July 2020 PMID 31244854

Development of a Comprehensive Antibody Staining Database Using a Standardized Analytics Pipeline.

El-Ad David Amir, Brian Lee, Paul Badoual, Martin Gordon, Xinzheng V Guo, Miriam Merad, Adeeb H Rahman

Mentions

17
Peak: 5 in Oct 2019
across 2 sources since Feb 2019

Extended reach

153,363
potential audience

Total likes

19

Video views

845

Mentions per month

Feb 2019 – Jul 2020

Where it's discussed

  • X / Twitter14 posts
  • YouTube3 videos

AI synopsis

What people are saying

The discussions reflect the publication's impact by emphasizing its role in streamlining large-scale cytometry experiments; for instance, mentions of file size reduction techniques and benchmarking methods show technical engagement, while references to the online database and automated workflows highlight its potential to transform immune monitoring practices.

AgreementModerate agreement

Most discussions acknowledge the publication's importance in advancing immune monitoring tools and automated workflows.

InterestHigh interest

Posts demonstrate high curiosity about data storage, experimental techniques, and implications for research.

EngagementModerate engagement

Comments include technical details, questions about benchmarking methods, and references to data analysis procedures, showing active participation.

ImpactHigh impact

The discussions highlight the potential of the database and pipeline to improve mass cytometry research and clinical applications, indicating a significant influence.

Abstract in brief

  • The article describes the development of a standardized, automated workflow for large-scale mass cytometry experiments aimed at improving immune monitoring in clinical trials, including a two-step barcoding process and a cloud-based analysis platform.
  • The workflow was tested on a large antibody screening using the LEGENDScreen kit, generating detailed data for 350 antibodies across multiple cell subsets, which confirmed known immune system trends and identified potential new markers like those for MAIT cells.
  • The study also examined how fixing cells affects staining results, finding that fixation can either increase or decrease marker signals, and produced an online database to help researchers design and interpret mass cytometry experiments more effectively.]

Top posts

Most liked on X and Bluesky
Cytof Manchester
@ManchesterCytof · X

Frontiers | Development of a Comprehensive Antibody Staining Database Using a Standardized Analytics Pipeline | Immunology #cytofpub https://t.co/P3XaBuGOgo

Jul 1, 2019 · 4 likes · 3 shares · 554 followers View post →
Cytof Manchester
@ManchesterCytof · X

Development of a Comprehensive Antibody Staining Database using a Standardized Analytics Pipeline #cytofpub @BioLegend #LEGENDscreen https://t.co/Q97OQ6C39E

Mar 4, 2019 · 2 likes · 1 share · 554 followers View post →
Astrolabe Diagnostics, Inc.
@astrolabediag · X

How do we benchmark automated tools for labeling the different cell subsets? Here is one of the synthetic data sets that Astrolabe uses when testing our platform. https://t.co/BNM2u3kCoi #Cytometry #CyTOF #ImmuneMonitoring #FlowJo

Oct 2, 2019 · 2 likes · 1 share · 149 followers View post →
bioRxiv Immunology
@biorxiv_immuno · X

Development of a Comprehensive Antibody Staining Database using a Standardized Analytics Pipeline https://t.co/AUoSoEfGfm #biorxiv_immuno

Feb 28, 2019 · 1 like · 10,604 followers View post →
bioRxiv
@biorxivpreprint · X

Development of a Comprehensive Antibody Staining Database using a Standardized Analytics Pipeline https://t.co/yG4WbPT4TH #bioRxiv

Feb 28, 2019 · 136,896 followers View post →
Thomas Ashhurst
@TomAsh_1 · X

RT @ManchesterCytof: Frontiers | Development of a Comprehensive Antibody Staining Database Using a Standardized Analytics Pipeline | Immuno…

Jul 2, 2019 · 3 shares · 1,324 followers View post →

All mentions

NK papers
@NK_papers · X

Development of a Comprehensive Antibody Staining Database Using a Standardized Analytics Pipeline. by Amir ED, Lee B, Badoual P, Gordon M, Guo XV, Merad M, Rahman AH https://t.co/RgzhqzHj4E

