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Positron emission tomography is a widely used imaging platform for studying physiological processes. Despite the proliferation of modern synthetic methodologies for radiolabeling, the optimization of these reactions still primarily relies on inefficient one-factor-at-a-time approaches. High-throughput experimentation (HTE) has proven to be a powerful approach for optimizing reactions in many areas of chemical synthesis. However, to date, HTE has rarely been applied to radiochemistry. This is largely because of the short lifetime of common radioisotopes, which presents major challenges for efficient parallel reaction setup and analysis using standard equipment and workflows. Herein, we demonstrate an effective HTE workflow and apply it to the optimization of copper-mediated radiofluorination of pharmaceutically relevant boronate ester substrates. The workflow utilizes commercial equipment and allows for rapid analysis of reactions for optimizing reactions, exploring chemical space using pharmaceutically relevant aryl boronates for radiofluorinations, and constructing large radiochemistry data sets.
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http://dx.doi.org/10.1021/jacs.3c14822 | DOI Listing |
Behav Brain Res
September 2025
Department of Cognitive Sciences, Faculty of Psychology and Education, University of Tehran, Tehran, Iran; School of Cognitive Sciences, Institute for Research in Fundamental Sciences (IPM), Niavaran, Tehran, Iran.
Working memory (WM) is a core cognitive mechanism necessary for adaptive behavior. In the last few decades, scientists have studied WM using rodent models through traditional and time-consuming approaches, such as the Radial Arm Maze and the T-Maze. While these traditional tools have presented fundamental understanding, their dependence on manual operations restrains experimental precision and scalability.
View Article and Find Full Text PDFJ Control Release
September 2025
Institute of Biomedical Engineering, University of Toronto, Toronto, Ontario M5S 3G9, Canada; The Keenan Research Centre for Biomedical Science of St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario M5B 1T8, Canada; Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario M
Microfluidic hydrodynamic focusing (HF) has emerged as a powerful platform for the controlled synthesis of lipid nanoparticles (LNPs) and liposomes, offering superior precision, reproducibility, and scalability compared to traditional batch methods. However, the impact of HF inlet configuration and channel geometry on nanoparticle formation remains poorly understood. In this study, we present a comprehensive experimental and computational analysis comparing 2-inlet (2-way) and 4-inlet (4-way) HF designs across various sheath inlet angles (45°, 90°, 135°) and cross-sectional geometries (square vs.
View Article and Find Full Text PDFCell Rep Methods
September 2025
Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland; Institute of Molecular Health Sciences, ETH Zurich, Zurich, Switzerland. Electronic address:
In cancer research, multiplexed imaging allows detailed characterization of the tumor microenvironment (TME) and its link to patient prognosis. The integrated immunoprofiling of large adaptive cancer patient cohorts (IMMUcan) consortium collects multi-modal imaging data from thousands of patients with cancer to perform broad molecular and cellular spatial profiling. Here, we describe and compare two workflows for multiplexed immunofluorescence (mIF) and imaging mass cytometry (IMC) developed within IMMUcan to enable the generation of standardized data for cancer tissue analysis.
View Article and Find Full Text PDFJ Chem Inf Model
September 2025
Department of Chemistry, Delaware State University, Dover, Delaware 19901, United States.
The calculation of the highest occupied molecular orbital-lowest unoccupied molecular orbital (HOMO-LUMO) gap for chemical molecules is computationally intensive using quantum mechanics (QM) methods, while experimental determination is often costly and time-consuming. Machine Learning (ML) offers a cost-effective and rapid alternative, enabling efficient predictions of HOMO-LUMO gap values across large data sets without the need for extensive QM computations or experiments. ML models facilitate the screening of diverse molecules, providing valuable insights into complex chemical spaces and integrating seamlessly into high-throughput workflows to prioritize candidates for experimental validation.
View Article and Find Full Text PDFJCO Precis Oncol
September 2025
Cell Biology and Biotherapy Unit, Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, Napoli, Italy.
Purpose: Tumor comprehensive genomic profiling (CGP) may detect potential germline pathogenic/likely pathogenic (P/LP) alterations as secondary findings. We analyzed the frequency of potentially germline variants and large rearrangements (LRs) in the RATIONAL study, an Italian multicenter, observational clinical trial that collects next-generation sequencing-based tumor profiling data, and evaluated how these findings were managed by the enrolling centers.
Patients And Methods: Patients prospectively enrolled in the pathway-B of the RATIONAL study and undergoing CGP with the FoundationOne CDx assays were included in the analysis.