Cancellations in primary care in the Veterans Affairs Health Care System.

Objectives: Unused medical appointments affect both patient care and clinic operations, and the frequency of cancellations due to clinic reasons is underreported. The prevalence of these unused appointments in primary care in the Veterans Affairs Health Care System (VA) is unknown. This study examined the prevalence of unused primary care appointments and compared the relative frequency of cancellations and no-shows for patient and clinic reasons.

Modeling Biases from Low-Pass Genome Sequencing to Enable Accurate Population Genetic Inferences.

Low-pass genome sequencing is cost-effective and enables analysis of large cohorts. However, it introduces biases by reducing heterozygous genotypes and low-frequency alleles, impacting subsequent analyses such as model-based demographic history inference. Several approaches exist for inferring an unbiased allele frequency spectrum (AFS) from low-pass data, but they can introduce spurious noise into the AFS.

Spatiotemporal transcriptome and metabolome landscapes of cotton somatic embryos.

Somatic embryogenesis (SE) is a developmental process related to the regeneration of tissue-cultured plants, which serves as a useful technique for crop breeding and improvement. However, SE in cotton is difficult and elusive due to the lack of precise cellular level information on the reprogramming of gene expression patterns involved in somatic embryogenesis. Here, we investigate the spatial and single-cell expression profiles of key genes and the metabolic patterns of key metabolites by integrated single-cell RNA-sequencing (scRNA-seq), spatial transcriptomics (ST), and spatial metabolomics (SM).

Spatiotemporal transcriptome and metabolome landscapes of cotton fiber during initiation and early development.

Cotton fibers are single cells that develop from the epidermal cells in the outer integument of developing seeds. The processes regulating fiber cell development have been extensively studied; however, the spatiotemporal transcriptome and metabolome profiles during the early stages of fiber development remain largely unknown. In this study, we profile the dynamics of transcriptome and metabolome during the early stages of cotton fiber cell development using a combination of spatial transcriptomic, single-cell transcriptomic, and spatial metabolomic analyses.

Recommended Opioid Receptor Tool Compounds: Comparative for Receptor Selectivity Profiles and for Pharmacological Antinociceptive Profiles.

Opioid agonist ligands bind opioid receptors and stimulate downstream signaling cascades for various biological processes including pain and reward. Historically, before cloning the receptors, muscle contraction assays using isolated organ tissues were used followed by radiolabel ligand binding assays on native tissues. Upon cloning of the opioid G protein-coupled receptors (GPCRs), cell assays using transfected opioid receptor DNA plasmids became the standard practice including S-GTPγS functional and cAMP based assays.