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  1. MerQuaCo: a computational tool for quality control in image-based spatial transcriptomics

    1. Naomi Martin
    2. Paul Olsen
    3. Jacob Quon
    4. Jazmin Campos
    5. Nasmil Valera Cuevas
    6. Josh Nagra
    7. Marshall VanNess
    8. Zoe Maltzer
    9. Emily C Gelfand
    10. Alana Oyama
    11. Amanda Gary
    12. Yimin Wang
    13. Angela Alaya
    14. Augustin Ruiz
    15. Cade Reynoldson
    16. Cameron Bielstein
    17. Christina Alice Pom
    18. Cindy Huang
    19. Cliff Slaughterbeck
    20. Elizabeth Liang
    21. Jason Alexander
    22. Jeanelle Ariza
    23. Jocelin Malone
    24. Jose Melchor
    25. Kaity Colbert
    26. Krissy Brouner
    27. Lyudmila Shulga
    28. Melissa Reding
    29. Patrick Latimer
    30. Raymond Sanchez
    31. Stuard Barta
    32. Tom Egdorf
    33. Zachary Madigan
    34. Chelsea M Pagan
    35. Jennie L Close
    36. Brian Long
    37. Michael Kunst
    38. Ed S Lein
    39. Hongkui Zeng
    40. Delissa McMillen
    41. Jack Waters

    • Curated by eLife

      eLife Assessment

      This study provides a valuable contribution to spatial transcriptomics by introducing MerQuaCo, a computational tool for standardizing quality control in image-based spatial transcriptomics datasets. The tool addresses the lack of consensus in the field and provides robust metrics to identify and quantify common imperfections in datasets. The work is supported by an impressive dataset and compelling analyses, and will be of significant interest to researchers focused on data reproducibility and downstream analysis reliability in spatial transcriptomics.

    Reviewed by eLife

    8 evaluationsAppears in 1 listLatest version Latest activity

  3. Ezh2 Delays Activation of Differentiation Genes During Normal Cerebellar Granule Neuron Development and in Medulloblastoma

    1. James Purzner
    2. Alexander S Brown
    3. Teresa Purzner
    4. Lauren Ellis
    5. Sara Broski
    6. Ulrike Litzenburger
    7. Kaytlin Andrews
    8. Aryaman Sharma
    9. Xin Wang
    10. Michael D Taylor
    11. Yoon-Jae Cho
    12. Margaret T Fuller
    13. Matthew P Scott

    • Curated by eLife

      eLife Assessment

      Using an unbiased approach, this important study discovered a role of Ezh2 in the differentiation of granule neuron precursors, the cell of origin for Shh group of medulloblastoma. Furthermore, the authors also provided solid evidence that combined inhibition of Ezh2 and CDK4/6 likely represents a promising strategy for the treatment of this subgroup of MB. Validation of these findings using the FDA-approved Ezh2 inhibitor is needed to further strengthen this preclinical study.

    Reviewed by eLife

    3 evaluationsAppears in 1 listLatest version Latest activity

  5. Late maturation of semantic control promotes conceptual development

    1. Rebecca L Jackson
    2. Matthew A Lambon Ralph
    3. Timothy T Rogers

    • Curated by eLife

      eLife Assessment

      This study presents valuable findings suggesting that the late maturation of prefrontal cortex-based control processes enhances conceptual learning by allowing a period of less-constrained knowledge acquisition. The authors provide convincing computational evidence that delayed semantic control promotes learning without compromising representation integrity, with the strongest benefits emerging when control connections target intermediate layers of the model. However, the model's narrow scope raises concerns about scalability to more complex, real-world learning environments, and the meta-analysis, while supporting the developmental trajectory, does not directly test the model's specific predictions regarding task outcomes or error patterns.

    Reviewed by eLife

    4 evaluationsAppears in 1 listLatest version Latest activity
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