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Record W2996593909 · doi:10.1101/2019.12.19.883579

Chromatin reorganization during myoblast differentiation involves the caspase-dependent removal of SATB2

2019· preprint· en· W2996593909 on OpenAlexafffund
Ryan A. V. Bell, Mohammad Al‐Khalaf, Steve Brunette, Alphonse Chu, Georg Dechant, Galina Apostolova, F. Jeffrey Dilworth, Lynn A. Megeney

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2019
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Chromatin Dynamics
Canadian institutionsOttawa HospitalUniversity of Ottawa
FundersCanadian Institutes of Health ResearchOttawa Hospital Research Institute
KeywordsChromatinCell biologyBiologyCellular differentiationProgenitor cellGeneTranscription factorLineage (genetic)GeneticsStem cell

Abstract

fetched live from OpenAlex

Summary Induction of lineage-specific gene programs are strongly influenced by alterations in local chromatin architecture. However, key players that impact this genome reorganization remain largely unknown. Here, we report that removal of special AT-rich binding protein 2 (SATB2), a nuclear protein that binds matrix attachment regions, is a key event in initiating myogenic differentiation. Deletion of SATB2 in muscle cell culture models and in vivo, accelerates differentiation and depletes the muscle progenitor pool, respectively. Genome wide analysis indicates that SATB2 binding is both repressive and inductive, as loss of SATB2 leads to expression of differentiation regulatory factors and inhibition of genes that impair this process. Finally, we noted that the differentiation-specific decline in SATB2 protein is dependent on a caspase 7-mediated cleavage event. Taken together, this study demonstrates that temporal control of SATB2 protein is critical for shaping the chromatin environment and coordinating the myogenic differentiation program. Graphical Abstract

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.081

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0240.003

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 head0.005
GPT teacher head0.183
Teacher spread0.178 · 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 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

Citations2
Published2019
Admission routes2
Has abstractyes

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