Kit-mediated autophagy suppression driven by a viral oncoprotein emerges as a crucial survival mechanism in Merkel cell carcinoma by Hao Shi (158171)

“…</p> <p><b>Abbreviation</b>: 3-MA, 3-methyladenine; AL, autolysosome; AP, autophagosome; Baf-A1, bafilomycin A₁; BARA, β-α repeated autophagy specific domain; BH3, BCL2 homology 3 domain; CCD, coiled-coil domain; CHX, cycloheximide; Co-IP, co-immunoprecipitation; CQ, chloroquine; CTR, control; DAPI, 4′,6-diamidino-2-phenylindole; EBSS, Earle’s balanced salt solution; ECD, evolutionarily conserved domain; EEE, three-tyrosine phosphomimetic mutations Y229E Y233E Y352E; ER, endoplasmic reticulum; FFF, three-tyrosine non-phosphomimetic mutations; FFPE, formalin-fixed paraffin-embedded; FL, full-length; GIST, gastrointestinal stromal tumor; IB, immunoblotting; IHC, immunohistochemistry; KIT-HEK293, KIT stably expressing HEK293 cells; KRT20/CK20, keratin 20; LT, large T-antigen; LT339, MCPyV truncated LT antigen; LTco, codon-optimized MCPyV LT antigen; MCC, Merkel cell carcinoma; MCPyV⁻, MCPyV-negative; MCPyV, Merkel cell polyomavirus; MCPyV⁺, MCPyV-positive; PARP1, poly(ADP-ribose) polymerase 1; PCI, pan-caspase inhibitor; PI, propidium iodide; PtdIns3K, class III phosphatidylinositol 3-kinase; PtdIns3P, phosphatidylinositol-3-phosphate; RB1, RB transcriptional corepressor 1; RTKs, receptor tyrosine kinases; KITLG/SCF, KIT ligand; sT, small T-antigen; sTco, codon-optimized MCPyV sT antigen; T-B, Tat-BECN1; T-S, Tat-scrambled; TEM, transmission electron microscopy.…”

The importance of entry criteria from the point of view of the SD method ‐ combination A. by Roman Vavrek (13200141)

Map of all Raw Material Catchment Areas (RMCA) from sites dated to GI-1d-a that were collected from the literature (n =  108). Several RMCAs were excluded from further analysis (se... by Isabell Schmidt (6331013)

<b>The loss of insulin-positive cell clusters precedes the decrease of islet frequency and beta cell area in type 1 diabetes</b> by Denise M. Drotar (21679539)

“…Insulin-positive (INS+) single cells (≤10µm), cell clusters (>10 to <35µm), small- and medium-sized islets (35-100µm and 100-200µm) were significantly lost at type 1 diabetes onset, while large INS+ islets (>200µm) were preserved. Moreover, changes in endocrine composition also occurred in mAAb+ donors, including a significant decrease in the INS+ islet fraction. …”

(a) A single Phase Contrast image of HEK cells from our PBL-HEK dataset, (b) annotated manually by an expert, (c) automatically annotated by Meta’s SAM-huge model, and (d) automati... by Alexandra Dunnum VandeLoo (22209218)

Data from: Spillage and food dust do not decrease efficacy of long-lasting insecticide-incorporated netting against stored product insects by Sabita Ranabhat (17484660)

Proportion of large and small EEFs over time in the different culture conditions and for each biological replicate. by Erica M. Pasini (3146643)

“…Drug-treated <i>P. cynomolgi</i> biological replicates on day 9 show a continued decrease in EEFs. The enrichment in hypnozoites (small EEF) peaks at day 11. …”

Table 1_Ultrasonographic assessment of optic nerve sheath diameter on the affected and unaffected sides as a predictor of clinical deterioration at discharge in patients with large... by Changlan Li (704841)

“…Background and objectives<p>Progressive cerebral edema worsens prognosis in large hemispheric infarction (LHI). Ultrasonographic optic nerve sheath diameter (ONSD) measurement provides a non-invasive method for estimating intracranial pressure. …”

Benchmarking DFT Accuracy in Predicting O 1s Binding Energies on Metals by Elizabeth E. Happel (22391811)

“…We find that as the binding energies of metal-bound atomic oxygen species increase, especially above ≈530 eV, there is a general decrease in the accuracy of DFT-predicted values. …”

Benchmarking DFT Accuracy in Predicting O 1s Binding Energies on Metals by Elizabeth E. Happel (22391811)

“…We find that as the binding energies of metal-bound atomic oxygen species increase, especially above ≈530 eV, there is a general decrease in the accuracy of DFT-predicted values. …”

Description of results of SD-TOPSIS application (combination A) using selected moment characteristics. by Roman Vavrek (13200141)

Table 1_Cholesterol metabolic reprogramming drives the onset of DLBCL and represents a promising therapeutic target.docx by Lili Zhou (265076)

“…Bioinformatics analysis revealed a strong correlation between these markers and elevated CD36 expression. …”

Feasibility of AI-powered assessment scoring: Can large language models replace human raters? by Michael Jaworski III (22156096)

“…<p><b>Objective:</b> To assess the feasibility, accuracy, and reliability of using ChatGPT-4.5 (early-access), a large language model (LLM), for automated scoring of Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS) protocols. …”

Data Sheet 1_Cholesterol metabolic reprogramming drives the onset of DLBCL and represents a promising therapeutic target.docx by Lili Zhou (265076)

“…Bioinformatics analysis revealed a strong correlation between these markers and elevated CD36 expression. …”

Maps (left) and diagrams (right) from the definition of the Core Areas based on the sites dated to Greenland Stadial (GS) 1. The maps of dataset A (upper, sites n = 1003) and datas... by Isabell Schmidt (6331013)

Photomicrographs of H&E-stained cerebellum sections from control and different pregnant mothers: control (A & B) and BM (C & D) groups, showing normal histological structure of the... by Amoura M. Abou-El-Naga (21001524)

A set of 4 criteria for the needs of multi-criteria evaluation ‐ combinations B1– B5. by Roman Vavrek (13200141)

A set of 3 criteria for the needs of multi-criteria evaluation ‐ combinations C1–C10. by Roman Vavrek (13200141)

A set of 2 criteria for the needs of multi-criteria evaluation ‐ combinations D1–D10. by Roman Vavrek (13200141)

Overview of the parameters used in the model. by Albertus Constantijn Sloof (20405090)

“…<div><p>Background</p><p>Chikungunya virus (CHIKV) outbreaks, driven by the expanding habitat of the <i>Aedes albopictus</i> mosquito and global climate change, pose a significant threat to public health. Our study evaluates the effectiveness of emergency vaccination using a dynamic disease transmission model for a potential large-scale outbreak in Rome, Italy.…”