Yi Chen1, Jia Guo1. 1. Biodesign Institute & School of Molecular Sciences, Arizona State University, Tempe, Arizona 85287, United States.
Abstract
The ability to profile a large number of different proteins in individual cells in their native cellular locations is critical to accelerate our understanding of normal cell physiology and disease pathogenesis. Bulk cell protein quantification masks the cell heterogeneity in complex biological systems, while conventional immunofluorescence or immunohistochemistry are limited by their low multiplexing capacity. Recent technological advances in multiplexed protein imaging approaches allow many distinct proteins to be analyzed in single cells in situ. These methods will bring new insights into various biological and biomedical fields, such as cell type and subtype classification, signaling network regulation, tissue architecture, and disease diagnosis and prognosis, along with treatment monitoring. In this Review, we will describe the recent advances of multiplexed single-cell in situ protein profiling technologies, discuss their unique advantages and limitations, highlight their applications in biology and medicine, present the current challenges, and propose potential solutions.
The ability to profile a large number of different proteins in individual cells in their native cellular locations is critical to accelerate our understanding of normal cell physiology and disease pathogenesis. Bulk cell protein quantification masks the cell heterogeneity in complex biological systems, while conventional immunofluorescence or immunohistochemistry are limited by their low multiplexing capacity. Recent technological advances in multiplexed protein imaging approaches allow many distinct proteins to be analyzed in single cells in situ. These methods will bring new insights into various biological and biomedical fields, such as cell type and subtype classification, signaling network regulation, tissue architecture, and disease diagnosis and prognosis, along with treatment monitoring. In this Review, we will describe the recent advances of multiplexed single-cell in situ protein profiling technologies, discuss their unique advantages and limitations, highlight their applications in biology and medicine, present the current challenges, and propose potential solutions.
The composition of molecularly
and functionally different cells
is a common feature of most of the biological systems.[1] Such cell heterogeneity exists not only in multicellular
tissues but also in genetically identical bacterial and yeast cells.[2] Heterogenous cells are also observed in various
biological processes, such as cancer metastasis,[3] tumor response to treatment,[4−6] stem cell differentiation,[7] immune response,[8] etc.
Cell heterogeneity can be attributed to many factors, including distinct
genetics or epigenetics, varied microenvironments, and stochastic
gene expression, among others. The variations among the single cells
in a biological system may play important roles in the function, health
and survival of the entire system. Nevertheless, many experiments
are carried out using groups of cells, which can obscure the important
cell differences in the system. Thus, the single-cell assays are critically
needed to advance our understanding of biology and medicine.Each individual cell is composed of a huge collection of different
biomolecules, which are involved in various signaling pathways. To
understand how these complex signaling networks function in normal
cells and malfunction in diseases, comprehensive molecular profiling
is required.[9] Among all the biomolecules,
proteins are crucial to many cell functions and processes, including
biochemical reaction catalysis, gene expression regulation, biomolecule
transport, and cellular structure support, etc. Thus, the development
of single-cell comprehensive protein profiling technologies is critical
to accelerate our understanding of health and disease.The well-defined
locations of biomolecules in a cell and cells
in a tissue are crucial for effective biomolecule-to-biomolecule or
cell-to-cell interactions, which can determine the organization, function
and regulation of the biological systems.[10] For example, neurons develop and maintain their highly polarized
structures by tightly regulating the synthesis and transportation
of the different RNAs and proteins at their distinctive compartments,
such as cell bodies, dendrites, axons, and synapses. And to have effective
signal transmission in neural circuits, the locations of presynaptic
and postsynaptic neurons in the brain tissue are also precisely regulated.
