Cloning, Expression and Purification of the Antimicrobial Targets EtfB and EtfDh of Burkholderia cenocepacia
Bibliographic record
Abstract
Burkholderia cenocepacia is a pathogenic bacterium that causes life-threatening infections in cystic fibrosis patients.Through a conditional growth mutant library, two essential genes of this bacterium, etfB and etfDh, encoding an electron transfer flavoprotein unit and an etf dehydrogenase respectively, have been identified.While the essential role of these proteins in B. cenocepacia is unknown, protein characterization and interaction analysis will aid in the development of their capacity as antimicrobial targets.The experimental goal of this study was to clone, express, and purify etfB and etfDh.Both genes were separately cloned into the bacterial plasmid pE-SUMO and transformed into E. coli BL21-DE3 GOLD.Protein expression of etfB and etfDh was induced by isopropyl β-D-1-thiogalactopyranoside (IPTG), and the soluble and insoluble protein fractions were analyzed.etfB was found in the soluble fraction, which is expected as ETFs are cytoplasmic proteins.etfDh was mainly present in the insoluble fraction suggesting that the B. cenocepacia etfDh is a membrane-bound dehydrogenase.The protein purification process has resulted in a highly pure etfB and etfDh samples, which can be used to raise antibodies.Consequently, antibodies raised against these proteins will allow immunofluorescence and coimmunoprecipitation studies of etfB and etfDh.The results of the current work provide the tools to address the hypothesis of an intracellular interaction between cytoplasmic etfB and membrane-bound etfDh to further understand their role and essentiality in B. cenocepacia.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".