Disparities in Lupus and the Role of Social Determinants of Health: Current State of Knowledge and Directions for Future Research.

Systemic lupus erythematosus (SLE) is a chronic autoimmune disease. The complex relationships between race and ethnicity and social determinants of health (SDOH) in influencing SLE and its course are increasingly appreciated. Multiple SDOH have been strongly associated with lupus incidence and outcomes and contribute to health disparities in lupus.

Inference of cell type-specific gene regulatory networks on cell lineages from single cell omic datasets.

Cell type-specific gene expression patterns are outputs of transcriptional gene regulatory networks (GRNs) that connect transcription factors and signaling proteins to target genes. Single-cell technologies such as single cell RNA-sequencing (scRNA-seq) and single cell Assay for Transposase-Accessible Chromatin using sequencing (scATAC-seq), can examine cell-type specific gene regulation at unprecedented detail. However, current approaches to infer cell type-specific GRNs are limited in their ability to integrate scRNA-seq and scATAC-seq measurements and to model network dynamics on a cell lineage.

Identifying strengths and weaknesses of methods for computational network inference from single-cell RNA-seq data.

Single-cell RNA-sequencing (scRNA-seq) offers unparalleled insight into the transcriptional programs of different cellular states by measuring the transcriptome of thousands of individual cells. An emerging problem in the analysis of scRNA-seq is the inference of transcriptional gene regulatory networks and a number of methods with different learning frameworks have been developed to address this problem. Here, we present an expanded benchmarking study of eleven recent network inference methods on seven published scRNA-seq datasets in human, mouse, and yeast considering different types of gold standard networks and evaluation metrics.

A Provider-Based Approach to Address Racial Disparities in Lupus Clinical Trial Participation.

Objective: Substantial disparities exist in clinical trial participation, which is problematic in diseases such as lupus that disproportionately affect racial/ethnic minority populations. Our objective was to examine the effectiveness of an online educational course aiming to train medical providers to refer Black and Latino patients to lupus clinical trials (LCTs).

Methods: The American College of Rheumatology's Materials to Increase Minority Involvement in Clinical Trials (MIMICT) study used an online, randomized, 2-group, pretest/posttest design with medical and nursing providers of multiple specialties.

Modular derivation of diverse, regionally discrete human posterior CNS neurons enables discovery of transcriptomic patterns.

Our inability to derive the neuronal diversity that comprises the posterior central nervous system (pCNS) using human pluripotent stem cells (hPSCs) poses an impediment to understanding human neurodevelopment and disease in the hindbrain and spinal cord. Here, we establish a modular, monolayer differentiation paradigm that recapitulates both rostrocaudal (R/C) and dorsoventral (D/V) patterning, enabling derivation of diverse pCNS neurons with discrete regional specificity. First, neuromesodermal progenitors (NMPs) with discrete profiles are converted to pCNS progenitors (pCNSPs).