scholarly journals Single-cell proteomic and transcriptomic analysis of macrophage heterogeneity

2019 ◽  
Author(s):  
Harrison Specht ◽  
Edward Emmott ◽  
Aleksandra A. Petelski ◽  
R. Gray Huffman ◽  
David H. Perlman ◽  
...  
Keyword(s):  
Single Cell ◽  
Single Cell Analysis ◽  
Single Cells ◽  
Single Cell Protein ◽  
Cellular Heterogeneity ◽  
Cell Protein ◽  
Alternatively Activated Macrophages ◽  
Monocytes And Macrophages ◽  
Molecular Phenotypes ◽  
Post Transcriptional Regulation

AbstractMacrophages are innate immune cells with diverse functional and molecular phenotypes. This diversity is largely unexplored at the level of single-cell proteomes because of limitations of quantitative single-cell protein analysis. To overcome this limitation, we developed SCoPE2, which substantially increases quantitative accuracy and throughput while lowering cost and hands-on time by introducing automated and miniaturized sample preparation. These advances enable us to analyze the emergence of cellular heterogeneity as homogeneous monocytes differentiate into macrophage-like cells in the absence of polarizing cytokines. SCoPE2 quantified over 3,042 proteins in 1,490 single monocytes and macrophages in ten days of instrument time, and the quantified proteins allow us to discern single cells by cell type. Furthermore, the data uncover a continuous gradient of proteome states for the macrophages, suggesting that macrophage heterogeneity may emerge in the absence of polarizing cytokines. This gradient correlates to the inflammatory axis of classically and alternatively activated macrophages. Parallel measurements of transcripts by 10x Genomics suggest that our measurements sample 20-fold more protein copies than RNA copies per gene, and thus SCoPE2 supports quantification with improved count statistics. The joint distributions of proteins and transcripts allowed exploring regulatory interactions, such as between the tumor suppressor p53, its transcript, and the transcripts of genes regulated by p53. Our methodology lays the foundation for quantitative single-cell analysis of proteins by mass-spectrometry and demonstrates the potential for inferring transcriptional and post-transcriptional regulation from variability across single cells.Abstract Figure

scholarly journals Single-cell proteomic and transcriptomic analysis of macrophage heterogeneity using SCoPE2

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Harrison Specht ◽  
Edward Emmott ◽  
Aleksandra A. Petelski ◽  
R. Gray Huffman ◽  
David H. Perlman ◽  
...  
Keyword(s):  
Single Cell ◽  
Single Cell Analysis ◽  
Single Cells ◽  
Single Cell Protein ◽  
Cellular Heterogeneity ◽  
Cell Protein ◽  
Alternatively Activated Macrophages ◽  
Monocytes And Macrophages ◽  
Molecular Phenotypes ◽  
Post Transcriptional Regulation

Abstract Background Macrophages are innate immune cells with diverse functional and molecular phenotypes. This diversity is largely unexplored at the level of single-cell proteomes because of the limitations of quantitative single-cell protein analysis. Results To overcome this limitation, we develop SCoPE2, which substantially increases quantitative accuracy and throughput while lowering cost and hands-on time by introducing automated and miniaturized sample preparation. These advances enable us to analyze the emergence of cellular heterogeneity as homogeneous monocytes differentiate into macrophage-like cells in the absence of polarizing cytokines. SCoPE2 quantifies over 3042 proteins in 1490 single monocytes and macrophages in 10 days of instrument time, and the quantified proteins allow us to discern single cells by cell type. Furthermore, the data uncover a continuous gradient of proteome states for the macrophages, suggesting that macrophage heterogeneity may emerge in the absence of polarizing cytokines. Parallel measurements of transcripts by 10× Genomics suggest that our measurements sample 20-fold more protein copies than RNA copies per gene, and thus, SCoPE2 supports quantification with improved count statistics. This allowed exploring regulatory interactions, such as interactions between the tumor suppressor p53, its transcript, and the transcripts of genes regulated by p53. Conclusions Even in a homogeneous environment, macrophage proteomes are heterogeneous. This heterogeneity correlates to the inflammatory axis of classically and alternatively activated macrophages. Our methodology lays the foundation for automated and quantitative single-cell analysis of proteins by mass spectrometry and demonstrates the potential for inferring transcriptional and post-transcriptional regulation from variability across single cells.

scholarly journals Combined mRNA and protein single cell analysis in a dynamic cellular system using SPARC

2019 ◽  
Author(s):  
Johan Reimegård ◽  
Marcus Danielsson ◽  
Marcel Tarbier ◽  
Jens Schuster ◽  
Sathishkumar Baskaran ◽  
...  
Keyword(s):  
Protein Expression ◽  
Mrna Expression ◽  
Single Cell ◽  
Single Cell Analysis ◽  
Single Cells ◽  
Embryonic Stem ◽  
Single Cell Protein ◽  
Cell Protein ◽  
Depth Analysis ◽  
Mrna And Protein Expression

