Identification of LncRNAs/mRNAs related to endometrium function regulated by Homeobox A10 in Ishikawa cells
Bibliographic record
Abstract
As a well-known transcription factor, Homeobox A10 (HOXA10) regulates a large number of downstream target genes, leading to the proper function development of endometrium for embryo implantation. The change of HOXA10 gene expression level can alter the expressions of many other genes, including coding and noncoding transcripts. In our study, mRNA and LncRNA expression profiles screening was performed by microarray when the HOXA10 gene expression level increased in Ishikawa cells. A total of 907 mRNAs and 1,026 LncRNAs were identified as differentially expressed transcripts (Fold Change ≥2, P-value <0.05, and Q-value <0.05) between HOXA10 overexpressed and control Ishikawa cells. Further analysis identified that these mRNAs participated in various biological processes, such as blood vessel development, cell adhesion, cell cycle, etc. Also, 14 enhancer-like LncRNAs and 108 LincRNAs with their nearby mRNAs were identified as coregulated transcripts. Our results showed that the mRNA and LncRNA expression profiles differed significantly between the two groups and provided useful information for further studying the molecular mechanisms of HOXA10 in endometrium.
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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) | 0.000 | 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) | 0.001 | 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".