| 1. |
- Beal, Jacob, et al.
(författare)
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Robust estimation of bacterial cell count from optical density
- 2020
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Ingår i: Communications Biology. - : Springer Science and Business Media LLC. - 2399-3642. ; 3:1
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Tidskriftsartikel (refereegranskat)abstract
- Optical density (OD) is widely used to estimate the density of cells in liquid culture, but cannot be compared between instruments without a standardized calibration protocol and is challenging to relate to actual cell count. We address this with an interlaboratory study comparing three simple, low-cost, and highly accessible OD calibration protocols across 244 laboratories, applied to eight strains of constitutive GFP-expressing E. coli. Based on our results, we recommend calibrating OD to estimated cell count using serial dilution of silica microspheres, which produces highly precise calibration (95.5% of residuals <1.2-fold), is easily assessed for quality control, also assesses instrument effective linear range, and can be combined with fluorescence calibration to obtain units of Molecules of Equivalent Fluorescein (MEFL) per cell, allowing direct comparison and data fusion with flow cytometry measurements: in our study, fluorescence per cell measurements showed only a 1.07-fold mean difference between plate reader and flow cytometry data.
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| 2. |
- Du, Zhixue, et al.
(författare)
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In Situ Monitoring of p53 Protein and MDM2 Protein Interaction in Single Living Cells Using Single-Molecule Fluorescence Spectroscopy
- 2018
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Ingår i: Analytical Chemistry. - : American Chemical Society (ACS). - 0003-2700 .- 1520-6882. ; 90:10, s. 6144-6151
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Tidskriftsartikel (refereegranskat)abstract
- Protein-protein interactions play a central role in signal transduction, transcription regulations, enzymatic activity, and protein synthesis. The p53 protein is a key transcription factor, and its activity is precisely regulated by the p53-MDM2 interaction. Although the p53-MDM2 interaction has been studied, it is still not clear how p53 structures and external factors influence the p53-MDM2 interaction in living cells. Here, we developed a direct method for monitoring the p53-MDM2 interaction in single living cells using single-molecule fluorescence cross-correlation spectroscopy with a microfluidic chip. First, we labeled p53 and MDM2 proteins with enhanced green fluorescent protein (EGFP) and mCherry, respectively, using lentivirus infection. We then designed various mutants covering the three main domains of p53 (tetramerization, transactivation, and DNA binding domains) and systematically studied effects of p53 protein primary, secondary, and quaternary structures on p53 MDM2 binding affinity in single living cells. We found that p53 dimers and tetramers can bind to MDM2, that the binding affinity of p53 tetramers is higher than that of p53 dimers, and that the affinity is closely correlated to the helicity of the p53 transactivation domain. The hot-spot mutation R175H in the DNA-binding domain reduced the binding of p53 to MDM2. Finally, we studied effects of inhibitors on p53-MDM2 interactions and dissociation dynamics of pS3-MDM2 complexes in single living cells. We found that inhibitors Nutlin 3 alpha and MI773 efficiently inhibited the pS3-MDM2 interaction, but RITA did not work in living cells. This study provides a direct way for quantifying the relationship between protein structure and protein protein interactions and evaluation of inhibitors in living cells.
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