A chromatin-focused CRISPR screen identifies USP22 as a barrier to somatic cell reprogramming
Bibliographic record
Abstract
Cell-autonomous barriers to reprogramming somatic cells into induced pluripotent stem cells (iPSCs) remain poorly understood. Using a focused CRISPR-Cas9 screen, we identified Ubiquitin-specific peptidase 22 (USP22) as a key chromatin-based barrier to human iPSC derivation. Suppression of USP22 significantly enhances reprogramming efficiency. Surprisingly, this effect is likely to be independent of USP22's deubiquitinase activity or its association with the SAGA complex, as shown through module-specific knockouts, and genetic rescue experiments. USP22 is not required for iPSC derivation or maintenance. Mechanistically, USP22 loss during reprogramming downregulates fibroblast-specific genes while activating pluripotency-associated genes, including DNMT3L, LIN28A, SOX2, and GDF3. Additionally, USP22 loss enhances reprogramming efficiency under naïve stem cell conditions. These findings reveal an unrecognized role for USP22 in maintaining somatic cell identity and repressing pluripotency genes, highlighting its potential as a target to improve reprogramming efficiency.
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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) | 0.001 | 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) | 0.002 | 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 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".