In addition, it has been demonstrated that chromosomes are hierarchically
organized into various compartments composed of different topologically
associating domains to form 3D genome architecture;[11] disease-related genes can mislocate in cancer cells;[12] and the locations of stem cells in specialized
niches can determine their fates.[13] Thus,
to better understand the architecture, regulation, and interactions
in these complex biological systems, there remains substantial need
to develop single-cell in situ comprehensive protein profiling technologies.Because of the low abundances of the proteins in single cells and
the inability to amply those proteins, extremely sensitive methods
are required for single-cell protein profiling.[14] Fluorescence microscopy has high detection sensitivity
and, thus are widely applied for analyzing proteins in individual
cells. Nonetheless, the spectral overlap of the common fluorophores
limits the multiplexing capacity of these imaging based approaches.[15] Conventional protein microarray[16] and mass spectrometry[17] allows
comprehensive protein analysis. However, as these methods require
proteins in a sample to be isolated and purified from other cellular
components, the location information on the protein targets is lost.
To address these limitations and enable single-cell in situ comprehensive
protein profiling, novel methods with high sensitivity and multiplexing
capacity are critically needed.Here, we review the recent advances
in the development of single-cell
in situ proteomic technologies, including mass spectrometry imaging,
reiterative immunofluorescence with fluorescent antibodies, and reiterative
immunofluorescence with signal amplification. These imaging-based
approaches allow multiplexed protein profiling in individual cells
at the subcellular resolution. Readers are referred to other articles[9,10,18−21] concerning alternative single
cell proteomic or spatial proteomic technologies. We will introduce
their advantages and limitations, and highlight their applications
to explore cell signaling networks, classify the distinct cell types,
and investigate cell–cell interactions in their microenvironment.
The broad impact of these techniques on understanding, diagnosis,
prognosis, and treatment of various diseases will also be discussed.
In the end, we will describe the current challenges of these technologies
and propose potential solutions.
Mass Spectrometry
Imaging
To enable multiplexed single-cell in situ protein
profiling, ion
beam imaging[22] and imaging mass cytometry[23] have been developed. In these approaches (Figure ), the different
protein targets are recognized by the corresponding antibodies conjugated
with varied metal isotopes. Then, ion or laser beams are applied to
convert the specimen pixel-to-pixel into streams of particles. The
metal isotopes in the particles are detected by a mass spectrometer
to decipher their compositions and abundances. Subsequently, the collected
mass data of individual pixels is translated into protein expression
levels by computer software. As all the protein targets are stained
simultaneously with antibodies labeled with distinct metal isotopes,
these methods minimize the epitope decay during the assay and also
facilitate image registration. Additionally, by selecting the metal
isotopes that do not exist in the specimen, these approaches avoid
the false positive signals generated by endogenous biomolecules. However,
since the specimen is analyzed pixel-to-pixel, it takes these methods
∼8 h to image 1 mm2 sample.[22,23] As a result, the current ion beam imaging and imaging mass cytometry
have low sample throughput and long assay time. Another challenge
is the instrument availability, as the expensive high-resolution imaging
mass spectrometers are rare in clinical setting and academic institutions,
which can hinder their broad applications.
Figure 1
Mass spectrometry imaging.
After incubation with metal isotope
labeled antibodies, the specimen is transferred pixel-by-pixel into
a mass spectrometer by an ion or laser beam. Then, the protein abundances
are calculated by computer software using the mass data of the identified
metal isotopes.
Mass spectrometry imaging.
After incubation with metal isotope
labeled antibodies, the specimen is transferred pixel-by-pixel into
a mass spectrometer by an ion or laser beam. Then, the protein abundances
are calculated by computer software using the mass data of the identified
metal isotopes.
Reiterative Immunofluorescence
with Fluorescent
Antibodies
To allow high-throughput in situ proteomic profiling
with commonly
available instruments, reiterative immunofluorescence approaches with
fluorescent antibodies have been explored. Each analysis cycle of
these methods is composed of three major steps. First, the protein
targets in the specimen are recognized with antibodies labeled with
different fluorophores. Then, fluorescence images are captured under
a microscope to quantify the targets in their native spatial contexts.
