10,168 results found
    1. Cancer Biology
    2. Genetics and Genomics

    Novel insights into breast cancer copy number genetic heterogeneity revealed by single-cell genome sequencing

    Timour Baslan et al.
    Copy number alteration heterogeneity exists in many shapes and forms in breast cancer genomes and single-cell genomics is a powerful tool to further our understanding of its nature and significance.
    1. Stem Cells and Regenerative Medicine

    Sequentially induced motor neurons from human fibroblasts facilitate locomotor recovery in a rodent spinal cord injury model

    Hyunah Lee et al.
    Sequential introduction of transcription factors enables large-scale generation of induced motor neurons (iMNs) from human somatic cells, and transplantation of iMNs exhibit therapeutic effects in spinal cord injury model.
    1. Structural Biology and Molecular Biophysics
    2. Computational and Systems Biology

    Robust model-based analysis of single-particle tracking experiments with Spot-On

    Anders S Hansen et al.
    Spot-On is an easy-to-use website that makes a rigorous and bias-corrected modeling framework for analysis of single-molecule tracking experiments available to all.
    1. Structural Biology and Molecular Biophysics

    DeepFRET, a software for rapid and automated single-molecule FRET data classification using deep learning

    Johannes Thomsen et al.
    An open-source user-friendly toolbox implementing machine learning for single-molecule FRET analysis enabling experts and non-experts to reproducibly provide dynamic structural biology insights.
    1. Cell Biology
    2. Microbiology and Infectious Disease

    A single-parasite transcriptional atlas of Toxoplasma Gondii reveals novel control of antigen expression

    Yuan Xue et al.
    Single-cell RNA-sequencing resolves the transcriptional landscape of asexual development in Toxoplasma gondii, revealing concerted genetic programs to Plasmodiumfalciparum and a novel transcriptional factor that controls antigen switching.
    1. Computational and Systems Biology

    Gene regulatory network reconstruction using single-cell RNA sequencing of barcoded genotypes in diverse environments

    Christopher A Jackson et al.
    Single cell expression data can be used to determine how regulatory transcription factors and target genes are connected, and is especially useful when studying transcription factors controlling heterogeneous cell states.
    1. Computational and Systems Biology
    2. Plant Biology

    Coordination of robust single cell rhythms in the Arabidopsis circadian clock via spatial waves of gene expression

    Peter D Gould et al.
    Single cell analysis reveals how period differences between cells and cell-to-cell coupling generates the spatial structure of the plant circadian clock.
    1. Developmental Biology
    2. Neuroscience

    Slow oscillation-spindle coupling predicts enhanced memory formation from childhood to adolescence

    Michael A Hahn et al.
    An individualized cross-frequency coupling approach identified slow oscillation-spindle coupling strength as a novel mechanism that mediates memory formation during cortical maturation.
    1. Chromosomes and Gene Expression
    2. Genetics and Genomics

    Simultaneous measurement of chromatin accessibility, DNA methylation, and nucleosome phasing in single cells

    Sebastian Pott
    A new method that measures multiple aspects of chromatin organization in single cells has a possible application to study regulatory processes in heterogeneous samples.
    1. Computational and Systems Biology
    2. Stem Cells and Regenerative Medicine

    Self-assembling manifolds in single-cell RNA sequencing data

    Alexander J Tarashansky et al.
    An iterative self-assembling algorithm identifies the intrinsic structures in single-cell transcriptomic data and helps to discover new cell populations that are undetectable by existing methods.

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