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Record W4380489777 · doi:10.1530/rep-22-0482

Peptidylarginine deiminase 2 regulates expression of DGCR8 affecting miRNA biogenesis in gonadotrope cells

2023· article· en· W4380489777 on OpenAlexaff
Brett A Ralston, Lamia Khan, Stanley B. DeVore, Trent A Bronnenberg, Joseph W Flock, Ari O. Sequoia, Amy M. Navratil, Brian D. Cherrington

Bibliographic record

VenueReproduction · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicroRNA in disease regulation
Canadian institutionsUniversity of Alberta
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Institute of General Medical Sciences
KeywordsDroshaCell biologyBiologymicroRNAHistoneGonadotropic cellMolecular biologyGeneticsGeneLuteinizing hormoneRNA interferenceRNABiochemistryHormone

Abstract

fetched live from OpenAlex

In brief: DGCR8 microprocessor complex, which is important for miRNA biogenesis, is regulated by peptidylarginine deiminase 2 and expression fluctuates in gonadotrope cells across the mouse estrous cycle. Abstract: Canonical miRNA biogenesis requires DGCR8 microprocessor complex subunit, which helps cleave pri-miRNAs into pre-miRNAs. Previous studies found that inhibiting peptidylarginine deiminase (PAD) enzyme activity results in increased DGCR8 expression. PADs are expressed in mouse gonadotrope cells, which play a central role in reproduction by synthesizing and secreting the luteinizing and follicle stimulating hormones. Given this, we tested whether inhibiting PADs alters expression of DGCR8, DROSHA, and DICER in the gonadotrope-derived LβT2 cell line. To test this, LβT2 cells were treated with vehicle or 1 µM pan-PAD inhibitor for 12 h. Our results show that PAD inhibition leads to an increase in DGCR8 mRNA and protein. To corroborate our results, dispersed mouse pituitaries were also treated with 1 µM pan-PAD inhibitor for 12 h which increases DGCR8 expression in gonadotropes. Since PADs epigenetically regulate gene expression, we hypothesized that histone citrullination alters Dgcr8 expression thereby affecting miRNA biogenesis. LβT2 samples were subjected to ChIP using an antibody to citrullinated histone H3, which shows that citrullinated histones are directly associated with Dgcr8. Next, we found that when DGCR8 expression is elevated in LβT2 cells, pri-miR-132 and -212 are reduced, while mature miR-132 and -212 are increased suggesting heightened miRNA biogenesis. In mouse gonadotropes, DGCR8 expression is higher in diestrus as compared to estrus, which is the inverse of PAD2 expression. Supporting this idea, treatment of ovariectomized mice with 17β-estradiol results in an increase in PAD2 expression in gonadotropes with a corresponding decrease in DGCR8. Collectively, our work suggests that PADs regulate DGCR8 expression leading to changes in miRNA biogenesis in gonadotropes.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score0.473

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 head0.011
GPT teacher head0.247
Teacher spread0.236 · 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
Published2023
Admission routes1
Has abstractyes

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