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1.
Nature ; 619(7970): 595-605, 2023 Jul.
Article in English | MEDLINE | ID: mdl-37468587

ABSTRACT

Beginning in the first trimester, fetally derived extravillous trophoblasts (EVTs) invade the uterus and remodel its spiral arteries, transforming them into large, dilated blood vessels. Several mechanisms have been proposed to explain how EVTs coordinate with the maternal decidua to promote a tissue microenvironment conducive to spiral artery remodelling (SAR)1-3. However, it remains a matter of debate regarding which immune and stromal cells participate in these interactions and how this evolves with respect to gestational age. Here we used a multiomics approach, combining the strengths of spatial proteomics and transcriptomics, to construct a spatiotemporal atlas of the human maternal-fetal interface in the first half of pregnancy. We used multiplexed ion beam imaging by time-of-flight and a 37-plex antibody panel to analyse around 500,000 cells and 588 arteries within intact decidua from 66 individuals between 6 and 20 weeks of gestation, integrating this dataset with co-registered transcriptomics profiles. Gestational age substantially influenced the frequency of maternal immune and stromal cells, with tolerogenic subsets expressing CD206, CD163, TIM-3, galectin-9 and IDO-1 becoming increasingly enriched and colocalized at later time points. By contrast, SAR progression preferentially correlated with EVT invasion and was transcriptionally defined by 78 gene ontology pathways exhibiting distinct monotonic and biphasic trends. Last, we developed an integrated model of SAR whereby invasion is accompanied by the upregulation of pro-angiogenic, immunoregulatory EVT programmes that promote interactions with the vascular endothelium while avoiding the activation of maternal immune cells.


Subject(s)
Maternal-Fetal Exchange , Trophoblasts , Uterus , Female , Humans , Pregnancy , Arteries/physiology , Decidua/blood supply , Decidua/cytology , Decidua/immunology , Decidua/physiology , Pregnancy Trimester, First/genetics , Pregnancy Trimester, First/metabolism , Pregnancy Trimester, First/physiology , Trophoblasts/cytology , Trophoblasts/immunology , Trophoblasts/physiology , Uterus/blood supply , Uterus/cytology , Uterus/immunology , Uterus/physiology , Maternal-Fetal Exchange/genetics , Maternal-Fetal Exchange/immunology , Maternal-Fetal Exchange/physiology , Time Factors , Proteomics , Gene Expression Profiling , Datasets as Topic , Gestational Age
2.
Acta Neuropathol Commun ; 10(1): 158, 2022 11 04.
Article in English | MEDLINE | ID: mdl-36333818

ABSTRACT

Neurodegenerative disorders are characterized by phenotypic changes and hallmark proteopathies. Quantifying these in archival human brain tissues remains indispensable for validating animal models and understanding disease mechanisms. We present a framework for nanometer-scale, spatial proteomics with multiplex ion beam imaging (MIBI) for capturing neuropathological features. MIBI facilitated simultaneous, quantitative imaging of 36 proteins on archival human hippocampus from individuals spanning cognitively normal to dementia. Customized analysis strategies identified cell types and proteopathies in the hippocampus across stages of Alzheimer's disease (AD) neuropathologic change. We show microglia-pathologic tau interactions in hippocampal CA1 subfield in AD dementia. Data driven, sample independent creation of spatial proteomic regions identified persistent neurons in pathologic tau neighborhoods expressing mitochondrial protein MFN2, regardless of cognitive status, suggesting a survival advantage. Our study revealed unique insights from multiplexed imaging and data-driven approaches for neuropathologic analysis and serves broadly as a methodology for spatial proteomic analysis of archival human neuropathology. TEASER: Multiplex Ion beam Imaging enables deep spatial phenotyping of human neuropathology-associated cellular and disease features.


