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Record W6989879863

CHARACTERIZATION OF BINDING AND ACTIVATION MECHANISMS OF BAK

2025· dissertation· en· W6989879863 on OpenAlexfundno aff

Bibliographic record

VenueMacSphere (McMaster University) · 2025
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCell death mechanisms and regulation
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchDeutsche Forschungsgemeinschaft
KeywordsProgrammed cell deathApoptosisTransfectionMulticellular organismConfocal microscopyFörster resonance energy transferCell cultureConfocalMitochondrionPlasma protein binding
DOInot available

Abstract

fetched live from OpenAlex

Background Cell death is required for the development and function of all multicellular organisms by eliminating damaged cells, thereby maintaining physiological homeostasis. Dysregulation of cell death contributes to the development of diseases such as cancer, autoimmune and neurodegenerative diseases. The onset of cell death involves the activation of BCL-2 family executioner proteins Bax and Bak by the BH3-only activators Bid, Bim or Puma. Executioner proteins Bak and Bax are both involved in the pore formation process on the mitochondrial membrane, however, recent evidence suggests that Bax and Bak are differentially activated. Understanding such mechanistic differences opens the possibilities for pharmaceutical interventions via Bax/Bak-mediated apoptosis due to their differential expression profiles across various diseased/healthy tissues. Methods FLIM (Fluorescence Lifetime Imaging Microscopy)-FRET (Förster resonance energy transfer) in live cells was done in BMK DKO and HCT116 DKO cell lines expressing the donor mCerulean3 or mTurquoise2 N-terminally fused to the protein-of-interest in cell lines stably expressing donor mCerulean3 (mC3)-fused to Bax or Bak without its carboxyl terminal, enabling survival of Bax/Bak expressing cells upon transient expression of the acceptor Venus-fused BH3-only activators. Transfected cells were imaged on the INO-FHS confocal microscope to obtain the fluorescence lifetime of mCerulean3.Fluorescent protein standards were used to convert intensity into concentration, and a Hill-slope fit of the binding curves was used to determine dissociation constants (KD) in live cells. The apparent KD values were obtained from the fitted Hill-equation (h=1) of the binding data after subtracting the fitted binding data of the negative collisional controls from each fitted construct's original binding data for each construct. If the final binding curves' BMAX y values (ΔѠ) were below the threshold of 0.04, the binding data were deemed insufficient (NSF). Unpaired student t-test with Welch's correction assuming Gaussian distribution with unequal standard deviation was used to determine statistical significance. Orthogonal in vitro binding assays using recombinant proteins were carried out to validate our FLIM-FRET findings. Activation of Bak by BH3-only proteins was tested using terbium-release liposome permeabilization assay in vitro and dox-inducible mC3-Bak cell death assay in live cells. Conclusion Here, we report that Bid is more efficient than Bim at activating Bak, with the BH3 region of Bid enabling high affinity binding to Bak. Further, effective Bak activation by Bim or Bid requires both binding of the BH3-motifs to the BH3-binding pocket of Bak and additional interactions between the activator proteins and the Bak-CTS. For Bim, the additional interaction with the Bak-CTS necessary for robust Bak activation is with the CTS of Bim.

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)0.001
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 score0.007
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.002

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 head0.007
GPT teacher head0.190
Teacher spread0.184 · 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
Published2025
Admission routes1
Has abstractyes

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