Xiao Li

TL;DR: A systematic analysis of the RNA motifs recognized by RNA-binding proteins, encompassing 205 distinct genes from 24 diverse eukaryotes, provides an unprecedented overview of RNA- binding proteins and their targets, and constitute an invaluable resource for determining post-transcriptional regulatory mechanisms in eukARYotes.

TL;DR: Wearable devices were useful in identification of early signs of Lyme disease and inflammatory responses and developed a personalized, activity-based normalization framework to identify abnormal physiological signals from longitudinal data for facile disease detection, and wearables distinguish physiological differences between insulin-sensitive and -resistant individuals.

TL;DR: This functionally non-equivalent yet cooperative interaction between Wnt and RSPO ligands establishes a molecular precedent for regulation of mammalian stem cells by distinct priming and self-renewal factors, with broad implications for precise control of tissue regeneration.

TL;DR: It is shown that data from consumer smartwatches can be used for the pre-symptomatic detection of coronavirus disease 2019 (COVID-19), and suggested that activity tracking and health monitoring via consumer wearable devices may beUsed for the large-scale, real-time detection of respiratory infections, often pre-Symptomatically.

TL;DR: A new motif-finding algorithm is introduced that identifies accessible sequence-specific RBP motifs from in vivo binding data that suggests a greater than previously anticipated role for intrinsic mRNA secondary structure in determining RBP binding target preference.