eLife

Latest preprint reviews

1. Brain Perfusion Imaging of a Large Population: Arterial Spin Labelling MRI in UK Biobank

   This article has 13 authors:

   1. Thomas W Okell
   2. Xinyi Xu
   3. Martin Craig
   4. Fidel Alfaro-Almagro
   5. David L Thomas
   6. Enrico De Vita
   7. Steve Garratt
   8. Thomas E Nichols
   9. Matthias Günther
   10. Paul M Matthews
   11. Karla L Miller
   12. Stephen M Smith
   13. Michael A Chappell

   This article has been curated by 1 group:

   • Curated by eLife

     eLife Assessment

     This important study reports on the relationships between cerebral haemodynamics and a number of factors that relate to genetics, lifestyle, and medical history using data from a large cohort. Compelling evidence suggests that brief arterial spin labelling MRI acquisition can lead to both expected observations about brain health, as manifested in cerebral blood flow, and biomarkers for use in diagnosis and treatment monitoring. The results can be used as a starting point for hypothesis generation and further evaluation of conditions expected to affect haemodynamics in the brain.

   Reviewed by eLife

2. High-throughput development and characterization of new functional nanobodies for gene regulation and epigenetic control in human cells

   This article has 6 authors:

   1. Jun Wan
   2. Abby R Thurm
   3. Sage J Allen
   4. Connor H Ludwig
   5. Aayan N Patel
   6. Lacramioara Bintu

   This article has been curated by 1 group:

   • Curated by eLife

     eLife Assessment

     This manuscript describes a valuable screening approach to identifying nanobodies with the potential to modulate gene expression via epigenetic regulators. While the concept is of interest and the screening strategy is well designed, the current evidence supporting mechanistic specificity remains incomplete.

   Reviewed by eLife

3. Increased layer 5 Martinotti cell excitation reduces pyramidal cell population plasticity and improves learned motor execution

   This article has 8 authors:

   1. Thawann Malfatti
   2. Anna Velica
   3. Jéssica Winne
   4. Barbara Ciralli
   5. Katharina Henriksson
   6. George Nascimento
   7. Richardson Leao
   8. Klas Kullander

   This article has been curated by 1 group:

   • Curated by eLife

     eLife Assessment

     This valuable study addresses a critical question regarding the role of a subpopulation of cortical interneurons (Chrna2-expressing Martinotti cells) in motor learning and cortical dynamics. However, despite the inclusion of interesting behavioral and imaging data, significant limitations remain, even after revision, in the design of the motor learning task and the associated data analyses. As a result, the presented data are incomplete to support the central conclusions.

   Reviewed by eLife

4. We couldn't get details of this article at this time:
   10.1101/2025.09.19.677258

5. We couldn't get details of this article at this time:
   10.1101/2024.12.24.630058

6. We couldn't get details of this article at this time:
   10.1101/2025.09.19.677280

7. P-body formation is required for yeast proliferation in the phyllosphere

   This article has 7 authors:

   1. Fuka Sekioka
   2. Kosuke Shiraishi
   3. Miho Akagi
   4. Akari Habata
   5. Yumi Arima
   6. Yasuyoshi Sakai
   7. Hiroya Yurimoto

   This article has been curated by 1 group:

   • Curated by eLife

     eLife Assessment

     This valuable study investigates the role of P-bodies in yeast proliferation and mRNA regulation within the phyllosphere, proposing that P-body assembly contributes to methanol metabolism and stress adaptation. The findings are of interest to researchers studying post-transcriptional gene regulation and microbial ecology in plants. However, the evidence is incomplete, as most experiments were performed under artificial conditions, relied on limited genetic validation, and were supported primarily by qualitative or low-resolution imaging.

   Reviewed by eLife

8. Learning sequence-function relationships with scalable, interpretable Gaussian processes

   This article has 4 authors:

   1. Juannan Zhou
   2. Carlos Martí-Gómez
   3. Samantha Petti
   4. David M McCandlish

   This article has been curated by 1 group:

   • Curated by eLife

     eLife Assessment

     This important work introduces a family of interpretable Gaussian process models that allows us to learn and model sequence-function relationships in biomolecules. These models are applied to three recent empirical fitness landscapes, providing convincing evidence of their predictive power. The findings should be of interest to the community working on the sequence-function relationship, on epistasis, and on fitness landscapes.

   Reviewed by eLife

9. We couldn't get details of this article at this time:
   10.1101/2025.08.14.670295

10. Ubiquitous predictive processing in the spectral domain of sensory cortex

    This article has 4 authors:

    1. Eli Sennesh
    2. Jacob A Westerberg
    3. Jesse Spencer-Smith
    4. Andre Bastos

    This article has been curated by 1 group:

    • Curated by eLife

      eLife Assessment

      The authors analyzed spectral properties of neural activity recorded using laminar probes while mice engaged in a global/local visual oddball paradigm. They found solid evidence for an increase in gamma (and theta in some cases) for unpredictable versus predictable stimuli, and a reduction in alpha/beta, which they consider evidence towards a "predictive routing" scheme. The study is overall important because it addresses the basis of predictive processing in the cortex, but some of the analytical choices could be better motivated, and overall, the manuscript can be improved by performing additional analyses.

    Reviewed by eLife