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Record W4407285865 · doi:10.1093/jcag/gwae059.147

A147 CHARACTERIZATION OF EPIGENETIC MODIFICATIONS OF HUMAN COLONOID MONOLAYERS ESTABLISHED AS <i>IN VITRO</i> CHRONIC DAMAGE MODEL

2025· article· en· W4407285865 on OpenAlexaff
S Sandilya, Kristy Dever, Ji Jiang, B. Rees, Michael S. Kobor, Theodore S. Steiner

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2025
Typearticle
Languageen
FieldEngineering
TopicGraphene and Nanomaterials Applications
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsIn vitroEpigeneticsCharacterization (materials science)MonolayerComputational biologyCell biologyChemistryBiologyMaterials scienceNanotechnologyBiochemistryGene

Abstract

fetched live from OpenAlex

Abstract Background Our lab established an in vitro damage model using human colonoids grown as 2D Intestinal Epithelial Cells (IECs) monolayers in Air-Liquid Interface (ALI) culture. Upon repeated injury by submergence, these colonoid monolayers lost their epithelial barrier integrity and regrowth potential. Changes in mRNA expression and global proteomic profiling of this human model of injury were found to be very similar to those found in Inflammatory Bowel Disease (IBD) and pre-colon cancer like state. Aims Preliminary proteomics studies on these monolayers is suggestive of significant changes in expression of key proteins after progressive rounds of injury. These are quite similar to that seen in IBD. These could be strongly associated with epigenetic modifications, such as, DNA methylation and chromatin accessibility which would impact the gene expression, in these epithelial monolayers. This study aims to assess the epigenetic modifications of these injured IECs monolayers which will help in identification and validation of methylation at specific sites. Methods To assess the epigenetic modifications, these IEC monolayers from 2 human colonoid lines were analyzed pre-ALI, during growth and differentiation in ALI before injury, and after 1st, 3rd and 5th round of injury and recovery. Global methylation, at each of the conditions was assessed using the Illumina Infinium Methylation EPIC BeadChip, an array based technology, to assess the bisulphite-converted cellular DNA for methylation at CpG sites. Genomic DNA was extracted and bisulfite conversion was done using Zymo EZ DNA methylation kit. Methylation at specific sites has been calculated using the fluorescence intensity of methylated and unmethylated alleles. DNAm age estimator software, HOMER, was used to calculate the epigenetic age. Open chromatin accessibility for the viable cells was measured using bulk ATAC-Seq, which uses transposon based barcoding to build a library for sequencing of chromatin-accessible genes. Gene ontology process enrichment analysis has been used to identify changes in gene expression pathways at above mentioned stages. Results Progressive rounds of submergence injury lead to loss of barrier integrity, strongly correlated with significant genotypic and phenotypic changes.Increased DNA methylation and histone assembly found in our studies are reflective of chronic damage. Epigenetic characterization has helped in identfication of key specific targets which play modify pathways leading to chronic epithelial injury. Conclusions Correlative evidence from proteomics profiling and epigenetic characterization of this in vitro chronic damage model provides for an enhanced understanding of the initiation and progression of IBD and IBD associated colorectal cancer. Upregulated proteins after 5th round of damage Funding Agencies CCC

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.498
Threshold uncertainty score0.980

Codex and Gemma teacher scores by category

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

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 head0.005
GPT teacher head0.205
Teacher spread0.200 · 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 teacher head, 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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