ABSTRACTCombined measurements of mRNA and protein expression in single cells enables in-depth analysis of cellular states. We present single-cell protein and RNA co-profiling (SPARC), an approach to simultaneously measure global mRNA and large sets of intracellular protein in individual cells. Using SPARC, we show that mRNA expression fails to accurately reflect protein abundance at the time of measurement in human embryonic stem cells, although the direction of changes of mRNA and protein expression are in agreement during cellular differentiation. Moreover, protein levels of transcription factors better predict their downstream effects than do the corresponding transcripts. We further show that changes of the balance between protein and mRNA expression levels can be applied to infer expression kinetic trajectories, revealing future states of individual cells. Finally, we highlight that mRNA expression may be more varied among cells than levels of the corresponding proteins. Overall, our results demonstrate that mRNA and protein measurements in single cells provide different and complementary information regarding cell states. Accordingly, SPARC can offer valuable insights in gene expression programs of single cells.

scholarly journals Quantifying cytoskeletal heterogeneity via single-cell protein-complex fractionation

2020 ◽  
Author(s):  
Julea Vlassakis ◽  
Louise L. Hansen ◽  
Ryo Higuchi-Sanabria ◽  
Yun Zhou ◽  
C. Kimberly Tsui ◽  
...  
Keyword(s):  
Single Cell ◽  
Protein Complex ◽  
Protein Complexes ◽  
Single Cells ◽  
Single Cell Protein ◽  
Cellular Heterogeneity ◽  
Size Exclusion ◽  
Cell Protein ◽  
Intermediate Filament Protein ◽  
Filament Protein

AbstractMultimeric cytoskeletal protein complexes, including filamentous F-actin, orchestrate normal cellular function. However, protein-complex distributions in stressed, heterogeneous cell populations remain unknown. Cell staining and proximity-based methods have limited selectivity and/or sensitivity for robust endogenous multimeric protein-complex quantification from single cells. We introduce micro-arrayed differential detergent fractionation to simultaneously detect protein complexes in 100s of individual cells. Fractionation occurs by 60s size-exclusion electrophoresis with protein complex-stabilizing buffer that minimizes depolymerization. Validating with actin-destabilizing Latrunculin A (LatA), we quantify 2.7-fold lower median F-actin complex-levels in LatA-treated single cells. Further clustering analysis of U2OS cells treated with LatA detects a subpopulation (∼11%) exhibiting downregulated F-actin, but upregulated microtubule and intermediate filament protein complexes. Thus, some cells upregulate other cytoskeletal complexes to counteract the stress of LatA treatment. We also sought to understand the effect of non-chemical stress on cellular heterogeneity of F-actin, and find heat shock dysregulates F and monomeric G-actin correlation. The assay overcomes selectivity limitations of existing methods to biochemically quantify single-cell protein complexes perturbed with diverse stimuli.

scholarly journals Multiplexed single-cell proteomics using SCoPE2

2021 ◽  
Author(s):  
Aleksandra A Petelski ◽  
Edward Emmott ◽  
Andrew Leduc ◽  
R. Gray Huffman ◽  
Harrison Specht ◽  
...  
Keyword(s):  
Single Cell ◽  
Single Cell Analysis ◽  
Single Cells ◽  
Cost Effective ◽  
Protein Analysis ◽  
Single Cell Protein ◽  
Protein Quantification ◽  
Cell Protein ◽  
Label Free ◽  
Cost Effective Method

Many biological systems are composed of diverse single cells. This diversity necessitates functional and molecular single-cell analysis. Single-cell protein analysis has long relied on affinity reagents, but emerging mass-spectrometry methods (either label-free or multiplexed) have enabled quantifying over 1,000 proteins per cell while simultaneously increasing the specificity of protein quantification. Isobaric carrier based multiplexed single-cell proteomics is a scalable, reliable, and cost-effective method that can be fully automated and implemented on widely available equipment. It uses inexpensive reagents and is applicable to any sample that can be processed to a single-cell suspension. Here we describe an automated Single Cell ProtEomics (SCoPE2) workflow that allows analyzing about 200 single cells per 24 hours using only standard commercial equipment. We emphasize experimental steps and benchmarks required for achieving quantitative protein analysis.

scholarly journals Direct correlation between motile behavior and protein abundance in single cells

2016 ◽  
Author(s):  
Yann S Dufour ◽  
Sébastien Gillet ◽  
Nicholas W Frankel ◽  
Douglas B Weibel ◽  
Thierry Emonet
Keyword(s):  
Protein Expression ◽  
Single Cell ◽  
Phenotypic Diversity ◽  
Single Cells ◽  
Selective Advantage ◽  
Single Cell Protein ◽  
Cell Protein ◽  
Chemotaxis Proteins