Finally, the staining signals are erased to initiate the next analysis
cycle. Through cycles of target staining, fluorescence imaging, and
signal removal, a large number of different proteins can be profiled
at the optical resolution in situ. For instance, with M reiterative cycles and N proteins quantified in
every cycle, a total of M × N proteins can be analyzed in the sample. Instead of examining the
specimen pixel-to-pixel in mass spectrometry imaging, reiterative
immunofluorescence can image millions of pixels simultaneously within
milliseconds to seconds. As a result, reiterative immunofluorescence
allows a large specimen or 3D tissue to be profiled in a relatively
short time. Additionally, as a standard fluorescence microscope is
the only instrument required, reiterative immunofluorescence can be
easily adopted by various academic and clinical laboratories.Two critical requirements exist for the success of the reiterative
immunofluorescence approaches. First, the staining signals have to
be efficiently removed at the end of each analysis cycle, so that
the minimum signal leftovers will not interfere with the accurate
protein quantification in the following cycles. Second, the signal
removal process should not damage the integrity of the epitopes or
the morphology of specimen. In this way, other protein targets can
be precisely profiled in the later cycles. To fulfill these requirements,
different approaches have been explored. In this section, we will
discuss the recent technological advances of these reiterative immunofluorescence
technologies.
Chemical/Photo-Bleaching and Antibody Stripping
In 2006, Schubert et al. have applied photobleaching[24] to eliminate the staining signals generated
in each cycle of reiterative immunofluorescence (Figure A). With this method, multiplexed
in situ protein profiling has been successfully achieved in cells
and tissues. However, since the varied fluorophores have to be bleached
individually and the different imaging areas have to bleached sequentially,
this method suffers from limited sample throughput. To allow all the
fluorescence signals in the whole specimen to be removed simultaneously,
chemical bleaching (Figure A) and antibody stripping (Figure B) methods have been developed. In chemical
bleaching,[25,26] H2O2 in
basic or acidic is used to deactivate the fluorophores. And in antibody
stripping,[27,28] high or low pH solutions containing
sodium dodecyl sulfate is applied to elute the antibodies by breaking
the antibody–antigen interactions. Although it has been demonstrated
that the staining signals can be efficiently erased by these approaches
within 1 h, the repeated harsh chemical treatments can lead to epitope
damage and specimen degradation.[28,29] Consequently,
these methods have the limited number of analysis cycles and the accuracy
of protein quantification in the later cycles can be compromised.
Figure 2
Approaches
used in reiterative immunofluorescence to erase fluorescence
signals. (A) Staining signals are removed by chemical- or photo-bleaching.
(B) Fluorescent antibodies are stripped from their protein targets.
(C) DNA strand displacement reactions remove the fluorescent oligonucleotides
hybridized to oligonucleotide labeled antibodies. (D) Nucleases are
applied to degrade the fluorescent oligonucleotides conjugated to
antibodies. (E) In Co-detection by indexing (CODEX), the proteins
are stained by incorporation of the fluorescent nucleotides into the
primers hybridized to oligonucleotide labeled antibodies. Subsequently,
the fluorescence signals are erased by chemical cleavage. (F) Fluorophores
conjugated to antibodies through a cleavable linker are removed by
chemical reactions.
Approaches
used in reiterative immunofluorescence to erase fluorescence
signals. (A) Staining signals are removed by chemical- or photo-bleaching.
(B) Fluorescent antibodies are stripped from their protein targets.
(C) DNA strand displacement reactions remove the fluorescent oligonucleotides
hybridized to oligonucleotide labeled antibodies. (D) Nucleases are
applied to degrade the fluorescent oligonucleotides conjugated to
antibodies. (E) In Co-detection by indexing (CODEX), the proteins
are stained by incorporation of the fluorescent nucleotides into the
primers hybridized to oligonucleotide labeled antibodies. Subsequently,
the fluorescence signals are erased by chemical cleavage. (F) Fluorophores
conjugated to antibodies through a cleavable linker are removed by
chemical reactions.
