Extracellular interaction between Neurotrophic factor‐α1 and HTR1E serotonin receptor promotes cell survival
Bibliographic record
Abstract
Neurotrophic factor α1 (NFα1), classically known as carboxypeptidase E (CPE) has a non‐enzymatic role in the survival of neurons and cancer cells via binding to a putative receptor. We have identified 5‐Hydroxy tryptamine receptor 1E (HTR1E), a serotonin receptor with unknown function, as a binding partner that interacts with NFα1/CPE extracellularly to mediate cell survival. Co‐immunoprecipitation using a human LN18 cells and pull‐down assay with NFα1/CPE and HTR1E expressed in HEK293 cells confirmed interaction of these two molecules. 125 I NFα1/CPE binding studies demonstrated saturable, high affinity binding to HTR1E. Molecular docking studies revealed the surface interaction between NFa1/CPE and HTR1E via 3 salt bridges, further stabilized by hydrogen bonding. We also found that HTR1E was able to activate ERK/CREB signaling upon treatment with NFα1/CPE. Pretreatment of HTR1E stable cells with NFα1/CPE followed by H 2 O 2 ‐induced oxidative stress prevented a decrease in pro‐survival protein BCL2 and reduced cytotoxicity. SiRNA knock‐down of HTR1E in U118 glioblastoma cells resulted in significant inhibition of these cancer cells survival. Immunocytochemical analysis of human hippocampus indicated co‐expression of HTR1E with NFα1/CPE in CA1‐3 and dentate gyrus, and cellular co‐localization at the cell membrane in CA3 neurons. This study has uncovered a novel role for HTR1E as a binding partner for NFα1/CPE, and their interaction activates the ERK‐CREB‐BCL2 pathway to promote cell survival. Support or Funding Information Division of intramural research, NICHD, NIH, Bethesda, MD, USA
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 | 0.000 | 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".