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 cell.com/cell-systems Cambridge, MA Joined October 2014-
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Excited to hear @uarizona’s @DavidEnard share insights on “The genetic legacy of ancient viral epidemics in human host genomes” @CellSymposia #CSPrecisionGen25. Don’t miss it—register today! 🔗hubs.li/Q03FQqqq0
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Biotechnology plays a crucial role in areas such as healthcare, agriculture, environmental sustainability, and industrial processes. Journals across Cell Press have come together to share exciting papers in this growing field. Visit the collection: hubs.li/Q03mSZLK0
We were so excited to see the innovative science at @KeystoneSymp's Machine Learning Applied to Macromolecular Structure and Function! Access the content now on-demand: hubs.li/Q037Rg660 #KSMLStructure25
Cell Systems retweeted
1/ „What is the main bottleneck in deriving biological understanding from spatial transcriptomic profiling?" @CellSystemsCP asked a few of us for comments on this, I think quite cool read here at sciencedirect.com/science/articl…
We asked @MoffitLab, @DrMingyaoLi, Qing Nie @UCI_CMCF, @kazukane, @teichlab, Daniel Dar @WeizmannScience, @ltkagohara, @SItzkovitz, @roserventotormo, @ItaiYanai, @FertigLab, and @fabian_theis about the main bottlenecks facing Spatial Transcriptomics cell.com/cell-systems/a…
Cell Systems retweeted
🚨 Early Career Researchers 🚨 Don’t miss out on the Alma Dal Co School on Collective Behaviour (Sep 29 - Oct 4, 2025, Venice, Italy)! 🧬🌍 An interdisciplinary event with talks from 18 world-class experts #qbio! 🤝💡 ⏳ Deadline: Feb 28, 2025 Apply now: almadalcoschool.github.io
Cell Systems retweeted
"Scientists need to re-imagine their role in society, incorporating new models of public service & mutual learning with communities to ensure science remains relevant, impactful & transformative for society." - @Thumbi_Ndungu for @ImmunityCP 'service' ➡️ cell.com/immunity/fullt…
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 @thenormanlab 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 @andimscience cell.com/cell-systems/f…
Using active learning with MPRAs in the developing mouse retina, @rfriedman22 et al. train a CNN to distinguish between activating and repressing regulatory DNA elements composed of the same TF binding sites @genologos @CorboLab @WashUGenetics cell.com/cell-systems/f…
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 @sriram_lab cell.com/cell-systems/f…
Join our editor Dr. Ernesto Andrianantoandro at @KeystoneSymp'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
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 @SCUT1918 cell.com/cell-systems/f…
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