The talk by @andrewleduc.bsky.social at #SCP2025 is on YouTube:
Massively parallel sample preparation for multiplexed single-cell proteomics using nPOP.
Mentions
Extended reach
Total likes
Video views
Mentions per month
Nov 2023 – Sep 2025Where it's discussed
-
X / Twitter18 posts
-
YouTube8 videos
-
Bluesky5 posts
-
Facebook3 posts
-
Blogs3 articles
AI synopsis
What people are saying
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.
Most discussions express support or positive anticipation for the new method, highlighting its potential benefits.
Social discussions show high curiosity, with many posts referencing the method's technical details and implications.
Several posts actively analyze the methodology, mention upcoming data, or share links to presentations, indicating moderate deep engagement.
The consensus suggests that the community sees this development as a significant advancement with broad applications.
Abstract in brief
- 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
Top posts
Most liked on X and BlueskyMassively parallel sample preparation for multiplexed single-cell proteomics using nPOP https://t.co/FrVTNiCKGb --- #proteomics #prot-paper https://t.co/PXJE5eDnby
@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.
Massively parallel sample preparation for multiplexed single-cell proteomics using nPOP https://t.co/dRljOR5m3g --- #proteomics #prot-preprint https://t.co/GBhisslTel
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
Massively parallel sample preparation for multiplexed single-cell proteomics using nPOP. https://t.co/u4cMhLv8ga
All mentions
Advances in Proteomics: RNA Decoding and Embryo Cell Fate
This presentation from May 2024 highlights progress in proteomics, focusing on two discoveries: stable, abundant proteins resulting from alternate RNA decoding, and proteome asymmetry in early embryos, enhancing our…
Single-cell Mass Spectrometry Proteomics Data Acquisition and Analysis Techniques
Workshop on single-cell mass spectrometry proteomic data acquisition using plexDIA and timsTOF, with initial interpretation via QuantQC, held at SCP2024. Focuses on improving data quality by minimizing protein leakage…
Proteomics Insights: Single-Cell Variation and Molecular Mechanisms
This presentation explores proteome variation at the single-cell level and the underlying molecular mechanisms. It discusses progress in proteomics, analyzing over 1000 human samples, revealing significant amino acid…
Single Cell Quantification of Gene Expression in Mammalian Tissue
This presentation discusses how cell growth and protein degradation influence protein levels in mammalian tissues, highlighting the importance of these factors in gene expression regulation across different cell types…
Advancements in Single-Cell Proteomics Research
This presentation by Prof. Nikolai Slavov explores technological and biological advancements in single-cell proteomics, focusing on the implications of protein variation for biological functions. Conducted at…
Parallel Sample Preparation for Single-Cell Proteomics Using nPOP
This workshop covers highly parallel sample preparation for multiplexed single-cell proteomics using nPOP by Dr. Josh Cantlon at SCP2024. It introduces CellenOne for isolating single-cell samples for mass spectrometry…
Enhancing Single-Cell Proteomics: Techniques and Data Interpretation
Parallel Sample Preparation for Single-Cell Proteomics Using nPOP
This workshop covers highly parallel sample prep for multiplexed single-cell proteomics with nPOP by Dr. Josh Cantlon. It introduces CellenOne for isolating single cells for LCMS analysis, demonstrating processing over…
RT @SCP_meeting: The presentation by Dr. Andrew Leduc at #SCP2025: Quantification of gene expression control in a mammalian tissue at sing…
RT @SCP_meeting: The presentation by Dr. Andrew Leduc at #SCP2025: Quantification of gene expression control in a mammalian tissue at sing…
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
RT @slavov_n: @LabWelch Andrew @_AndrewLeduc talked about measuring protein synthesis and degradation rates in single cells at @SCP_meeting…
RT @slavov_n: @LabWelch Andrew @_AndrewLeduc talked about measuring protein synthesis and degradation rates in single cells at @SCP_meeting…
@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.
RT @SCP_meeting: The talk by Dr. Andrew Leduc (@_AndrewLeduc) at #SCP2025 is on YouTube: Quantification of gene expression control in a…
The talk by @andrewleduc.bsky.social at #SCP2025 is on YouTube:
RT @SCP_meeting: The talk by Dr. Andrew Leduc (@_AndrewLeduc) at #SCP2025 is on YouTube: Quantification of gene expression control in a…
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
@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
Massively parallel sample preparation for multiplexed single-cell proteomics using nPOP www.nature.com/artic... --- #proteomics #prot-paper
Massively parallel sample preparation for multiplexed single-cell proteomics using nPOP https://t.co/FrVTNiCKGb --- #proteomics #prot-paper https://t.co/PXJE5eDnby
(BioRxiv All) Massively parallel sample preparation for multiplexed single-cell proteomics using nPOP https://t.co/hlVkSFLjKY (RSS) #BioRxiv #MassSpecRSS https://t.co/UIVbKW7Rzm
Massively parallel sample preparation for multiplexed single-cell proteomics using nPOP. https://t.co/u4cMhLv8ga
Massively parallel sample preparation for multiplexed single-cell proteomics using nPOP https://t.co/hjHMUQpBQc
RT @PastelBio: Massively parallel sample preparation for multiplexed single-cell proteomics using nPOP https://t.co/dRljOR5m3g --- #proteo…
Massively parallel sample preparation for multiplexed single-cell proteomics using nPOP www.biorxiv.org/cont... --- #proteomics #prot-preprint
Massively parallel sample preparation for multiplexed single-cell proteomics using nPOP https://t.co/dRljOR5m3g --- #proteomics #prot-preprint https://t.co/GBhisslTel
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
Massively parallel sample preparation for multiplexed single-cell proteomics using nPOP https://t.co/r0NF8dCQgW #biorxiv_bioE
Massively parallel sample preparation for multiplexed single-cell proteomics using nPOP https://www.biorxiv.org/content/10.1101/2023.11.27.568927v1
Massively parallel sample preparation for multiplexed single-cell proteomics using nPOP https://www.biorxiv.org/content/10.1101/2023.11.27.568927v1