MétaCan
Menu
← Back to cohort
Record W6950506774 · doi:10.5281/zenodo.7737272

PREreview of "Spatial and functional arrangement of Ebola virus polymerase inside phase-separated viral factories"

2023· peer-review· en· W6950506774 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2023
Typepeer-review
Languageen
FieldMedicine
TopicViral Infections and Outbreaks Research
Canadian institutionsnot available
Fundersnot available
KeywordsPolymeraseEbola virusNucleoproteinViral replicationVirusRNA polymeraseEbolavirusRNA

Abstract

fetched live from OpenAlex

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/7737272. We, the students of MICI5029/5049, a Graduate Level Molecular Pathogenesis Journal Club at Dalhousie University in Halifax, NS, Canada, hereby submit a review of the following BioRxiv preprint: Spatial and functional arrangement of Ebola virus polymerase inside phase-separated viral factories Jingru Fang, Guillaume Castillon, Sebastien Phan, Sara McArdle, Chitra Hariharan, Mark H. Ellisman, Ashok A. Deniz, Erica Ollmann Saphire. doi: https://doi.org/10.1101/2022.12.27.522024 We will adhere to the Universal Principled (UP) Review guidelines proposed in: Universal Principled Review: A Community-Driven Method to Improve Peer Review. Krummel M, Blish C, Kuhns M, Cadwell K, Oberst A, Goldrath A, Ansel KM, Chi H, O'Connell R, Wherry EJ, Pepper M; Future Immunology Consortium. Cell. 2019 Dec 12;179(7):1441-1445. doi: 10.1016/j.cell.2019.11.029. SUMMARY: Many fundamental aspects of Ebola virus (EBOV) replication remain unknown. Here, the authors sought to better understand the role of EBOV viral factories (VF) in spatially regulating viral RNA synthesis. They reconstituted VFs using viral proteins with properties often associated with phase separation (self-oligomerization, RNA binding) including nucleoprotein (NP), polymerase cofactor VP35, and polymerase (L). Condensates were observed in cells transfected with VP35 alone, VP35/NP, or VP35/NP/L. These condensates displayed composition-dependent viscoelastic behavior typical of VFs. Interestingly, L was found to cluster in foci that were interconnected but the distance between the foci was dependent on RNA replication (provided by a minigenome (MG) reporter). VFs formed a typical droplet-like morphology as well as a distinct network-like morphology. To determine if both VF morphologies were present during infection, the authors performed infections with a VP30-deficient EBOV in Vero cells that provide VP30 in trans. They determined that most VFs display droplet-like morphology, but network-like morphology is still present about 30% of the time. Continuing with their transfection-based reconstitution system, the authors designed a split APEX2 (sAPEX2) system to monitor interactions between L and VP35. TEM confirmed the network-like morphology of VFs and localization of L at the periphery of these structures. Finally, using the sAPEX2 system, they utilized four-tilt electron tomography (ET) to resolve 3D images of organelles. Using ET, they obtained clear resolution of the reconstituted VFs and observed that they were close to membrane bound organelles, consistent with previous observations of VFs from other viruses. Interestingly, they also reported loosely coiled structures which they proposed are viral ribonucleoproteins, however this requires further investigation. Together, Fang J., et al. demonstrated the utility of their transfection-based approach for studying EBOV and advanced understanding of EBOV VFs, describing a network-like morphology and composition-dependent distribution of L within VFs. OVERALL ASSESSMENT: This preprint provides advances understanding of EBOV VFs as biomolecular condensates, providing insight into the interactions, viscoelastic properties, and spatial organization of VF constituents. The study featured cutting-edge microscopy techniques. This study could be strengthened by the addition of key controls, especially for the sAPEX2 system. We also suggest adjustments to the writing to better highlight important findings. STRENGTHS: This study addresses important questions about the fundamental nature of VFs. The writing was generally clear and accessible, with clear communication of research goals and approaches throughout. For example, the clear Introduction and accompanying methods diagram was very helpful for readers with limited virology knowledge. Without question, the advanced microscopy approaches are impressive, and provide a roadmap for future studies. We appreciated the authors cautious assessment of their findings, which acknowledged experimental limitations and did not overinterpret results. Overall, conclusions were well supported by the data throughout. WEAKNESSES: We identified the following weaknesses: 1. While we appreciated the power of the sAPEX2 assay to map localization of protein complexes, we think that it could be improved by adding specificity controls. The specificity of the mapping of L+VP35 could be better appreciated if it could be compared to controls (e.g. viral proteins that lack condensate properties and do not participate in VFs). 2. The authors should double-check figure callouts throughout the paper as there are several occasions where the figure they are referring to does not relate to the claim in the sentence. This is a minor weakness, as the data is usually somewhere in the paper, but the misleading callouts were frustrating. 