Synonym |
Amyloid beta Protein (42-1) |
Species |
Human |
Protein Accession |
P05067 |
Purity |
Greater than 95% by SDS-PAGE |
Endotoxin Level |
Less than 1 EU/ug |
Biological Activity |
Not determined |
Expression System |
Escherichia coli |
Fusion Tag |
No tag |
Predicted Molecular Mass |
4.5 kDa |
Formulation |
Lyophilized from a 0.2 μm filtered solution in PBS |
Reconstitution |
Reconstitute with sterile water to a concentration of 1 mg/ml |
Storage & Stability |
Store lyophilized product at -20°C. Reconstituted product is stable for up to one week at 4°C.
For long term storage, store at -20°C |
FAQ
What is Amyloid β-Protein (42-1) and how does it differ from other amyloid proteins?
Amyloid
β-Protein (42-1) is a specific sequence of the Amyloid beta peptide that is notable for its reverse
sequence orientation when compared to the common Amyloid β-Peptide (1-42). This altered orientation is
particularly interesting in scientific research as it offers unique insights into the biophysical and
biochemical properties of amyloid proteins and their role in neurodegenerative diseases, most notably
Alzheimer’s Disease. Amyloid proteins are known for their propensity to form fibrillar aggregates, which
are often implicated in the pathology of these neurodegenerative conditions. The traditional sequence,
Amyloid β-Peptide (1-42), is typically a focus due to its role in forming insoluble fibrils and plaques
in the brain, which are hallmark features of Alzheimer's.
Unlike its traditional counterpart,
Amyloid β-Protein (42-1) offers a mirror-image perspective of the aggregation process, which can provide
valuable information about the intrinsic factors that influence oligomerization and fibrillization. The
reversed sequence is employed in various research applications to study how changes in peptide
orientation affect folding and aggregation, offering a novel method to potentially disrupt or study
these processes. Researchers are particularly interested in using Amyloid β-Protein (42-1) to
investigate therapeutic interventions that target abnormal protein folding and aggregation pathways.
This reverse sequence peptide could contribute to a better understanding of amyloid pathology and the
development of novel therapeutic strategies. Its study is crucial for understanding the toxic properties
of amyloids and possibly uncovering new intervention points that differ from those addressed by
targeting the naturally occurring Amyloid β-Peptide (1-42).
In this reverse sequence, every
amino acid in Amyloid β-Protein (42-1) is arranged in a manner that provides researchers with the
opportunity to decipher the sequence conservation and the critical regions necessary for filament
growth. Given the unique nature of this protein sequence, ongoing research strives to elucidate its
exact role and utility, potentially revealing innovative insights into combating amyloid-associated
diseases.
How is Amyloid β-Protein (42-1) used in research, particularly in Alzheimer's Disease
studies?
Amyloid β-Protein (42-1) serves an important role in research as it provides a unique
perspective into the dynamics of amyloid aggregation and its physical properties. Alzheimer's Disease
research largely focuses on the aggregation of the traditional Amyloid β-Peptide (1-42) due to its
formation of plaques in the brain, a major clinical hallmark of the disease. The reverse-sequence
peptide, Amyloid β-Protein (42-1), is used as a tool to explore the mechanisms of peptide aggregation
and the structural transformations that occur during this process. This can include examining the
pathways that lead to oligomerization and fibril formation or prevention, a topic of paramount
importance in Alzheimer's research.
Researchers utilize Amyloid β-Protein (42-1) for studying how
physical or chemical modifications to the peptide sequence can affect the overall folding and
aggregation tendencies. This is particularly critical for understanding the fundamental aspects of
amyloid fibril growth and exploring new therapeutic targets. By studying this reversed sequence,
researchers can track the effects of various drugs or molecules to see if they impact the aggregation
pathways, thus providing potential therapeutic strategies that wouldn't be otherwise evident by studying
the native sequence alone.
Additionally, the unique orientation of Amyloid β-Protein (42-1) can
be used in designing assays that help screen potential drug candidates targeting amyloid plaque
formation. This sequence can act as a control or complementary component in these assays, offering a
fresh perspective or creating an artificial system to study misfolding in a controlled environment.
Moreover, in computational studies, this reversed sequence can serve as a critical test subject to
validate the effect of simulated modifications on amyloid aggregation, potentially leading to improved
predictive models.
