Bioengineering

  1. Antibody affinity engineering using antibody repertoire data and machine learning

    1. Lena Erlach
    2. Simon Friedensohn
    3. Daniel Neumeier
    4. Derek M. Mason
    5. Sai T. Reddy

    Reviewed by Arcadia Science

    1 evaluationAppears in 1 listLatest version Latest activity

  2. 3D Mechanical Confinement Directs Muscle Stem Cell Fate and Function

    1. GaYoung Park
    2. Josh A. Grey
    3. Foteini Mourkioti
    4. Woojin M. Han

    Reviewed by preLights

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Heart Scar-In-A-Dish: Tissue Culture Platform to Study Myocardial Infarct Healing In Vitro

    1. MJ Potter
    2. JD Heywood
    3. SJ Coeyman
    4. WJ Richardson

    Reviewed by preLights

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Toward De Novo Protein Design from Natural Language

    1. Fengyuan Dai
    2. Shiyang You
    3. Chentong Wang
    4. Yuliang Fan
    5. Jin Su
    6. Chenchen Han
    7. Xibin Zhou
    8. Jianming Liu
    9. Hui Qian
    10. Shunzhi Wang
    11. Anping Zeng
    12. Yajie Wang
    13. Hongyuan Lu
    14. Fajie Yuan

    Reviewed by Arcadia Science

    3 evaluationsAppears in 1 listLatest version Latest activity

  5. Self-Organizing Neural Networks in Novel Moving Bodies: Anatomical, Behavioral, and Transcriptional Characterization of a Living Construct with a Nervous System

    1. Haleh Fotowat
    2. Laurie O’Neill
    3. Léo Pio-Lopez
    4. Megan Sperry
    5. Patrick Erickson
    6. Tiffany Lin
    7. Michael Levin

    Reviewed by Arcadia Science

    4 evaluationsAppears in 1 listLatest version Latest activity

  6. Free-Form Microfluidic Microneedle Array Patches

    1. Ian A. Coates
    2. Madison M. Driskill
    3. Netra U. Rajesh
    4. Gabriel Lipkowitz
    5. Dan Ilyin
    6. Yue Xu
    7. Maria T. Dulay
    8. Gunilla B. Jacobson
    9. Jillian L. Perry
    10. Shaomin Tian
    11. Joseph M. DeSimone

    Reviewed by Arcadia Science

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Cap-independent co-expression of dsRNA-sensing and NF-κB pathway inhibitors enables tunable self-amplifying RNA expression with reduced immunotoxicity

    1. Tony K.Y Lim
    2. Anne Ritoux
    3. Luke W. Paine
    4. Larissa Ferguson
    5. Tawab Abdul
    6. Laura J. Grundy
    7. Ewan St. John Smith

    • Curated by eLife

      eLife Assessment

      In this manuscript, Lim and collaborators present a useful system for developing self-amplifying RNA that should not provoke a strong host inflammatory response. However, some of the claims are incomplete; additional experiments to investigate the effects on translation of the gene of interest and replication efficiency of the self-amplifying RNA could strengthen the manuscript.

    Reviewed by eLife

    4 evaluationsAppears in 1 listLatest version Latest activity

  8. Isolating Small Extracellular Vesicles from Small Volumes of Blood Plasma using size exclusion chromatography and density gradient ultracentrifugation: A Comparative Study

    1. Fang Kong
    2. Megha Upadya
    3. Andrew See Wong Weng
    4. Rinkoo Dalan
    5. Ming Dao

    • Curated by eLife

      eLife Assessment

      This work provides a simple, rapid and valuable protocol for the isolation of small extracellular vesicles from small volumes of plasma, using two well-known methodologies, in tandem: size exclusion chromatography (SEC) and density gradient ultracentrifugation (DGUC). The authors exhaustively test these methodologies separately and in combination, showing superior results for the SEC-DGUC in terms of purity and yield. The results obtained in this work are convincing, using multiple state-of-art methodologies for the characterization of the isolates that support their conclusions.

    Reviewed by eLife

    6 evaluationsAppears in 1 listLatest version Latest activity

  9. Development of antigen-dextramers for detection and evaluation of CAR T cells

    1. Rasmus U. W. Friis
    2. Maria Ormhøj
    3. Cecilie S. Krüger-Jensen
    4. Markus Barden
    5. Keerthana Ramanathan
    6. Mikkel R. Hansen
    7. Hinrich Abken
    8. Sine R. Hadrup

    Reviewed by Arcadia Science

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Lab-in-the-loop therapeutic antibody design with deep learning

    1. Nathan C. Frey
    2. Isidro Hötzel
    3. Samuel D. Stanton
    4. Ryan Kelly
    5. Robert G. Alberstein
    6. Emily Makowski
    7. Karolis Martinkus
    8. Daniel Berenberg
    9. Jack Bevers
    10. Tyler Bryson
    11. Pamela Chan
    12. Alicja Czubaty
    13. Tamica D’Souza
    14. Henri Dwyer
    15. Anna Dziewulska
    16. James W. Fairman
    17. Allen Goodman
    18. Jennifer Hofmann
    19. Henry Isaacson
    20. Aya Ismail
    21. Samantha James
    22. Taylor Joren
    23. Simon Kelow
    24. James R. Kiefer
    25. Matthieu Kirchmeyer
    26. Joseph Kleinhenz
    27. James T. Koerber
    28. Julien Lafrance-Vanasse
    29. Andrew Leaver-Fay
    30. Jae Hyeon Lee
    31. Edith Lee
    32. Donald Lee
    33. Wei-Ching Liang
    34. Joshua Yao-Yu Lin
    35. Sidney Lisanza
    36. Andreas Loukas
    37. Jan Ludwiczak
    38. Sai Pooja Mahajan
    39. Omar Mahmood
    40. Homa Mohammadi-Peyhani
    41. Santrupti Nerli
    42. Ji Won Park
    43. Jaewoo Park
    44. Stephen Ra
    45. Sarah Robinson
    46. Saeed Saremi
    47. Franziska Seeger
    48. Imee Sinha
    49. Anna M. Sokol
    50. Natasa Tagasovska
    51. Hao To
    52. Edward Wagstaff
    53. Amy Wang
    54. Andrew M. Watkins
    55. Blair Wilson
    56. Shuang Wu
    57. Karina Zadorozhny
    58. John Marioni
    59. Aviv Regev
    60. Yan Wu
    61. Kyunghyun Cho
    62. Richard Bonneau
    63. Vladimir Gligorijević

    Reviewed by Arcadia Science

    4 evaluationsAppears in 1 listLatest version Latest activity
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