Differential HDAC1 and 2 Recruitment by Members of the MIER Family
Bibliographic record
Abstract
The mier family consists of three related genes encoding ELM2-SANT containing proteins. MIER1 has been well characterized and is known to function in transcriptional repression through its ability to recruit HDAC1 and 2. Little is known about MIER2 or MIER3 function and no study characterizing these two proteins has been published. In this report, we investigate MIER2 and MIER3 localization and function. Confocal analysis revealed that, while MIER2 and MIER3 are mainly nuclear proteins, a substantial proportion (32%) of MIER2 is localized in the cytoplasm. Co-immunoprecipitation experiments demonstrated that the MIER proteins do not dimerize; that MIER2, but not MIER3, can recruit HDACs; and that recruitment is cell line-dependent. MIER2 was associated with HDAC1 and HDAC2 in HEK293 cells, but only with HDAC1 in MCF7 and HeLa cells. Little or no MIER3 co-immunoprecipitated with either HDAC1 or 2 in any of the three cell lines tested. By contrast, HDAC1 and 2 were readily detected in MIER1α complexes in all three cell lines. Histone deacetylase assays confirmed that MIER2, but not MIER3 complexes, have associated deacetylase activity, leading to the conclusion that MIER3 does not function in HDAC recruitment in these cell lines. In contrast to what has been reported for other ELM2-SANT associated HDACs, addition of D-myo-inositol-1,4,5,6-tetrakisphosphate led to only a small increase in MIER1α associated deacetylase activity and no effect on that associated with MIER2. Deletion analysis revealed that HDAC recruitment occurs through the ELM2 domain. Finally, using site-directed mutagenesis, we show that, like MIER1, 228W in the ELM2 domain is a critical residue for HDAC recruitment by MIER2.
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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".