CYTOSOMICS, METABOLOMICS and COMPUTATIONAL MOLECULAR PHENOTYPING
|Micromolecules: definitions & links||Cellular domains: Genome, preoteome & metabolome|
|Metabolic diversity: Scale, dynamics, & phyletics||Phenotyping strategies: proteomics vs metabolomics|
|CMP Platforms: Platforms and workflow overview||CMP Probes: The probe library|
|CMP Substrates: Molecular trapping & detection||CMP Datasets: Data arrays for multichannel imaging|
|CMP Analysis: pattern recognition theory and tools||CMP Exploration: N-space visualization tools|
|CMP Annotation: browsing & annotating data|
Cytosomics is the quantitative mapping of the genomic, proteomic and metabolomic signatures with cellular resolution. It is a strategy for extracting the identities and fates of cells in complex tissue arrays. Rather than building signature collections using ad hoc univariate measures, cytosomics takes its design from metabolomics, micromolecular phenotyping and computational pattern recognition.
Metabolomics is the analysis of micromolecular networks that form the currencies and currents of life.
Every cell exists in a metabolic N-space where mixtures of intra- and pericellular micromolecules are shaped by cell-autonomous and non-cell-autonomous factors. No theory predicts these mixtures, partly due to the paucity of micromolecular profile data from which a coherent model could be crafted. Profiling with single-cell resolution in complex tissues is essential to decoding the interactions between gene expression and environmental signaling.
Computational Molecular Phenotyping (CMP) is a micromolecular profiling technology. Micromolecules can be quantitatively probed with hapten-specific IgG reagents with subcellular resolution. CMP is the fusion of three technology platforms: Anti-hapten IgG libraries, tissue array fabrication, and computational pattern recognition. CMP profiles multiple metabolites in every cell, concurrently discovers and phenotypes cell classes, tracks cell state, and maps disease sequelae in any tissue or organism.