Subject(s)
Alzheimer Disease , Proteomics , Animals , Humans , Neuropathology , Alzheimer Disease/pathology , Hippocampus/pathology , Microglia/pathology , tau Proteins/metabolism
4.
Nat Immunol ; 23(2): 318-329, 2022 02.
Article in English | MEDLINE | ID: mdl-35058616

ABSTRACT

Tuberculosis (TB) in humans is characterized by formation of immune-rich granulomas in infected tissues, the architecture and composition of which are thought to affect disease outcome. However, our understanding of the spatial relationships that control human granulomas is limited. Here, we used multiplexed ion beam imaging by time of flight (MIBI-TOF) to image 37 proteins in tissues from patients with active TB. We constructed a comprehensive atlas that maps 19 cell subsets across 8 spatial microenvironments. This atlas shows an IFN-γ-depleted microenvironment enriched for TGF-ß, regulatory T cells and IDO1+ PD-L1+ myeloid cells. In a further transcriptomic meta-analysis of peripheral blood from patients with TB, immunoregulatory trends mirror those identified by granuloma imaging. Notably, PD-L1 expression is associated with progression to active TB and treatment response. These data indicate that in TB granulomas, there are local spatially coordinated immunoregulatory programs with systemic manifestations that define active TB.


Subject(s)
Granuloma/immunology , Tuberculosis/immunology , B7-H1 Antigen/immunology , Cells, Cultured , Cytokines/immunology , Gene Expression Profiling/methods , Humans , Indoleamine-Pyrrole 2,3,-Dioxygenase/immunology , Lung/immunology , Mycobacterium tuberculosis/immunology , Myeloid Cells/immunology
5.
Cell ; 185(2): 299-310.e18, 2022 01 20.
Article in English | MEDLINE | ID: mdl-35063072

ABSTRACT

Ductal carcinoma in situ (DCIS) is a pre-invasive lesion that is thought to be a precursor to invasive breast cancer (IBC). To understand the changes in the tumor microenvironment (TME) accompanying transition to IBC, we used multiplexed ion beam imaging by time of flight (MIBI-TOF) and a 37-plex antibody staining panel to interrogate 79 clinically annotated surgical resections using machine learning tools for cell segmentation, pixel-based clustering, and object morphometrics. Comparison of normal breast with patient-matched DCIS and IBC revealed coordinated transitions between four TME states that were delineated based on the location and function of myoepithelium, fibroblasts, and immune cells. Surprisingly, myoepithelial disruption was more advanced in DCIS patients that did not develop IBC, suggesting this process could be protective against recurrence. Taken together, this HTAN Breast PreCancer Atlas study offers insight into drivers of IBC relapse and emphasizes the importance of the TME in regulating these processes.


Subject(s)
Breast Neoplasms/pathology , Carcinoma, Intraductal, Noninfiltrating/pathology , Cell Differentiation , Cohort Studies , Disease Progression , Epithelial Cells/pathology , Epithelium/pathology , Extracellular Matrix/metabolism , Female , Fibroblasts/metabolism , Fibroblasts/pathology , Humans , Middle Aged , Neoplasm Invasiveness , Neoplasm Recurrence, Local/pathology , Phenotype , Single-Cell Analysis , Stromal Cells/pathology , Tumor Microenvironment
6.
Cell Rep Med ; 2(10): 100419, 2021 10 19.
Article in English | MEDLINE | ID: mdl-34755133

ABSTRACT

Immune checkpoint blockade using PD-1 inhibition is an effective approach for treating a wide variety of cancer subtypes. While lower gastrointestinal (GI) side effects are more common, upper gastrointestinal adverse events are rarely reported. Here, we present a case of nivolumab-associated autoimmune gastritis. To elucidate the immunology underlying this condition, we leverage multiplexed ion beam imaging by time-of-flight (MIBI-TOF) to identify the presence and proportion of infiltrating immune cells from a single section of biopsy specimen. Using MIBI-TOF, we analyze formalin-fixed, paraffin-embedded human gastric tissue with 28 labels simultaneously. Our analyses reveal a gastritis characterized by severe mucosal injury, interferon gamma (IFN-γ)-producing gastric epithelial cells, and mixed inflammation that includes CD8 and CD4 T cell infiltrates with reduced expression of granzyme B and FOXP3, respectively. Here, we provide a comprehensive multiplexed histopathological mapping of gastric tissue, which identifies IFN-γ-producing epithelial cells as possible contributors to the nivolumab-associated gastritis.


