Bioengineering

Discovery of Expression-Governing Residues in Proteins

1. Fan Jiang
2. Mingchen Li
3. Banghao Wu
4. Liang Zhang
5. Bozitao Zhong
6. Yuanxi Yu
7. Liang Hong

Reviewed by Arcadia Science

AI-enabled alkaline-resistant evolution of protein to apply in mass production

1. Liqi Kang
2. Banghao Wu
3. Bingxin Zhou
4. Pan Tan
5. Yun (Kenneth) Kang
6. Yongzhen Yan
7. Yi Zong
8. Shuang Li
9. Zhuo Liu
10. Liang Hong

• Curated by eLife

  eLife Assessment

  This important work demonstrates the application of Pro-PRIME, a large language model, to engineer VHH antibodies with enhanced stability for extreme industrial environments. The evidence is convincing, showing through two rounds of design and experimental validation that AI-guided approaches can outperform traditional rational design methods. The solid methodology and results establish a foundation for further exploration of LLM-assisted protein engineering.

Reviewed by eLife

Compositional editing of extracellular matrices by CRISPR/Cas9 engineering of human mesenchymal stem cell lines

1. Sujeethkumar Prithiviraj
2. Alejandro Garcia Garcia
3. Karin Linderfalk
4. Bai Yiguang
5. Sonia Ferveur
6. Ludvig Nilsén Falck
7. Agatheeswaran Subramaniam
8. Sofie Mohlin
9. David Hidalgo Gil
10. Steven J Dupard
11. Dimitra Zacharaki
12. Deepak Bushan Raina
13. Paul E Bourgine

• Curated by eLife

  eLife Assessment

  The study presents a potentially valuable approach to genetically modify cells to produce extracellular matrices with altered compositions, termed cell-laid, engineered extracellular matrices (eECM). The evidence supporting the authors' conclusions regarding the utility of eECM for endogenous repair is solid, although there are some disagreements on the chondrogenicity of lyophilized constructs which was viewed as lacking robust evidence for endochondral ossification.

Reviewed by eLife

Coagulative Granular Hydrogels with an Enzyme Catalyzed Fibrin Network for Endogenous Tissue Regeneration

1. Zhipeng Deng
2. Camila B. Tovani
3. Simona Bianco
4. Gianni Comandini
5. Aya Elghajiji
6. Dave J. Adams
7. Fabrizio Scarpa
8. Michael R. Whitehouse
9. Annela M. Seddon
10. James P. K. Armstrong

Reviewed by preLights

Macroscopic label-free biomedical imaging with shortwave infrared Raman scattering

1. Bernardo A. Arús
2. Joycelyn Yiu
3. Jakob G. P. Lingg
4. Anja Hofmann
5. Amy R. Fumo
6. Honglei Ji
7. Carolin Jethwa
8. Roy K. Park
9. James Henderson
10. Kanuj Mishra
11. Iuliia Mukha
12. Andre C. Stiel
13. Donato Santovito
14. Christian Weber
15. Christian Reeps
16. Maria Rohm
17. Alexander Bartelt
18. Tulio A. Valdez
19. Andriy Chmyrov
20. Oliver T. Bruns

Reviewed by Arcadia Science

MAGNETICALLY STEERED CELL THERAPY FOR REDUCTION OF INTRAOCULAR PRESSURE AS A TREATMENT STRATEGY FOR OPEN-ANGLE GLAUCOMA

1. M. Reza Bahrani Fard
2. Jessica Chan
3. A. Thomas Read
4. Guorong Li
5. Lin Cheng
6. Babak N. Safa
7. Seyed Mohammad Siadat
8. Anamik Jhunjhunwala
9. Hans E. Grossniklaus
10. Stanislav Y. Emelianov
11. W. Daniel Stamer
12. Markus H. Kuehn
13. C. Ross Ethier

• Curated by eLife

  eLife Assessment

  This manuscript describes a novel magnetic steering technique to target human adipose derived mesenchymal stem cells (hAMSC) or induce pluripotent stem cells to the TM (iPSC-TM). The authors demonstrate the valuable findings that delivery of the stem cells compared to baseline lowered IOP, increased outflow facility, and increased TM cellularity. Although the methods, data, and analysis are solid, there is an overall weakness in the experimental controls, and questions around the transgenic mouse model. If these issues are addressed, the manuscript will be significantly improved.

Reviewed by eLife

An emerging view of neural geometry in motor cortex supports high-performance decoding

1. Sean M Perkins
2. Elom A Amematsro
3. John Cunningham
4. Qi Wang
5. Mark M Churchland

• Curated by eLife

  eLife Assessment

  This paper presents a new method called MINT that is effective at BCI-style decoding tasks. The authors show convincing evidence to support their claims regarding how MINT is a new method that produces excellent decoding performance relative to the state-of-the-art. This work is important and will be of broad interest to neuroscientists and neuroengineers.

Reviewed by eLife

Clinical phenotypes in acute and chronic infarction explained through human ventricular electromechanical modelling and simulations

1. Xin Zhou
2. Zhinuo Jenny Wang
3. Julia Camps
4. Jakub Tomek
5. Alfonso Santiago
6. Adria Quintanas
7. Mariano Vazquez
8. Marmar Vaseghi
9. Blanca Rodriguez

• Curated by eLife

  eLife Assessment

  This computational study integrates detailed electrophysiology and mechanical contraction predictions, which are often modeled separately. The findings of this important work are that abnormal ECGs that are associated with higher risk of sudden cardiac death are predicted to have almost no relationship with left ventricular ejection fraction, which is conventionally used as a risk factor for arrhythmia. The conclusions are based on compelling evidence for the need of incorporating additional risk factors for assessing post-myocardial infarction patients.

Reviewed by eLife

Evaluation of Machine Learning-Assisted Directed Evolution Across Diverse Combinatorial Landscapes

1. Francesca-Zhoufan Li
2. Jason Yang
3. Kadina E. Johnston
4. Emre Gürsoy
5. Yisong Yue
6. Frances H. Arnold

Reviewed by Arcadia Science

Applied tutorial for the design and fabrication of biomicrofluidic devices by resin 3D printing

1. Hannah.B. Musgrove
2. Megan.A. Catterton
3. Rebecca.R. Pompano

Reviewed by Arcadia Science