PubMed · 10691510
The source did not provide an abstract. Follow the original record for more information.
Explore connections, maps & timelines
R W Smith, R M Unice, L Chrisman. 2000-02-24. Electrocardiographic artifact.. https://doi.org/10.1056/nejm200002243420816
Cite the original work for its findings. Save a collection to share your selection of sources.
KEEP EXPLORING
MOTIVATION: 10x Genomics VisiumHD enables spatial transcriptomics at 2 µm × 2 µm resolution but exhibits slide-specific, non-periodic striping artifacts due to lane-width variability. These multiplicative row/column effects distort bin total counts and can bias downstream analyses. The state-of-the-art destriping approach is the normalization procedure used as a preprocessing step in bin2cell; it applies sequential high-quantile row- then column-wise normalization, which is asymmetric and can introduce edge effects/macro-stripes and distortions of large-scale total-count structure. RESULTS: We propose a statistical destriping approach that leverages nuclei segmentation from the co-registered H&E image. Assuming transcript abundance is constant within each nucleus, we model bin counts with a negative binomial distribution whose mean is a product of a nucleus-specific concentration and row- and column-specific stripe-factors reflecting lane-width variation. We fit all parameters in a generalized linear modeling framework with cross-validated regularization on stripe-factors and iterative dispersion estimation, and use the fitted parameters to correct the observed counts into a destriped image. On synthetic data with known ground truth, our method improves stripe-factor estimation accuracy and reduces error in corrected counts relative to bin2cell and bin2cell-derived baselines. Across four public VisiumHD slides, it consistently lowers striping intensity while substantially better preserving biological signal present in the large-scale global count structure and avoiding the artifacts introduced by other methods. AVAILABILITY AND IMPLEMENTATION: All source code and links to publicly available data used for this study are available at https://github.com/paolamalsot/destriping-GLM.
Electron paramagnetic resonance (EPR) spin trapping was originally developed to aid the detection of low-molecular-mass radicals formed in chemical systems. It has subsequently found widespread use in biology and medicine for the direct detection of radical species formed during oxidative stress and via enzymatic reactions. Over the last 15 years this technique has also found increasing use in detecting and identifying radicals formed on biological macromolecules as a result of either radical reactions or enzymatic processes. Though the EPR signals that result from the trapping of large, slowly tumbling radicals are often broad and relatively poor in distinctive features, a number of techniques have been developed that allow a wealth of information to be obtained about the nature, site, and reactions of such radicals. This article summarizes recent developments in this area and reviews selected examples of radical formation on proteins.
Wild type gene for green fluorescent protein (GFP) was stably integrated into the Pichia pastoris genome and yielded an expression level of over 40% of total cellular protein. The high cytoplasmic concentration of fluorescent (properly folded and processed) GFP caused the formation of fluorescent spherical structures, which could be observed by fluorescence or confocal microscopy after controlled permeabilization of the yeast cells with 0.2% N-lauroyl sarcosine (NLS). Fluorescent GFP particles were also isolated after removal of the cell wall and found to be quite resistant to 0.2% N-lauroyl sarcosine. SDS-PAGE analysis of the isolated fluorescent particles revealed the presence of an 80 kDa protein (alcohol oxidase) and GFP (30%). We conclude that GFP is able to enter spontaneously into the peroxisomes and is inserted into densely packed layers of alcohol oxidase. Consequently, the formation of similar fluorescent particles can also be expected in other organisms when using high-level expression systems. As GFP is widely used in fusion with other proteins as a reporter for protein localization and for many other applications in biotechnology, care must be taken to avoid false interpretations of targeting or trafficking mechanisms inside the cells. In addition, when whole cells or cytoplasmic fractions are used for the quantitative determination of GFP levels, incorrect and misleading values of GFP could be obtained due to the formation of fluorescent particles containing material inside which is not available for fluorescence measurements.