Subject(s)
Antineoplastic Agents, Immunological/adverse effects , Gastritis/chemically induced , Immune Checkpoint Inhibitors/adverse effects , Interferon-gamma/immunology , Nivolumab/adverse effects , Antineoplastic Agents, Immunological/administration & dosage , Biopsy , CD4-Positive T-Lymphocytes/drug effects , CD4-Positive T-Lymphocytes/immunology , CD4-Positive T-Lymphocytes/pathology , CD8-Positive T-Lymphocytes/drug effects , CD8-Positive T-Lymphocytes/immunology , CD8-Positive T-Lymphocytes/pathology , Colonic Neoplasms/drug therapy , Colonic Neoplasms/genetics , Colonic Neoplasms/immunology , Colonic Neoplasms/pathology , Epithelial Cells/drug effects , Epithelial Cells/immunology , Epithelial Cells/pathology , Female , Forkhead Transcription Factors/genetics , Forkhead Transcription Factors/immunology , Gastric Mucosa/drug effects , Gastric Mucosa/immunology , Gastric Mucosa/pathology , Gastritis/genetics , Gastritis/immunology , Gastritis/pathology , Gene Expression , Granzymes/genetics , Granzymes/immunology , Humans , Immune Checkpoint Inhibitors/administration & dosage , Interferon-gamma/genetics , Middle Aged , Nivolumab/administration & dosage , Stomach/drug effects , Stomach/immunology , Stomach/pathology , Uterine Neoplasms/drug therapy , Uterine Neoplasms/genetics , Uterine Neoplasms/immunology , Uterine Neoplasms/pathology
7.
PLoS Comput Biol ; 17(4): e1008887, 2021 04.
Article in English | MEDLINE | ID: mdl-33872301

ABSTRACT

Mass Based Imaging (MBI) technologies such as Multiplexed Ion Beam Imaging by time of flight (MIBI-TOF) and Imaging Mass Cytometry (IMC) allow for the simultaneous measurement of the expression levels of 40 or more proteins in biological tissue, providing insight into cellular phenotypes and organization in situ. Imaging artifacts, resulting from the sample, assay or instrumentation complicate downstream analyses and require correction by domain experts. Here, we present MBI Analysis User Interface (MAUI), a series of graphical user interfaces that facilitate this data pre-processing, including the removal of channel crosstalk, noise and antibody aggregates. Our software streamlines these steps and accelerates processing by enabling real-time and interactive parameter tuning across multiple images.


Subject(s)
Image Processing, Computer-Assisted/methods , Proteins/metabolism , Single-Cell Analysis/methods , User-Computer Interface , Cell Line, Tumor , Computer Graphics , Humans , Proteins/analysis
8.
Nat Biotechnol ; 39(2): 186-197, 2021 02.
Article in English | MEDLINE | ID: mdl-32868913

ABSTRACT

Cellular metabolism regulates immune cell activation, differentiation and effector functions, but current metabolic approaches lack single-cell resolution and simultaneous characterization of cellular phenotype. In this study, we developed an approach to characterize the metabolic regulome of single cells together with their phenotypic identity. The method, termed single-cell metabolic regulome profiling (scMEP), quantifies proteins that regulate metabolic pathway activity using high-dimensional antibody-based technologies. We employed mass cytometry (cytometry by time of flight, CyTOF) to benchmark scMEP against bulk metabolic assays by reconstructing the metabolic remodeling of in vitro-activated naive and memory CD8+ T cells. We applied the approach to clinical samples and identified tissue-restricted, metabolically repressed cytotoxic T cells in human colorectal carcinoma. Combining our method with multiplexed ion beam imaging by time of flight (MIBI-TOF), we uncovered the spatial organization of metabolic programs in human tissues, which indicated exclusion of metabolically repressed immune cells from the tumor-immune boundary. Overall, our approach enables robust approximation of metabolic and functional states in individual cells.


Subject(s)
Metabolome , Single-Cell Analysis , T-Lymphocytes, Cytotoxic/cytology , T-Lymphocytes, Cytotoxic/metabolism , Colorectal Neoplasms/immunology , Colorectal Neoplasms/pathology , Humans , Lymphocyte Activation/immunology , Lymphocyte Subsets/immunology , Metabolic Flux Analysis
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