TAMRA-β-Amyloid (1-42), human integrates a TAMRA fluorophore with the full amyloid peptide to visualize aggregation pathways. The fluorophore enables real-time monitoring of oligomerization and structural transitions. Researchers use it to analyze peptide-membrane interactions and fibrillation kinetics. Its design supports advanced fluorescence-based assays.
CAT No: PI-005
TAMRA-β-Amyloid (1-42), human is a synthetic peptide conjugate that merges the biologically significant β-amyloid (1-42) sequence with the fluorescent dye tetramethylrhodamine (TAMRA). As a labeled form of the human β-amyloid (Aβ) peptide, it is widely recognized as an essential research tool for investigating amyloid aggregation, neurodegenerative disease mechanisms, and protein-misfolding phenomena. The TAMRA label provides a robust fluorescent signal, enabling real-time visualization and quantification of peptide behavior in a range of experimental systems. This dual-functional reagent is particularly valuable in studies of Alzheimer's disease pathology, where the aggregation and neurotoxicity of Aβ peptides play a central role.
Aggregation studies: The TAMRA-labeled β-amyloid (1-42) peptide is extensively utilized to monitor and characterize the aggregation process of amyloid fibrils in vitro. The fluorescent tag enables direct observation of oligomerization and fibril formation kinetics using fluorescence-based assays, such as fluorescence resonance energy transfer (FRET), fluorescence correlation spectroscopy, or confocal microscopy. Researchers can track the nucleation, elongation, and maturation phases of aggregation, gaining insight into the molecular mechanisms underlying amyloid assembly and the factors that modulate this process.
Cellular uptake and trafficking assays: The fluorescent properties of the TAMRA-conjugated peptide make it an ideal probe for examining the cellular internalization, distribution, and trafficking of β-amyloid in cultured cells or tissue models. By applying live-cell imaging or flow cytometry, investigators can quantify uptake efficiency, visualize subcellular localization, and assess the impact of genetic or pharmacological interventions on peptide handling. These studies are critical for elucidating the cellular pathways involved in amyloid toxicity and clearance.
Protein-protein interaction analysis: The labeled peptide serves as a sensitive reporter in studies aimed at identifying and characterizing interactions between β-amyloid and other biomolecules, such as chaperones, membrane receptors, or small-molecule modulators. Techniques like fluorescence anisotropy, fluorescence polarization, or co-immunoprecipitation can exploit the TAMRA signal to detect binding events, map interaction domains, and determine binding affinities. Such investigations support the discovery of new molecular targets and the development of therapeutic strategies aimed at modulating amyloid-related pathways.
Screening of aggregation modulators: The robust fluorescence of TAMRA-β-amyloid (1-42) enables high-throughput screening of compound libraries for agents that influence amyloid aggregation dynamics. By incorporating the peptide into automated fluorescence assays, researchers can rapidly assess the efficacy of potential inhibitors or promoters of fibril formation. This approach accelerates the identification of candidate molecules for further mechanistic or preclinical evaluation and supports drug discovery initiatives targeting neurodegenerative disorders.
Quantitative imaging and localization: The strong and stable fluorescence signal provided by the TAMRA moiety facilitates quantitative imaging of amyloid deposition and distribution in complex biological samples, including brain tissue sections, organotypic cultures, or three-dimensional cell models. Advanced microscopy techniques can leverage the labeled peptide to map amyloid localization with high spatial resolution, enabling detailed analysis of plaque morphology, co-localization with cellular markers, and the spatial relationship between amyloid species and pathological hallmarks. This application is instrumental in advancing the understanding of amyloid pathology and its progression in neurodegenerative disease models.
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