X‐chromosome inactivation (XCI) patterns in placental tissues of a paternally derived bal t(X;20) case
Bibliographic record
Abstract
Non-random X-chromosome inactivation (XCI) is often seen in female carriers of balanced X-autosome translocations and is generally attributed to a selective growth of cells that inactivate the normal X chromosome. However, little is known concerning when in development the selection acts, and thus whether skewed XCI would also be seen in placental tissues. Furthermore, as males with X-autosome translocations are normally infertile, all translocations studied to date for XCI-skewing have been either maternal or de novo in origin. We now present an analysis of XCI status in cord blood, umbilical cord and four different extraembryonic tissues from a female carrier of a paternally derived balanced (X;20) translocation. Using methylation based assays to determine XCI status, we found preferential inactivation of the non-translocated X in cord blood, umbilical cord and amnion samples of the propositus. Remarkably, random XCI was evident in several placental tissues analyzed (chorion, and chorionic villi trophoblast and mesenchyme). While these findings support the hypothesis of strong selection against cells with an inactive translocated X-chromosome in most embryonic/fetal tissues, they also suggest weaker selective forces taking place during placental development. Additionally, the finding of normal placental development in the present case, rules out the possibility of a parental bias to XCI in human extraembryonic tissues as a requisite for normal development. The finding of hypomethylation in extraembryonic tissues for two out of three markers used in the study is consistent with previous findings demonstrating low levels of methylation in these tissues.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 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".