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Record W7132957676

Validating SCAP as a Therapeutic Target for Colorectal Cancer

2024· dissertation· W7132957676 on OpenAlexaff
Aisha Saleh Abdullah Al-Naamani

Bibliographic record

VenueTSpace · 2024
Typedissertation
Language
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer, Lipids, and Metabolism
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsGene knockdownTranscription factorColorectal cancerCell growthLipid metabolismCell cultureSterol regulatory element-binding proteinAutophagyCell
DOInot available

Abstract

fetched live from OpenAlex

Colorectal cancer (CRC) is the second leading cause of cancer-related deaths worldwide with an increased prevalence in adults below 50 years old, highlighting the need to develop more therapeutic options. Data mining from genome-wide dropout screens revealed the essentiality of sterol regulatory element binding protein cleavage activating protein (SCAP) on the proliferation of CRC cell lines. In this study, we demonstrate that SCAP knockdown leads to marked antiproliferation, with variability in the phenotypic strength across the CRC cell lines tested. SCAP knockdown reduced mRNA expression of its transcription factor binding partners SREBP1/2, and their transcriptional target genes, primarily impacting lipid homeostasis. SCAP knockdown induced autophagy and multiple cell-specific disruptions in cell cycle progression, which preceded caspase-independent cell death. Global metabolic profiling was performed to further characterize the growth suppressive mechanism and uncovered significant metabolic perturbations in multiple pathways. A profound shift was observed in lipid pathways including cholesterol and monounsaturated fatty acid (FA) synthesis. The decrease in FA synthesis affected downstream derivatives, diverting most of the remaining FAs towards phosphatidylcholine and decreasing acyl-carnitine formation. Furthermore, nicotinamide and polyamine metabolism were greatly affected, resulting in significantly elevated metabolites, notably 1-methylnicotinamide, acetylated spermidine, and spermine.Despite challenges, we successfully expressed and purified the full-length human SCAP and its WDR domain. While cells do not favor overexpressing full-length SCAP, we found that the membrane fraction was the most productive for isolating SCAP with a mild detergent buffer (2% DDM+ 0.4% CHS). For the WDR domain we further optimized our expression constructs to shorten the flexible loops and greatly improve the purification quality and protein solubility. Although crystal screening of the WDR domain has been unsuccessful so far, the protein behavior is promising, and more screening conditions will be explored. Our findings underscore the significance of SCAP in CRC cell proliferation, suggesting that targeting SCAP could offer a promising therapeutic intervention for CRC. Additionally, this work provides the starting ground to determine the crystal structure of SCAP, by establishing a robust and stable recombinant protein for future crystallography efforts, and small molecule screening, which are critical for a future drug discovery effort.

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)0.001
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
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.015
GPT teacher head0.357
Teacher spread0.342 · 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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