MétaCan
Menu
← Back to cohort
Record W3047089095 · doi:10.1158/1538-7445.pedca19-b49

Abstract B49: Modeling a pathogenic <i>SAMD9</i> mutation in human induced pluripotent stem cells

2020· article· en· W3047089095 on OpenAlexaboutno aff
Jason R. Schwartz, Jon P. Connelly, Shondra M. Pruett‐Miller, Jeffery M. Klco

Bibliographic record

VenueCancer Research · 2020
Typearticle
Languageen
FieldMedicine
TopicCAR-T cell therapy research
Canadian institutionsnot available
Fundersnot available
KeywordsInduced pluripotent stem cellCancer researchBiologyMyeloidStem cellHaematopoiesisChromosome 7 (human)Progenitor cellGeneticsEmbryonic stem cellGeneChromosome

Abstract

fetched live from OpenAlex

Abstract Germline mutations in SAMD9 are the molecular determinants of some pedigrees with familial monosomy 7 and myelodysplastic syndrome (MDS) (OMIM 252270), MIRAGE syndrome (myelodysplasia, infection, restriction of growth, adrenal hypoplasia, genital phenotypes, enteropathy), and other nonsyndromic pediatric MDS. Mutations identified thus far have been associated with decreased growth of hematopoietic stem and progenitor cells (HSPCs) and bone marrow hypocellularity. Previous studies suggest that the wild-type function of SAMD9 is growth restrictive; therefore, the mutations identified in pediatric MDS have been deemed gain-of-function (GoF), given the exaggerated antiproliferative phenotype demonstrated in overexpression systems within nonhematopoietic cell lines, most commonly HEK-293T. To date, no model systems are available to study the impact of these mutations in their endogenous locus, a locus known to be induced by inflammatory stimuli, namely interferon (IFN). Here we report our development, using CRISPR/Cas9 genomic engineering, of two separate isogenic human induced pluripotent stem cell (iPSC) lines, derived from a non-neoplastic iPSC line (BJFF.6), containing a known pathogenic SAMD9 mutation (c.3406G>C; p.E1136Q), which we previously identified in a family with monosomy 7 and MDS. From this mutated iPSC line we are able to successfully differentiate hematopoietic precursors and myeloid cells that contain a pathogenic SAMD9 mutation. Using our novel pediatric MDS model system, we demonstrate that in the presence of IFN, viability of HSPCs (CD34+) and differentiated myeloid cells (CD13+) is significantly decreased when the SAMD9 p.E1136Q mutation is present (CD34+; WT=16.7% vs Mut=11.5% (p=0.05), CD13+; WT=22.6% vs. Mut=3.5% (p<0.0001)). Furthermore, we show that the genomically engineered SAMD9 locus of our iPSC-derived CD34+ and CD13+ cells remains robustly responsive to IFN stimulation. The basal level of SAMD9 expression is higher in differentiated myeloid cells than in HSPCs, a finding consistent with expression levels within normal hematopoiesis. These data suggest that we have a SAMD9 mutant pediatric MDS model system that provides a plentiful source of cells in which the effect of specific mutations on hematopoietic differentiation, proliferation, and viability may be investigated. Citation Format: Jason R. Schwartz, Jon P. Connelly, Shondra M. Pruett-Miller, Jeffery M. Klco. Modeling a pathogenic SAMD9 mutation in human induced pluripotent stem cells [abstract]. In: Proceedings of the AACR Special Conference on the Advances in Pediatric Cancer Research; 2019 Sep 17-20; Montreal, QC, Canada. Philadelphia (PA): AACR; Cancer Res 2020;80(14 Suppl):Abstract nr B49.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

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)0.0030.001

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 head0.225
GPT teacher head0.432
Teacher spread0.206 · 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 designSimulation or modeling
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
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueCancer Research→Same topicCAR-T cell therapy research→French-language works237,207→