AbstractUnderstanding how stochastic molecular fluctuations affect cell behavior requires the quantification of both behavior and protein numbers in the same cells. Here, we combine automated microscopy with in situ hydrogel polymerization to measure single-cell protein expression after tracking swimming behavior. We characterized the distribution of non-genetic phenotypic diversity in Escherichia coli motility, which affects single-cell exploration. By expressing fluorescently tagged chemotaxis proteins (CheR and CheB) at different levels, we quantitatively mapped motile phenotype (tumble bias) to protein numbers using thousands of single-cell measurements. Our results disagreed with established models until we incorporated the role of CheB in receptor deamidation and the slow fluctuations in receptor methylation. Beyond refining models, our central finding is that changes in numbers of CheR and CheB affect the population mean tumble bias and its variance independently. Therefore, it is possible to adjust the degree of phenotypic diversity of a population by adjusting the global level of expression of CheR and CheB while keeping their ratio constant, which, as shown in previous studies, confers functional robustness to the system. Since genetic control of protein expression is heritable, our results suggest that non-genetic diversity in motile behavior is selectable, supporting earlier hypotheses that such diversity confers a selective advantage.

scholarly journals NOMA: a high-throughput microchip for robust sequential measurements of secretions from the same single-cells

2021 ◽  
Author(s):  
Meimei Liu ◽  
Yahui Ji ◽  
Fengjiao Zhu ◽  
Xue Bai ◽  
Linmei Li ◽  
...  
Keyword(s):  
Single Cell ◽  
Protein Secretion ◽  
Single Cells ◽  
Extended Period ◽  
Extracellular Vesicle ◽  
Single Cell Protein ◽  
Cell Protein ◽  
Cell Secretion ◽  
Suspension Cells ◽  
Sequential Measurements

AbstractDespite advances in single-cell secretion analysis technologies, lacking simple methods to reliably keep the live single-cells traceable for longitudinal detection poses a significant obstacle. Here we developed the high-density NOMA (narrow-opening microwell array) microchip that realized the retention of ≥97% of trapped single cells during repetitive detection procedures, regardless of adherent or suspension cells. We demonstrated its use to decode the correlation of protein abundance between secreted extracellular vesicles (EVs) and its donor cells at the same single-cell level, in which we found that these two were poorly correlated with each other. We further applied it in monitoring single-cell protein secretions sequentially from the same single cells. Notably, we observed the digital protein secretion patterns dominate the protein secretion. We also applied the microchip for longitudinally tracking of the single-cell integrative secretions over days, which revealed the presence of “super secretors” within the cell population that could be more persistent to secrete protein or extracellular vesicle for an extended period. The NOMA platform reported here is simple, robust, and easy to operate for realizing sequential measurements from the same single cells, representing a novel and informative tool to inspire new observations in biomedical research.

SIFTER: Electrophoretic complex fractionation protocol

2021 ◽  
Author(s):  
Julea Vlassakis ◽  
Louise L Hansen ◽  
Amy E Herr
Keyword(s):  
Single Cell ◽  
Protein Interaction ◽  
Gel Electrophoresis ◽  
Protein Complexes ◽  
Single Cells ◽  
Polyacrylamide Gel Electrophoresis ◽  
Simultaneous Detection ◽  
Single Cell Protein ◽  
Cell Protein ◽  
A Cell

Abstract We introduce micro-arrayed, differential detergent fractionation for the simultaneous detection of protein complexes in 100s of individual cells with SIFTER (Single-cell protein Interaction Fractionation Through Electrophoresis and immunoassay Readout). Size-based fractionation of protein complexes is accomplished with five assay steps. First, a cell suspension generated by trypsinization is introduced onto a microwell array, and single cells are settled into the microwells by gravity. Cells are lysed in F-actin stabilization buffer that is delivered by a hydrogel lid. Second, the protein complexes are fractionated from the smaller monomers by polyacrylamide gel electrophoresis. Monomers are electrophoresed into the gel and are immobilized using a UV-induced covalent reaction to benzophenone. Third, a protein-complex depolymerization buffer is introduced by another hydrogel lid. Fourth, the recently depolymerized complexes are electrophoresed into a region of the gel separate from the immobilized monomers, where the complex fraction are in turn immobilized. Fifth, in-gel immunoprobing detects the immobilized populations of monomer and depolymerized complexes. These general steps are built on previously published protocols for bulk actin studies, single-cell western blotting, and bidirectional separations1-4.

scholarly journals Quantification of single-cell nanoparticle concentrations and the distribution of these concentrations in cell population

