Metabolic Imaging at the Single-Cell Scale: Recent Advances in Mass Spectrometry Imaging

2019 ◽  
Vol 12 (1) ◽  
pp. 201-224 ◽  
Author(s):  
Ian S. Gilmore ◽  
Sven Heiles ◽  
Cornelius L. Pieterse
Keyword(s):  
Mass Spectrometry ◽  
Single Cell ◽  
Mass Spectrometry Imaging ◽  
Secondary Ion Mass Spectrometry ◽  
Cell Types ◽  
Metabolic Imaging ◽  
Spatially Resolved ◽  
Recent Advances ◽  
Challenges And Opportunities ◽  
Future Challenges

There is an increasing appreciation that every cell, even of the same type, is different. This complexity, when additionally combined with the variety of different cell types in tissue, is driving the need for spatially resolved omics at the single-cell scale. Rapid advances are being made in genomics and transcriptomics, but progress in metabolomics lags. This is partly because amplification and tagging strategies are not suited to dynamically created metabolite molecules. Mass spectrometry imaging has excellent potential for metabolic imaging. This review summarizes the recent advances in two of these techniques: matrix-assisted laser desorption ionization (MALDI) and secondary ion mass spectrometry (SIMS) and their convergence in subcellular spatial resolution and molecular information. The barriers that have held back progress such as lack of sensitivity and the breakthroughs that have been made including laser-postionization are highlighted as well as the future challenges and opportunities for metabolic imaging at the single-cell scale.

scholarly journals Recent advances in single-cell MALDI mass spectrometry imaging and potential clinical impact

2011 ◽  
Vol 8 (5) ◽  
pp. 591-604 ◽  
Author(s):  
Kristin J Boggio ◽  
Emmanuel Obasuyi ◽  
Ken Sugino ◽  
Sacha B Nelson ◽  
Nathalie YR Agar ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Single Cell ◽  
Mass Spectrometry Imaging ◽  
Maldi Mass Spectrometry ◽  
Clinical Impact ◽  
Recent Advances ◽  
Potential Clinical Impact ◽  
Maldi Mass Spectrometry Imaging

scholarly journals Identifying Individual Cell Types in Heterogeneous Cultures Using Secondary Ion Mass Spectrometry Imaging with C60Etching and Multivariate Analysis

2012 ◽  
Vol 84 (2) ◽  
pp. 893-900 ◽  
Author(s):  
Christopher A. Barnes ◽  
Jeremy Brison ◽  
Michael Robinson ◽  
Daniel J. Graham ◽  
David G. Castner ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Multivariate Analysis ◽  
Mass Spectrometry Imaging ◽  
Secondary Ion Mass Spectrometry ◽  
Individual Cell ◽  
Cell Types ◽  
Ion Mass Spectrometry ◽  
Secondary Ion

scholarly journals Single-cell transcriptomic analysis of mIHC images via antigen mapping

2021 ◽  
Vol 7 (10) ◽  
pp. eabc5464
Author(s):  
Kiya W. Govek ◽  
Emma C. Troisi ◽  
Zhen Miao ◽  
Rachael G. Aubin ◽  
Steven Woodhouse ◽  
...  
Keyword(s):  
Single Cell ◽  
Spatial Patterns ◽  
Cell Types ◽  
Level Of Detail ◽  
Cell Populations ◽  
Sequencing Data ◽  
Spatially Resolved ◽  
Murine Spleen ◽  
Single Cell Rna Sequencing ◽  
Antibody Panel

Highly multiplexed immunohistochemistry (mIHC) enables the staining and quantification of dozens of antigens in a tissue section with single-cell resolution. However, annotating cell populations that differ little in the profiled antigens or for which the antibody panel does not include specific markers is challenging. To overcome this obstacle, we have developed an approach for enriching mIHC images with single-cell RNA sequencing data, building upon recent experimental procedures for augmenting single-cell transcriptomes with concurrent antigen measurements. Spatially-resolved Transcriptomics via Epitope Anchoring (STvEA) performs transcriptome-guided annotation of highly multiplexed cytometry datasets. It increases the level of detail in histological analyses by enabling the systematic annotation of nuanced cell populations, spatial patterns of transcription, and interactions between cell types. We demonstrate the utility of STvEA by uncovering the architecture of poorly characterized cell types in the murine spleen using published cytometry and mIHC data of this organ.

scholarly journals Time-of-Flight Secondary Ion Mass Spectrometry Imaging of Cross Sections from the Bacchanals Paintings of Nicolas Poussin

2021 ◽  
Vol 93 (10) ◽  
pp. 4463-4471
Author(s):  
Caroline Bouvier ◽  
Helen Glanville ◽  
Laurence de Viguerie ◽  
Chiara Merucci ◽  
Philippe Walter ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Cross Sections ◽  
Mass Spectrometry Imaging ◽  
Secondary Ion Mass Spectrometry ◽  
Time Of Flight ◽  
Ion Mass Spectrometry ◽  
Nicolas Poussin ◽  
Secondary Ion

scholarly journals Spatial and single-cell transcriptional landscape of human cerebellar development

2020 ◽  
Author(s):  
Kimberly A. Aldinger ◽  
Zach Thomson ◽  
Parthiv Haldipur ◽  
Mei Deng ◽  
Andrew E. Timms ◽  
...  
Keyword(s):  
Single Cell ◽  
Emotional Regulation ◽  
Cell Types ◽  
Molecular Organization ◽  
Cerebellar Development ◽  
Disease Genes ◽  
Spatially Resolved ◽  
Human Cerebellum ◽  
Spatial Composition ◽  
And Function

ABSTRACTCerebellar development and function require precise regulation of molecular and cellular programs to coordinate motor functions and integrate network signals required for cognition and emotional regulation. However, molecular understanding of human cerebellar development is limited. Here, we combined spatially resolved and single-cell transcriptomics to systematically map the molecular, cellular, and spatial composition of early and mid-gestational human cerebellum. This enabled us to transcriptionally profile major cell types and examine the dynamics of gene expression within cell types and lineages across development. The resulting ‘Developmental Cell Atlas of the Human Cerebellum’ demonstrates that the molecular organization of the cerebellar anlage reflects cytoarchitecturally distinct regions and developmentally transient cell types that are insufficiently captured in bulk transcriptional profiles. By mapping disease genes onto cell types, we implicate the dysregulation of specific cerebellar cell types, especially Purkinje cells, in pediatric and adult neurological disorders. These data provide a critical resource for understanding human cerebellar development with implications for the cellular basis of cerebellar diseases.

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