We recently developed expansion microscopy (ExM), which achieves nanoscale-precise imaging of specimens at ~70 nm resolution (with ~4.5x linear expansion) by isotropic swelling of chemically processed, hydrogel-embedded tissue. ExM of is challenged by its cuticle, which is stiff and impermeable to antibodies. Here we present a strategy, expansion of (ExCel), to expand fixed, intact . ExCel enables simultaneous readout of fluorescent proteins, RNA, DNA location, and anatomical structures at resolutions of ~65-75 nm (3.3-3.8x linear expansion). We also developed epitope-preserving ExCel, which enables imaging of endogenous proteins stained by antibodies, and iterative ExCel, which enables imaging of fluorescent proteins after 20x linear expansion. We demonstrate the utility of the ExCel toolbox for mapping synaptic proteins, for identifying previously unreported proteins at cell junctions, and for gene expression analysis in multiple individual neurons of the same animal.
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http://dx.doi.org/10.7554/eLife.46249 | DOI Listing |
J Phys Chem Lett
January 2025
Institut de Ciència de Materials de Barcelona, ICMAB-CSIC, Campus UAB, 08193 Bellaterra, Spain.
So far, the striking sign reversal in the near-ambient slope of the gap temperature dependence of colloidal CsPbCl perovskite nanocrystals (NCs) compared to its Br counterpart remains unresolved. Pure bromide NCs exhibit a linear gap increase with increasing temperature, to which thermal expansion and electron-phonon interaction equally contribute. In contrast, the temperature slope for the chlorine compound gap is clearly negative.
View Article and Find Full Text PDFRev Sci Instrum
January 2025
College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing 211816, Jiangsu, China.
Nanosecond pulse power has many driving advantages in the dielectric barrier discharge (DBD) application field, including better discharge effect, higher discharge efficiency, and lower electrode temperature. A high-voltage pulse voltage power supply (HV-PVPS) with a multi-turn ratio linear pulse transformer (PT) based on Marx circuit and PT topologies are suitable for most DBD plasma applications with fewer expansion modules, lower cost, smaller volume, and higher reliability comparing with the all-solid-state Marx nanosecond pulse power supply. However, during the process of DBD driven by an HV-PVPS based on Marx and PT topologies, the PT is prone to magnetic core saturation, which limits the application for DBD.
View Article and Find Full Text PDFJ Clin Invest
January 2025
Center for Inherited Myology Research, Virginia Commonwealth University, Richmond, United States of America.
Background: Myotonic dystrophy type 1 (DM1) is a multisystemic, CTG repeat expansion disorder characterized by a slow, progressive decline in skeletal muscle function. A biomarker correlating RNA mis-splicing, the core pathogenic disease mechanism, and muscle performance is crucial for assessing response to disease-modifying interventions. We evaluated the Myotonic Dystrophy Splice Index (SI), a composite RNA splicing biomarker incorporating 22 disease-specific events, as a potential biomarker of DM1 muscle weakness.
View Article and Find Full Text PDFInvest Ophthalmol Vis Sci
January 2025
Vitreous Retina Macula Consultants of New York, New York, United States.
Purpose: The purpose of this study was to develop ground-truth histology about contributors to variable fundus autofluorescence (FAF) signal and thus inform patient selection for treating geographic atrophy (GA) in age-related macular degeneration (AMD).
Methods: One woman with bilateral multifocal GA, foveal sparing, and thick choroids underwent 535 to 580 nm excitation FAF in 6 clinic visits (11 to 6 years before death). The left eye was preserved 5 hours after death.
Background: The cotton jassid, Amrasca biguttula, a dangerous and polyphagous pest, has recently invaded the Middle East, Africa and South America, raising concerns about the future of cotton and other food crops including okra, eggplant and potato. However, its potential distribution remains largely unknown, posing a challenge in developing effective phytosanitary strategies. We used an ensemble model of six machine-learning algorithms including random forest, maxent, support vector machines, classification and regression tree, generalized linear model and boosted regression trees to forecast the potential distribution of A.
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