The versatility of Amyloid β-Protein (42-1) as a research model allows for a
nuanced exploration of Alzheimer's Disease, going beyond the direct effects of the common amyloid
aggregates and into broader questions of protein chemistry and biophysics. This can ultimately lead to a
more robust understanding of how therapeutic interventions can be structured to effectively alter
disease progression.
What are the potential therapeutic implications of research involving
Amyloid β-Protein (42-1)?
The study of Amyloid β-Protein (42-1) bears significant potential for
advancing therapeutic strategies against neurodegenerative diseases, such as Alzheimer’s Disease, by
offering new insights into amyloid aggregation processes and providing alternative methods for
intervention. As researchers deepen their understanding of the distinctive properties exhibited by this
reverse-sequence peptide, several therapeutic implications arise that could transform treatment
approaches.
First and foremost, by leveraging Amyloid β-Protein (42-1) in research, scientists
can identify key differences in protein stability, folding, and binding interfaces that might not be
apparent when only examining the native sequence. This can lead to the discovery of novel interaction
sites that could be targeted by small molecules or therapeutic antibodies, ultimately preventing the
pathological aggregation of amyloids in the brain. This kind of targeted approach might yield therapies
capable of preserving cognitive function or slowing disease progression in affected
individuals.
The reversed sequence also provides an exceptional opportunity to develop molecule
inhibitors that specifically counteract amyloid aggregation. Since these inhibitors could ostensibly
work on both the traditional and reversed sequences, understanding how they interact with Amyloid
β-Protein (42-1) could provide dual insights, enhancing their stability, efficacy, and binding affinity.
This could be particularly valuable in optimizing therapeutic candidates that exert influence over
misfolded protein terrains.
Moreover, the unique properties of Amyloid β-Protein (42-1) lend
themselves to applications such as vaccination strategies. Potential vaccines developed against amyloid
aggregates could be improved by using peptide sequences like Amyloid β-Protein (42-1) to prompt an
immune response that accurately targets pathological deposits without harming regular brain function.
Such strategies may offer preventive solutions by training the body to recognize and neutralize
early-stage misfolded amyloids.
In diagnostics, studying the effects of various conditions on
Amyloid β-Protein (42-1) aggregation dynamics might reveal biomarkers indicative of early disease
states. The reverse sequence can be employed in biosensor technology to detect amyloid presence or
progression, offering reliable early diagnostics that could prove critical in neurodegenerative disease
management where early intervention is key to maintaining quality of life.
Ultimately, the
inverted orientation of Amyloid β-Protein (42-1) opens an innovative frontier in therapeutic research by
shifting the paradigm on which scientific investigation of amyloids is based. It affords not only a
deeper comprehension of amyloidogenicity but also spurs the development of multifaceted treatment
avenues capable of addressing fundamental disease pathways in novel and promising ways.
How do
scientists ensure the effective application of Amyloid β-Protein (42-1) in experimental
settings?
In utilizing Amyloid β-Protein (42-1) within experimental settings, scientists employ a
methodical and systematic approach to ensure the validity and reproducibility of their studies. The
first critical step involves the synthesis of high-purity peptides. Advanced peptide synthesis
techniques, such as solid-phase peptide synthesis (SPPS), allow researchers to custom design the reverse
sequence peptide with precision, ensuring that it mirrors the intended structure and physical properties
necessary for accurate experimental analysis.
Once the peptide is synthesized, scientists conduct
rigorous characterization using techniques such as mass spectrometry or high-performance liquid
chromatography (HPLC) to confirm the purity and structural integrity of Amyloid β-Protein (42-1). This
verification is essential to avoid confounding results due to impurities or incorrect sequencing that
might inadvertently influence the aggregation propensity of the peptide.
In experimental
protocols, scientists frequently employ biophysical techniques to study the self-assembly process of
Amyloid β-Protein (42-1). Techniques such as nuclear magnetic resonance (NMR) spectroscopy,
Fourier-transform infrared spectroscopy (FTIR), and circular dichroism (CD) spectroscopy are employed to
monitor secondary structure formation and aggregation behavior. These methods provide researchers with
detailed insight into the physical alterations that occur as the peptide transitions from monomeric
forms to larger aggregates or fibrils.
Furthermore, to examine the therapeutic potential or
biological implications, Amyloid β-Protein (42-1) may be introduced into cellular or animal models.
