DO-MS: Data-Driven Optimization of Mass Spectrometry Methods.

R Gray Huffman, Albert Chen, Harrison Specht, Nikolai Slavov

June 2019

Synopsis of Social media discussions

Overall, the discussions reveal strong agreement and interest, with many posts praising DO-MS for its diagnostic capabilities and practical uses, such as identifying bottlenecks and optimizing sample prep, evidenced by phrases like 'diagnose problems' and 'great overview,' which reflect deep engagement and appreciation of its impact on proteomics research.

A
Agreement
 Moderate agreement

Most discussions express strong support or recognition of the publication's importance, especially with praise for the software platform and its applications.

I
Interest
 High level of interest

The majority of posts show high interest, discussing specific tools like DO-MS, and the potential for diagnostics and optimization in mass spectrometry.

E
Engagement
 Moderate level of engagement

Posts frequently reference detailed features of DO-MS, share guidelines, and suggest real-world applications, indicating active engagement.

I
Impact
 Moderate level of impact

The discussions highlight the significant influence of the publication and its tools on current research practices and community standards.

Social Mentions

YouTube

5 Videos

Facebook

2 Posts

Twitter

62 Posts

Metrics

Video Views

32,501

Total Likes

341

Extended Reach

543,137

Social Features

69

Timeline: Posts about article

Top Social Media Posts

Posts referencing the article

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Advances in Single-Cell Proteomics Sample Preparation for Mass Spectrometry

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2,715 views

Optimizing Single-Cell Proteomics with LC-MS/MS Techniques

Optimizing Single-Cell Proteomics with LC-MS/MS Techniques

Gray Huffman discusses experimental and computational methods for optimizing single-cell mass spec analysis, focusing on setting optimal parameters for improved sensitivity and accuracy in proteomics research.

Nikolai Slavov

June 20, 2019

1,920 views

  • Prof. Nikolai Slavov
    @slavov_n (Twitter)

    @VDBiology As you know, we use DIA & DIA-NN and find them very useful, though I still have a response to your last question: I would like DIA-NN to output features for DO-MS (https://t.co/RfjJHYV6fA) that help us easily diagnose and optimize sample prep and MS analysis.
    view full post

    September 23, 2021

    3

  • Prof. Nikolai Slavov
    @slavov_n (Twitter)

    @JohnRYatesIII Indeed, many of the invitations are from journals that I would not submit to, but some are from appropriate journals to which I would submit the paper. For example, I was invited to submit this paper https://t.co/RfjJHYDvo2 to Bioinformatics, which would have been a good venue.
    view full post

    June 10, 2021

    2

  • Northeastern University Bioengineering
    @NUBioE1 (Twitter)

    RT @slavov_n: Congratulation to @harrisonspecht for being selected a rising start by @JProteomeRes https://t.co/iVnJZFazgg Well deserved H…
    view full post

    February 1, 2021

    3

  • Sara Fonseca Costa
    @essepf (Twitter)

    RT @slavov_n: Congratulation to @harrisonspecht for being selected a rising start by @JProteomeRes https://t.co/iVnJZFazgg Well deserved H…
    view full post

    January 14, 2021

    3

  • Ed Emmott
    @edemmott (Twitter)

    RT @slavov_n: Congratulation to @harrisonspecht for being selected a rising start by @JProteomeRes https://t.co/iVnJZFazgg Well deserved H…
    view full post

    January 14, 2021

    3

  • Journal of Proteome Research
    @JProteomeRes (Twitter)

    RT @slavov_n: Congratulation to @harrisonspecht for being selected a rising start by @JProteomeRes https://t.co/iVnJZFazgg Well deserved H…
    view full post

    January 14, 2021

    3

  • Prof. Nikolai Slavov
    @slavov_n (Twitter)

    Congratulation to @harrisonspecht for being selected a rising start by @JProteomeRes https://t.co/iVnJZFazgg Well deserved Harrison! Check out some of his @JProteomeRes papers: https://t.co/LKOq5CA3rP https://t.co/RfjJHYV6fA https://t.co/peylTwJdyY
    view full post

