eLife reviews preprints in the life sciences and medicine.

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  1. S1PR1 signaling biases neutrophils toward long-lived low-inflammatory functional states

    1. Yueh-Chien Lin
    2. Takahiro Seno
    3. Alan Y. Hsu
    4. Andréane Cartier
    5. Andrew Kuo
    6. Michel V Levesque
    7. Avishek Ghosh
    8. Ingo Fohmann
    9. Victoria A. Blaho
    10. Sylvain Galvani
    11. Reed Crocker
    12. Samuel W Kazer
    13. José Ordovás–Montañés
    14. Hongbo R. Luo
    15. Timothy Hla

    • Curated by eLife

      eLife Assessment

      This manuscript examines how overexpression of sphingosine 1-phosphate receptor 1 in a mouse model affects neutrophil distribution, metabolism and function. Given the significance of S1PR1 in inflammatory mechanisms, this work is valuable for uncovering novel aspects of S1PR1 signaling in neutrophil dynamics and function. The evidence provided is solid as it integrates single-cell transcriptomics, flow cytometry, and multiple in vivo studies. This work also raises key questions about distinct physiological and pathophysiological roles of S1PR1 signaling in neutrophils that could become therapeutic targets.

    Reviewed by eLife

    5 evaluationsAppears in 1 listLatest version Latest activity

  2. HSSM: A Widely Applicable Toolbox for Hierarchical Bayesian Neurocognitive Modeling

    1. Alexander Fengler
    2. Yang Xu
    3. Krishn Bera
    4. Carlos Paniagua
    5. Aisulu Omar
    6. Michael J. Frank

    • Curated by eLife

      eLife Assessment

      This valuable work introduces HSSM, a flexible and modular Python toolbox for hierarchical Bayesian estimation of sequential sampling models. By combining model simulation, neural likelihood approximation, established inference backends, formula-based regression, and support for trial-level covariates, HSSM could become a widely used resource in cognitive and computational neuroscience. Evidence for the framework's scope and core functionality is convincing, but support for its usability, computational performance, and reliability is incomplete. The contribution would be substantially strengthened by an executable end-to-end analysis, clearer exposition for non-specialists, parameter and model recovery demonstrations, guidance on diagnostics and model comparison, quantitative benchmarks, and a clearer delineation of HSSM's scope relative to broader claims about neurocognitive modelling.

    Reviewed by eLife

    3 evaluationsAppears in 1 listLatest version Latest activity
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