Publications by authors named "S Hugelier"
Article Synopsis
- Developmental gene regulation relies on long-range communication between enhancers and promoters, which is not fully understood without considering the surrounding chromatin.
- Researchers studied the Sonic hedgehog (Shh) regulatory region in mouse brains to understand its structural configurations, discovering that it often maintains a compact form that can adopt various layouts regardless of Shh expression.
- They found that long-range enhancer-promoter interactions occur through both dependent and independent mechanisms of Shh expression, involving specific binding sites and active enhancers, leading to a proposed model that coordinates gene expression patterns.
Fragile X messenger ribonucleoprotein (FMRP) is a critical regulator of translation, whose dysfunction causes fragile X syndrome. FMRP dysfunction disrupts mitochondrial health in neurons, but it is unclear how FMRP supports mitochondrial homoeostasis. Here we demonstrate that FMRP granules are recruited to the mitochondrial midzone, where they mark mitochondrial fission sites in axons and dendrites.
View Article and Find Full Text PDFLate endosomes/lysosomes (LELs) are crucial for numerous physiological processes and their dysfunction is linked to many diseases. Proteomic analyses have identified hundreds of LEL proteins; however, whether these proteins are uniformly present on each LEL, or if there are cell-type-dependent LEL subpopulations with unique protein compositions is unclear. We employed quantitative, multiplexed DNA-PAINT super-resolution imaging to examine the distribution of seven key LEL proteins (LAMP1, LAMP2, CD63, Cathepsin D, TMEM192, NPC1, and LAMTOR4).
View Article and Find Full Text PDFArticle Synopsis
- Single-molecule localization microscopy (SMLM) helps visualize very small subcellular structures clearly, but the tools to analyze these images efficiently are lacking.
- The new tool called Enhanced Classification of Localized Point clouds by Shape Extraction (ECLiPSE) uses machine learning to automatically classify the structures seen in SMLM images by examining their shapes, ensuring accurate measurements.
- ECLiPSE has been tested successfully with both unsupervised and supervised methods, showing high accuracy, and is being used to study protein aggregates linked to neurodegenerative diseases and differences in healthy versus depolarized mitochondria.
We present a way to encode more information in fluorescence imaging by splitting the original point spread function (PSF), which offers broadband operation and compatibility with other PSF engineering modalities and existing analysis tools. We demonstrate the approach using the 'Circulator', an add-on that encodes the fluorophore emission band into the PSF, enabling simultaneous multicolor super-resolution and single-molecule microscopy using essentially the full field of view.
View Article and Find Full Text PDF