Systems Biology

Metabolic Trans-Omic Analysis Reveals Key Regulatory Disruption of Energy Metabolism in Alzheimer’s Disease

1. Tomoharu Katayama
2. Hikaru Sugimoto
3. Keigo Morita
4. Hirohisa Watanabe
5. Shinya Kuroda

• Curated by eLife

  eLife Assessment

  This study presents a useful application of trans-omic network analyses to existing human brain datasets, generating systems-level insights into metabolic dysregulation in Alzheimer's disease. Overall, the authors' analytical choices are solid, with appropriate use of existing data and methods, and with many of their results confirming previous findings. However, some of the authors' key claims, related to previously unknown details of regulatory relationships, are only partially supported due to limitations in dataset cell-type resolution and network robustness, as well as a lack of functional validation. This work will be of interest to cellular or systems neurobiologists studying Alzheimer's disease and could serve as a helpful starting point for future work.

  [Editors' note: this paper was reviewed by Review Commons.]

Reviewed by eLife, Review Commons

Signatures of digital Polycomb regulation in functional iPSC heterogeneity between individuals

1. Ander Movilla Miangolarra
2. Julia Kurlovich
3. Fereshteh Torabi
4. Oleksandr Dovgusha
5. Yang Cao
6. Lihan Lin
7. Ufuk Günesdogan
8. Stefan Schoenfelder
9. Martin Howard

Reviewed by Review Commons

The zoo of the gene networks capable of pattern formation by extracellular signaling

1. Kevin Martinez-Anhom
2. Isaac Salazar-Ciudad

• Curated by eLife

  eLife Assessment

  The study presents a valuable conceptual framework by classifying pattern-forming gene subnetworks into three established categories. However, the supporting evidence remains incomplete, as the mathematical generalizations rely on simplified assumptions that may not hold in more complex or realistic scenarios.

Reviewed by eLife

Diurnal rhythmicity in metabolism and salivary effector expression shapes aphid performance on host plants

1. Jinlong Han
2. Daniel Kunk
3. Meihua Cui
4. Yoshiahu Goldstein
5. Vered Tzin
6. Vamsi J Nalam

• Curated by eLife

  eLife Assessment

  In this study, the authors found that a species of aphid that is a known agricultural pest salivated longer and produced more honeydew when feeding at night. The authors identified aphid genes with diurnal expression patterns, including potential salivation-related genes. Silencing these genes reduced aphid performance only on plants and not on artificial diet, suggesting a specific role in plant feeding. This study is valuable for understanding plant-insect interactions in agriculture and presents solid evidence of diurnal rhythmicity in aphid activity and performance, although further research is needed to elucidate the function of the identified genes.

Reviewed by eLife

Towards pharmacokinetic profile predictions for monoclonal antibodies using sequence based machine learning derived parameters and compartmental modeling

1. Felix Jost
2. Henrik Cordes

Reviewed by PREreview

Evolutionary rewiring of host metabolism and interferon signalling by SARS-CoV-2 variants

1. Riaz-Ali Somji
2. Jonathan C Brown
3. Shahid Rowles-Khalid
4. Tukur Abdullahi
5. Dongsheng Luo
6. Natalie Barthel
7. Michael Mülleder
8. Markus Ralser
9. Wendy S Barclay
10. Charalampos Rallis
11. Efstathios S Giotis

Reviewed by Review Commons