The KLF Family of Transcriptional Regulators in Cardiomyocyte Proliferation and Differentiation
Bibliographic record
Abstract
Unlike other organs, the adult heart has limited regenerative potential owing to the inability of postnatal cardiomyocytes to undergo proliferative growth. As a result, ischemic heart disease continues to be a major cause of morbidity and mortality worldwide. Elucidating the molecular pathways of cardiomyocyte differentiation and proliferation holds great promise for human health. In a recent paper we employed a multidisciplinary approach to identify a novel pathway required for cardiomyocyte growth and differentiation. Starting with the dissection of a new regulatory sequence required for cardiac specific expression, we identified the cognate DNA binding protein as KLF13, a tissue-restricted member of the newly identified KLF family of zinc-finger proteins. We took advantage of the ease in manipulating Xenopus embryos to genetically alter KLF13 levels thus demonstrating a requirement for KLF13 in cardiac progenitor cell proliferation and heart morphogenesis. Furthermore, we combined biochemical approaches with genetic manipulations in Xenopus to show that KLF13 is a GATA4 interacting protein and a genetic modifier of GATA4 function. Cyclin D1 was identified as a direct transcriptional target for KLF13 that may account for the proliferation defects observed in embryos with downregulated KLF13 levels. Thus, tissue-specific regulators of the cell cycle may be potential congenital heart disease causing genes in humans.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.003 |
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".