Before proceeding, scientists administer cytotoxicity assays to ascertain the safety levels and to
ensure that the peptide does not elicit unintended harmful effects on cellular dynamics. Fluorescence
assays and electron microscopy may also be used to visualize amyloid aggregation and fibril morphology
directly within biological systems.
Additionally, researchers meticulously design control
experiments to validate their findings. For instance, comparing the aggregation behavior of Amyloid
β-Protein (42-1) under different experimental conditions, such as variations in pH, ionic strength, or
presence of binding partners, helps corroborate the robustness of results and infers the conditions
under which aggregation is facilitated or hindered.
Computationally, molecular dynamics
simulations can complement experimental data by predicting the kinetic and thermodynamic parameters
associated with the reversed sequence's folding and assembly processes. These simulations can inform
hypothesis-driven experiments, providing a synchronous integration of theoretical and empirical data
that enhances the understanding of amyloid dynamics.
Overall, the effective application of
Amyloid β-Protein (42-1) in research requires a multilayered strategy that emphasizes precise synthesis,
comprehensive characterization, methodical application in biological contexts, and the continuous
corroboration of findings through controlled experimental designs. By maintaining such rigor, scientists
ensure that their investigations yield meaningful insights into amyloid-related disorders and
therapeutic advancement, making valuable contributions to the field.
What challenges do
researchers face when studying Amyloid β-Protein (42-1), and how might they overcome these
challenges?
Researching Amyloid β-Protein (42-1) presents several formidable challenges due to
intrinsic properties of amyloid aggregation and the complex dynamics involved in reversing peptide
sequences. Overcoming these challenges necessitates innovative approaches and strategic methodologies
that refine understanding and experimental outputs.
One major challenge is intrinsic to peptide
solubility and stability. Amyloid peptides, including Amyloid β-Protein (42-1), are prone to aggregation
and can rapidly transition into insoluble forms, complicating experimental analysis. To manage this,
researchers employ buffer solutions with controlled pH and ionic strength to stabilize peptides and
prevent premature aggregation. Furthermore, using chemical chaperones or solubilizing agents can improve
peptide solubility. Advanced purification techniques, such as size-exclusion chromatography, help
isolate monomers from aggregated forms prior to experimentation.
Accurately mimicking
physiological conditions in vitro poses another challenge. Amyloid β-Protein (42-1) is often studied
outside the cellular environment, which may not fully replicate the complex milieu of biological
systems. To mitigate this, researchers use microfluidics or surface-modified platforms that mimic the
cellular membrane environment, providing a more biologically relevant setting for peptide interaction
studies.
Another significant hurdle involves the structural characterization of highly dynamic,
and often transient, amyloid aggregates. Since amyloid assemblies represent a continuum of dynamic
states, capturing these states requires techniques that can resolve low-populated or short-lived
structures. Researchers increasingly utilize cryo-electron microscopy (cryo-EM) and advanced NMR
techniques, which offer higher resolution imaging to visualize these complex mixtures, facilitating a
more comprehensive understanding of the aggregation landscape.
Variability in amyloidogenicity
due to minor sequence alterations presents complexities that demand robust experimental standardization
and replication across studies. To address this, laboratories might employ a large dataset approach,
subjecting Amyloid β-Protein (42-1) to a spectrum of conditions, allowing for variability measurement
and better understanding statistical significance. Collaborative efforts sharing standardized protocols
and comparative analyses across different labs further ensure the robustness and reproducibility of
data.
Computational limitations in simulating large amyloid aggregates are also notable, as they
require significant processing power and advanced algorithms to model realistically. Researchers
navigate this obstacle by improving algorithm efficiencies and leveraging high-performance computing
resources. Future developments in machine learning algorithms and artificial intelligence can also
enhance predictive models, offering deeper insights into molecular behavior.
In addressing these
challenges, interdisciplinary collaboration becomes pivotal. By integrating expertise from fields like
biochemistry, biophysics, computational science, and engineering, researchers can employ a holistic
approach, unlocking deeper insights and advancing the field's collective knowledge. Consequently, while
challenges in studying Amyloid β-Protein (42-1) are substantial, innovative solutions and strategic
planning are paving the way for significant breakthroughs in the understanding and potential treatment
of amyloid-associated diseases.