Search bioRxivSearch

Biology subjects

Postma, M.

Publications and source records attributed to Postma, M..

3 recordsLinked to original sources

PlotsOfData - a web app for visualizing data together with its summaries

Reporting of the actual data in graphs and plots increases transparency and enables independent evaluation. On the other hand, data summaries are often used in graphs since they aid interpretation. State-of-the art data visualizations can be made with the ggplot2 package, which uses the ideas of a grammar of graphics to generate a graphic from multiple layers of data. However, ggplot2 requires coding skills and an understanding of the tidy data structure. To democratize state-of-the-art data visualization of raw data with a selection of statistical summaries, a web app was written using R/shiny that uses the ggplot2 package for generating plots. A multilayered approach together with adjustable transparency offers a unique flexibility, enabling users can to choose how to display the data and which of the data summaries to add. Four data summaries are provided, mean, median, boxplot, violinplot, to accommodate several types of data distributions. In addition, 95% confidence intervals can be added for visual inferences. By adjusting the transparency of the layers, the visualization of the raw data together with the summary can be tuned for optimal presentation and interpretation. The app is dubbed PlotsOfData and is available at: https://huygens.science.uva.nl/PlotsOfData/\n\nO_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC=\"FIGDIR/small/426767v3_ufig1.gif\" ALT=\"Figure 1\">\nView larger version (21K):\norg.highwire.dtl.DTLVardef@1f8a09eorg.highwire.dtl.DTLVardef@1f8feb3org.highwire.dtl.DTLVardef@19b781org.highwire.dtl.DTLVardef@5e7b55_HPS_FORMAT_FIGEXP M_FIG C_FIG

scientific communication and education

Robust and Bright Genetically Encoded Fluorescent Markers for Highlighting Structures and Compartments in Mammalian Cells

To increase our understanding of the inner working of cells, there is a need for specific markers to identify biomolecules, cellular structures and compartments. One type of markers comprises genetically encoded fluorescent probes that are linked with protein domains, peptides and/or signal sequences. These markers are encoded on a plasmid and they allow straightforward, convenient labeling of cultured mammalian cells by introducing the plasmid into the cells. Ideally, the fluorescent marker combines favorable spectroscopic properties (brightness, photostability) with specific labeling of the structure or compartment of interest. Here, we report our ongoing efforts to generate robust and bright genetically encoded fluorescent markers for highlighting structures and compartments in living cells. The plasmids are distributed by addgene: https://www.addgene.org/browse/article/28189953/ O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=71 SRC="FIGDIR/small/160374v2_ufig1.gif" ALT="Figure 1"> View larger version (26K): org.highwire.dtl.DTLVardef@67f3aaorg.highwire.dtl.DTLVardef@ae2235org.highwire.dtl.DTLVardef@47f729org.highwire.dtl.DTLVardef@b3c9d1_HPS_FORMAT_FIGEXP M_FIG C_FIG

cell biology

Characterization of a spectrally diverse set of fluorescent proteins as FRET acceptors for mTurquoise2

Genetically encoded Forster Resonance Energy Transfer (FRET) based biosensors report on changes in biochemical states in single living cells. The performance of biosensors depends on their brightness and dynamic range, which are dependent on the characteristics of the fluorescent proteins that are employed. Cyan fluorescent protein (CFP) is frequently combined with yellow fluorescent protein (YFP) as FRET pair in biosensors. However, current YFPs are prone to photobleaching and pH changes. In addition, more efficient acceptors may yield biosensors that have higher contrast. In this study, we evaluated the properties of a diverse set of acceptor fluorescent proteins in combination with the optimized CFP variant mTurquoise2 as the donor. To determine the theoretical performance of acceptors, the Forster radius was determined. The practical performance was determined by measuring FRET efficiency and photostability of tandem fusion proteins in mammalian cells. Our results show that mNeonGreen is the most efficient acceptor for mTurquoise2 and that the photostability is better than SYFP2. The non-fluorescent YFP variant sREACh is an efficient acceptor, which is useful in lifetime-based FRET experiments. Among the orange and red fluorescent proteins, mChery and mScarlet-I are the best performing acceptors. Several new pairs were applied in a multimolecular FRET based sensor for detecting activation of a heterotrimeric G-protein by G-protein coupled receptors. The sensor with mScarlet-I as acceptor and mTurquoise2 as donor shows a higher dynamic range in ratiometric FRET imaging experiments and less variability than with mCherry as acceptor, due to the high quantum yield and efficient maturation of mScarlet-I. Overall, the sensor with mNeonGreen as acceptor and mTurquoise2 as donor showed the highest dynamic range in ratiometric FRET imaging experiments with the G-protein sensor.

cell biology