Spatial Genomics, Transcriptomics and Proteomics Solutions – An Amelioration of Tissue Analytics
Since the completion of the Human Genome Project, the focus has shifted from decoding the linear arrangement of nucleotides to understanding the tissue structure and interaction of biomolecules, in spatial context.
Recent advances in multi-omics approaches, including genomics, transcriptomics, proteomics, metabolomics, cytometry and imaging, in combination with bioinformatics and biostatistics, have been translated into several popular bioanalytical platforms, such as next-generation sequencing (NGS), single-cell analysis, flow cytometry and mass spectrometry. These platforms, although widely adopted, require tissue fixation and are therefore not capable of providing fundamental information about cellular interactions and biomarkers quantitative assessment.
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