Searching across hundreds of databases

Our searching services are busy right now. Your search will reload in five seconds.

  • 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
X
Forgot Password

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

Compensation of Signal Spillover in Suspension and Imaging Mass Cytometry.

Cell systems | 2018

The advent of mass cytometry increased the number of parameters measured at the single-cell level while decreasing the extent of crosstalk between channels relative to dye-based flow cytometry. Although reduced, spillover still exists in mass cytometry data, and minimizing its effect requires considerable expert knowledge and substantial experimental effort. Here, we describe a novel bead-based compensation workflow and R-based software that estimates and corrects for interference between channels. We performed an in-depth characterization of the spillover properties in mass cytometry, including limitations defined by the linear range of the mass cytometer and the reproducibility of the spillover over time and across machines. We demonstrated the utility of our method in suspension and imaging mass cytometry. To conclude, our approach greatly simplifies the development of new antibody panels, increases flexibility for antibody-metal pairing, opens the way to using less pure isotopes, and improves overall data quality, thereby reducing the risk of reporting cell phenotype artifacts.

Pubmed ID: 29605184 RIS Download

Additional research tools detected in this publication

Antibodies used in this publication

Associated grants

  • Agency: NIDDK NIH HHS, United States
    Id: UC4 DK108132

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.


Bioconductor (tool)

RRID:SCR_006442

Software repository for R packages related to analysis and comprehension of high throughput genomic data. Uses separate set of commands for installation of packages. Software project based on R programming language that provides tools for analysis and comprehension of high throughput genomic data.

View all literature mentions

GitHub (tool)

RRID:SCR_002630

A web-based hosting service for software development projects that use the Git revision control system offering powerful collaboration, code review, and code management. It offers both paid plans for private repositories, and free accounts for open source projects. Large or small, every repository comes with the same powerful tools. These tools are open to the community for public projects and secure for private projects. Features include: * Integrated issue tracking * Collaborative code review * Easily manage teams within organizations * Text entry with understated power * A growing list of programming languages and data formats * On the desktop and in your pocket - Android app and mobile web views let you keep track of your projects on the go.

View all literature mentions

CATALYST (tool)

RRID:SCR_017127

Software R package to provide pipeline for preprocessing of cytometry data, including normalization using bead standards, single cell deconvolution, and bead based compensation.

View all literature mentions

Ki-67 (8D5) Mouse mAb (antibody)

RRID:AB_2715512

This monoclonal targets Ki-67

View all literature mentions

Human Carbonic Anhydrase IX Affinity Purified Polyclonal Ab (antibody)

RRID:AB_416562

This polyclonal targets Human Carbonic Anhydrase IX Affinity Purified Ab

View all literature mentions

Purified anti-human CD66a/c/e (antibody)

RRID:AB_1626265

This monoclonal targets CD66a CD66c CD66e

View all literature mentions

Purified anti-human CD22 (antibody)

RRID:AB_314264

This monoclonal targets CD22

View all literature mentions

Anti-Human/Non-Human Primate CD8b Purified 25 ug (antibody)

RRID:AB_11043400

This monoclonal targets Human/Non-Human Primate CD8b Purified 25 ug

View all literature mentions

Purified anti-human CD45 (antibody)

RRID:AB_314390

This monoclonal targets CD45

View all literature mentions

Purified anti-human CD3 (antibody)

RRID:AB_314056

This monoclonal targets CD3

View all literature mentions

Purified anti-human HLA-DR (antibody)

RRID:AB_314680

This monoclonal targets HLA-DR

View all literature mentions

CD14-PC7, RMO52 (antibody)

RRID:AB_10639528

This monoclonal targets CD14

View all literature mentions

Purified anti-human CD16 (antibody)

RRID:AB_314202

This monoclonal targets CD16

View all literature mentions

Purified anti-human CD32 (antibody)

RRID:AB_314334

This monoclonal targets CD32

View all literature mentions

Purified anti-human CD99 (antibody)

RRID:AB_604112

This monoclonal targets CD99

View all literature mentions

Purified anti-human CD123 (antibody)

RRID:AB_314576

This monoclonal targets CD123

View all literature mentions

Purified anti-CD68 (antibody)

RRID:AB_2616797

This monoclonal targets CD68

View all literature mentions

Purified anti-human CD4 (antibody)

RRID:AB_314070

This monoclonal targets CD4

View all literature mentions

Purified anti-human CD68 (antibody)

RRID:AB_1089058

This monoclonal targets CD68

View all literature mentions

Purified anti-human CD23 (antibody)

RRID:AB_1279181

This monoclonal targets CD23

View all literature mentions

Purified anti-human CD64 (antibody)

RRID:AB_314486

This monoclonal targets CD64

View all literature mentions

Purified anti-human CD8a (antibody)

RRID:AB_314120

This monoclonal targets CD8a

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

Ilastik (software resource)

RRID:SCR_015246

Tool for interactive image classification, segmentation and analysis, built as a modular software framework, which currently has workflows for automated (supervised) pixel- and object-level classification, automated and semi-automated object tracking, semi-automated segmentation and object counting without detection.

View all literature mentions

Python Programming Language (software resource)

RRID:SCR_008394

Programming language for all operating systems that lets users work more quickly and integrate their systems more effectively. Often compared to Tcl, Perl, Ruby, Scheme or Java. Some of its key distinguishing features include very clear and readable syntax, strong introspection capabilities, intuitive object orientation, natural expression of procedural code, full modularity, exception-based error handling, high level dynamic data types, extensive standard libraries and third party modules for virtually every task, extensions and modules easily written in C, C (or Java for Python, or .NET languages for IronPython), and embeddable within applications as a scripting interface.

View all literature mentions

Cytobank (web application)

RRID:SCR_014043

A cloud-based platform which allows users to analyze, visualize, and archive multiparamter cytometry data for single-cell biology. Multiple single-cell data sets can be analyzed and visualized simultaneously with a variety of graphics, inlcuding Sunburst, SPADE, and viSNE. Users can store and back up related data such as protocols, microscopy images, and presentations and collaborate and share analysis and data sets with other Cytobank users. Cytobank also provides a variety of services and training sessions to assist with experiment workflow.

View all literature mentions

FlowJo (software resource)

RRID:SCR_008520

Software for single-cell flow cytometry analysis. Its functions include management, display, manipulation, analysis and publication of the data stream produced by flow and mass cytometers.

View all literature mentions