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Record W2110613006 · doi:10.1093/nar/gkm1162

Lsr2 of Mycobacterium tuberculosis is a DNA-bridging protein

2008· article· en· W2110613006 on OpenAlexafffund
Jeffrey M. Chen, Huiping Ren, James E. Shaw, Yu Jing Wang, Ming Li, Andrea S. Leung, Vanessa Tran, Nicolas M. Berbenetz, Dana Kocíncová, Christopher M. Yip, Jean‐Marc Reyrat, Jun Liu

Bibliographic record

VenueNucleic Acids Research · 2008
Typearticle
Languageen
FieldMedicine
TopicMycobacterium research and diagnosis
Canadian institutionsUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsBiologyNucleoidDNAMutantGeneticsDNA-binding proteinMycobacterium tuberculosisGeneCell biologyDNA gyraseMicrobiologyEscherichia coliTuberculosisTranscription factor

Abstract

fetched live from OpenAlex

Lsr2 is a small, basic protein present in Mycobacterium and related actinomycetes. Recent studies suggest that Lsr2 is a regulatory protein involved in multiple cellular processes including cell wall biosynthesis and antibiotic resistance. However, the underlying molecular mechanisms remain unknown. In this article, we performed biochemical studies of Lsr2-DNA interactions and structure-function analysis of Lsr2. Analysis by atomic force microscopy revealed that Lsr2 has the ability to bridge distant DNA segments, suggesting that Lsr2 plays a role in the overall organization and compactness of the nucleoid. Mutational analysis identified critical residues and selection of dominant negative mutants demonstrated that both DNA binding and protein oligomerization are essential for the normal functions of Lsr2 in vivo. These results provide strong evidence that Lsr2 is a DNA bridging protein, which represents the first identification of such proteins in bacteria phylogenetically distant from the Enterobacteriaceae. DNA bridging by Lsr2 also provides a mechanism of transcriptional regulation by Lsr2.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.060
GPT teacher head0.345
Teacher spread0.285 · 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.

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

Citations108
Published2008
Admission routes2
Has abstractyes

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