Mild
Signal Removal Methods
To effectively
erase the staining signals without damaging the integrity of epitopes,
oligonucleotide conjugated antibodies have been explored to recognize
the protein targets. These oligonucleotides can recruit complementary
fluorescent oligonucleotides or function as templates to incorporate
fluorescent nucleotides to stain the proteins. After image capture,
the fluorescent oligonucleotides can be removed by DNA strand displacement
reactions[30] (Figure C) or degraded by nuclease[31] (Figure D). Or a mild chemical reaction[32] can
be applied to cleave the fluorophores attached to the bases of the
incorporated nucleotides (Figure E). Although these mild signal removal methods maintain
the epitope integrity, some nonideal factors still exist. For example,
the large sizes and the negative charges of the oligonucleotides could
potentially interfere with the binding specificity and affinity of
the conjugated antibodies. Moreover, the varied oligonucleotides on
different antibodies could potentially mishybridize to each other
or to endogenous nucleic acids, to generate false positive signals.
And to minimize such cross-hybridization, the number of the varied
oligonucleotides that can be applied and corresponding multiplexing
capacity of the assay are also limited.To avoid the issues
caused by oligonucleotides conjugated antibodies, cleavable fluorescent
antibodies (Figure F) have been developed.[33] Instead of using
bulky and negatively charged oligonucleotide to tether the fluorophores
to antibodies, this approach applies a neutral and small molecule
linker to attach the fluorophores and antibodies. Following target
recognition and fluorescence imaging, the fluorophores are efficiently
cleaved using tris(2-carboxyethyl)phosphine (TCEP) to reduce the azide
in the cleavage function group −OCH(N3)–.
With this mild and biorthogonal cleavage reaction, it has been demonstrated
that the epitope integrity is maintained after this chemical reaction.
And as the small molecule linker is neural and has much smaller size
than oligonucleotides, the interference from the conjugation on the
binding specificity and affinity of the antibodies could be reduced.
Finally, by avoiding the nonspecific binding between the conjugated
antibodies and also between the antibodies and endogenous biomolecules,
cleavable fluorescent antibodies enable accurate in situ proteomic
analysis.
Reiterative Immunofluorescence
with Signal Amplification
In the reiterative immunofluorescence
approaches discussed above,
only a couple of metal isotopes or fluorophores are conjugated to
each antibody molecule. Without any signal amplifications, these methods
suffer from low detection sensitivity. As a result, their applications
to profile proteins with low abundances are hindered. Additionally,
their analysis accuracy is compromised when examining the specimen
with high autofluorescence, such as formalin-fixed paraffin-embedded
(FFPE) tissues,[34] which are the most commonly
archived clinical tissues.[35] Moreover,
the weak sensitivity of these approaches also leads to the long imaging
exposure time and thus the low sample throughput. To tackle these
issues, several reiterative immunofluorescence with signal amplification
approaches have been developed recently. In this section, we will
present the technological advances of these methods.
Cleavable
Fluorescent Streptavidin
To enable highly sensitive and multiplexed
in situ protein profiling,
a layer-by-layer signal amplification method with cleavable biotin
conjugated antibodies and cleavable fluorescent streptavidin has been
explored.[36] In this approach (Figure ), antibodies labeled
with cleavable biotin are first applied to recognize the proteins
of interest. Subsequently, cleavable fluorescent streptavidin and
cleavable biotin conjugated orthogonal antibodies are applied repeatedly,
to amply the staining signals layer-by-layer until the preferred signal
intensities are obtained. After imaging, the fluorophores and the
unbound biotins are cleaved by a mild chemical reaction. Following
streptavidin blocking with free biotin, the next analysis cycle is
initiated. Through reiterative cycles of target recognition, signal
amplification, fluorescence imaging, fluorophore and biotin removal,
and streptavidin blocking, a large number of proteins can be sensitively
detected in single cells in situ. It has been demonstrated that this
approach enhances the protein detection sensitivity by at least 1
order of magnitude. Additionally, almost all the reiterative immunofluorescence
approaches require the prior knowledge of the relative expression
levels of the protein targets, so that proteins can be quantified
from low to high abundances. This prior knowledge requirement is eliminated
by the cleavable fluorescent streptavidin method, as the staining
signals for different proteins can be amplified until the desired
intensities are generated. In this way, the staining intensities in
the latter cycles are always higher than those in the previous cycles.