Jul 17, 2020 · 1,284 followers View post →
Astrolabe Diagnostics, Inc.
@astrolabediag · X

I've been seeing a lot of file transfer issues with #CyTOF data over the past month. Just a reminder that you can shrink the file size by 66%, learn more here https://t.co/SOmNv7x3x3 #SingleCells #MassCytometry

Jun 25, 2020 · 149 followers View post →
Astrolabe Diagnostics, Inc.
@astrolabediag · X

Passing a #MassCytometry FCS file through an R script, Matlab script, or other software will shrink its size by over 50%. I recorded a brief video where I explain why this happens and the ramifications for your experiment and FCS data storage: https://t.co/3Joq54Uv7h

Oct 16, 2019 · 149 followers View post →
Astrolabe Diagnostics, Inc.
@astrolabediag · X

How do we benchmark automated tools for labeling the different cell subsets? Here is one of the synthetic data sets that Astrolabe uses when testing our platform. https://t.co/BNM2u3kCoi #Cytometry #CyTOF #ImmuneMonitoring #FlowJo

Oct 2, 2019 · 2 likes · 1 share · 149 followers View post →
Guojun Han
@GuojunHan · X

RT @ManchesterCytof: Frontiers | Development of a Comprehensive Antibody Staining Database Using a Standardized Analytics Pipeline | Immuno…

Jul 6, 2019 · 3 shares · 143 followers View post →
Ran Wei
@RanWei_Biology · X

RT @ManchesterCytof: Frontiers | Development of a Comprehensive Antibody Staining Database Using a Standardized Analytics Pipeline | Immuno…

Jul 5, 2019 · 3 shares · 22 followers View post →
Thomas Ashhurst
@TomAsh_1 · X

RT @ManchesterCytof: Frontiers | Development of a Comprehensive Antibody Staining Database Using a Standardized Analytics Pipeline | Immuno…

Jul 2, 2019 · 3 shares · 1,324 followers View post →
Cytof Manchester
@ManchesterCytof · X

Frontiers | Development of a Comprehensive Antibody Staining Database Using a Standardized Analytics Pipeline | Immunology #cytofpub https://t.co/P3XaBuGOgo

Jul 1, 2019 · 4 likes · 3 shares · 554 followers View post →
CMCA Cytometry
@CMCACytometry · X

Development of a Comprehensive Antibody Staining Database using a Standardized Analytics Pipeline https://t.co/ZMh26iNiji

Mar 14, 2019 · 103 followers View post →
BIOCOM Africa
@biocomafricarsa · X

RT @ManchesterCytof: Development of a Comprehensive Antibody Staining Database using a Standardized Analytics Pipeline #cytofpub @BioLegend…

Mar 5, 2019 · 1 share · 118 followers View post →
Cytof Manchester
@ManchesterCytof · X

Development of a Comprehensive Antibody Staining Database using a Standardized Analytics Pipeline #cytofpub @BioLegend #LEGENDscreen https://t.co/Q97OQ6C39E

Mar 4, 2019 · 2 likes · 1 share · 554 followers View post →
bxv_imm
@bxv_imm · X

Development of a Comprehensive Antibody Staining Database using a Standardized Analytics Pipeline https://t.co/9XAeChVQXa

Mar 1, 2019 · 440 followers View post →
bioRxiv Immunology
@biorxiv_immuno · X

Development of a Comprehensive Antibody Staining Database using a Standardized Analytics Pipeline https://t.co/AUoSoEfGfm #biorxiv_immuno

Feb 28, 2019 · 1 like · 10,604 followers View post →
bioRxiv
@biorxivpreprint · X

Development of a Comprehensive Antibody Staining Database using a Standardized Analytics Pipeline https://t.co/yG4WbPT4TH #bioRxiv

Feb 28, 2019 · 136,896 followers View post →