2014 ◽  
Vol 11 (94) ◽  
pp. 20131152 ◽  
Author(s):  
Jason T. Rashkow ◽  
Sunny C. Patel ◽  
Ryan Tappero ◽  
Balaji Sitharaman
Keyword(s):  
Single Cell ◽  
Inductively Coupled Plasma ◽  
Single Cell Analysis ◽  
Single Cells ◽  
Large Population ◽  
Cellular Heterogeneity ◽  
Physical Parameters ◽  
Animal Cells ◽  
Promising Tool ◽  
Icp Ms

Quantification of nanoparticle uptake into cells is necessary for numerous applications in cellular imaging and therapy. Herein, synchrotron X-ray fluorescence (SXRF) microscopy, a promising tool to quantify elements in plant and animal cells, was employed to quantify and characterize the distribution of titanium dioxide (TiO 2 ) nanosphere uptake in a population of single cells. These results were compared with average nanoparticle concentrations per cell obtained by widely used inductively coupled plasma mass spectrometry (ICP-MS). The results show that nanoparticle concentrations per cell quantified by SXRF were of one to two orders of magnitude greater compared with ICP-MS. The SXRF results also indicate a Gaussian distribution of the nanoparticle concentration per cell. The results suggest that issues relevant to the field of single-cell analysis, the limitation of methods to determine physical parameters from large population averages leading to potentially misleading information and the lack of any information about the cellular heterogeneity are equally relevant for quantification of nanoparticles in cell populations.

scholarly journals Measuring expression heterogeneity of single-cell cytoskeletal protein complexes

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Julea Vlassakis ◽  
Louise L. Hansen ◽  
Ryo Higuchi-Sanabria ◽  
Yun Zhou ◽  
C. Kimberly Tsui ◽  
...  
Keyword(s):  
Single Cell ◽  
Protein Complex ◽  
Protein Complexes ◽  
Single Cells ◽  
Cellular Heterogeneity ◽  
Size Exclusion ◽  
Cell Protein ◽  
Cytoskeletal Protein ◽  
Filamentous Actin ◽  
Latrunculin A

AbstractMultimeric cytoskeletal protein complexes orchestrate normal cellular function. However, protein-complex distributions in stressed, heterogeneous cell populations remain unknown. Cell staining and proximity-based methods have limited selectivity and/or sensitivity for endogenous multimeric protein-complex quantification from single cells. We introduce micro-arrayed, differential detergent fractionation to simultaneously detect protein complexes in hundreds of individual cells. Fractionation occurs by 60 s size-exclusion electrophoresis with protein complex-stabilizing buffer that minimizes depolymerization. Proteins are measured with a ~5-hour immunoassay. Co-detection of cytoskeletal protein complexes in U2OS cells treated with filamentous actin (F-actin) destabilizing Latrunculin A detects a unique subpopulation (~2%) exhibiting downregulated F-actin, but upregulated microtubules. Thus, some cells may upregulate other cytoskeletal complexes to counteract the stress of Latrunculin A treatment. We also sought to understand the effect of non-chemical stress on cellular heterogeneity of F-actin. We find heat shock may dysregulate filamentous and globular actin correlation. In this work, our assay overcomes selectivity limitations to biochemically quantify single-cell protein complexes perturbed with diverse stimuli.

scholarly journals Unified single-cell analysis of testis gene regulation and pathology in 5 mouse strains

2018 ◽  
Author(s):  
Min Jung ◽  
Daniel Wells ◽  
Jannette Rusch ◽  
Suhaira Ahmed ◽  
Jonathan Marchini ◽  
...  
Keyword(s):  
Gene Regulation ◽  
Single Cell ◽  
Web Application ◽  
Single Cell Analysis ◽  
De Novo ◽  
Single Cells ◽  
Cellular Heterogeneity ◽  
Mouse Strains ◽  
Seminiferous Tubules ◽  
Sequence Motifs

AbstractBy removing the confounding factor of cellular heterogeneity, single cell genomics can revolutionize the study of development and disease, but methods are needed to simplify comparison among individuals. To develop such a framework, we assayed the transcriptome in 62,600 single cells from the testes of wildtype mice, and mice with gonadal defects due to disruption of the genes Mlh3, Hormad1, Cul4a or Cnp. The resulting expression atlas of distinct cell clusters revealed novel markers and new insights into testis gene regulation. By jointly analysing mutant and wildtype cells using a model-based factor analysis method, SDA, we decomposed our data into 46 components that identify novel meiotic gene regulatory programmes, mutant-specific pathological processes, and technical effects. Moreover, we identify, de novo, DNA sequence motifs associated with each component, and show that SDA can be used to impute expression values from single cell data. Analysis of SDA components also led us to identify a rare population of macrophages within the seminiferous tubules of Mlh3-/- and Hormad1-/- testes, an area typically associated with immune privilege. We provide a web application to enable interactive exploration of testis gene expression and components at http://www.stats.ox.ac.uk/~wells/testisAtlas.html

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