Latest preprint reviews

  1. Cortex-wide response mode of VIP-expressing inhibitory neurons by reward and punishment

    This article has 10 authors:
    1. Zoltán Szadai
    2. Hyun-Jae Pi
    3. Quentin Chevy
    4. Katalin Ócsai
    5. Dinu F Albeanu
    6. Balázs Chiovini
    7. Gergely Szalay
    8. Gergely Katona
    9. Adam Kepecs
    10. Balázs Rózsa
    This article has been curated by 1 group:
    • Curated by eLife

      eLife assessment

      This paper is of potential interest to neuroscientists expert in cortical circuitry and behavioral role of neuron types. The imaging technique used permitted to detect a specific group of cortical neurons known as vasoactive intestinal peptide (VIP)-expressing interneurons from several cortical regions with high temporal resolution. The main message conveyed by this manuscript is that many VIP-expressing interneurons respond to reward and punishment but also show regional differences. The conclusions drawn are generally supported by the data, but some claims and interpretations require further attention and clarification.

    Reviewed by eLife

    This article has 5 evaluationsAppears in 1 listLatest version Latest activity
  2. Methylglyoxal-derived hydroimidazolone, MG-H1, increases food intake by altering tyramine signaling via the GATA transcription factor ELT-3 in Caenorhabditis elegans

    This article has 14 authors:
    1. Muniesh Muthaiyan Shanmugam
    2. Jyotiska Chaudhuri
    3. Durai Sellegounder
    4. Amit Kumar Sahu
    5. Sanjib Guha
    6. Manish Chamoli
    7. Brian Hodge
    8. Neelanjan Bose
    9. Charis Amber
    10. Dominique O Farrera
    11. Gordon Lithgow
    12. Richmond Sarpong
    13. James J Galligan
    14. Pankaj Kapahi
    This article has been curated by 1 group:
    • Curated by eLife

      eLife assessment

      The work, which examines how Advanced Glycation End-products (AGEs), commonly found in processed and other cooked foods, affect eating behavior and signaling in the nematode C. elegans, is in a fundamentally important area of research with clear translational potential for humans. Some aspects of the manuscript are compelling, including the well-characterized assays on food intake, while other aspects are still incomplete, such as the mechanistic work on the neural network responsible for the response to AGEs.

    Reviewed by eLife

    This article has 4 evaluationsAppears in 1 listLatest version Latest activity
  3. A fear conditioned cue orchestrates a suite of behaviors in rats

    This article has 8 authors:
    1. Amanda Chu
    2. Nicholas T Gordon
    3. Aleah M DuBois
    4. Christa B Michel
    5. Katherine E Hanrahan
    6. David C Williams
    7. Stefano Anzellotti
    8. Michael A McDannald
    This article has been curated by 1 group:
    • Curated by eLife

      eLife assessment

      This is an important and timely characterization of a diversity of behaviors male and female rats exhibit during the acquisition of Pavlovian fear conditioning in a conditioned suppression procedure. The data are compelling and provide an exhaustive analysis of behavior in a complex associative learning paradigm that blends aversive Pavlovian and appetitive instrumental elements. The generalizability of these findings to other paradigms could be enhanced, however, with the inclusion of tests of cue responses in a neutral environment. These findings are likely to be of interest to those who study fear conditioning and associative learning more broadly in rodents.

    Reviewed by eLife

    This article has 4 evaluationsAppears in 1 listLatest version Latest activity
  4. Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations

