Yun C. Yung

TL;DR: A scalable approach to sequence and quantify RNA molecules in isolated neuronal nuclei from a postmortem brain, generating 3227 sets of single-neuron data from six distinct regions of the cerebral cortex demonstrates a robust and scalable method for identifying and categorizing single nuclear transcriptomes.

TL;DR: This work has provided valuable proof-of-concept data to support LPA receptors and LPA metabolic enzymes as targets for the treatment of medically important diseases that include neuropsychiatric disorders, neuropathic pain, infertility, cardiovascular disease, inflammation, fibrosis, and cancer.

TL;DR: Improved high-throughput methods for single-nucleus droplet-based sequencing and single-cell transposome hypersensitive site sequencing are reported, which revealed regulatory elements and transcription factors that underlie cell-type distinctions and mapped disease-associated risk variants to specific cellular populations, which provided insights into normal and pathogenic cellular processes in the human brain.

TL;DR: Receptor rescue and pharmacological experiments supported the loss of S1P1 on astrocytes through functional antagonism by FTY720-P as a primary FTY 720 mechanism and implicate S1p signaling pathways within the CNS as targets for multiple sclerosis therapies.

TL;DR: The potential of LPA receptor subtypes and related signaling mechanisms to provide novel therapeutic targets are underscored.