MétaCan
Menu
Back to cohort
Record W2049741091 · doi:10.1158/1535-7163.targ-13-b20

Abstract B20: Defining the minimal ING1b-derived peptide that is pro-apoptotic.

2013· article· en· W2049741091 on OpenAlexaff
Oleksandr Boyko, Karl Riabowol

Bibliographic record

VenueMolecular Cancer Therapeutics · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Degradation and Inhibitors
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsApoptosisBiologyCancer researchCancer cellCarcinogenesisCancerCell biologyMolecular biologyGenetics

Abstract

fetched live from OpenAlex

Abstract The Inhibitor of Growth 1b (ING1b) is a type II tumor suppressor and a core member of HDAC-containing chromatin-modifying complexes. ING1b contributes to regulation of gene expression, DNA damage repair and stress signalling, cell growth and senescence, tumorigenesis and apoptosis. Mislocalization of ING1b and decreased levels of ING1b are commonly found in human tumors and cancer cell lines, suggesting the possibility of using ING1b levels as a prognostic marker in clinics. Consistent with a pro-apoptotic function, ING1b protein positively regulates p21 and bax gene expression, and ING1b overexpression promotes apoptosis in p53-dependent and p53-independent manners. The inactivation of apoptosis pathways that is frequently observed in cancer cells causes a dramatic decrease in the efficiency of many cancer treatments. The inactivation of ING1b and suppression of apoptosis in tumors and a greater sensitivity of cancer vs. normal cells to elevated levels of ING1b suggest that modulation of ING1b expression in tumors may serve as a viable approach for cancer therapy. In this study we aim to expand our understanding of the molecular mechanism(s) by which ING1b promotes apoptosis in cancer cells. Consistent with a wide range of ING1b molecular functions, the protein displays a complex multidomain architecture. Here we define ING1b regions that are necessary for its apoptotic function to design minimal recombinant peptides with potent apoptosis-inducing properties. We previously noted that overexpression of a peptide containing multiple copies of the highly conserved Lamin Interacting Domain (LID) could induce apoptosis in a rapid and efficient way in several cancer cell line models. Here we report that peptides containing the third alpha helix (A3H) and NLS/NTS domains of the ING1b protein are able to induce apoptosis at levels comparable with those seen for full length ING1b protein. While the A3H region is necessary but not sufficient, the NLS domain is required, and partially sufficient, for induction of apoptosis. Cells overexpressing full length ING1b protein or the A3H-NLS peptide show similar changes in cell morphology characteristic of apoptosis, exhibit increased levels of PARP cleavage, and display similar levels of apoptosis as determined by FACS analysis using an Annexin V assay. Our ongoing studies will identify binding partners of the A3H-NLS peptide using mass spectrometry, and determine if the observed pro-apoptotic function of the A3H-NLS peptide requires the presence of these partners. Future experiments will assess the efficacy and specificity of the minimal peptide for controlling cancer cell growth and progression in cell lines and mouse breast cancer models via adenoviral delivery. Our long-term goal is to better define apoptosis pathways and to develop ING1b-based therapeutics for the selective induction of apoptosis in cancer cells. Citation Information: Mol Cancer Ther 2013;12(11 Suppl):B20. Citation Format: Oleksandr Boyko, Karl Riabowol. Defining the minimal ING1b-derived peptide that is pro-apoptotic. [abstract]. In: Proceedings of the AACR-NCI-EORTC International Conference: Molecular Targets and Cancer Therapeutics; 2013 Oct 19-23; Boston, MA. Philadelphia (PA): AACR; Mol Cancer Ther 2013;12(11 Suppl):Abstract nr B20.

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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.024
GPT teacher head0.272
Teacher spread0.248 · 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
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueMolecular Cancer TherapeuticsSame topicProtein Degradation and InhibitorsFrench-language works237,207