Allen Institute for Cell Science announces the launch of the Allen Cell
Explorer: a one-of-a-kind portal and dynamic digital window into the human cell.
The website combines large-scale 3D imaging data, application of deep learning to create predictive models of cell organization, new gene-edited human stem cell lines and a growing suite of powerful analysis and visualization tools. The Allen Cell Explorer will be the platform for these and future publicly available resources created and shared by the Allen Institute for Cell Science.
New lines added to Allen Cell Collection
Six new fluroescently tagged hiPSC lines have been added to the Allen Cell Collection, available through the Coriell Cell Repository. The additions include beta-actin (labeling actin filaments), non-muscle myosin heavy chain 11B (actomyosin bundles), ZO-1 (tight junctions), Sec61-beta (endoplasmic reticulum), fibrillarin (nucleolus) and AAVS1 (cytoplasm). Learn more about these lines and the entire collection on our new Cell Catalog as part of the Allen Cell Explorer.
Visit Cell Catalog
Announcing the Allen Plasmid Collection
We have published a collection of 10 plasmids used to create our gene edited cell lines, which are now available through Addgene as the Allen Plasmid Collection. The plasmids can be used in many different human cell types, and we also provide guidance on how to make your own gene-tagging constructs using our methods.
Read blog post on Addgene
View paper describing creation of cell lines in bioRxiv
Join us at ISSCR 2017
Visit the Allen Institute for Cell Science at the International Society for Stem Cell Research annual meeting, held this year in Boston on June 16-19, 2017.
IN THE NEWS
Get a colorful 3-D view of human stem cells online with the Allen Cell Explorer
GeekWire, April 5, 2017
Paul Allen’s latest science project: a psychedelic way to peer inside cells
Seattle Times, April 5, 2017
Massive 3-D Cell Library Teaches Computers How to Find Mitochondria
WIRED, April 5, 2017
Machine learning predicts the look of stem cells
Nature, April 5, 2017
AI predicts the layout of human stem cells
Engadget, April 5, 2017