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Peltier, S.

Publications and source records attributed to Peltier, S..

5 recordsLinked to original sources

Development of a Charge-Resistant Embedding Media for High-Performance Serial Block Face Imaging of Cells and Tissues

Serial block-face scanning electron microscopy (SBEM) enables high-resolution 3D imaging of biological specimens but is often limited by specimen charging due to the use of non-conductive epoxy resins. While heavy metal staining and variable-pressure SEM can reduce charging, these methods compromise resolution or are only partially effective. We report a novel approach using polyethylene glycol (PEG 3350), a water-soluble, non-conductive polymer, as a doping agent to reduce specimen charging without sacrificing imaging quality. Although PEG 3350 alone lacks the mechanical and sectioning properties required for SBEM, we found it can be dissolved in standard Durcupan epoxy resin to improve charge resistance while maintaining physical integrity. Resins doped with 10% PEG 3350 demonstrated a substantial reduction in charging at 1.4-1.8 keV in charge-prone samples such as cultured HeLa cells, lung, and brain tissues, while retaining transparency and sectionability. Unlike other methods, the doped resin performs in high vacuum without compromising signal-to-noise ratio or spatial resolution. Notably, the PEG-doped resin reduced charging at voltages above the typical threshold for undoped resins, which show artifacts above 1.0 keV. Though some charging persisted in lung tissue at 2.0 keV, near-complete mitigation was achieved at slightly lower voltages. Our findings suggest that PEG-doped resins provide a promising route to minimize specimen charging in SBEM, and future studies optimizing PEG molecular weight and concentration could yield a universally charge-resistant embedding medium compatible with high-resolution imaging across diverse sample types.

cell biology↗

VEXAS anemia is a mosaic erythroblastopenia

VEXAS (vacuoles, E1 enzyme, X-linked, autoinflammatory, somatic) is a recently discovered autoinflammatory disorder linked to somatic mutations in the UBA1 gene, resulting in a profound cytoplasm-restricted defect in ubiquitylation. The disease is characterized by a macrocytic anemia that remains poorly understood. To investigate the erythroid lineage in VEXAS, we conducted a comprehensive study combining in vivo assessments of patients mature red cells and marrow erythroblasts, alongside in vitro base-editing models of erythropoiesis. Here we show that mature red cells do not exhibit ubiquitylation defects, and patient-derived bone marrow erythroblasts lack UBA1 mutations beyond the basophilic stage of erythroid differentiation. In vitro base editing of UBA1 variants in CD34+ primary cells resulted in high mortality during early erythroid differentiation, but not during monocytic differentiation. Edited erythroid precursors displayed TP53 overexpression linked to defective ubiquitylation and anomalies in ribosome biogenesis, reminiscent of Diamond-Blackfan anemia. We propose that VEXAS-associated anemia should be considered as a mosaic erythroblastopenia, where the severity of anemia is influenced by the quality and quantity of the UBA1-WT compartment. These insights may aid clinicians in tailoring treatment strategies.

cell biology↗

Proteostasis and metabolic dysfunction in a distinct subset of storage-induced senescent erythrocytes targeted for clearance

Although refrigerated storage slows the metabolism of volunteer donor RBCs, cellular aging still occurs throughout this in vitro process, which is essential in transfusion medicine. Storage-induced microerythrocytes (SMEs) are morphologically-altered senescent RBCs that accumulate during storage and which are cleared from circulation following transfusion. However, the molecular and cellular alterations that trigger clearance of this RBC subset remain to be identified. Using a staining protocol that sorts long-stored SMEs (i.e., CFSEhigh) and morphologically-normal RBCs (CFSElow), these in vitro aged cells were characterized. Metabolomics analysis identified depletion of energy, lipid-repair, and antioxidant metabolites in CFSEhigh RBCs. By redox proteomics, irreversible protein oxidation primarily affected CFSEhigh RBCs. By proteomics, 96 proteins, mostly in the proteostasis family, had relocated to CFSEhigh RBC membranes. CFSEhigh RBCs exhibited decreased proteasome activity and deformability; increased phosphatidylserine exposure, osmotic fragility, and endothelial cell adherence; and were cleared from the circulation during human spleen ex vivo perfusion. Conversely, molecular, cellular, and circulatory properties of long-stored CFSElow RBCs resembled those of short-stored RBCs. CFSEhigh RBCs are morphologically and metabolically altered, have irreversibly oxidized and membrane-relocated proteins, and exhibit decreased proteasome activity. In vitro aging during storage selectively alters metabolism and proteostasis in SMEs, targeting these senescent cells for clearance.

cell biology↗

CDeep3M-Preview: Online segmentation using the deep neural network model zoo

Sharing deep neural networks and testing the performance of trained networks typically involves a major initial commitment towards one algorithm, before knowing how the network will perform on a different dataset. Here we release a free online tool, CDeep3M-Preview, that allows end-users to rapidly test the performance of any of the pre-trained neural network models hosted on the CIL-CDeep3M modelzoo. This feature makes part of a set of complementary strategies we employ to facilitate sharing, increase reproducibility and enable quicker insights into biology. Namely we: (1) provide CDeep3M deep learning image segmentation software through cloud applications (Colab and AWS) and containerized installations (Docker and Singularity) (2) co-hosting trained deep neural networks with the relevant microscopy images and (3) providing a CDeep3M-Preview feature, enabling quick tests of trained networks on user provided test data or any of the publicly hosted large datasets. The CDeep3M-modelzoo and the cellimagelibrary.org are open for contributions of both, trained models as well as image datasets by the community and all services are free of charge.

neuroscience↗

Brain Connectivity Tracks Effects of Chemotherapy Separately from Behavioral Measures

Several studies in cancer research have suggested that cognitive dysfunction following chemotherapy, referred to in lay terms as \"chemobrain\", is a serious problem. At present, the changes in integrative brain function that underlie such dysfunction remains poorly understood. Recent developments in neuroimaging suggest that patterns of functional connectivity can provide a broadly applicable neuromarker of cognitive performance and other psychometric measures. The current study used multivariate analysis methods to identify patterns of disruption in resting state functional connectivity of the brain due to chemotherapy and the degree to which the disruptions can be linked to behavioral measures of distress and cognitive performance. Sixty two women (22 healthy control, 18 patients treated with adjuvant chemotherapy, and 22 treated without chemotherapy) were evaluated with neurocognitive measures followed by self-report questionnaires and open eyes resting-state fMRI scanning at three time points: diagnosis (M0, pre-adjuvant treatment), at least 1 month (M1), and 7 months (M7) after treatment. The results indicated deficits in cognitive health of breast cancer patients immediately after chemotherapy that improved over time. This psychological trajectory was paralleled by a disruption and later recovery of resting-state functional connectivity, mostly in the parietal and frontal brain regions. The functional connectivity alteration pattern seems to be a separable treatment symptom from the decreased cognitive health. More targeted support for patients should be developed to ameliorate these multi-faceted side effects of chemotherapy treatment on neural functioning and cognitive health.

neuroscience↗