Purification of adenoviral vector serotype 5 for gene therapy against alcoholism using anion exchange chromatography
Bibliographic record
Abstract
Abstract BACKGROUND Gene therapy is a potent alternative for long‐lasting inhibition of alcohol consumption. This study compares the purification of a recombinant adenoviral vector serotype 5 ( rAdV5 ) for use in gene therapy against alcoholism using two anion‐exchange methods. RESULTS Two anion‐exchange chromatography methods using fast protein liquid chromatography were compared using a packed‐bed column (Q‐Sepharose™ XL ) and two monolithic columns ( CIM ™ QA ‐1 and CIM ™ DEAE ‐1). An improved and reproducible separation of recombinant adenovirus type 5 from cell lysate contaminants was achieved using the two strong anion‐exchange columns in a two‐step gradient chromatography. Higher adenovirus yields were achieved using the CIM QA ‐1 tube monolithic column at sample volumes of both 1 and 10 mL compared with the Q‐Sepharose XL column. At higher flow rates, the CIM QA ‐1 tube monolithic column achieved better separation of the target fraction. Process recovery was improved from 28% using the Q‐Sepharose XL column to 34% with the CIM QA ‐1 tube monolithic column quantified as vector genome. Analysis by SDS‐PAGE demonstrated a purity of 70% for purified adenovirus using the CIM QA ‐1 tube monolithic column. CONCLUSION This study indicated that the use of a CIM QA ‐1 tube monolithic column is a better alternative than Q‐Sepharose XL , and CIM DEAE ‐1 tube monolithic columns for the primary purification process of rAdV5 carrying the human aldehyde dehydrogenase‐2 antisense gene. This purification strategy has been used as a basis to scale‐up a GLP process for the production of material at the National Research Council of Canada to be used in preclinical trials of this gene therapy against alcoholism. © 2017 Society of Chemical Industry
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".