Massively parallel characterization of transcriptional regulatory elements.

The human genome contains millions of candidate cis-regulatory elements (cCREs) with cell-type-specific activities that shape both health and many disease states. However, we lack a functional understanding of the sequence features that control the activity and cell-type-specific features of these cCREs. Here we used lentivirus-based massively parallel reporter assays (lentiMPRAs) to test the regulatory activity of more than 680,000 sequences, representing an extensive set of annotated cCREs among three cell types (HepG2, K562 and WTC11), and found that 41.

Transition of patients with systemic lupus erythematosus from pediatric to adult-oriented rheumatology care.

Background/aim: The transition from pediatric to adult-oriented care for individuals with juvenile-onset systemic lupus erythematosus (SLE) poses significant challenges. This study aimed to assess the outcomes of transitioning patients with juvenile-onset SLE from pediatric to adult-oriented care.

Materials And Methods: Patients with juvenile-onset SLE were included in the study.

A rare disease with many faces: A multicenter registry of IgG4-related disease in children.

Objectives: We aimed to report the characteristics of pediatric IgG4-related disease (IgG4-RD) through a multicentre registry, to assess disease clusters, and to evaluate the performances of the 2019 American College of Rheumatology and European League Against Rheumatism (ACR/EULAR) classification criteria and the 2020 revised comprehensive diagnostic (RCD) criteria in this cohort.

Methods: Data of IgG4-RD patients in 13 pediatric rheumatology centers were recorded to a web-based registration system. The diagnosis of IgG4-RD was made according to the 2011 comprehensive diagnostic criteria.

Single-cell DNA methylation analysis tool Amethyst reveals distinct noncanonical methylation patterns in human glial cells.

Single-cell sequencing technologies have revolutionized biomedical research by enabling deconvolution of cell type-specific properties in highly heterogeneous tissue. While robust tools have been developed to handle bioinformatic challenges posed by single-cell RNA and ATAC data, options for emergent modalities such as methylation are much more limited, impeding the utility of results. Here we present Amethyst, a comprehensive R package for atlas-scale single-cell methylation sequencing data analysis.