    January 14, 2021

    19

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  • lbgbox
    @lbgbox (Twitter)

    RT @slavov_n: Another benchmarking study of the isobaric carrier in @naturemethods https://t.co/fYFGviN3Ch. The main conclusions align wi…
    view full post

    December 11, 2020

    1

  • Prof. Nikolai Slavov
    @slavov_n (Twitter)

    Another benchmarking study of the isobaric carrier in @naturemethods https://t.co/fYFGviN3Ch. The main conclusions align with previously discussed & demonstrated effects https://t.co/LKOq5CisAh https://t.co/RfjJHYDvo2 https://t.co/K78qaokhUY
    view full post

    December 10, 2020

    15

    1

  • Amit Kumar Yadav
    @theoneamit (Twitter)

    RT @slavov_n: The basics essential to know before starting research. They are simple & very important! More important than the more comple…
    view full post

    August 26, 2020

    1

  • Prof. Nikolai Slavov
    @slavov_n (Twitter)

    The basics essential to know before starting research. They are simple & very important! More important than the more complex science that will get mixed up and misrepresented if we don't know and follow these basic guidelines! https://t.co/Ax2mt2oDnK https://t.co/RfjJHYDvo2 https://t.co/3vl6LkrcAr
    view full post

    August 26, 2020

    8

    1

  • Andrew Leduc
    @_AndrewLeduc (Twitter)

    RT @slavov_n: @CMichaelRose @slavovLab @harrisonspecht @SCP_meeting This is exactly the effect that we described previously https://t.co/Rf…
    view full post

    August 25, 2020

    1

  • Prof. Nikolai Slavov
    @slavov_n (Twitter)

    @CMichaelRose @slavovLab @harrisonspecht @SCP_meeting This is exactly the effect that we described previously https://t.co/RfjJHYV6fA https://t.co/ILK0E1OvxE
    view full post

    August 25, 2020

    1

  • Slavov Laboratory
    @slavovLab (Twitter)

    Guidelines: 1. The size of the isobaric carrier should reflect the project priorities. 2. Evaluate whether the isobaric carrier affects peptide sampling, e.g., by using DO-MS https://t.co/H6YHASYKhZ & https://t.co/wBMtxNbqYD
    view full post

    August 24, 2020

  • Prof. Nikolai Slavov
    @slavov_n (Twitter)

    @ChasingMicrobes @astacus I think it depends on the case. I would certainly look at the search engine output, and run it through our usual pipelines, such as DO-MS https://t.co/RfjJHYDvo2 This takes only a few minutes and gives a great overview of the data. Can be more informative than reading the paper.
    view full post

    May 18, 2020

    1

  • Prof. Nikolai Slavov
    @slavov_n (Twitter)

    @BiswapriyaMisra @kabalak @dtabb73 I agree with @dtabb73 -- QC & precise diagnosis of bottlenecks is a big part of the solution. We do it with DO-MS https://t.co/RfjJHYDvo2 Another part is using robust options, e.g., manual loading on 10 um ID nLC may afford high peak performance but not high average performance.
    view full post

    April 28, 2020

    2

  • Andrea Petretto
    @Angrist_Fusion (Twitter)

    RT @slavovLab: @maxquant Thanks to @maxquant, DO-MS https://t.co/RfjJHYDvo2 makes it possible to specifically diagnose problems typically…
    view full post

    October 25, 2019

    2

  • Prof. Nikolai Slavov
    @slavov_n (Twitter)

    @maxquant Thanks to @maxquant, DO-MS https://t.co/RfjJHYDvo2 makes it possible to specifically diagnose problems typically manifested by nonspecific symptoms. https://t.co/grDDTt44W1
    view full post

    October 25, 2019

    2

    2

  • Pastel BioScience
    @PastelBio (Twitter)

    RT @kermitmurray: [ASAP] DO-MS: Data-Driven Optimization of Mass Spectrometry Methods https://t.co/sxsfd8J5pu
    view full post

    June 1, 2019

    1

  • Kermit Murray
    @kermitmurray (Twitter)

