Neurodegeneration refers to the progressive loss of neuron structure and function that leads to eventual cell death. It is a key feature of neurodegenerative diseases such as Alzheimer's and Parkinson's disease.
The complexity of neural tissue and its location has made researching and developing therapies for neurodegenerative diseases difficult. However, advances in cell models and imaging have now greatly simplified its study.
Download this infographic to:
- Explore the latest advances in modeling neurodegeneration
- Learn how to get the most out of your cell models
- Discover how artificial intelligence is streamlining live cell analysis
Emerging Technologies in
Research
In vitro models that accurately mimic a biologically
healthy/diseased state are key to capturing the
complexities of neurodegenerative diseases.
Neuroscience has traditionally depended on primary
neurons and neuron-like cell lines, but these approaches
do not fully represent the human brain, limiting their
translational value.
Patient-derived stem cells and more advanced 3D in vitro
models can mimic the brain more closely.
A summary of some of the advanced cell models currently
being employed in neurodegenerative disease research is
outlined below.
Modeling
NEURODEGENERATION
Advances in
IMAGING AND ANALYSIS
Label-free analysis
Various cell biology techniques are used to
study neurodegeneration in vitro including flow
cytometry and high-content imaging.
The preparation and labeling required in
traditional cell biology techniques can
cause significant disruption to the cellular
environment, a limitation that is overcome with
the emergence of label-free technologies.
These technologies have been applied to
applications including the study of protein
misfolding and aggregation that play a
central role in the pathogenesis of various
neurodegenerative diseases such as
Huntington’s disease.
Benefits of label-free analysis
The ligand can retain its native
conformation and biological activity. Labelfree analysis therefore provides more
physiologically relevant insights.
Avoiding labeling agents eliminates the risk
of unwanted background signals that can
occur when labels bind non-specifically.
Label-free technology enables real-time
interaction analysis that is not possible
using conventional methods that provide
only end-point results. These include
kinetic and affinity analysis and evaluation
of binding specificity.
Live cell imaging
Traditional, endpoint cell-based experiments such as flow
cytometry often fail to track subtle yet critical changes
in cell behavior over time. Real-time, live-cell analysis
can overcome this and enable the capture of biological
changes as they occur by repeatedly acquiring images of
the same cells over long periods.
Live cell imaging is useful when investigating live neuron
dynamics, as imaging fixed samples does not cover the
dynamic events that occur during the development and
regeneration of the nervous system.
Organs-on-chips
Organ-on-a-chip systems contain engineered or
natural miniature tissues grown inside microfluidic
chips. They are designed to offer precise
spatiotemporal control over cell microenvironments
and can recreate organ-level structure as well as
provide relevant mechanical cues.
Researchers have developed an organ-on-a-chip system
that replicates interactions between the brain, liver, and
colon. They modeled gut microbe influences on healthy
brain tissue and PD patients’ tissue samples, finding that
short-chain fatty acids produced by microbes can further
exacerbate certain pathologies related to PD.
Human iPSCs
Human induced pluripotent stem cells (iPSCs)
are a promising cell type for developing more
reliable neurological in vitro models. iPSCs
can be derived directly from adult tissue and
reprogrammed to differentiate into various cell
types including human neurons. As humanderived iPSCs possess the donor's genetic
information, they provide access to patientspecific models and as such a more accurate
way to evaluate individual responses to
treatments.
Researchers recently developed a model
that rapidly converts iPSCs to brain cells
characteristic of Parkinson’s disease (PD) to
create personalized stem cell models, providing
novel opportunities to test treatments.
Organoids
Organoids are 3D cultures containing several
types of self-organizing cells that perform,
as a minimum, one function of the organ
they are mimicking. 3D brain organoids can
be generated from iPSCs and are useful for
studying the pathogenic characteristics of
neurodegenerative illnesses. To improve these
models structurally and functionally, recent
efforts have aimed to combine organoids to
produce larger assembloids.
Researchers have described the construction
of human blood-brain barrier (BBB)
assembloids from brain and blood vessel
organoids derived from human pluripotent
stem cells.
Neuroimaging techniques such as magnetic resonance
imaging (MRI) and positron emission tomography (PET)
allow for non-invasive visualization of the brain's structure
and function. Recent advances in these technologies, such
as the development of ultra-high-resolution MRI scanners,
have transformed the ability to study the anatomical,
microstructural and physiological changes occurring during
neurodegeneration in the brain in vivo.
Neurodegeneration refers
to the progressive loss
of neuron structure and
function that leads to
eventual cell death.
It is a key feature of neurodegenerative diseases
such as Alzheimer's and Parkinson's disease.
The complexity of neural tissue and its location
has made researching and developing therapies
for neurodegenerative diseases difficult.
However, advances in cell models and imaging
have now greatly simplified its study.
Somatic cells
iPSC
Embryo
Embryonic
stem cells
iPSCs
Floating
spheroid
Floating
spheroid
Cancer cells Somatic
stem cells
3D culture
Media pump 2
Media pump 1
Cell media
type 1
Cell media
type 2
Transepithelial electrical
resistance sensor
Cell layer
Incubator
Microscope
Soluble
metabolite
Metabolism
Cell organoid
Extracellular
matrix
Organoid culture
Tumor or
cancer tissue
Healthy tissue
Human
Differentiation
Neuron Cardiomyocyte Hematopoietic
stem cell
Reprogramming
+
Reprogramming
agents
Culture conditions are changed
to stimulate cells to differentiate
into different cell types
The next big challenge in neurodegeneration is
likely to involve the management and analysis
of the large datasets generated from analysis
which can include months and even years' worth
of data. Here, artificial intelligence could help,
taking the strain off researchers to help process
vast, complex datasets to reveal new insights
into neuroscience and disease.
Sponsored by
GETTING THE MOST OUT OF CELL MODELS
STREAMLINING DATA ANALYSIS
VISUALIZING THE BRAIN IN VIVO
Illustration of the process for reprogramming somatic cells to
iPSCs and subsequent differentiation.
Schematic representation of the protocol for organoid generation
A model organ-on-a-chip system. This system studies two cell substrates – a cell layer and an organoid.