CRISPR/Cas9 screening reveals Zfp607b as a novel transcription factor regulating myogenesis
Bibliographic record
Abstract
CRISPR/Cas9 screening reveals Zfp607b as a novel transcription factor regulating myogenesis Skeletal muscle formation (myogenesis) is a complex process, and transcription factors (TFs) play an important role in controlling the phases of developmental myogenesis, particularly in myoblast proliferation and differentiation. 1 However, the functions of numerous TFs in myoblast development and myogenesis remain unclear.To systematically identify TFs regulating myogenesis in skeletal muscle, we performed a genome-scale CRISPR-Cas9 loss-offunction (LOF) screen in mouse myoblast cells to identify TFs whose loss contributes to skeletal muscle proliferation.After screening, we identified 855 TFs closely associated with C2C12 cell proliferation.Functionally, we validated that Zfp607b improved skeletal muscle differentiation and regeneration using RNA interference knockdown in vitro and lentiviral injection in vivo.For the top fold-change genes in the TF knockout cell library, we explored potential mechanisms using transcriptomics and immunofluorescence.In conclusion, we constructed a genome-wide TF knockout cell library in myoblast and identified a novel TF, Zfp607b, that significantly participated in myogenesis and skeletal muscle regeneration.Our findings contribute to the understanding of the ZFP family involved in myogenesis and regeneration and provide a platform for studying the biological function of TFs in the future.Furthermore, our study offers valuable resources for understanding skeletal muscle development and human muscle-related diseases.In this study, we successfully established a monoclonal C2C12-Cas9 cell line and identified the CRISPR efficiency using Western blot, indirect immunofluorescence assay, and gene editing sequencing.Cas9 proteins were detected via Western blot (Fig. S1A), and the results of indirect immunofluorescence assay showed Cas9 proteins expressed in the cytoplasm of C2C12-Cas9 monoclonal cells, indicated by
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".