A
#SingleCellAtlas of
#Drosophila #GlialCells reveals that glial morphological diversity exceeds transcriptional diversity, begging the question of how
#glia acquire their diverse shapes @fernandesflylab @SD_Ackerman &co
#PLOSBiology https://plos.io/3s4wAb8
A Drosophila glial cell atlas reveals a mismatch between transcriptional and morphological diversity
Both neurons and glia exhibit morphological diversity, and for neurons, transcriptional and morphological diversity correlate well with each other. This study generates a Drosophila single cell atlas of glial cells, revealing that glial morphological diversity exceeds transcriptional diversity, and begging the question of how glia acquire their diverse shapes.
With an international research team, Fabian Theis, Professor of Mathematical Modeling of Biological Systems, created a #SingleCellAtlas of the #HumanLung using #AI-based techniques. It offers a unique picture of how diseased lungs differ from healthy ones: http://go.tum.de/258510
#machinelearning #datascience
📷A.Eckert
First Integrated Single-Cell Atlas of the Human Lung
Can a human organ be mapped on a single-cell level, to learn about the functionality of each individual cell? And can we learn how different these cells are from person to person? International researchers have taken up this challenge and developed the Human Lung Cell Atlas, using artificial intelligence (AI)-based techniques. This atlas elucidates the diversity of single lung cell types and allows learning about lung biology in health and disease.
PLOS Biology
Technische Universität München