    [ASAP] DO-MS: Data-Driven Optimization of Mass Spectrometry Methods https://t.co/sxsfd8J5pu
    view full post

    June 1, 2019

    2

    1

  • Chris Trivedi
    @Chris_Trivedi (Twitter)

    RT @slavovLab: If you would like to use DO-MS https://t.co/RfjJHYV6fA, check out this guide by @atchen_: https://t.co/XfzdolJl1i https://t.…
    view full post

    May 30, 2019

    6

  • Aditya Bandla
    @adityabandla (Twitter)

    RT @slavovLab: If you would like to use DO-MS https://t.co/RfjJHYV6fA, check out this guide by @atchen_: https://t.co/XfzdolJl1i https://t.…
    view full post

    May 30, 2019

    6

  • Prof. Nikolai Slavov
    @slavov_n (Twitter)

    RT @slavovLab: If you would like to use DO-MS https://t.co/RfjJHYV6fA, check out this guide by @atchen_: https://t.co/XfzdolJl1i https://t.…
    view full post

    May 30, 2019

    6

  • Pastel BioScience
    @PastelBio (Twitter)

    DO-MS: Data-Driven Optimization of Mass Spectrometry Methods | https://t.co/YvYHxOinyI #proteomics https://t.co/El4L2If2Eo
    view full post

    May 29, 2019

    1

  • Edu Chicano (@educhicano@bsky.social)
    @educhicano (Twitter)

    "[ASAP] DO-MS: Data-Driven Optimization of Mass Spectrometry Methods" https://t.co/josMfuhA9J #proteomics
    view full post

    May 29, 2019

  • Pastel BioScience
    @PastelBio_prot (Twitter)

    [ASAP] DO-MS: Data-Driven Optimization of Mass Spectrometry Methods https://t.co/Ze5PO9uxW3
    view full post

    May 29, 2019

  • Andrea Petretto
    @Angrist_Fusion (Twitter)

    RT @slavovLab: If you would like to use DO-MS https://t.co/RfjJHYV6fA, check out this guide by @atchen_: https://t.co/XfzdolJl1i https://t.…
    view full post

    May 29, 2019

    6

  • BioMassSpec
    @realBioMassSpec (Twitter)

    DO-MS: Data-Driven Optimization of Mass Spectrometry Methods | Journal of Proteome Research https://t.co/XMQoZn1dcq
    view full post

    May 29, 2019

  • Ed Emmott
    @edemmott (Twitter)

    RT @slavovLab: If you would like to use DO-MS https://t.co/RfjJHYV6fA, check out this guide by @atchen_: https://t.co/XfzdolJl1i https://t.…
    view full post

    May 28, 2019

    6

  • Prof. Nikolai Slavov
    @slavov_n (Twitter)

    If you would like to use DO-MS https://t.co/RfjJHYV6fA, check out this guide by @atchen_: https://t.co/XfzdolJl1i https://t.co/mYfnjjL574
    view full post

    May 28, 2019

    8

    6

  • Dr. Biswapriya Misra
    @BiswapriyaMisra (Twitter)

    RT @slavovLab: DO-MS is now online at @JProteomeRes https://t.co/RfjJHYDvo2 This was a great team effort by @GrayHuffman, @atchen_ , @harri…
    view full post

    May 25, 2019

    5

  • Pastel BioScience
    @PastelBio (Twitter)

    DO-MS: Data-Driven Optimization of Mass Spectrometry Methods | https://t.co/YvYHxOinyI #proteomics @slavovLab https://t.co/rJJPxZojBP
    view full post

    May 20, 2019

  • Pastel BioScience
    @PastelBio (Twitter)

    RT @realBioMassSpec: DO-MS: Data-Driven Optimization of Mass Spectrometry Methods https://t.co/y6UuEuuqcF
    view full post

    May 15, 2019

    2

  • Joris Meurs
    @JorisMeurs (Twitter)

    RT @slavovLab: DO-MS is now online at @JProteomeRes https://t.co/RfjJHYDvo2 This was a great team effort by @GrayHuffman, @atchen_ , @harri…
    view full post

    May 14, 2019

    5

  • Eduardo Armienta
    @eduardoarmienta (Twitter)

