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Record W4412199393 · doi:10.1128/mbio.01106-25

Reply to Sleutel and Remaut, <sup>“</sup> Structural insights into <i>Escherichia coli</i> CsgA amyloid fibril assembly revisited”

2025· article· en· W4412199393 on OpenAlexafffund
Fan Bu, Derek R. Dee, Bin Liu

Bibliographic record

VenuemBio · 2025
Typearticle
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsEscherichia coliAmyloid fibrilAmyloid (mycology)ChemistryBiophysicsBiologyBiochemistryAmyloid βMedicineDisease

Abstract

fetched live from OpenAlex

T he discovery of functional amyloids in bacteria dates back several decades, and our understanding of the Escherichia coli curli biogenesis system has steadily evolved over time.Since Chapman's seminal work in 2002, which involved isolation, characterization, and depolymerization of the major curli subunit CsgA, a variety of structural tools have been employed to elucidate curli architecture.Notably, later on, both solid-state nuclear magnetic resonance spectroscopy (NMR) and X-ray diffraction offered critical insights into the structure of E. coli CsgA fibrils, revealing their hallmark cross-β architecture (1, 2).Despite these advances, curli fibers have remained challeng ing to characterize structurally, primarily due to the high aggregation propensity and intrinsically disordered nature of monomeric CsgA. Structural insights into E. coli CsgA and P. korlensis R15.5 amyloid fibril assemblyMotivated by recent progress in cryo-electron microscopy (cryo-EM), we initiated efforts in 2022 to determine the high-resolution structure of E. coli CsgA amyloid fibrils.However, the disordered nature of wild-type CsgA posed significant obstacles for downstream cryo-EM analysis.In the course of our work, we encountered an innovative study by Chapman's group (3), which described the engineering of a double-cysteine mutant of CsgA, with mutations placed in non-amyloidogenic regions.They demonstra ted that " CsgA CC +TCEP formed fibril structures of identical morphology to wild-type fibers, " as confirmed by transmission electron microscopy.We found this mutant particularly advantageous for our study, as it enabled more controlled polymerization of CsgA.In addition, the engineered cysteines introduced two extra negative charges at pH levels above 8, potentially enhancing electrostatic repulsion and promoting fibril dispersion.To optimize structural analysis, we examined CsgA fibril morphology across a broad spectrum of buffer conditions.These efforts culminated in the acquisition of a cryo-EM density map that we were able to analyze.The resulting map revealed discernible secondary structure features of the CsgA fibrils and, for the first time, allowed us to measure the β-helical dimensions of CsgA (4), which we compared with previous computational predictions.Notably, these measurements aligned closely with the model proposed by Tian et al. ( 5), providing strong experimental validation.Additionally, our lower-resolution maps revealed how two fibrils make contact or bundle together, offering further insight into their supramolecular organization.However, our study also highlighted persistent challenges: "the unambiguous determi nation of monomer connectivity was not feasible at the current resolution" and "the detailed interactions between molecules within a fibril remain to be elucidated through future higher-resolution structural studies."During the submission of our manuscript, we became aware that Sleutel et al. ( 6) were also pursuing cryo-EM-based structural studies of CsgA amyloids.They subsequently published a study on fibrils of Pontibacter korlensis R15.5, a CsgA homolog.We were excited to see that both groups independently addressed the structural question of CsgA

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.069
Threshold uncertainty score0.954

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.014
GPT teacher head0.296
Teacher spread0.282 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
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

Citations1
Published2025
Admission routes2
Has abstractyes

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