Single Cell Transcriptomics

PsychAD study maps single-cell gene activity in human brain across full lifespan

Researchers analyzed prefrontal cortex tissue from 284 neurotypical donors aged 0 to 97, drawn from the NIMH HBCC and Mount Sinai NIH Neurobiobank collections, to build a single-cell transcriptomic atlas. Donors were screened using neuropathology criteria such as CERAD and Braak scores to exclude Alzheimer's, Parkinson's, schizophrenia, bipolar disorder and cognitive impairment, and were grouped into developmental, young, middle and late adulthood categories.

nature.com · 2026-09-23

Reference list details recent AI models for predicting cell behavior, not a new product launch

The provided text is a bibliography of academic papers and preprints on computational and AI-based approaches to modeling cells, including foundation models for single-cell biology, perturbation prediction, and optimal transport methods for tracking cellular dynamics. It compiles work from research groups building toward what scientists call a 'virtual cell'—computational systems that simulate how cells respond to genetic or chemical changes. No new announcement, product, or specific finding is presented; it is purely a citation list.

nature.com · 2026-09-09