    This article has 129 authors:
    1. Katharine Sherratt
    2. Hugo Gruson
    3. Rok Grah
    4. Helen Johnson
    5. Rene Niehus
    6. Bastian Prasse
    7. Frank Sandmann
    8. Jannik Deuschel
    9. Daniel Wolffram
    10. Sam Abbott
    11. Alexander Ullrich
    12. Graham Gibson
    13. Evan L Ray
    14. Nicholas G Reich
    15. Daniel Sheldon
    16. Yijin Wang
    17. Nutcha Wattanachit
    18. Lijing Wang
    19. Jan Trnka
    20. Guillaume Obozinski
    21. Tao Sun
    22. Dorina Thanou
    23. Loic Pottier
    24. Ekaterina Krymova
    25. Jan H Meinke
    26. Maria Vittoria Barbarossa
    27. Neele Leithauser
    28. Jan Mohring
    29. Johanna Schneider
    30. Jaroslaw Wlazlo
    31. Jan Fuhrmann
    32. Berit Lange
    33. Isti Rodiah
    34. Prasith Baccam
    35. Heidi Gurung
    36. Steven Stage
    37. Bradley Suchoski
    38. Jozef Budzinski
    39. Robert Walraven
    40. Inmaculada Villanueva
    41. Vit Tucek
    42. Martin Smid
    43. Milan Zajicek
    44. Cesar Perez Alvarez
    45. Borja Reina
    46. Nikos I Bosse
    47. Sophie R Meakin
    48. Lauren Castro
    49. Geoffrey Fairchild
    50. Isaac Michaud
    51. Dave Osthus
    52. Pierfrancesco Alaimo Di Loro
    53. Antonello Maruotti
    54. Veronika Eclerova
    55. Andrea Kraus
    56. David Kraus
    57. Lenka Pribylova
    58. Bertsimas Dimitris
    59. Michael Lingzhi Li
    60. Soni Saksham
    61. Jonas Dehning
    62. Sebastian Mohr
    63. Viola Priesemann
    64. Grzegorz Redlarski
    65. Benjamin Bejar
    66. Giovanni Ardenghi
    67. Nicola Parolini
    68. Giovanni Ziarelli
    69. Wolfgang Bock
    70. Stefan Heyder
    71. Thomas Hotz
    72. David E Singh
    73. Miguel Guzman-Merino
    74. Jose L Aznarte
    75. David Morina
    76. Sergio Alonso
    77. Enric Alvarez
    78. Daniel Lopez
    79. Clara Prats
    80. Jan Pablo Burgard
    81. Arne Rodloff
    82. Tom Zimmermann
    83. Alexander Kuhlmann
    84. Janez Zibert
    85. Fulvia Pennoni
    86. Fabio Divino
    87. Marti Catala
    88. Gianfranco Lovison
    89. Paolo Giudici
    90. Barbara Tarantino
    91. Francesco Bartolucci
    92. Giovanna Jona Lasinio
    93. Marco Mingione
    94. Alessio Farcomeni
    95. Ajitesh Srivastava
    96. Pablo Montero-Manso
    97. Aniruddha Adiga
    98. Benjamin Hurt
    99. Bryan Lewis
    100. Madhav Marathe
    101. Przemyslaw Porebski
    102. Srinivasan Venkatramanan
    103. Rafal P Bartczuk
    104. Filip Dreger
    105. Anna Gambin
    106. Krzysztof Gogolewski
    107. Magdalena Gruziel-Slomka
    108. Bartosz Krupa
    109. Antoni Moszyński
    110. Karol Niedzielewski
    111. Jedrzej Nowosielski
    112. Maciej Radwan
    113. Franciszek Rakowski
    114. Marcin Semeniuk
    115. Ewa Szczurek
    116. Jakub Zielinski
    117. Jan Kisielewski
    118. Barbara Pabjan
    119. Kirsten Holger
    120. Yuri Kheifetz
    121. Markus Scholz
    122. Biecek Przemyslaw
    123. Marcin Bodych
    124. Maciej Filinski
    125. Radoslaw Idzikowski
    126. Tyll Krueger
    127. Tomasz Ozanski
    128. Johannes Bracher
    129. Sebastian Funk
    This article has been curated by 1 group:
    • Curated by eLife

      eLife assessment

      This large-scale collaborative study is a timely contribution that will be of interest to researchers working in the fields of infectious disease forecasting and epidemic control. This paper provides a comprehensive evaluation of the predictive skills of real-time COVID-19 forecasting models in Europe. The conclusions of the paper are well supported by the data and are consistent with findings from studies in other countries.

    Reviewed by eLife

    This article has 3 evaluationsAppears in 1 listLatest version Latest activity
  5. Deep learning-driven insights into super protein complexes for outer membrane protein biogenesis in bacteria

    This article has 3 authors:
    1. Mu Gao
    2. Davi Nakajima An
    3. Jeffrey Skolnick
    This article has been curated by 1 group:
    • Curated by eLife

      eLife assessment

      In this valuable contribution, the authors apply an artificial intelligence method to predict the three-dimensional structure of complexes of outer membrane proteins of the Gram-negative bacterium E. coli. Some of the cases presented are compelling, as they explain previously published biochemical data and/or reproduce existing structural data.

    Reviewed by eLife

    This article has 5 evaluationsAppears in 1 listLatest version Latest activity
  6. Mice and primates use distinct strategies for visual segmentation

    This article has 8 authors:
    1. Francisco J Luongo
    2. Lu Liu
    3. Chun Lum Andy Ho
    4. Janis K Hesse
    5. Joseph B Wekselblatt
    6. Frank F Lanfranchi
    7. Daniel Huber
    8. Doris Y Tsao
    This article has been curated by 1 group:
    • Curated by eLife

      eLife assessment

      Primates perceive and detect stimuli differently depending on the stimulus context in which they are embedded, and have a remarkable ability to understand the way in which objects and parts of objects are embedded in natural scenes (scene segmentation). An example of this is figure-ground segmentation, a well documented phenomenon resulting in a "pop-out" of a figure region and corresponding enhanced neural firing rates in visual areas. It is unknown whether mice show similar behavioral and neural signatures as primates. The present study suggests that mice show different segmentation behavior than primates, lacking texture-invariant segmentation of figures and corresponding neural correlates. This reveals a fundamental difference between primates and mice important for researchers working on these species and researchers studying scene segmentation. The findings are further interpreted in terms of neural network architectures (feedforward networks) and are relevant for this field too.

