Behavior Proteomics

Overview

Behavior proteomics is the application of proteomic analysis to the study of behavior, seeking to connect patterns of protein expression and modification to the neural and physiological processes that underlie how organisms act and respond to their environment. The approach treats behavior as an emergent output of molecular states, then uses protein-level measurements, often from brain regions or whole-tissue samples, to identify the proteins whose abundance, post-translational modification, or interactions track with particular behavioral conditions, learning, stress, or disease. Methodologically it relies on the standard proteomics toolkit: protein separation, mass spectrometry-based discovery and quantification, and quantitative labeling strategies such as metabolic labeling that allow rigorous comparison between experimental and control states. By mapping these protein signatures, researchers aim to clarify the biochemical mechanisms that regulate behavior and to understand how disruptions in protein networks contribute to disorders that alter behavior and cognition. Findings can inform the search for molecular targets relevant to neurological and psychiatric conditions. As a quantitative discipline, behavior proteomics depends on reproducible measurement, careful experimental design, and validation, and it sits within the broader effort to relate the proteome, the full complement of expressed proteins, to complex whole-organism phenotypes.

Research published in this journal

11 peer-reviewed articles, ranked by relevance. Each links to its DOI.

How this research is being cited

The 11 articles above have been cited 41 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.

• Peripheral biomarkers of neuroinflammation in Alzheimer’s disease and vascular dementia
  2026 · Biochemical Pharmacology
• Association of peripheral blood NLRP3, sTREM2, and p-tau217 levels with cognitive outcomes in patients with chronic alcohol-related brain damage
  2026 · Alcohol and Alcoholism
• BDDN: bayesian dynamic differential network analysis in cancer proteomics
  2026 · BMC Bioinformatics
• Chronic alcohol consumption induces phenotypic and functional alterations consistent with a hyper-inflammatory state in peripheral blood mononuclear cell-derived microglia in a rhesus macaque model
  Hami Hemati et al. · 2025 · Brain, behavior, and immunity
• Chronic alcohol consumption induces phenotypic and functional alterations consistent with a hyper-inflammatory state in peripheral blood mononuclear cell-derived microglia in a rhesus macaque model
  2025 · Brain Behavior and Immunity
• Characterization of Expression and Function of the Formins FHOD1, INF2, and DAAM1 in HER2-Positive Breast Cancer
  2023 · Journal of Breast Cancer
• The alveolar macrophage toponome of female SP-A knockout mice differs from that of males before and after SP-A1 rescue
  2022 · Scientific Reports
• The ultrastructural heterogeneity of lung surfactant revealed by serial section electron tomography: insights into the 3-D architecture of human tubular myelin
  2022 · American Journal of Physiology-Lung Cellular and Molecular Physiology

A sample of recent works citing this journal's research on Behavior Proteomics, linking to each citing work.

This page summarises published research for orientation; it is not medical or professional advice.

Related topics