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CAF1 physically interacts with CCR4 and NOT1 by tandem affinity purification (View interaction) Gene expression in eukaryotic cells progresses through different steps, which are tightly regulated to ensure the integrity of the transcriptome.
As shown in Table S1, this analysis revealed that PT treatment resulted in the most significant changes to antigen presentation, cell-to-cell signaling and interaction, gene expression, hematological system development and function, immune cell trafficking, inflammatory response and tissue morphology functions.
Next, we analyzed moonlighting proteins in terms of protein-protein interaction, gene expression, phylogenetic profile, and genetic interaction networks.
In addition to epistasis and gene environment interaction, gene expression in general and epigenetics in particular have been mentioned in relation to missing heritability.
Visualization in VisAnt allows predictions to be integrated with many other large scale genomic datasets including protein-protein interaction, gene expression, GO functional annotation, and genetic interaction.
Recent literature on protein function prediction focuses on integrating multiple sources of evidence (e.g. physical interactions, genetic interaction, gene expression data) to assign proteins to processes [ 1- 4] or to predict functional associations or interactions between related proteins [ 5- 10].
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While toxicokinetic modeling did not explain mixture interactions, gene expression profiling and further Gene Ontology-based functional genomics analysis provided clues that the decrement of toxicity may arise from the development of specific toxicodynamics.
Cancer cells propagated in three-dimensional (3D) culture systems exhibit physiologically relevant cell-cell and cell-matrix interactions, gene expression and signaling pathway profiles, heterogeneity and structural complexity that reflect in vivo tumors.
Microgravity research, modulations in mechanical culture conditions (modeled microgravity), and shear stress have spawned innovative approaches to understanding the dynamics of cellular interactions, gene expression, and differentiation in several cellular systems.
The latter immediately suggests the concept of information and reveals an additional function performed by gene expression and regulated by cell interactions: gene expression provides positional information [1].
GeneDistiller includes the following data: Genes, gene positions, gene RIFs, gene ontology, cellular localisation of gene products, transcripts, exons, OMIM reports, mouse phenotypes, protein-protein interactions, gene expression data, protein domains, SNP markers, STR markers.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com