PubMed · 8337043
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M Kaplan, J Z Glustein. 1993. Artifacts causing artifacts.. https://pubmed.ncbi.nlm.nih.gov/8337043/
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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.
Contemporary predictive models for sequence-dependent DNA structure provide a good estimation of overall DNA curvature in most cases. However, the two current models differ fundamentally in their view of the origin of DNA curvature. An earlier model that associates DNA bending primarily, although not exclusively, with stretches of adenines (A-tracts) is based on results of comparative gel retardation, cyclization kinetics, hydroxyl radical cutting, and other solution measurements. It represents an intersection of wedge and junction models. More recently, a non-A-tract bending model has been proposed, built on structural results from x-ray crystallography and molecular modeling. In this view, A-tracts are proposed to be straight and rigid, whereas mixed sequence DNA is bent. Because a key premise of the non-A-tract bending model is the crystallographic observation that A-tracts are straight, we have examined the effect in solution of 2-methyl-2,4-pentanediol (MPD), an organic solvent used in crystal preparation for crystallographic DNA structure determinations. Using cyclization analysis, DNase I cutting, chemical probing, and electron microscopy on DNA oligomers with and without A-tracts, we show that the presence of MPD in solution dramatically affects A-tracts and that the effect is specific to these sequence elements. Combined with the previous observation that MPD affects gel mobility of curved sequences with A-tracts, our findings support the bent A-tract model and call for caution in the interpretation of crystallographic results on DNA structure as these are presently obtained.
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