Nonetheless, the layer-by-layer signal amplification process in this
approach can be time-consuming. And the protein detection sensitivity
of this technology needs to be further improved.
Figure 3
Highly sensitive and
multiplexed in situ protein profiling with
cleavable fluorescent streptavidin. In every cycle, the proteins of
interest are first recognized by antibodies conjugated with cleavable
biotin, and subsequently stained with cleavable fluorescent streptavidin.
Then, the staining signals are amplified by the repeated incubation
with cleavable biotin conjugated orthogonal antibodies and cleavable
fluorescent streptavidin. Once the desired signal intensities are
obtained, all the fluorophores and the unbound biotins are cleaved
by a mild chemical reaction. After blocking the leftover streptavidin
with biotin, the next cycle is initiated. Reproduced with permission
under a Creative Commons CC-BY license from ref (36).
Highly sensitive and
multiplexed in situ protein profiling with
cleavable fluorescent streptavidin. In every cycle, the proteins of
interest are first recognized by antibodies conjugated with cleavable
biotin, and subsequently stained with cleavable fluorescent streptavidin.
Then, the staining signals are amplified by the repeated incubation
with cleavable biotin conjugated orthogonal antibodies and cleavable
fluorescent streptavidin. Once the desired signal intensities are
obtained, all the fluorophores and the unbound biotins are cleaved
by a mild chemical reaction. After blocking the leftover streptavidin
with biotin, the next cycle is initiated. Reproduced with permission
under a Creative Commons CC-BY license from ref (36).
Immuno-SABER and CosMx
Recently,
two alternative sensitive in situ proteomics methods named immunostaining
with amplification by exchange reaction (Immuno-SABER)[37] and CosMx[38] were
explored. In both methods (Figure ), protein targets are recognized by antibodies conjugated
with oligonucleotides, which subsequently recruit the DNA concatemers
generated by primer exchange reaction or photocleavable oligonucleotides.
By sequentially applying multiple DNA concatemers or photocleavable
oligonucleotides, the number of binding sites for fluorescent oligonucleotides
is significantly increased. Following signal amplification, target
staining and image capture, the fluorescence signals are erased by
oligonucleotides dehybridization with hot formamide solutions, or
by photocleavage. With repeated cycles of target staining and signal
removal, highly sensitive and multiplexed in situ protein profiling
can be achieved. However, similar to the other methods using oligonucleotides
conjugated antibodies, these approaches could potentially suffer from
the potential cross-hybridization between the oligonucleotide probes
and endogenous nucleic acids. Additionally, to prepare oligonucleotides
conjugated antibodies while maintaining their binding specificity
and affinity can be technically demanding.
Figure 4
(A) Immunostaining with
signal amplification by exchange reaction
(Immuno-SABER). The protein targets are recognized by oligonucleotides
conjugated antibodies. Subsequently, DNA concatemers and a large number
of fluorescent oligonucleotides are recruited to stain the targets
by hybridization. With reiterative cycles of dehybridization and hybridization
of the fluorescent oligonucleotide probes, the different protein targets
can be quantified in situ with high sensitivity. (B) Immunostaining
with signal amplification in CosMx. After the protein targets are
recognized by oligonucleotides conjugated antibodies, photocleavable
and fluorescent oligonucleotides are sequentially recruited to stain
the targets by forming a large branched DNA structure. With repeated
cycles of photocleavage and hybridization of the branched DNA, the
varied protein targets can be sensitively quantified by a color barcode
in single cells.