    RT @realBioMassSpec: DO-MS: Data-Driven Optimization of Mass Spectrometry Methods https://t.co/y6UuEuuqcF
    view full post

    May 13, 2019

    2

  • Journal of Proteome Research
    @JProteomeRes (Twitter)

    RT @slavovLab: DO-MS is now online at @JProteomeRes https://t.co/RfjJHYDvo2 This was a great team effort by @GrayHuffman, @atchen_ , @harri…
    view full post

    May 13, 2019

    5

  • Albert Chen
    @atchen_ (Twitter)

    RT @slavovLab: DO-MS is now online at @JProteomeRes https://t.co/RfjJHYDvo2 This was a great team effort by @GrayHuffman, @atchen_ , @harri…
    view full post

    May 13, 2019

    5

  • BioMassSpec
    @realBioMassSpec (Twitter)

    DO-MS: Data-Driven Optimization of Mass Spectrometry Methods https://t.co/y6UuEuuqcF
    view full post

    May 13, 2019

    5

    2

  • ProteomicsScience
    @HFazelinia (Twitter)

    RT @slavovLab: DO-MS is now online at @JProteomeRes https://t.co/RfjJHYDvo2 This was a great team effort by @GrayHuffman, @atchen_ , @harri…
    view full post

    May 13, 2019

    5

  • Ed Emmott
    @edemmott (Twitter)

    RT @slavovLab: DO-MS is now online at @JProteomeRes https://t.co/RfjJHYDvo2 This was a great team effort by @GrayHuffman, @atchen_ , @harri…
    view full post

    May 13, 2019

    5

  • Prof. Nikolai Slavov
    @slavov_n (Twitter)

    DO-MS is now online at @JProteomeRes https://t.co/RfjJHYDvo2 This was a great team effort by @GrayHuffman, @atchen_ , @harrisonspecht Try it and let us know what you think. https://t.co/YiuKX2rHKv
    view full post

    May 13, 2019

    19

    5

  • Ahmed Mohamed
    @dataRtest (Twitter)

    RT @PastelBio: DO-MS: Data-Driven Optimization of Mass Spectrometry Methods | https://t.co/rz3Qez9EaO #proteomics @slavovLab https://t.co/9…
    view full post

    January 22, 2019

    3

  • BioMassSpec
    @realBioMassSpec (Twitter)

    RT @PastelBio: DO-MS: Data-Driven Optimization of Mass Spectrometry Methods | https://t.co/rz3Qez9EaO #proteomics @slavovLab https://t.co/9…
    view full post

    January 22, 2019

    3

  • Dunc Smith ///
    @duncoafc (Twitter)

    RT @PastelBio: DO-MS: Data-Driven Optimization of Mass Spectrometry Methods | https://t.co/rz3Qez9EaO #proteomics @slavovLab https://t.co/9…
    view full post

    January 22, 2019

    3

  • Pastel BioScience
    @PastelBio (Twitter)

    DO-MS: Data-Driven Optimization of Mass Spectrometry Methods | https://t.co/rz3Qez9EaO #proteomics @slavovLab https://t.co/9uKggGAU6d
    view full post

    January 22, 2019

    5

    3

  • BioNews
    @SingleCellNews (Twitter)

    RT @PastelBio: DO-MS: Data-Driven Optimization of Mass Spectrometry Methods | https://t.co/rz3Qez9EaO #proteomics @slavovLab https://t.co/q…
    view full post

    January 12, 2019

    1

  • Srikanth S. Manda
    @srithegreat143 (Twitter)

    RT @ProtifiLlc: DO-MS: Data-Driven Optimization of Mass Spectrometry Methods https://t.co/gPEamna2EB
    view full post

    January 8, 2019

    7

  • Adrian Jinich
    @champiDicty (Twitter)

    RT @ProtifiLlc: DO-MS: Data-Driven Optimization of Mass Spectrometry Methods https://t.co/gPEamna2EB
    view full post

    January 7, 2019

    7

  • Gary Siuzdak
    @kadzuis (Twitter)