    Reviewed by eLife

    This article has 4 evaluationsAppears in 1 listLatest version Latest activity
  7. Fast rule switching and slow rule updating in a perceptual categorization task

    This article has 5 authors:
    1. Flora Bouchacourt
    2. Sina Tafazoli
    3. Marcelo G Mattar
    4. Timothy J Buschman
    5. Nathaniel D Daw
    This article has been curated by 1 group:
    • Curated by eLife

      eLife assessment

      This study modeled monkeys' behavior in a stimulus-response rule-learning task to show that animals can adopt mixed strategies involving inference for learning latent states and incremental updating for learning action-outcome associations. The task is cleverly designed, the modeling is rigorous, and importantly there are clear distinctions in the behavior generated by different models, which makes the authors' conclusions convincing. The study makes a strong contribution overall, however, there were aspects of the design that were unclear and some alternative accounts that were not considered.

    Reviewed by eLife

    This article has 4 evaluationsAppears in 1 listLatest version Latest activity
  8. Glycine inhibits NINJ1 membrane clustering to suppress plasma membrane rupture in cell death

    This article has 12 authors:
    1. Jazlyn P Borges
    2. Ragnhild SR Sætra
    3. Allen Volchuk
    4. Marit Bugge
    5. Pascal Devant
    6. Bjørnar Sporsheim
    7. Bridget R Kilburn
    8. Charles L Evavold
    9. Jonathan C Kagan
    10. Neil M Goldenberg
    11. Trude Helen Flo
    12. Benjamin Ethan Steinberg
    This article has been curated by 1 group:
    • Curated by eLife

      eLife assessment

      It's been widely known that the amino acid Glycine can work as a cytoprotectant and inhibit pyroptosis-associated plasma membrane rupture. However, a long-standing question has been: how does Glycine cytoprotection work? The authors observed that Glycine treatment phenocopied deficiency of NINJ1 (a recently reported cell surface molecule critical for plasma membrane rupture), and can inhibit aggregation of NINJ1. Understanding the intrinsic mechanism by which Glycine affects NINJ1 could provide a significant advance in the cell death field.

    Reviewed by eLife

    This article has 4 evaluationsAppears in 1 listLatest version Latest activity
  9. Olfactory receptor neurons generate multiple response motifs, increasing coding space dimensionality

    This article has 9 authors:
    1. Brian Kim
    2. Seth Haney
    3. Ana P Milan
    4. Shruti Joshi
    5. Zane Aldworth
    6. Nikolai Rulkov
    7. Alexander T Kim
    8. Maxim Bazhenov
    9. Mark A Stopfer
    This article has been curated by 1 group:
    • Curated by eLife

      eLife assessment

      The study by Kim et al. combines extracellular recordings from olfactory sensory neurons (OSNs) in locusts with computational modelling approaches to investigate the dynamics of odour responses. The authors demonstrate that OSN responses can be grouped into four distinct response motifs, with OSNs showing different motifs in an odour-dependent manner. Using computational modelling the authors provide some evidence that these diverse response motifs expand the coding space and could facilitate odour discrimination and navigation. This study can be of high relevance to both experimental and theoretical neuroscientists investigating odour coding and odour-driven behaviours such as navigation. In its present form, while the experimental data and analysis are of the highest quality, the modelling part needs to be expanded to fully support the experimental measurements.

    Reviewed by eLife

    This article has 5 evaluationsAppears in 1 listLatest version Latest activity
  10. Weakly migratory metastatic breast cancer cells activate fibroblasts via microvesicle-Tg2 to facilitate dissemination and metastasis

    This article has 14 authors:
    1. Samantha C Schwager
    2. Katherine M Young
    3. Lauren A Hapach
    4. Caroline M Carlson
    5. Jenna A Mosier
    6. Tanner J McArdle
    7. Wenjun Wang
    8. Curtis Schunk
    9. Anissa L Jayathilake
    10. Madison E Bates
    11. Francois Bordeleau
    12. Marc A Antonyak
    13. Richard A Cerione
    14. Cynthia A Reinhart-King
    This article has been curated by 1 group:
    • Curated by eLife

      eLife assessment

      The interesting manuscript shows that breast cancer cells that are poorly migratory in culture can be more metastatic in mice. This is due, at least in part, to the secretion of extracellular vesicles containing the the crosslinking enzyme Transglutaminase-2, which can activate fibroblasts in the tumours. These fibroblasts can then promote metastatic phenotypes. This study demonstrates how cancer cells can manipulate the cells around them in order to disseminate.

    Reviewed by eLife

    This article has 4 evaluationsAppears in 1 listLatest version Latest activity
Newer Page 523 of 804 Older