Receptors for peptide hormones, neuropeptides and neurotransmitters
Bibliographic record
Abstract
Peptide hormones, neuropeptides, neurotransmitters and other non-steroid chemical messengers regulate cellular and biochemical activity by binding to receptors located in the plasma membranes of their target cells. These chemical messengers are generally polar and water soluble and so cannot readily enter their target cells to influence the cell nucleus in the manner described for steroid and thyroid hormones (Chapter 9). In order to induce biochemical changes within the target cell, they act as first messengers to activate a second messenger, such as cAMP, within the cytoplasm of the target cell. The transduction of information from the first to the second messenger is accomplished through the activation of membrane protein transducers (G proteins) and enzymes, such as adenylate cyclase. This chapter discusses membrane receptors for peptide hormones and neurotransmitters, the mechanisms by which signal transduction across the cell membrane occurs, the role of G proteins and receptor tyrosine kinases in this signal transduction, the second messenger systems activated, and the actions of the second messengers in the target cells, with special emphasis on neural target cells. Some of this material was introduced in Chapter 5 and we will refer to relevant figures where appropriate . Membrane receptors Membrane receptors are complex proteins embedded in the cell membrane. The function of these receptors is to recognize specific ligands in the blood (e.g. peptide hormones, neuropeptides) or in the synapse (e.g. neurotransmitters) and bind to them. Once this binding occurs, signal transduction across the cell membrane occurs as described in section 10.2 below. As noted in the description of steroid hormone receptors, modern techniques of immunohistochemistry (using antibodies to receptor proteins) and in situ hybridization (allowing visualization of peptide mRNA) permit the ready localization of membrane receptors in any tissue of interest. Gene cloning and sequencing techniques enabled molecular biologists to develop three-dimensional models of many membrane receptors. There are three distinct types of membrane receptor: (1) ligand-gated ion channel receptors; (2) guanine nucleotide binding protein (G-protein-) coupled receptors; and (3) transmembrane-regulated tyrosine kinases.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.087 | 0.060 |
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".