(A) Immunostaining with
signal amplification by exchange reaction
(Immuno-SABER). The protein targets are recognized by oligonucleotides
conjugated antibodies. Subsequently, DNA concatemers and a large number
of fluorescent oligonucleotides are recruited to stain the targets
by hybridization. With reiterative cycles of dehybridization and hybridization
of the fluorescent oligonucleotide probes, the different protein targets
can be quantified in situ with high sensitivity. (B) Immunostaining
with signal amplification in CosMx. After the protein targets are
recognized by oligonucleotides conjugated antibodies, photocleavable
and fluorescent oligonucleotides are sequentially recruited to stain
the targets by forming a large branched DNA structure. With repeated
cycles of photocleavage and hybridization of the branched DNA, the
varied protein targets can be sensitively quantified by a color barcode
in single cells.
Cleavable
Fluorescent Tyramide
To
enable highly sensitive and multiplexed protein in situ analysis,
an approach using cleavable fluorescent tyramide has also been developed.[39−41] In this method (Figure ), antibodies conjugated with horseradish peroxidase (HRP)
are applied to stain the protein targets. HRP can enzymatically catalyze
the coupling reaction between cleavable fluorescent tyramide and the
tyrosine moieties on the antibodies or the endogenous proteins close
to the targets. Through this enzymatic reaction, one HRP molecule
will deposit hundreds of fluorophores in close proximity to the protein
targets. After imaging, mild reducing reagents, such as TCEP, are
applied to cleave the azide based linker to remove the fluorophores
from tyramide and simultaneously deactivate HRP. With reiterative
cycles of target staining, fluorescence imaging, fluorophore removal,
and HRP deactivation, a large number of varied proteins can be sensitively
detected in single cells in situ. With a ∼10 min enzymatic
reaction, this approach increases the detection sensitivity by 2 orders
of magnitude. And as a large collection of HRP conjugated antibodies
are commercially available, the time-consuming, technically demanding
and expensive antibody conjugation step is avoided. Thus, this approach
can be easily adopted by different research laboratories and in clinical
settings. However, as HRP has to be deactivated for each protein,
the current cleavable fluorescent tyramide approach can only profile
one protein in each analysis cycle.
Figure 5
Highly sensitive and multiplexed in situ
protein analysis with
cleavable fluorescent tyramide. In each cycle, the protein targets
are stained with horseradish peroxidase (HRP) conjugated antibodies
and cleavable fluorescent tyramide. Following image capture, the fluorophores
are cleaved and the HRP is deactivated simultaneously by a mild chemical
reaction. Through repeated cycles of target staining, imaging, fluorophore
removal, and HRP quenching, a large number of varied proteins can
be profiled in situ with high sensitivity.
Highly sensitive and multiplexed in situ
protein analysis with
cleavable fluorescent tyramide. In each cycle, the protein targets
are stained with horseradish peroxidase (HRP) conjugated antibodies
and cleavable fluorescent tyramide. Following image capture, the fluorophores
are cleaved and the HRP is deactivated simultaneously by a mild chemical
reaction. Through repeated cycles of target staining, imaging, fluorophore
removal, and HRP quenching, a large number of varied proteins can
be profiled in situ with high sensitivity.
Biological and Biomedical Applications
Single-cell
in situ proteomic technologies are powerful tools to
interrogate intracellular signaling networks. To explore protein inhibitory
and activating interactions using populations of cells, protein expression
variations have to be generated by interfering RNA, small molecules,
knockdown or knockout models, etc. With stochastic protein expression
naturally occurring in individual cells,[42] single-cell analysis eliminates the requirements of those external
stimuli. By quantifying a large number of varied proteins in single
cells (Figure A),
expression correlation analysis between each pair of the profiled
proteins (Figure B)
can be performed to explore the protein signaling networks (Figure C). Using this approach,
the signaling pathways in cancer cells have been studied by reiterative
immunofluorescence.[33]
Figure 6
(A) By multiplexed in
situ protein profiling, the abundances of
various proteins in individual cells of a biological system are obtained.
(B) With the single-cell protein expression profiles, the pairwise
protein expression correlation analysis can be carried out. (C) Generated
protein expression correlation coefficients can be applied to establish
the protein signaling networks. (D) On the basis of their unique protein
expression patterns, individual cells can be partitioned into distinct
subgroups. (E) By mapping the cells back to their original locations
in the tissue, different cell neighborhoods composed of cells from
specific subgroups can be identified.
