Endoplasmic Reticulum d-myo-Inositol 1,4,5-Trisphosphate-sensitive Stores Regulate Nuclear Factor-κB Binding Activity in a Calcium-independent Manner
Bibliographic record
Abstract
The transcription factor nuclear factor-kappaB (NF-kappaB) plays critical roles in neuronal survival and plasticity and in activation of immune responses. The activation of NF-kappaB has been closely associated with changes in intracellular calcium levels, but the relationship between the two remains unclear. Here we report that inhibition of endoplasmic reticulum (ER) d-myo-inositol 1,4,5-trisphosphate (IP(3))-gated calcium release caused decreased basal NF-kappaB DNA-binding activity in cultured rat cortical neurons. Activation of NF-kappaB in response to tumor necrosis factor-alpha and glutamate was completely abolished when IP(3) receptors were blocked, and NF-kappaB activation in response to depletion of ER calcium by thapsigargin treatment was also decreased by IP(3) receptor blockade. We further investigated the relationship between IP(3) receptor activation and NF-kappaB activity using a cell-free system. Microsomes enriched in the ER were isolated from adult rat cerebral cortex, resuspended, and treated with agents that induce or inhibit ER calcium release. They were then recentrifuged, and the supernatant was added to cytoplasmic extract isolated from the same source tissue. We found that microsomes released an NF-kappaB-stimulating signal in response to activation of IP(3) receptors or inhibition of the ER Ca(2+)-ATPase, but not in response to ryanodine. Studies of intact cells and cell-free preparations indicated that the signal released from the ER was not calcium and was heat- and trypsin-sensitive. Our data suggest that activation of IP(3) receptors is required for a major component of both constitutive and inducible NF-kappaB binding activity in neurons and that decreasing ER intraluminal calcium levels triggers release of a diffusible NF-kappaB-activating signal from the ER.
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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 | 0.001 |
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".