Massively parallel sample preparation for multiplexed single-cell proteomics using nPOP.

Andrew Leduc, Luke Khoury, Joshua Cantlon, Saad Khan, Nikolai Slavov

December 2024

Synopsis of Social media discussions

The discussions reflect a high level of enthusiasm about the nPOP method, with posts describing it as a 'game changer' and emphasizing its ability to process thousands of cells swiftly. The tone and choice of words like 'massively parallel' and 'preprint' demonstrate excitement and recognition of its potential impact on single-cell proteomics research.

A
Agreement
 Moderate agreement

Most discussions express support or positive anticipation for the new method, highlighting its potential benefits.

I
Interest
 High level of interest

Social discussions show high curiosity, with many posts referencing the method's technical details and implications.

E
Engagement
 Moderate level of engagement

Several posts actively analyze the methodology, mention upcoming data, or share links to presentations, indicating moderate deep engagement.

I
Impact
 High level of impact

The consensus suggests that the community sees this development as a significant advancement with broad applications.

Social Mentions

YouTube

8 Videos

Bluesky

5 Posts

Facebook

3 Posts

Twitter

18 Posts

Blogs

3 Articles

Metrics

Video Views

6,512

Total Likes

133

Extended Reach

92,285

Social Features

37

Timeline: Posts about article

Top Social Media Posts

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  • Andrew Leduc
    @_AndrewLeduc (Twitter)

    RT @SCP_meeting: The presentation by Dr. Andrew Leduc at #SCP2025: Quantification of gene expression control in a mammalian tissue at sing…
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    September 18, 2025

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  • Prof. Nikolai Slavov
    @slavov_n (Twitter)

    RT @SCP_meeting: The presentation by Dr. Andrew Leduc at #SCP2025: Quantification of gene expression control in a mammalian tissue at sing…
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    September 18, 2025

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  • Single-Cell Proteomics Conference
    @SCP_meeting (Twitter)

    The presentation by Dr. Andrew Leduc at #SCP2025: Quantification of gene expression control in a mammalian tissue at single cell resolution https://t.co/91Whhcuqng
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    September 18, 2025

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  • Juan Alvarez-@juanalvarezdom.bsky.social
    @JuanAlvarezDom (Twitter)

    RT @slavov_n: @LabWelch Andrew @_AndrewLeduc talked about measuring protein synthesis and degradation rates in single cells at @SCP_meeting…
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    July 23, 2025

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    RT @slavov_n: @LabWelch Andrew @_AndrewLeduc talked about measuring protein synthesis and degradation rates in single cells at @SCP_meeting…
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    July 21, 2025

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  • Prof. Nikolai Slavov
    @slavov_n (Twitter)

    @LabWelch Andrew @_AndrewLeduc talked about measuring protein synthesis and degradation rates in single cells at @SCP_meeting: https://t.co/WkNuX8R3ZH We are working on writing up these results soon, and will be happy to share the data with you.
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    July 18, 2025

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    @_AndrewLeduc (Twitter)

    RT @SCP_meeting: The talk by Dr. Andrew Leduc (@_AndrewLeduc) at #SCP2025 is on YouTube: Quantification of gene expression control in a…
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    June 23, 2025

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  • Slavov Laboratory
    @slavovlab.bsky.social (Bluesky)

    The talk by @andrewleduc.bsky.social at #SCP2025 is on YouTube:
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    June 11, 2025

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  • Prof. Nikolai Slavov
    @slavov_n (Twitter)

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    June 11, 2025

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  • Single-Cell Proteomics Conference
    @SCP_meeting (Twitter)

    The talk by Dr. Andrew Leduc (@_AndrewLeduc) at #SCP2025 is on YouTube: Quantification of gene expression control in a mammalian tissue at single cell resolution https://t.co/0QmvOkO2Qi
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    June 11, 2025

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    2

  • Ronnie Cutler
    @cutleraging (Twitter)

    @Nick_Schaum Using the TMT based multiplexing https://t.co/y5Qexeu1fQ. Churchill has shown that the correlation between protein and RNA decreases during aging. 10X multiome https://t.co/3BYCSQwI8V to decipher tx noise source Or 10X scNRA w/ long reads for stochastic splicing dysreg
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    November 1, 2024

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    @pastelbio.bsky.social (Bluesky)

    Massively parallel sample preparation for multiplexed single-cell proteomics using nPOP www.nature.com/artic... --- #proteomics #prot-paper
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    August 10, 2024

  • Pastel BioScience
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    Massively parallel sample preparation for multiplexed single-cell proteomics using nPOP https://t.co/FrVTNiCKGb --- #proteomics #prot-paper https://t.co/PXJE5eDnby
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    August 10, 2024

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  • Kermit Murray
    @kermitmurray (Twitter)

    (BioRxiv All) Massively parallel sample preparation for multiplexed single-cell proteomics using nPOP https://t.co/hlVkSFLjKY (RSS) #BioRxiv #MassSpecRSS https://t.co/UIVbKW7Rzm
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    December 21, 2023

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    @Brian74534732 (Twitter)

    Massively parallel sample preparation for multiplexed single-cell proteomics using nPOP. https://t.co/u4cMhLv8ga
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    December 16, 2023

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    Massively parallel sample preparation for multiplexed single-cell proteomics using nPOP https://t.co/hjHMUQpBQc
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    December 11, 2023

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  • Mass-spec@RIKEN BDR KOBE
    @bdr_massspec (Twitter)

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  • PastelBio
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  • Pastel BioScience
    @PastelBio (Twitter)

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  • MD BABU MIA, PHD
    @BabuuDx (Twitter)

    Great preprint of "Massively parallel sample preparation for multiplexed single-cell proteomics using nPOP" from @slavovLab Look at the figure 5! https://t.co/JYGRzKDR7S
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  • bioRxiv Bioengineering
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    @biorxiv-bioeng.bsky.social (Bluesky)

    Massively parallel sample preparation for multiplexed single-cell proteomics using nPOP https://www.biorxiv.org/content/10.1101/2023.11.27.568927v1
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Abstract Synopsis

  • Single-cell proteomics using mass spectrometry enables precise protein quantification, and a new method called nano-proteomic sample preparation (nPOP) allows for the simultaneous preparation of thousands of single cells in tiny droplets on glass slides.
  • The nPOP protocol is flexible for different multiplexed mass spectrometry techniques, showcasing the ability to accurately quantify 3,000-3,700 proteins per human cell using plexDIA, and analyze over 1,800 single cells daily with isobaric mass tags.
  • Implemented with the CellenONE robot and common consumables, nPOP can process >3,000 single cells in 1-2 days, and the QuantQC R package aids in quality control and