Mining single-cell data for cell type-disease associations.

A robust understanding of the cellular mechanisms underlying diseases sets the foundation for the effective design of drugs and other interventions. The wealth of existing single-cell atlases offers the opportunity to uncover high-resolution information on expression patterns across various cell types and time points. To better understand the associations between cell types and diseases, we leveraged previously developed tools to construct a standardized analysis pipeline and systematically explored associations across four single-cell datasets, spanning a range of tissue types, cell types and developmental time periods.

Implementation of an HIV Prevention Intervention at Historically Black Colleges and Universities and Predominantly Black Institutions.

Black Americans and the Southern United States are disproportionately represented in the HIV epidemic. Historically Black Colleges and Universities (HBCUs) and Predominantly Black Institutions (PBIs), often located in communities that have been historically underserved, are uniquely positioned to implement HIV prevention interventions focused on Black young adults. The purpose of the current study was to conduct a qualitative study, using the Consolidated Framework for Implementation Research (CFIR) model as a guide, to identify the barriers and facilitators to implementing an HIV intervention pre- and post-implementation.

Awareness, knowledge, and willingness to take PrEP among Black students attending Historically Black Colleges and Universities and Minority Serving Institutions.

Objective: A mixed-methods study exploring PrEP (Pre-exposure Prophylaxis) access, services, and acceptance among Black college students at Historically Black Colleges and Universities (HBCUs) and Minority Serving Institutions MSIs in Georgia was conducted.

Participants: This study included faculty, administrators, and staff and Black students aged (18 - 24) from three HBCUs and one MSI.

Methods: The research utilized key informant interviews ( = 17), focus groups ( = 7) a student survey ( = 163).

Cyclic Peptide C5aR1 Antagonist Design Using Solution Conformational Analysis Derived from Residual Dipolar Couplings.

To gain further insight into the conformational properties of small cyclic peptides that bind to the G-protein coupled receptor C5aR1, we report here for the first time the elucidation of three peptide solution conformations using residual dipolar couplings and NMR temperature coefficients. Each of these peptides varies by at least one amino acid, adopts a different intramolecular hydrogen bonding pattern, and has a different solution conformation. The solution conformations were used in combination with a homology structure of C5aR1 as a design template for increasing the potency of peptide leads for the C5a receptor.