The Allen Institute for Cell Science today launched the Allen Integrated Cell, the world's first predictive and comprehensive 3D model of a live human cell. This new visualization of a large collection of human stem cells will allow researchers around the world to see structures inside a living cell together at the same time, providing a baseline for better understanding healthy cells and for studying human disease models.
Building off last year's launch of the Allen Cell Explorer, the Allen Integrated Cell comprises two different models that can predict the shape and location of cellular structures. The first, a probabilistic model, emerged from a machine learning approach that accurately predicts the most probable shape and location of structures in a cell based solely on the shape of that cell's plasma membrane and nucleus.
Our 2nd Allen Cell Methods video released: Ribonucleoprotein (RNP) transfection for gene editing hiPSCs
We have released a new Instructional Video.
To ensure researchers have success working with our cell lines, our Maggie Fuqua demonstrates our RNP transfection protocol for gene editing hiPSCs.
In addition to hosting a VR cell tour at booth #311 in the exhibitor hall, researchers from the Allen Institute for Cell Science will present in several venues including:
We have release the first in a new series of Instructional Videos!
To ensure researchers have success working with our human induced pluripotent stem cell lines in their lab, our Amanda Haupt highlights nuanced techniques and helpful tips while demonstrating our single cell passaging protocol. This process should take between fifteen and thirty minutes to complete and we recommend passaging a maximum of two cell lines at a time in parallel. Researchers can obtain our publicly available gene-edited fluorescently tagged cell lines through our Allen Cell Catalog.
Interphase and mitotic cell neighbors, imaged by our microscopes, enhanced by deep learning, and imagined by our illustrators to be enjoying a festive Washington winter.
Happy Holidays from all of us at the Allen Institute for Cell Science
We have released a new tutorial video. The 3D Cell Viewer is a tool in the Allen Cell Explorer for viewing thousands of 3D images of cellular structures and organelles.
Megan Riel-Mehan represents the Animated Cell group to present an overview of several major upgrades and an easier to use interface for the 3D Cell Viewer tool.
The Allen Institute for Cell Science has developed a tool for the prediction of fluorescently labeled structures in live cells solely from 3D brightfield microscopy images. This approach can be used to predict several structures of interest from the same 3D brightfield image, and can potentially be used in applications as diverse as cross-modal image registration, quantification of live cell imaging, and determination of cell state changes. This approach avoids use of fluorescence microscopy, typically used to identify subcellular structures, and the accompanying dyes and proteins are often expensive, time-consuming, and damaging to the cells.
Learn more about this project in our paper Three dimensional cross-modal image inference: label-free methods for subcellular structure prediction.
In addition to hosting booth #639 in the exhibitor hall, researchers from the Allen Institute for Cell Science will present in several venues including:
We look forward to seeing you at the 2017 ASCB | EMBO Meeting in Philadelphia December 2–6!
Five more fluorescently tagged hiPSC lines have been added to the Allen Cell Collection of GFP-tagged molecules. The new lines include 3 new cellular structures, an existing structure with an alternate fluorescent tag, and one structure with both mono- and bi-allelic versions.
Tubulin, labeling the microtubules, is now available with an mTagRFPt tag providing a red tag in addition to the already available mEGFP tagged version.
Centrosomes can now also be visualized with this red mTagRFPt label via the CETN2 line.
The Golgi is available for the first time in both a mono- and bi-allelic version (Golgi- ST6Gal1 –mEGFP – mono-allelic and Golgi- ST6Gal1 –mEGFP – bi-allelic). Please pay special attention when ordering either of these Golgi lines as the AICS number is now qualified with a three-digit clonal extension to help discriminate between the mono- and bi-allelic edits of the same structure.
The final line in this new batch targets the lysosome, with LAMP1 tagged using mEGFP.
These new additions are summarized below:
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