Biophysics

Electrostatic interactions in nucleosome and higher-order structures are regulated by protonation state of histone ionizable residue

1. Houfang Zhang
2. Wenhan Guo
3. Wang Xu
4. Anbang Li
5. Lijun Jiang
6. Lin Li
7. Yunhui Peng

• Curated by eLife

  eLife assessment

  This important study explores the impact of pH changes and cancer mutations on nucleosome interactions and higher-order chromatin structures. The evidence supporting the main conclusions is solid, based on rigorous computational methods, including pKa prediction, electrostatic force calculation, and molecular dynamics simulations. The findings provide insights into how protonation states and cancer-associated mutations affect nucleosome electrostatics and chromatin organization, making this work of broad interest to chromatin biologists, cancer researchers, and computational biophysicists.

Reviewed by eLife

Probing the modulation of enzyme kinetics by multi-temperature, time-resolved serial crystallography

1. Eike C. Schulz
2. Andreas Prester
3. David von Stetten
4. Gargi Gore
5. Caitlin E. Hatton
6. Kim Bartels
7. Jan-Philipp Leimkohl
8. Hendrik Schikora
9. Helen M. Ginn
10. Friedjof Tellkamp
11. Pedram Mehrabi

Reviewed by PREreview

Massively parallel genetic perturbation reveals the energetic architecture of an amyloid beta nucleation reaction

1. Anna Arutyunyan
2. Mireia Seuma
3. Andre J. Faure
4. Benedetta Bolognesi
5. Ben Lehner

Reviewed by PREreview

Connecting Chromatin Structures to Gene Regulation Using Dynamic Polymer Simulations

1. Yi Fu
2. Tianxiao Zhao
3. Finnegan Clark
4. Sofia Nomikou
5. Aristotelis Tsirigos
6. Timothée Lionnet

• Curated by eLife

  eLife assessment

  This study presents a valuable optimization algorithm to identify polymer models that best fit population-averaged chromosome contact data that will be of interest to physicists and biologists working on chromatin organization. The conclusions are supported by solid evidence.

Reviewed by eLife

Molecular Insights into Single Chain Lipid Modulation of Acid-Sensing Ion Channel 3

1. Ramya Bandarupalli
2. Rebecca Roth
3. Robert C Klipp
4. John R Bankston
5. Jing Li

Reviewed by Arcadia Science

Predicting the sequence-dependent backbone dynamics of intrinsically disordered proteins

1. Sanbo Qin
2. Huan-Xiang Zhou

• Curated by eLife

  eLife assessment

  In this useful study, a solid machine learning approach based on a broad set of systems to predict the R2 relaxation rates of residues in intrinsically disordered proteins (IDPs) is described. The ability to predict the patterns of R2 will be helpful to guide experimental studies of IDPs. A potential weakness is that the predicted R2 values may include both fast and slow motions, thus the predictions provide only limited new physical insights into the nature of the underlying protein dynamics, such as the most relevant timescale.

Reviewed by eLife

PUFA stabilizes a conductive state of the selectivity filter in IKs channels

1. Alessia Golluscio
2. Jodene Eldstrom
3. Jessica J Jowais
4. Marta Elena Perez
5. Kevin Peter Cunningham
6. Alicia De La Cruz
7. Xiaoan Wu
8. Valentina Corradi
9. D Peter Tieleman
10. David Fedida
11. H Peter Larsson

• Curated by eLife

  eLife assessment

  This manuscript reveals an important mechanism of KCNQ1/IKs channel gating and PUFA modulation of this mechanism. This mechanism is supported by convincing single channel recordings, macroscopic current recordings and mutational analyses. These findings are of importance to the ion channel field and possibly future therapeutic applications.

Reviewed by eLife

N-acetylation of α-synuclein enhances synaptic vesicle clustering mediated by α-synuclein and lysophosphatidylcholine

1. Chuchu Wang
2. Chunyu Zhao
3. Hu Xiao
4. Jiali Qiang
5. Zhenying Liu
6. Jinge Gu
7. Shengnan Zhang
8. Dan Li
9. Yaoyang Zhang
10. Jacqueline Burré
11. Jiajia Diao
12. Cong Liu

• Curated by eLife

  eLife assessment

  In this useful study, the authors show that N-acetylation of synuclein increases clustering of synaptic vesicles in vitro and that this effect is mediated by enhanced interaction with lysophosphatidylcholine. While the evidence for enhanced clustering is largely solid, the biological significance remains unclear.

Reviewed by eLife

Cryo-electron tomography reveals the microtubule-bound form of inactive LRRK2

1. Siyu Chen
2. Tamar Basiashvili
3. Joshua Hutchings
4. Marta Sanz Murillo
5. Amalia Villagran Suarez
6. Jaime Alegrio Louro
7. Andres E Leschziner
8. Elizabeth Villa

• Curated by eLife

  eLife assessment

  In this manuscript, Chen et al. used cryo-ET and in vitro reconstituted system to demonstrate that the autoinhibited form of LRRK2 can also assemble into filaments on the microtubule surface, with a new interface involving the N-terminal repeats that were disordered in the previous active-LRRK2 filament structure. The structure obtained in this study is the highest resolution of LRRK2 filaments done by subtomogram averaging, representing a major technical advance compared to the previous paper from the same group. This is an important study, especially considering the pharmacological implications of the effect of inhibitors of the protein. The strengths of the data are convincing, but the study would be considerably strengthened if the authors addressed several discrepancies relating to their earlier work, and explored the physiological significance of the new interfaces and the incomplete decoration of microtubules described here.

Reviewed by eLife

Point set registration for combining fluorescence microscopy methods

1. Ivo Severins
2. Chirlmin Joo
3. John van Noort

Reviewed by Arcadia Science