Together with our partners @ZJU_China, Liangzhu Laboratory, we're thrilled to announce @CellSymposia Taking programmed cell death from mechanisms to interventions 📍Hangzhou, China 📆October 22–24, 2026 Visit our website: https://t.co/XZNqRzh59V #CSCellDeath26

Hear @EimearEKenny share her work “From categories to context: Rethinking ancestry for precision medicine” @CellSymposia #CSPrecisionGen25, Sept 17–19, 2025 San Diego, CA. 🔗Register here: https://t.co/NrS8jysr50

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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! 🔗 https://t.co/8XM3lKLd0m

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: https://t.co/t5CyZGs9QD

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: https://t.co/cfYlVXIrWm #KSMLStructure25

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

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

Shen et al. introduce SpaTrack to reconstruct cell differentiation trajectories from spatial transcriptomics data at single cell resolution within a spatial context by using optimal transport #BGI-Research @BGI_Genomics

Our February issue is online. On the cover: Regenerative trajectories of axolotl telencephalon regeneration inferred by SpaTrack using spatial transcriptomic data. https://t.co/3sbMgnaLoP

🚨 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:

"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' ➡️ https://t.co/WTkKRQXpgy

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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

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

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

Preview by Edmund C. Lattime and Subhajyoti De:

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Hirsch et al. use a stochastic model of gene expression evolution to study adaptation in melanoma subclones and uncover gene expression patterns associated with canonical and non-canonical Wnt signaling resulting in the proliferative & invasive phenotypes

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

Hoffman et al. demonstrate that a common ERK kinase translocation reporter (KTR) is also activated by CDK2, develop computational correction methods to subtract CDK2 signal, and present a new ERK KTR that does not show crosstalk with CDK2. @Spencer__Lab

Our first issue of 2025 is online! On the cover: Heatmap of temporal activity of ERK, measured using the modified ERK kinase translocation reporter and read out as cytoplasmic:nuclear ratio in single cells before and after treatment with 10 nM Trametinib. https://t.co/CUmFA93oyp

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: https://t.co/sFyp7yufvh #KSMLStructure25

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