A novel role for Friend of GATA1 (FOG-1) in regulating cholesterol transport in murine erythropoiesis
Bibliographic record
Abstract
Friend of GATA1 (FOG-1) is an essential transcriptional co-factor of the master erythroid transcription factor GATA1. The knockout of the Zfpm1 gene, coding for FOG-1, results in early embryonic lethality due to anemia in mice, similar to the embryonic lethal phenotype of the Gata1 gene knockout. However, a detailed molecular analysis of the Zfpm1 knockout phenotype in erythropoiesis is presently incomplete. To this end, we used CRISPR/Cas9 to knockout Zfpm1 in mouse erythroleukemic (MEL) cells. Phenotypic characterization of DMSO-induced terminal erythroid differentiation showed that the Zfpm1 knockout MEL cells did not progress past the proerythroblast stage of differentiation. Expression profiling of the Zfpm1 knockout MEL cells by RNAseq showed a lack of up-regulation of erythroid-related gene expression profiles. Bioinformatic analysis highlighted cholesterol transport as a pathway affected in the Zfpm1 knockout cells. Moreover, we show that the cholesterol transporters Abca1 and Ldlr fail to be repressed during erythroid differentiation in Zfpm1 knockout cells, resulting in higher intracellular lipid levels and higher membrane fluidity. We also show that in FOG-1 knockout cells, the nuclear levels of SREBP2, a key transcriptional regulator of cholesterol biosynthesis and transport, are markedly increased. On the basis of these findings we propose that FOG-1 (and, potentially, GATA1) regulate cholesterol homeostasis during erythroid differentiation directly through the down regulation of cholesterol transport genes and indirectly, through the repression of the SREBP2 transcriptional activator of cholesterol homeostasis. Taken together, our work provides a molecular basis for understanding FOG-1 functions in erythropoiesis and reveals a novel role for FOG-1 in cholesterol transport.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".