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S156 IPF associated DNA methylation and gene expression changes in lung fibroblasts: airway and parenchymal distinction and XY chromosome profiling

2024· article· en· W4404045954 on OpenAlexaff
Arvind G Valand, Poojitha Rajasekar, AL Lagan, Jamie Patel, BS Barksby, RA Burgoyne, Julie L. MacIsaac, DTS Lin, ST May, Marcos Castellanos‐Uribe, MS Kobor, TL Hackett, Andrew J. Halayko, Alan J. Knox, AJ Fisher, Lee A. Borthwick, R Clifford

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsUniversity of ManitobaBC Children's HospitalUniversity of British Columbia
Fundersnot available
KeywordsDNA methylationParenchymaBiologyGene expression profilingChromosomeGene expressionLungGenePathologyGeneticsMedicineInternal medicine

Abstract

fetched live from OpenAlex

Rationale Idiopathic pulmonary fibrosis (IPF) is a progressive, fibrotic lung disease, that is predominant in men and has been associated with cell specific alterations to DNAm. Fibroblasts isolated from airways (AF) and parenchyma (PF) are phenotypically different. While most DNAm studies discard XY chromosome data during preprocessing, due to difference in profile compared to autosomal chromosomes, we developed a pipeline to interrogate XY DNAm. Here we investigated differential IPF associated gene expression (GE) and DNAm in AF and PF, including the XY chromosomes. Methods DNA and RNA were isolated from AF (8 non-IPF, 8 IPF) and PF (14 non-IPF, 8 IPF) at passage 4 (AllPrep DNA/RNA Mini Kit (Qiagen)). DNA was bisulphite-converted and DNAm profiled using the Illumina HumanMethylation EPIC BeadChip array. RNA was profiled by Affymetrix Human Gene 2.1 ST Array. IPF associations irrespective of fibroblast type (~Disease+CellType+Gender+Age) and specific to fibroblast type (~Disease*CellType+Gender+Age) were identified by linear modelling of autosomal and male X and male Y chromosomes separately (Benjamini-Hochberg, p<0.05). Expression quantitative trait methylation (eQTM) was used to investigate the association between differential GE and DNAm. Results On autosomal chromosomes, 12,287 probes and 166,329 methylation sites (CpGs) were differentially expressed and methylated in IPF fibroblasts compared to non-IPF fibroblasts, regardless of subtype (AF/PF). 92.87% of differentially expressed probes correlated with a methylation change in at least one CpG site (10,209,277 individual CpG-gene pairs). 249 probes and 20,522 CpGs were differentially associated with IPF in AF versus PF. 93.98% of cell specific IPF associated gene expression probes correlated with a methylation change (846,718 CpG-gene pairs). On the male X chromosome 4159 of 16,217 CpGs and 212 of 1542 probes showed differential methylation and expression in IPF versus non-IPF fibroblasts. On the male Y chromosome, 13 CpGs and 39 probes were differentially methylated and expressed. Fibroblast sub-type had minimal impact on differential expression and methylation on XY chromosomes. Conclusion DNAm is potentially an important cell-specific mechanism underlying differential GE in IPF, including changes on the XY chromosomes. Future work will further define XY chromosome DNAm and GE associations, and functionally characterise the role of DNAm in IPF GE in vitro.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0160.003

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 head0.032
GPT teacher head0.346
Teacher spread0.314 · 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 designObservational
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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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