Bibliographic record
Abstract
Abstract DICER1 is an endoribonuclease central to generating microRNAs (miRNAs), small RNA molecules that downregulate the expression of approximately 30% of protein-coding genes. Germ-line mutations in DICER1 have been identified in patients afflicted with a pleiotropic tumor predisposition syndrome, usually referred to as DICER1 syndrome (OMIM 606241). DICER1 syndrome is thought to originate from a mesenchymal cell bearing a frameshift or nonsense mutation on one allele and a missense mutation affecting the RNase IIIb domain on the other allele. While interest in the role of DICER1 in normal development and pathogenesis has been explored in both the knockout and overexpression context, neither situation is relevant for understanding DICER1 syndrome. We hypothesize that defective DICER1 protein production in a mesenchymal stem cell at a critical time in development leads to altered miRNA populations that, in turn, initiate or prime cells for tumorigenesis. The goal of this study was to develop and characterize a model of the putative tumor-initiating cell namely a mesenchymal stromal cell (MSC) bearing a DICER1 RNase IIIb mutation. SV-40 immortalized mouse mesenchymal stromal cells (MSCs) containing a homozygous floxed exon for DICER1 were ex vivo cre inactivated to produce Dicer-/- MSCs. Into these Dicer-/- MSCs, a FLAG-tagged human DICER1, a FLAG-tagged RNase IIIa mutant DICER1, and a FLAG-tagged RNase IIIb mutant DICER1 were stably introduced. Cells were characterized by Western blot in response to serum starvation and stimulation. Their ability to form anchorage-independent colonies was assessed by soft agar assay pre- and post-oncogene introduction. Transcriptomes were interrogated by gene expression microarray. Results: Alterations in protein expression were observed in cells in response to starvation and stimulation. Certain cell lines were able to produce anchorage-independent colonies. Conclusions: We have created MSCs bearing RNase IIIb-mutated DICER1 to model DICER1 syndrome. We suggest that the ability for an MSC to produce only 3p miRNAs in the presence of an oncogene can allow for anchorage-independent growth. Citation Format: Mona K. Wu. Modeling DICER1 syndrome in cells [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 3107.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".