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Record W2814843997 · doi:10.1111/mmi.14071

A <i>Borrelia burgdorferi</i> mini‐<i>vls</i> system that undergoes antigenic switching in mice: investigation of the role of plasmid topology and the long inverted repeat

2018· article· en· W2814843997 on OpenAlexafffund
Mildred Castellanos, Theodore B. Verhey, George Chaconas

Bibliographic record

VenueMolecular Microbiology · 2018
Typearticle
Languageen
FieldImmunology and Microbiology
TopicVector-borne infectious diseases
Canadian institutionsUniversity of Calgary
FundersCanadian Institutes of Health Research
KeywordsPlasmidBiologyBorrelia burgdorferiGeneticsLocus (genetics)GeneAmpliconTopology (electrical circuits)Escherichia coliPolymerase chain reactionAntibody

Abstract

fetched live from OpenAlex

Borrelia burgdorferi evades the host immune system by switching the surface antigen. VlsE, in a process known as antigenic variation. The DNA mechanisms and genetic elements present on the vls locus that participate in the switching process remain to be elucidated. Manipulating the vls locus has been difficult due to its instability on Escherichia coli plasmids. In this study, we generated for the first time a mini-vls system composed of a single silent vlsE variable region (silent cassette 2) through the vlsE gene by performing some cloning steps directly in a highly transformable B. burgdorferi strain. Variants of the mini system were constructed with or without the long inverted repeat (IR) located upstream of vlsE and on both circular and linear plasmids to investigate the importance of the IR and plasmid topology on recombinational switching at vlsE. Amplicon sequencing using PacBio long read technology and analysis of the data with our recently reported pipeline and VAST software showed that the system undergoes switching in mice in both linear and circular versions and that the presence of the hairpin does not seem to be crucial in the linear version, however it is required when the topology is circular.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.070
Threshold uncertainty score0.893

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
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 head0.004
GPT teacher head0.193
Teacher spread0.189 · 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 designBench or experimental
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

Citations10
Published2018
Admission routes2
Has abstractyes

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