In
this figure extracted from the research study, staining of proteins highlights
various cell type markers: neurons overall (cyan), and cells specifically
involved with neurotransmitters dopamine (yellow) and acetylcholine (magenta).
Credit: Chung Lab/MIT Picower Institute
A
new technology developed at MIT enables scientists to label proteins across
millions of individual cells in fully intact 3D tissues with unprecedented
speed, uniformity, and versatility. Using the technology, the team was able to
richly label whole rodent brains and other large tissue samples in a single
day.
In their new study in Nature Biotechnology, they also
demonstrate that the ability to label proteins with antibodies at the
single-cell level across whole brains can reveal insights left hidden by other
widely used labeling methods.
Profiling the proteins that cells are
making is a staple of studies in biology, neuroscience and related fields
because the proteins a cell is expressing at a given moment can reflect the
functions the cell is trying to perform or its response to its circumstances,
such as disease or treatment.
As much as microscopy and labeling
technologies have advanced, enabling innumerable discoveries, scientists have
still lacked a reliable and practical way of tracking protein expression at the
level of millions of densely packed individual cells in whole, 3D intact tissues such as an entire
mouse brain or a full region of a human brain.
Often confined to thin tissue sections
under slides, scientists therefore haven't had tools to thoroughly appreciate
cellular protein expression in the whole, connected systems in which it occurs.
"Conventionally, investigating the
molecules within cells requires dissociating tissue into single cells or
slicing it into thin sections, as light and chemicals required for analysis
cannot penetrate deep into tissues," said study senior author Kwanghun
Chung, associate professor in The Picower Institute for Learning and Memory,
the Departments of Chemical Engineering and Brain and Cognitive Sciences, and
the Institute for Medical Engineering and Science at MIT.
"Our lab developed technologies
such as CLARITY and SHIELD, which enable investigation of whole organs by
rendering them transparent, but we now needed a way to chemically label whole
organs to gain useful scientific insights."
"Imagine marinating a thick steak
by simply dipping it in sauce. The outer layers absorb the marinade quickly and
intensely, while the inner layers remain largely untouched unless the meat is
soaked for an extended period. The same principle applies to chemical
processing of tissues: if cells within a tissue are not uniformly processed,
they cannot be quantitatively compared.
"The challenge is even greater for protein labeling, as the chemicals we use for labeling are hundreds of times larger than those in marinades. As a result, it can take weeks for these molecules to diffuse into intact organs, making uniform chemical processing of organ-scale tissues virtually impossible and extremely slow."
A mouse brain hemisphere stained with various
cell type markers: neurons overall (cyan), and cells specifically involved with
neurotransmitters dopamine (yellow) and acetylcholine (magenta). Credit: Chung
Lab/MIT Picower Institute
The new approach, called
"CuRVE," represents a major advance—years in the making—toward that
goal by demonstrating a fundamentally new approach to uniformly processing
large and dense tissues whole.
In the study, the researchers
explain how they overcame the technical barriers via an implementation of CuRVE
called "eFLASH," and provide copious vivid demonstrations of the
technology, including how it yielded new neuroscience insights.
"This is a significant leap,
especially in terms of the actual performance of the technology," said
co-lead author Dae Hee Yun, a former MIT graduate student and now a senior
application engineer at LifeCanvas Technologies, a startup company Chung
founded to disseminate the tools his lab invents.
The paper's other lead author is Young-Gyun Park, a former MIT postdoctoral researcher now an assistant professor at KAIST in South Korea.
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