Literature DB >> 33288958

Defining the carrier proteome limit for single-cell proteomics.

Tommy K Cheung1, Chien-Yun Lee2, Florian P Bayer2, Atticus McCoy1, Bernhard Kuster3,4,5, Christopher M Rose6.   

Abstract

Single-cell proteomics by mass spectrometry (SCoPE-MS) is a recently introduced method to quantify multiplexed single-cell proteomes. While this technique has generated great excitement, the underlying technologies (isobaric labeling and mass spectrometry (MS)) have technical limitations with the potential to affect data quality and biological interpretation. These limitations are particularly relevant when a carrier proteome, a sample added at 25-500× the amount of a single-cell proteome, is used to enable peptide identifications. Here we perform controlled experiments with increasing carrier proteome amounts and evaluate quantitative accuracy, as it relates to mass analyzer dynamic range, multiplexing level and number of ions sampled. We demonstrate that an increase in carrier proteome level requires a concomitant increase in the number of ions sampled to maintain quantitative accuracy. Lastly, we introduce Single-Cell Proteomics Companion (SCPCompanion), a software tool that enables rapid evaluation of single-cell proteomic data and recommends instrument and data analysis parameters for improved data quality.

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Year:  2020        PMID: 33288958     DOI: 10.1038/s41592-020-01002-5

Source DB:  PubMed          Journal:  Nat Methods        ISSN: 1548-7091            Impact factor:   47.990


  1 in total

1.  Single Amino Acid Variant Discovery in Small Numbers of Cells.

Authors:  Zhijing Tan; Xinpei Yi; Nicholas J Carruthers; Paul M Stemmer; David M Lubman
Journal:  J Proteome Res       Date:  2018-11-21       Impact factor: 4.466

  1 in total
  28 in total

1.  Optimized data-independent acquisition approach for proteomic analysis at single-cell level.

Authors:  Yuefan Wang; Tung-Shing Mamie Lih; Lijun Chen; Yuanwei Xu; Morgan D Kuczler; Liwei Cao; Kenneth J Pienta; Sarah R Amend; Hui Zhang
Journal:  Clin Proteomics       Date:  2022-07-09       Impact factor: 5.000

Review 2.  Paving the Way: Contributions of Big Data to Apicomplexan and Kinetoplastid Research.

Authors:  Robyn S Kent; Emma M Briggs; Beatrice L Colon; Catalina Alvarez; Sara Silva Pereira; Mariana De Niz
Journal:  Front Cell Infect Microbiol       Date:  2022-06-06       Impact factor: 6.073

3.  Label-Free Profiling of up to 200 Single-Cell Proteomes per Day Using a Dual-Column Nanoflow Liquid Chromatography Platform.

Authors:  Kei G I Webber; Thy Truong; S Madisyn Johnston; Sebastian E Zapata; Yiran Liang; Jacob M Davis; Alexander D Buttars; Fletcher B Smith; Hailey E Jones; Arianna C Mahoney; Richard H Carson; Andikan J Nwosu; Jacob L Heninger; Andrey V Liyu; Gregory P Nordin; Ying Zhu; Ryan T Kelly
Journal:  Anal Chem       Date:  2022-04-06       Impact factor: 8.008

4.  MIMAS: microfluidic platform in tandem with MALDI mass spectrometry for protein quantification from small cell ensembles.

Authors:  Jorvani Cruz Villarreal; Rory Kruithoff; Ana Egatz-Gomez; Paul D Coleman; Robert Ros; Todd R Sandrin; Alexandra Ros
Journal:  Anal Bioanal Chem       Date:  2022-04-06       Impact factor: 4.478

Review 5.  Multi-Omics Approaches to Define Calcific Aortic Valve Disease Pathogenesis.

Authors:  Mark C Blaser; Simon Kraler; Thomas F Lüscher; Elena Aikawa
Journal:  Circ Res       Date:  2021-04-29       Impact factor: 17.367

Review 6.  Understanding the Adult Mammalian Heart at Single-Cell RNA-Seq Resolution.

Authors:  Ernesto Marín-Sedeño; Xabier Martínez de Morentin; Jose M Pérez-Pomares; David Gómez-Cabrero; Adrián Ruiz-Villalba
Journal:  Front Cell Dev Biol       Date:  2021-05-12

7.  Ovalbumin Antigen-Specific Activation of Human T Cell Receptor Closely Resembles Soluble Antibody Stimulation as Revealed by BOOST Phosphotyrosine Proteomics.

Authors:  Xien Yu Chua; Arthur Salomon
Journal:  J Proteome Res       Date:  2021-05-21       Impact factor: 5.370

8.  Quantitative single-cell proteomics as a tool to characterize cellular hierarchies.

Authors:  Erwin M Schoof; Benjamin Furtwängler; Nil Üresin; Nicolas Rapin; Simonas Savickas; Coline Gentil; Eric Lechman; Ulrich Auf dem Keller; John E Dick; Bo T Porse
Journal:  Nat Commun       Date:  2021-06-07       Impact factor: 14.919

9.  Ultrasensitive single-cell proteomics workflow identifies >1000 protein groups per mammalian cell.

Authors:  Yongzheng Cong; Khatereh Motamedchaboki; Santosh A Misal; Yiran Liang; Amanda J Guise; Thy Truong; Romain Huguet; Edward D Plowey; Ying Zhu; Daniel Lopez-Ferrer; Ryan T Kelly
Journal:  Chem Sci       Date:  2020-11-17       Impact factor: 9.825

Review 10.  Evaluation of the Sensitivity of Proteomics Methods Using the Absolute Copy Number of Proteins in a Single Cell as a Metric.

Authors:  Benjamin C Orsburn
Journal:  Proteomes       Date:  2021-07-20
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