AI Article Synopsis
- Biological samples are complex and heterogeneous, requiring innovative technologies to analyze them effectively.
- Recent advancements in single-cell isolation and nucleic acid barcoding are revolutionizing the study of individual cell (epi)genomics, transcriptomics, and proteomics.
- Merging multi-omics data from different experiments poses challenges due to cell-to-cell variability, but new methods aim to enhance data resolution and dimensionality, offering valuable insights for biological research and diagnostics.
Article Abstract
Biological samples are inherently heterogeneous and complex. Tackling this complexity requires innovative technological and analytical solutions. Recent advances in high-throughput single-cell isolation and nucleic acid barcoding methods are rapidly changing the technological landscape of biological sciences and now make it possible to measure the (epi)genomic, transcriptomic, or proteomic state of individual cells. In addition, few experimental approaches enable multi-omics measurements of the same cell. However, merging-omics data collected from different experiments remains a considerable challenge. Although several strategies for merging transcriptomics datasets have recently been introduced, cell-to-cell variability and heterogeneity remains one of the confounding factors limiting data fusion and integration. Here, we focus our discussion on the latest single-cell technological and analytical solutions to achieve high data dimensionality and resolution. Obtaining datasets with a wealth of multi-omics information will undoubtedly provide new avenues for researchers to unravel the complexity of biological samples encountered in modern biological research and molecular diagnostics.
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| http://dx.doi.org/10.1016/j.copbio.2018.09.012 | DOI Listing |
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