At the Allen Institute for Cell Science, we believe that understanding the organization of healthy, living cells and their changes during growth, differentiation and other processes is an essential starting point to understand cellular changes caused by disease. Now, the textbook cartoons of the human cells that we are familiar with are based more on imagination than on solid data. To develop the needed image-based cellular data, we are developing a pipeline to create large, high replicate data sets for us and other scientists in academia and industry to analyze, model, and generate new hypothesis about cellular behaviors. We use gene-edited hiPS cells, since they are diploid, relatively homogeneous, and can be induced to differentiate into many other cell types. In the first iteration, we are identifying the locations of the major cellular machines and signaling pathways using genome-edited fluorescently tagged proteins that we image with automated light microscopes. We are analyzing these image-data using statistical models.
The Institute is committed to open science. We will not only share all our data, tools, and other results with the scientific community but also will have an ongoing dialog on tools and questions to address. We depend on your input and feedback to build a pipeline that best complements the achievements and needs of the scientific community.
- to have a better understanding about the data and tools the Allen Institute for Cell Science produces and how to use them
- to discuss the principals and challenges of building a pipeline that combines gene editing, automated microscopy and image processing and modeling