Homozygous mutation in the eukaryotic translation initiation factor 2alpha phosphatase gene,<i>PPP1R15B</i>, is associated with severe microcephaly, short stature and intellectual disability
Bibliographic record
Abstract
Protein translation is an essential cellular process initiated by the association of a methionyl-tRNA with the translation initiation factor eIF2. The Met-tRNA/eIF2 complex then associates with the small ribosomal subunit, other translation factors and mRNA, which together comprise the translational initiation complex. This process is regulated by the phosphorylation status of the α subunit of eIF2 (eIF2α); phosphorylated eIF2α attenuates protein translation. Here, we report a consanguineous family with severe microcephaly, short stature, hypoplastic brainstem and cord, delayed myelination and intellectual disability in two siblings. Whole-exome sequencing identified a homozygous missense mutation, c.1972G>A; p.Arg658Cys, in protein phosphatase 1, regulatory subunit 15b (PPP1R15B), a protein which functions with the PPP1C phosphatase to maintain dephosphorylated eIF2α in unstressed cells. The p.R658C PPP1R15B mutation is located within the PPP1C binding site. We show that patient cells have greatly diminished levels of PPP1R15B-PPP1C interaction, which results in increased eIF2α phosphorylation and resistance to cellular stress. Finally, we find that patient cells have elevated levels of PPP1R15B mRNA and protein, suggesting activation of a compensatory program aimed at restoring cellular homeostasis which is ineffective due to PPP1R15B alteration. PPP1R15B now joins the expanding list of translation-associated proteins which when mutated cause rare genetic diseases.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".