3. Another minor weakness involved the descriptive terminology used in the paper such as "gel-like" or "homogeneous". The authors should define these terms clearly so the reader can understand how they are being used in the context of this study. DETAILED U.P. ASSESSMENT: OBJECTIVE CRITERIA (QUALITY) 1. Quality: Experiments (1–3 scale; note: 1 is best on this scale) SCORE = 1.25 ● Figure by figure, do experiments, as performed, have the proper controls? [note: we use this 'figure-by-figure' section for broader detailed critiques, rather than only focusing on controls. ● Figures are generally attractive and informative, and the data supports the authors' conclusions. Relatively minor critiques as follows: o Figure 1: The figure legend has an error, as the descriptors for A and B are reversed. We encourage the authors to review figure callouts in the text as, as there are mismatches. They also refer to Figure 1e (line 165) and it is unclear how that figure supports the claim in the text. We think it would be more appropriate to reference Supplemental Figure 1d along with Figure 1e to support the claim. o Figure 2: To improve the continuity of Figure 2C, we suggest the authors improve the alignment of the x-axis of the graph with the lanes of the corresponding western blot below. We suggest straight labels or dotted lines to clearly indicate the continuity from the graph to the lanes of the blot. We also suggest increasing the signal of the anti-FLAG blots to give a more obvious positive signal and reveal any additional bands that are currently obscured. o Figure 3: We suggest clearly indicating which panel shows the network-like or droplet-like phenotypes in Figure 3b. We propose direct labeling on the figure or referencing left and right panels in the figure legend. o Figure 4: It is unclear what "1" and "2" refer to in the labeling of Figure 4d; we recommend clarifying this on the figure or in the figure legend. It would also be beneficial to include Z-stacks for Figures 4e and 4f to allow the reader to better locate L-VP35-sAPEX2. We also identified a significant error in the interpretation of the data in Figure 4b and 4d. In the text it reads "L-sEX was also expressed to higher levels than wild type L, which could explain the correspondingly higher MG activity seen for sAPEX2-tagged EBOV polymerase (Figure 4d)" however, Figure 4d only shows the expression levels. Furthermore, we do not understand this claim as the MG activity shown in Figure 4b revealed that L-VP35-sAPEX2 had lower activity compared to L-WT + VP35-V5. We encourage the authors to revise this section of text. o Figure 5: For consistency, a scale bar should be included in the OsO4 panel of Figure 5b. Our more substantial concern is the lack of controls for the sAPEX2 assay. While we acknowledge that this is an innovative tool, it would be more convincing to see the labeling of something that is not their target, also in the phase condensate, which has a different distribution. We suggest potentially using the sAPEX2 assay with NP and VP34. The use of this control would better validate their assay since their observations of the network-like structures on the periphery of VFs seem to contradict the IF data from figure 4. ● Are specific analyses performed using methods that are consistent with answering the specific question? o We have concerns about the use of the mini-genome as the substrate for polymerase L and indicator of viral replication and transcription within VFs/condensates. Since condensate formation is heavily impacted by the stoichiometry of its constituents, we are concerned that the use of this mini-genome may influence phase separation more than the authors have anticipated. We would also like the authors to discuss the potential implications of the higher expression of VP35 APEX compared to the VP35-V5 construct. Finally, we suggest that the authors use RNA FISH staining to visualize viral RNA to further enhance confocal microscopy experiments. . ● Is there appropriate technical expertise in the collection and analysis of data presented? o The sAPEX2 construct impacted the intracellular localization pattern of VP35 and induced the formation of network-like VFs. Although the authors showed that co-expression of VP24 and VP35-V5 could also induce the network-like VFs, there are still concerns about potential artefacts caused by sAPEX2 tags. While potentially beyond the scope of this excellent paper, we suggest the authors consider supporting their data with alternative labeling techniques such as immunogold labeling or metal-tagging. The immunogold labeling and metal-tagging have their own limitations, but those techniques do not create extra intermolecular interactions between L and VP35, therefore eliminating potentially artefactual effects on VF morphology. Based on the information in the Results section, the sAPEX2 tagging only allows the authors to

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.016
metaresearch head score (Gemma)0.040
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Evaluation · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.984
Threshold uncertainty score0.315

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.040
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0050.002
Science and technology studies0.0030.003
Scholarly communication0.0070.004
Open science0.0040.004
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0940.065

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.093
GPT teacher head0.349
Teacher spread0.256 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
DomainEvaluation
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueZenodo (CERN European Organization for Nuclear Research)→Same topicViral Infections and Outbreaks Research→French-language works237,207→