
Cell Systems
@cellsystemscp
A monthly, peer-reviewed journal from Cell Press devoted to Systems Biology. Posts from the Editors. We are on Bluesky @cp-cellsystems.bsky.social
ID: 2848259962
http://www.cell.com/cell-systems 28-10-2014 14:09:31
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Yang et al. enhance fitness control of E. coli through ensemble modeling and multiplexed CRISPRi with a compact Cas12m and RiboJ insulator, effectively bypassing intrinsic resistance against conventional killing mechanisms for containment South China University of Technology - SCUT cell.com/cell-systems/f…

Join our editor Dr. Ernesto Andrianantoandro at Keystone Symposia's, Machine Learning Applied to Macromolecular Structure and Function. Scholarship, abstract submissions, and early registration are still open! Register today: hubs.li/Q030_p2f0 #KSMLStructure25


Lin et al. use machine learning and metabolic modeling to infer cellular objectives from multi-omics data, revealing trade-offs between stress protection and growth in embryonic development Chandrasekaran lab cell.com/cell-systems/f…

Using active learning with MPRAs in the developing mouse retina, Ryan Z Friedman, PhD et al. train a CNN to distinguish between activating and repressing regulatory DNA elements composed of the same TF binding sites Mike White Corbo Lab at Washington University in St. Louis WashU Medicine Genetics cell.com/cell-systems/f…

Nagano et al. present SCEPTR , a TCR language model with a pre-training strategy combining autocontrastive learning and masked-language modeling, to predict TCR specificity, outperforming existing language models and sequence-based methods Andreas Tiffeau-Mayer cell.com/cell-systems/f…

Metzner et al. present Multiome Perturb-seq, extending single-cell CRISPR screens to simultaneously quantify perturbation effects on the epigenome and transcriptome in a scalable way, describing the integrated effects on cell state Thomas Norman cell.com/cell-systems/f…



1/ „What is the main bottleneck in deriving biological understanding from spatial transcriptomic profiling?" Cell Systems asked a few of us for comments on this, I think quite cool read here at sciencedirect.com/science/articl…

We asked @MoffitLab, Mingyao Li, Qing Nie @uci_cmcf, Kazumasa Kanemaru, Teichlab, Daniel Dar Weizmann Institute, Luciane T Kagohara 🇧🇷🧬👩🏻🔬👩🏻💻, shalev itzkovitz, roser, Itai Yanai, @FertigLab, and Fabian Theis about the main bottlenecks facing Spatial Transcriptomics cell.com/cell-systems/a…

We were so excited to see the innovative science at Keystone Symposia's Machine Learning Applied to Macromolecular Structure and Function! Access the content now on-demand: hubs.li/Q037Rg660 #KSMLStructure25

