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Record W7161942494 · doi:10.82308/41457

The development of a guided inducible dCas9 system to block FKBP5 demethylation and the effect of this blockade on FKBP5 expression and the development of Post Traumatic Stress Disorder

2024· dissertation· en· W7161942494 on OpenAlexaboutno aff
Chloe Margue

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldNeuroscience
TopicStress Responses and Cortisol
Canadian institutionsnot available
Fundersnot available
KeywordsFKBP5Traumatic stressBlockadePopulationDiseaseMethylationStressorDemethylation

Abstract

fetched live from OpenAlex

FKBP5 is a gene that plays a crucial role in stress response and is known to be involved in stress-related psychiatric disorders, particularly Post Traumatic Stress Disorder (PTSD). PTSD is a devastating condition that has an adverse impact in Canada and across the world with an estimated lifetime prevalence of 3.9% in the general population and 5.6% amongst people who have been exposed to trauma. Women are also more likely to be affected than men, with rates almost twice as high. In Canada, it is estimated that 9.2% of the population will experience PTSD at some point in their lives. PTSD can be caused by exposure to a traumatic event or even indirectly, when one strongly identifies to someone who has been exposed to the triggering trauma. The body naturally responds to such events with fear and other physiological mechanisms, it is the “fight or flight response”. However, if the symptoms persist over time, it can lead to a diagnosis of PTSD. Although studies have suggested a correlation between the methylation state of FKBP5 and the likelihood of developing PTSD after early trauma, such as child abuse, the causal relationship between the methylation state of cytosine-phosphate-guanine-dinucleotides (CpGs) and long-term stress effects is still unknown. Our hypothesis is that if FKBP5 demethylation plays a causal role in the stress response, preventing it from happening would dampen the stress response. To investigate this, we developed an inducible dCas9 model that targets specific sites in FKBP5, which are believed to be involved in the gene's regulation and impact on stress response. We aim to test this system in HEK cells, confirm if early stress demethylates these CpG sites, determine when this occurs, and prevent it from happening using our dCas9 inducible system. By studying how this affects FKBP5 expression and the cell's response to stress, we can establish the causal role between methylation and stress response. Our mutagenesis and lentiviral experiments helped us develop the system, which we then infected into HEK 293T cells. We used Western blot to test the efficiency of the system. We successfully created a pool of inducible plasmids targeting 14 different CpG sites potentially important in FKBP5 regulation. We infected HEK 293T cells with some of these plasmids to test the system and were able to study the optimum conditions for induction and system efficiency. We also established a baseline methylation state/percentage of important CpG sites in HEK 293T cells. We have started developing a model with oxidized CpG sites in FKBP5 to test the system's efficiency on them. Our experiments show that we can create a fully adaptable and efficient inducible dCas9 system that targets specific sites for a certain amount of time, allowing steric inhibition of methylation or demethylation. This could lead to the development of new treatments and prevention strategies for PTSD and other psychiatric stress-related disorders

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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.020
GPT teacher head0.294
Teacher spread0.274 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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