlight on the paradigms of FFPE-DNA sequencing
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43. Accounting for technical noise in differential expression analysis of single-cell RNA sequencing data
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44. Single-cell sequencing reveals the origin and the order of mutation acquisition in T-cell acute lymphoblastic leukemia
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45. A secretagogin locus of the mammalian hypothalamus controls stress hormone release
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46. High Throughput Single Cell RNA Sequencing, Bioinformatics Analysis and Applications
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47. Using single‐cell multiple omics approaches to resolve tumor heterogeneity
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48. Deep sequencing reveals cell-type-specific patterns of single-cell transcriptome variation
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49. Single-Cell RNA Sequencing in Lung Cancer: Revealing Phenotype Shaping of Stromal Cells in the Microenvironment
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50. Organism-Level Analysis of Vaccination Reveals Networks of Protection across Tissues
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51. Spatially mapped single-cell chromatin accessibility
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52. Bayesian inference of gene expression states from single-cell RNA-seq data
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53. Developmental landscape of human forebrain at a single-cell level identifies early waves of oligodendrogenesis
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54. Genome-wide identification of genes essential for podocyte cytoskeletons based on single-cell RNA sequencing
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55. Heterogeneity in endothelial cells and widespread venous arterialization during early vascular development in mammals
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56. Bayesian model selection reveals biological origins of zero inflation in single-cell transcriptomics
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57. Primed and ready: understanding lineage commitment through single cell analysis
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58. RNA-seq based transcriptomic analysis of single bacterial cells
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59. Single-cell mRNA isoform diversity in the mouse brain
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60. Single-cell sequencing and its applications in head and neck cancer
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61. Single-cell omics: experimental workflow, data analyses and applications
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62. DIMM-SC: a Dirichlet mixture model for clustering droplet-based single cell transcriptomic data
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63. Single‐cell technologies are revolutionizing the approach to rare cells
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64. Targeting APLN/APJ restores blood-testis barrier and improves spermatogenesis in murine and human diabetic models
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65. STRT-seq-2i: dual-index 5ʹ single cell and nucleus RNA-seq on an addressable microwell array
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66. High-Throughput Single-Cell Labeling (Hi-SCL) for RNA-Seq Using Drop-Based Microfluidics
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67. A Comparison of mRNA Sequencing with Random Primed and 3′-Directed Libraries
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68. Variation is function: Are single cell differences functionally important?
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69. Microfluidic and Paper-Based Devices for Disease Detection and Diagnostic Research
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70. Discovery and characterization of variance QTLs in human induced pluripotent stem cells
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71. Brain Transcriptome Databases: A User's Guide
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72. Defining the Homo- and Heterodimerization Propensities of Metabotropic Glutamate Receptors
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73. A method for high precision sequencing of near full-length 16S rRNA genes on an Illumina MiSeq
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74. The promise of single-cell RNA sequencing for kidney disease investigation
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75. Progress and challenges of sequencing and analyzing circulating tumor cells
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76. Spatial metabolomics reveals glycogen as an actionable target for pulmonary fibrosis
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77. Three tyrosine kinase inhibitors cause cardiotoxicity by inducing endoplasmic reticulum stress and inflammation in cardiomyocytes
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78. Application of single-cell genomics in cancer: promise and challenges
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79. Single cell transcriptomics suggest that human adipocyte progenitor cells constitute a homogeneous cell population
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80. Genomic and transcriptomic profiling of carcinogenesis in patients with familial adenomatous polyposis
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81. Benchmarking UMI-based single-cell RNA-seq preprocessing workflows
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82. Astrocyte-Derived Exosomal microRNA miR-200a-3p Prevents MPP+-Induced Apoptotic Cell Death Through Down-Regulation of MKK4
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83. Fluorescent analysis of bioactive molecules in single cells based on microfluidic chips
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84. Critical downstream analysis steps for single-cell RNA sequencing data
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85. Exploring single cells in space and time during tissue development, homeostasis and regeneration
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86. A new protocol for single-cell RNA-seq reveals stochastic gene expression during lag phase in budding yeast
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88. STAB: a spatio-temporal cell atlas of the human brain
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89. Single-cell and single-nuclei RNA sequencing as powerful tools to decipher cellular heterogeneity and dysregulation in neurodegenerative diseases
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90. An automated approach to prepare tissue-derived spatially barcoded RNA-sequencing libraries
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91. SPARSim single cell: a count data simulator for scRNA-seq data
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92. Mechanosensing by Peyer’s patch stroma regulates lymphocyte migration and mucosal antibody responses
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93. Recent advances in high-throughput single-cell transcriptomics and spatial transcriptomics
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94. RNA sequencing and its applications in cancer and rare diseases
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95. scIMC: a platform for benchmarking comparison and visualization analysis of scRNA-seq data imputation methods
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96. scRNA‐seq data analysis method to improve analysis performance
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97. PD-L1/PD-1 checkpoint pathway regulates hippocampal neuronal excitability and learning and memory behavior
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98. Integrated mass spectrometry imaging and single‐cell transcriptome atlas strategies provide novel insights into taxoid biosynthesis and transport in Taxus mairei stems
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99. Estrogen receptor β, a regulator of androgen receptor signaling in the mouse ventral prostate
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100. Single‐cell RNA‐sequencing of the brain
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