Validation and characterization of putative NHE6-interacting proteins identified by yeast two-hybrid screening and tandem affinity purification :
Bibliographic record
Abstract
L'auteur a accordé une licence non exclusive permettant à la Bibliothèque et Archives Canada de reproduire, publier, archiver, sauvegarder, conserver, transmettre au public par télécommunication ou par l'Internet, prêter, distribuer et vendre des thèses partout dans le monde, à des fins commerciales ou autres, sur support microforme, papier, électronique et/ou autres formats.L'auteur conserve la propriété du droit d'auteur et des droits moraux qui protège cette thèse.Ni la thèse ni des extraits substantiels de celle-ci ne doivent être imprimés ou autrement reproduits sans son autorisation.Conformément à la loi canadienne sur la protection de la vie privée, quelques formulaires secondaires ont été enlevés de cette thèse.Bien que ces formulaires aient inclus dans la pagination, il n'y aura aucun contenu manquant.This work would not have been possible without the support of my supervisor Dr. John Orlowski, the help of my colleagues and the understanding of my husband, parents and friends. 1 would like to thank first and foremost Dr. Orlowski for giving me the chance to do research in cellular biology despite my engineering background.This enriching experience had a big impact on my life, as it made me realize that despite the long hours of work and the frustrating days when nothing seems to work, my true vocation is to advance knowledge through research.Most importantly, 1 grant much credit to Dr. Orlowski for making every day (or almost) of my two years in his laboratory a day 1 was looking forward to. 1 believe that his overflowing enthusiasm, his genuine personality and his understanding and patience had a lot to do with it.1 would like to thank him for always taking the time to answer my numerous questions and for guiding me through all the steps of my project. 1 would also like to thank the other graduate students in the laboratory and our technician for being such good friends.My project wouldn't have started as weIl as it did without the assistance of Mrs. Alina Ilie who taught me almost aH the laboratory techniques that 1 needed to know.She also helped me to interpret my results on several occasions, in addition to giving me a hand in the making of the GST -fusion constructs and the insertion of NHE6 into the T APtag-containing vector. 1 would also like to thank Mr. Hans Zaun for always being available to answer my questions.Mr. Ewen Jones was very helpful in teaching me a rigorous scientific way of thinking, in advising me with the design and making of my DNA constructs and in my familiarisation with the confocal microscope. 1 am also grateful to Mr. Tushare Jinadasa for his assistance with computer issues and for his help in improving my immunoprecipitation technique.1 would like to give credit to Mrs. Annie Boucher and Dr. Viktoria Lukashova for their support with different aspects of my project and with personal issues.1 would like to give credit to the following people from the Génome Québec Innovation Center: Dr. Marcos Rafael Di Falco for running aH my samples through the mass spectrometer and for his assistance in troubleshooting my TAP experiments and Mr. ii Leonid Kriazhev for running the aliquots of my purified samples through gel electrophoresis and for sil ver staining the gels. 1 would like to thank the members of my supervisory committee for their time, their useful advices and their thought provoking questions, and especially Dr. Ursula Stochaj, who always encouraged me to think positively about my results and who has
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.003 |
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".