    RT @ProtifiLlc: DO-MS: Data-Driven Optimization of Mass Spectrometry Methods https://t.co/gPEamna2EB
    view full post

    January 7, 2019

    7

  • annibal_ms
    @AnnibalMs (Twitter)

    RT @ProtifiLlc: DO-MS: Data-Driven Optimization of Mass Spectrometry Methods https://t.co/gPEamna2EB
    view full post

    January 7, 2019

    7

  • ProteomicsScience
    @HFazelinia (Twitter)

    RT @ProtifiLlc: DO-MS: Data-Driven Optimization of Mass Spectrometry Methods https://t.co/gPEamna2EB
    view full post

    January 7, 2019

    7

  • Vladislav Petyuk
    @vapetyuk (Twitter)

    RT @ProtifiLlc: DO-MS: Data-Driven Optimization of Mass Spectrometry Methods https://t.co/gPEamna2EB
    view full post

    January 7, 2019

    7

  • ProtiFi LLC
    @ProtifiLlc (Twitter)

    DO-MS: Data-Driven Optimization of Mass Spectrometry Methods https://t.co/gPEamna2EB
    view full post

    January 7, 2019

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  • Mark Borris Aldonza (@precursorcell.bsky.social
    @PrecursorCell (Twitter)

    RT @biorxiv_bioinfo: DO-MS: Data-Driven Optimization of Mass Spectrometry Methods https://t.co/cJ8FJ5KHln #biorxiv_bioinfo
    view full post

    January 7, 2019

    3

  • BioMassSpec
    @realBioMassSpec (Twitter)

    RT @biorxiv_bioinfo: DO-MS: Data-Driven Optimization of Mass Spectrometry Methods https://t.co/cJ8FJ5KHln #biorxiv_bioinfo
    view full post

    January 7, 2019

    3

  • Pastel BioScience
    @PastelBio (Twitter)

    DO-MS: Data-Driven Optimization of Mass Spectrometry Methods | https://t.co/rz3Qez9EaO #proteomics @slavovLab https://t.co/quDuceaIVh
    view full post

    January 7, 2019

    3

    1

  • SeqComplete
    @SeqComplete (Twitter)

    #BioIT #BioInformatics DO-MS: Data-Driven Optimization of Mass Spectrometry Methods [NEW RESULTS] https://t.co/23pB3x3lGD
    view full post

    January 7, 2019

  • Kamal (卡馬爾) (@kamalmdm.bsky.social)
    @KamalMdM (Twitter)

    DO-MS: Data-Driven Optimization of Mass Spectrometry Methods https://t.co/gipW1JSb0y
    view full post

    January 6, 2019

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  • bxv_bioinf
    @bxv_bioinf (Twitter)

    DO-MS: Data-Driven Optimization of Mass Spectrometry Methods https://t.co/Mhb13vdvzq
    view full post

    January 6, 2019

  • Helio Rocha
    @_elioRocha (Twitter)

    #bioRxiv DO-MS: Data-Driven Optimization of Mass Spectrometry Methods #bioinfo https://t.co/QTEQUcIfYV
    view full post

    January 6, 2019

  • bioRxiv Bioinfo
    @biorxiv_bioinfo (Twitter)

    DO-MS: Data-Driven Optimization of Mass Spectrometry Methods https://t.co/cJ8FJ5KHln #biorxiv_bioinfo
    view full post

    January 6, 2019

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  • bioRxiv
    @biorxivpreprint (Twitter)

    DO-MS: Data-Driven Optimization of Mass Spectrometry Methods https://t.co/SmyE5kgN4a #bioRxiv
    view full post

    January 6, 2019

    2

Abstract Synopsis

  • DOMS is a software platform designed to diagnose and optimize mass spectrometry methods, specifically in ultra-sensitive liquid chromatography and tandem mass spectrometry like single-cell proteomics.
  • It helps identify problems in the complex links between different stages of the analysis process and suggests improvements, leading to better data quality.
  • By using DOMS to optimize parameters such as ion sampling at peak apexes, researchers achieved a 370% increase in ion efficiency for MS2 analysis, making the process more effective.]