(A) By multiplexed in
situ protein profiling, the abundances of
various proteins in individual cells of a biological system are obtained.
(B) With the single-cell protein expression profiles, the pairwise
protein expression correlation analysis can be carried out. (C) Generated
protein expression correlation coefficients can be applied to establish
the protein signaling networks. (D) On the basis of their unique protein
expression patterns, individual cells can be partitioned into distinct
subgroups. (E) By mapping the cells back to their original locations
in the tissue, different cell neighborhoods composed of cells from
specific subgroups can be identified.Another exciting application of single-cell in situ proteomic technologies
is to investigate cell heterogeneity in complex biological systems.
By comprehensive protein profiling in individual cells of a heterogeneous
cell population (Figure A), those single cells can be classified into different subtypes
based on their protein expression patterns (Figure D). By mapping these identified cell subtypes
back to their native locations in the tissue, distinct cell neighborhoods
consisting of varied cell subtypes can be determined (Figure E). Applying this method, mass
spectrometry imaging[22,23] and reiterative immunofluorescence[25−27,39] have been used to understand
the cell subtype compositions, cell–cell interactions, and
3D architectures of tumor and brain tissues.In addition to
studying brain functions and molecular mechanisms
of cancer, in situ proteomic technologies can be applied in many other
biological and biomedical fields. For example, individual immune cells
before and after the immune response can be profiled using these methods.
By comparing the immune cells catalogue under the different conditions,
we can investigate how the immune systems respond and evolve after
antigen activation. Also, in situ proteomic technologies can be applied
to monitor the embryo development at various stages, to investigate
the molecular mechanisms of stem cell differentiation and organ formation.
Moreover, by comparing the normal and diseased tissues, the altered
protein expression profiles, cell subtypes or cell neighborhoods can
be identified as new biomarkers. Applying these single-cell proteomic
technologies, we can also advance our understanding of the regulatory
network within individual cells and the communication among cells
in their microenvironment. As a result, the disease mechanisms can
be better understood and novel drug targets can be discovered. Furthermore,
these technologies also enable the monitoring of the drug effects
and immune responses during treatments. With the accurate therapy
monitoring, the appropriate treatment can be selected and adjusted
timely.
Challenges and Future Directions
While
remarkable advances have been made in the recently developed
in situ proteomic technologies, the current versions of these approaches
still suffer from low multiplexing capacity. These methods can only
profile dozens of varied proteins, which represents a small fraction
of the entire proteome. To better understand the complex signaling
networks and more precisely classify the cell subtypes, the number
of proteins that can be quantified in each sample need to be increased.
This challenge could be partially tackled by combining the in situ
proteomic technologies with other systems biology approaches, such
as genomics,[43] transcriptomics,[44] proteomics,[16,17] and metabolomics,[45] among others. For example, a biological sample
can be first profiled using these systems biology assays to select
the most informative proteins for cell subtype differentiation and
signaling pathways identification. Then, such selected proteins can
be quantified in an adjacent tissue section by in situ proteomics
technologies. Alternatively, the specimen can be first examined by
multiplexed in situ protein profiling. Once the specific cell subtypes
or regions of interest are selected, they can be isolated by microfluidics
or microdissection[46] and further analyzed
by the “omics” assays.Other challenges for single-cell
in situ proteomics involve image
data analysis. To accurately quantify the protein expression levels
in single cells of a specimen, the boundaries of each cell must be
defined. Most of the current assays use the stained nuclei and membrane
proteins to identify the presence of cells and their boundaries, respectively.[47] Nevertheless, the nuclei in certain cells are
missing in the typical tissues with the thickness of less than 10
μm. Additionally, the selected membrane proteins may have different
cellular locations in varied cell subtypes or in diseased tissues.
