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Single Cell Sequencing
Kk5725, WikimediaSingle cell sequencing (scs) can be harnessed to acquire the genomes, transcriptomes and epigenomes from individual cells. Here is the latest research on single cell sequencing.
Comment from the Editor on the Special Issue "Head and Neck Critical Illness: Basic and Clinical Research Implications"
Rab33a and Rab33ba mediate the outgrowth of forebrain commissural axons in the zebrafish brain
Single-cell RNA-Seq: a next generation sequencing tool for a high-resolution view of the individual cell
Single-cell RNA-seq of esophageal squamous cell carcinoma cell line with fractionated irradiation reveals radioresistant gene expression patterns
Differential homotypic and heterotypic interactions of antigen 43 (Ag43) variants in autotransporter-mediated bacterial autoaggregation
Single-cell analysis of childhood leukemia reveals a link between developmental states and ribosomal protein expression as a source of intra-individual heterogeneity
Patient-derived model systems and the development of next-generation anticancer therapeutics
Electron Scattering in Conventional Cell Flask Experiments and Dose Distribution Dependency
At the forefront of the sequencing revolution-notes from the RNGS19 conference
Evaluation of the effects of cell-dispensing using an inkjet-based bioprinter on cell integrity by RNA-seq analysis
Next-Generation Genotoxicology: Using Modern Sequencing Technologies to Assess Somatic Mutagenesis and Cancer Risk
Imaging rRNA Methylation in Bacteria by MR-FISH
Single-cell transcriptome analysis of Physcomitrella leaf cells during reprogramming using microcapillary manipulation
Test-time augmentation for deep learning-based cell segmentation on microscopy images
Horizon scanning for novel and emerging in vitro mammalian cell mutagenicity test systems
Advances and applications of environmental stress adaptation research
New Thiol-Sensitive Dye Application for Measuring Oxidative Stress in Cell Cultures
Single-cell sequencing in ovarian cancer: a new frontier in precision medicine
Multiview learning for understanding functional multiomics
IRIS-EDA: An integrated RNA-Seq interpretation system for gene expression data analysis
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