Searching the Resource Information Network

Our searching services are busy right now. Please try again later

  • Register
X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

X

Leaving Community

Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.

No
Yes

Multiplexed imaging of immune cells in staged multiple sclerosis lesions by mass cytometry.

Valeria Ramaglia | Salma Sheikh-Mohamed | Karen Legg | Calvin Park | Olga L Rojas | Stephanie Zandee | Fred Fu | Olga Ornatsky | Eric C Swanson | David Pitt | Alexandre Prat | Trevor D McKee | Jennifer L Gommerman
eLife | 2019

Multiple sclerosis (MS) is characterized by demyelinated and inflammatory lesions in the brain and spinal cord that are highly variable in terms of cellular content. Here, we used imaging mass cytometry (IMC) to enable the simultaneous imaging of 15+ proteins within staged MS lesions. To test the potential for IMC to discriminate between different types of lesions, we selected a case with severe rebound MS disease activity after natalizumab cessation. With post-acquisition analysis pipelines we were able to: (1) Discriminate demyelinating macrophages from the resident microglial pool; (2) Determine which types of lymphocytes reside closest to blood vessels; (3) Identify multiple subsets of T and B cells, and (4) Ascertain dynamics of T cell phenotypes vis-à-vis lesion type and location. We propose that IMC will enable a comprehensive analysis of single-cell phenotypes, their functional states and cell-cell interactions in relation to lesion morphometry and demyelinating activity in MS patients.

Pubmed ID: 31368890

Additional research tools detected in this publication

Associated grants

  • Agency: NINDS NIH HHS, United States
    Id: R01 NS102267
  • Agency: NINDS NIH HHS, United States
    Id: R01 NS112907
  • Agency: NCATS NIH HHS, United States
    Id: UL1 TR001863
  • Agency: National Multiple Sclerosis Society, International
    Id: RR-1602-07777

Publication data is provided by the National Library of Medicine ® and PubMed ®. Data is retrieved from PubMed ® on a weekly schedule. For terms and conditions see the National Library of Medicine Terms and Conditions.

This is a list of tools and resources that we have found mentioned in this publication.


PRISM (tool)

RRID:SCR_005375

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 5,2022.Tool that predicts interactions between transcription factors and their regulated genes from binding motifs. Understanding vertebrate development requires unraveling the cis-regulatory architecture of gene regulation. PRISM provides accurate genome-wide computational predictions of transcription factor binding sites for the human and mouse genomes, and integrates the predictions with GREAT to provide functional biological context. Together, accurate computational binding site prediction and GREAT produce for each transcription factor: 1. putative binding sites, 2. putative target genes, 3. putative biological roles of the transcription factor, and 4. putative cis-regulatory elements through which the factor regulates each target in each functional role.

View all literature mentions

MatPlotLib (tool)

RRID:SCR_008624

Python 2D plotting library which produces publication quality figures in variety of hardcopy formats and interactive environments across platforms. Used in python scripts, web application servers, and six graphical user interface toolkits. Used to generate plots, histograms, power spectra, bar charts, error charts, scatter plots.

View all literature mentions

Sigma-Aldrich (tool)

RRID:SCR_008988

American chemical, life science and biotechnology company owned by Merck KGaA. Merger of Sigma Chemical Company and Aldrich Chemical Company. Provides organic and inorganic chemicals, building blocks, reagents, advanced materials and stable isotopes for chemical synthesis, medicinal chemistry and materials science, antibiotics, buffers, carbohydrates, enzymes, forensic tools, hematology and histology, nucleotides, proteins, peptides, amino acids and their derivatives.

View all literature mentions

Anti-Human IgG lambda (MHL-38)-151Eu (antibody)

RRID:AB_2810853

This monoclonal targets IgG lambda

View all literature mentions

Anti-Human CD45 (HI30)-154Sm (antibody)

RRID:AB_2810854

This monoclonal targets CD45

View all literature mentions

Purified anti-human CD4 (antibody)

RRID:AB_1937277

This monoclonal targets CD4

View all literature mentions

Anti-Human IgG kappa (MHK-49)-160Gd (antibody)

RRID:AB_2810855

This monoclonal targets IgG kappa

View all literature mentions

Anti-Ki-67 (Ki-67)-168Er (antibody)

RRID:AB_2810856

This monoclonal targets Ki-67

View all literature mentions

Anti-TMEM119 (antibody)

RRID:AB_2681645

This unknown targets TMEM119

View all literature mentions

Anti-Human CD38 (HIT2)-167Er (antibody)

RRID:AB_2802110

This monoclonal targets CD38

View all literature mentions

Anti-Human CD68 (KP1)-159Tb (antibody)

RRID:AB_2810859

This monoclonal targets CD68

View all literature mentions

ZEISS ZEN Microscopy Software (software resource)

RRID:SCR_013672

User interface software for Carl Zeiss light microscopy imaging systems. ZEN is the universal user interface you will see on every imaging system from ZEISS. After selecting fluorophore, ZEN applies the necessary settings to collect and organize data.

View all literature mentions

Definiens Developer XD (software resource)

RRID:SCR_014283

A development environment designed to create automated image analysis solutions for segmentation and classification tasks. It delivers quantitative and consistent data for any type of image (e.g., IHC, ISH, IF images in different formats). Developer XD also contains a large library of image analysis algorithms, which users can add to, for whole slide images and tissue microarrays (TMAs). It can be integrated with an existing Tissue Studio installation.

View all literature mentions

ImageJ (software resource)

RRID:SCR_003070

Open source Java based image processing software program designed for scientific multidimensional images. ImageJ has been transformed to ImageJ2 application to improve data engine to be sufficient to analyze modern datasets.

View all literature mentions

ggplot2 (data processing software)

RRID:SCR_014601

Open source software package for statistical programming language R to create plots based on grammar of graphics. Used for data visualization to break up graphs into semantic components such as scales and layers.

View all literature mentions

GraphPad Prism (software resource)

RRID:SCR_002798

Statistical analysis software that combines scientific graphing, comprehensive curve fitting (nonlinear regression), understandable statistics, and data organization. Designed for biological research applications in pharmacology, physiology, and other biological fields for data analysis, hypothesis testing, and modeling.

View all literature mentions

CellProfiler Image Analysis Software (data processing software)

RRID:SCR_007358

Software tool to enable biologists without training in computer vision or programming to quantitatively measure phenotypes from thousands of images automatically. It counts cells and also measures the size, shape, intensity and texture of every cell (and every labeled subcellular compartment) in every image. It was designed for high throughput screening but can perform automated image analysis for images from time-lapse movies and low-throughput experiments. CellProfiler has an increasing number of algorithms to identify and measure properties of neuronal cell types.

View all literature mentions

R Project for Statistical Computing (software resource)

RRID:SCR_001905

Software environment and programming language for statistical computing and graphics. R is integrated suite of software facilities for data manipulation, calculation and graphical display. Can be extended via packages. Some packages are supplied with the R distribution and more are available through CRAN family.It compiles and runs on wide variety of UNIX platforms, Windows and MacOS.

View all literature mentions