To mitigate the cell segmentation errors caused these factors, all
the stained proteins should be included in the algorithms to identify
the cellular boundaries. Moreover, almost all the in situ proteomic
technologies apply only the protein abundances information to classify
the varied cell subtypes. To understand cell heterogeneity in more
details, new algorithms should be developed by integrating protein
expression levels, their cellular locations together with protein
colocation information.
Conclusions
With
the recent technological development, single-cell in situ
proteomic technologies are emerging as powerful tools to bring new
insights into many important biological and biomedical fields. Each
approach discussed in this Review has its unique advantages. For example,
mass spectrometry imaging allows all the antibodies to be applied
simultaneously, to minimize the epitope decay during the analysis.
Reiterative immunofluorescence with fluorescent antibodies enables
the profiling of a large tissue in a short time using a standard fluorescence
microscope. And with signal amplification integrated into reiterative
immunofluorescence, low expression proteins in highly autofluorescent
samples can be precisely quantified. In addition, the advantages of
these complementary approaches could be combined by applying them
sequentially on the same specimen. For instance, the integration of
reiterative immunofluorescence with fluorescent antibodies and with
signal amplification will allow proteins with a wide range of abundances
to be accurately quantified in the same sample. And this specimen
can be subsequently analyzed by mass spectrometry imaging to further
increase the number of proteins profiled in each cell.Comprehensive
in situ protein profiling technologies hold great
promise to unlock many mysteries in biology and medicine. By revealing
the gene expression regulation, spatial organization and interactions
of the various cell types in complex organisms, such as developing
embryos, brain tissues, and solid tumors, we can significantly advance
our understanding of normal physiology and disease mechanisms. By
pinpointing the altered protein abundances and locations in diseased
cells, new biomarkers can be discovered for more precise diagnosis,
prognosis and patient stratification, and novel drug targets could
be identified for more effective cellular targeted therapy. We envision
that single-cell in situ proteomic technologies will broadly complement
other systems biology approaches and will have wide applications in
biomedical research and precision medicine.
Authors: John W Hickey; Elizabeth K Neumann; Andrea J Radtke; Jeannie M Camarillo; Rebecca T Beuschel; Alexandre Albanese; Elizabeth McDonough; Julia Hatler; Anne E Wiblin; Jeremy Fisher; Josh Croteau; Eliza C Small; Anup Sood; Richard M Caprioli; R Michael Angelo; Garry P Nolan; Kwanghun Chung; Stephen M Hewitt; Ronald N Germain; Jeffrey M Spraggins; Emma Lundberg; Michael P Snyder; Neil L Kelleher; Sinem K Saka Journal: Nat Methods Date: 2021-11-22 Impact factor: 47.990
Authors: Michael J Gerdes; Christopher J Sevinsky; Anup Sood; Sudeshna Adak; Musodiq O Bello; Alexander Bordwell; Ali Can; Alex Corwin; Sean Dinn; Robert J Filkins; Denise Hollman; Vidya Kamath; Sireesha Kaanumalle; Kevin Kenny; Melinda Larsen; Michael Lazare; Qing Li; Christina Lowes; Colin C McCulloch; Elizabeth McDonough; Michael C Montalto; Zhengyu Pang; Jens Rittscher; Alberto Santamaria-Pang; Brion D Sarachan; Maximilian L Seel; Antti Seppo; Kashan Shaikh; Yunxia Sui; Jingyu Zhang; Fiona Ginty Journal: Proc Natl Acad Sci U S A Date: 2013-07-01 Impact factor: 11.205
Authors: Renjie Liao; Manas Mondal; Christopher D Nazaroff; Diego Mastroeni; Paul D Coleman; Joshua Labaer; Jia Guo Journal: Front Cell Dev Biol Date: 2021-01-08
Authors: Yury Goltsev; Nikolay Samusik; Julia Kennedy-Darling; Salil Bhate; Matthew Hale; Gustavo Vazquez; Sarah Black; Garry P Nolan Journal: Cell Date: 2018-08-02 Impact factor: 41.582