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This approach manipulates the natural cell surface molecular localisation of proteins that direct fundamental biological processes such as cell to inter-cell recognition, signal transduction, surface anchoring, colonisation and immunological interaction in living organisms [ 4].
Fluorescence is a ubiquitous readout of molecular localisation in the life sciences and has enabled the elucidation of many biological processes, particularly since the development of genetically expressed fluorophores has facilitated direct observation of signalling processes in live cells.
Live cell imaging has been widely used to investigate neuronal dysfunction in cultured cells in vitro, which, together with fluorescent multiple labelling, permits visualisation of different cell activities and distinct molecular localisation patterns.
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Further molecular (eg localisation of the expressing cells) and functional (eg binding properties) analyses are now needed to definitely annotate this new protein as an OBP.
Alternative splicing permits a high degree of protein diversity generating structurally and functionally distinct proteins that differ in their subcellular localisation, molecular targets or stability.
Therefore, a number of proteins were probably lost at each step of the technique, depending on their charge, molecular weight, subcellular localisation and/or abundance in the cell.
For the prediction of targets, the gene function, including the biological process, cellular component localisation, and molecular function of the genes were analysed.
Although the molecular mechanisms pertaining nuclear localisation of EGFR have not been identified yet, Spinophilin was reported to be one of the scaffolding molecule that binds to p70S6K (Buchsbaum et al, 2003).
Further developments in software will mean that novel co-registration techniques will enable precise anatomical localisation of molecular change, but exposure to radiation, especially if multiple imaging points are required, may limit routine clinical use.
The authors then further characterised their data through the use of gene ontology (GO) analysis to cluster genes of interest into functional groupings based on both biological processes, such as transcription, translation and protein localisation and molecular functions, such as RNA binding and methyl transferase activity.
The data on C. elegans MACIT demonstrate conserved molecular properties and tissue localisations.
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