Predictors of Ever Using Marijuana among U.S. First Responders.

Objective: Estimate ever using marijuana in a sample of U.S. career first responders.

High-throughput drug screening identifies SMAC mimetics as enhancers of NK cell cytotoxicity in chronic myeloid leukemia.

Natural killer (NK) cells have proven to be safe and effective immunotherapies, associated with favorable treatment responses in chronic myeloid leukemia (CML). Augmenting NK cell function with oncological drugs could improve NK cell-based immunotherapies. Here, we used a high-throughput drug screen consisting of over 500 small-molecule compounds to systematically evaluate the effects of oncological drugs on primary NK cells against CML cells.

Predicting the polyspecificity of aminoacyl-tRNA synthetase for non-canonical amino acids using molecular dynamics simulation and MM/PBSA.

With the advancement of genetic code expansion, the field is progressing towards incorporating multiple non-canonical amino acids (ncAAs). The specificity of aminoacyl-tRNA synthetases (aaRSs) towards ncAAs is a critical factor, as engineered aaRSs frequently show polyspecificity, complicating the precise incorporation of multiple ncAAs. To address this challenge, predicting binding affinity can be beneficial.

Ultrasensitive detection of intact SARS-CoV-2 particles in complex biofluids using microfluidic affinity capture.

Measuring virus in biofluids is complicated by confounding biomolecules coisolated with viral nucleic acids. To address this, we developed an affinity-based microfluidic device for specific capture of intact severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Our approach used an engineered angiotensin-converting enzyme 2 to capture intact virus from plasma and other complex biofluids.

Transcriptional determinants of goal-directed learning and representational drift in the parahippocampal cortex.

Task learning involves learning associations between stimuli and outcomes and storing these relationships in memory. While this information can be reliably decoded from population activity, individual neurons encoding this representation can drift over time. The circuit or molecular mechanisms underlying this drift and its role in learning are unclear.