How to Navigate the Catalog by Mechanism: From Receptors to Bioenergetics

Research-Only: Informational guidance for experimental planning.

Start by defining the primary readout—endocrine (GH pulse metrics), structural (migration/ECM), metabolic (incretin signaling, AMPK), or bioenergetic (mitochondrial potential, ROS, ATP). For endocrine models, long-acting GHRH analogs alter GH/IGF-1 kinetics with preserved pulsatility (PMID: 17018654). For recovery and matrix studies, cytoskeletal and angiogenic markers respond to peptides that modulate FAK/paxillin and eNOS (PMC: PMC8275860).

In metabolic investigations, GLP-1R agonism raises cAMP to drive PKA/Epac and context-specific outcomes in beta cells and CNS nuclei (PMID: 17306374; PMC: PMC10691799). For mitochondrial longevity, MOTS-c engages AMPK and SS-31 stabilizes cardiolipin to support oxidative phosphorylation; NAD+ level management interfaces with sirtuin deacetylation (PMID: 25738459; PMC: PMC7334473; PMC: PMC6206880).

Map peptides to targets, align assays to endpoints, and document conditions to enhance reproducibility. Browse the full catalog.

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Methodological Notes. To contextualize mechanistic observations, laboratories typically
report experimental temperature, buffer composition, biological replicates, and blinding/randomization
practices for image analysis and Western quantification. Where possible, orthogonal corroboration is
included: for example, receptor pharmacology by radioligand binding or BRET assays combined with
downstream second messengers; structural endpoints by both live-cell imaging and fixed immunostaining;
and bioenergetics readouts by oxygen consumption/ECAR coupled to targeted metabolomics. These practices
increase reproducibility and allow meaningful comparison across peptide classes and batches in research-only
settings (PMC: PMC7350483).

Statistics & Reporting. Typical analyses include power calculations, pre-registered endpoints,
and multiple-comparisons adjustments for families of tests. Effect-size reporting (Cohen’s d or Hedges’ g),
confidence intervals, and transparent outlier policies enable precise interpretation of receptor- or
mitochondria-targeted peptide experiments. Collectively, these design elements improve the signal-to-noise
ratio in bench studies and inform subsequent assay selection. Browse the full catalog.