Literature DB >> 29522331

Accurate, Sensitive, and Precise Multiplexed Proteomics Using the Complement Reporter Ion Cluster.

Matthew Sonnett1, Eyan Yeung1, Martin Wühr1.   

Abstract

Quantitative analysis of proteomes across multiple time points, organelles, and perturbations is essential for understanding both fundamental biology and disease states. The development of isobaric tags (e.g., TMT) has enabled the simultaneous measurement of peptide abundances across several different conditions. These multiplexed approaches are promising in principle because of advantages in throughput and measurement quality. However, in practice, existing multiplexing approaches suffer from key limitations. In its simple implementation (TMT-MS2), measurements are distorted by chemical noise leading to poor measurement accuracy. The current state-of-the-art (TMT-MS3) addresses this but requires specialized quadrupole-iontrap-Orbitrap instrumentation. The complement reporter ion approach (TMTc) produces high accuracy measurements and is compatible with many more instruments, like quadrupole-Orbitraps. However, the required deconvolution of the TMTc cluster leads to poor measurement precision. Here, we introduce TMTc+, which adds the modeling of the MS2-isolation step into the deconvolution algorithm. The resulting measurements are comparable in precision to TMT-MS3/MS2. The improved duty cycle and lower filtering requirements make TMTc+ more sensitive than TMT-MS3 and comparable with TMT-MS2. At the same time, unlike TMT-MS2, TMTc+ is exquisitely able to distinguish signal from chemical noise even outperforming TMT-MS3. Lastly, we compare TMTc+ to quantitative label-free proteomics of total HeLa lysate and find that TMTc+ quantifies 7.8k versus 3.9k proteins in a 5-plex sample. At the same time, the median coefficient of variation improves from 13% to 4%. Thus, TMTc+ advances quantitative proteomics by enabling accurate, sensitive, and precise multiplexed experiments on more commonly used instruments.

Entities:  

Year:  2018        PMID: 29522331      PMCID: PMC6220677          DOI: 10.1021/acs.analchem.7b04713

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  23 in total

1.  Filter diagonalization method-based mass spectrometry for molecular and macromolecular structure analysis.

Authors:  Anton N Kozhinov; Yury O Tsybin
Journal:  Anal Chem       Date:  2012-03-08       Impact factor: 6.986

2.  A Strategy to Combine Sample Multiplexing with Targeted Proteomics Assays for High-Throughput Protein Signature Characterization.

Authors:  Brian K Erickson; Christopher M Rose; Craig R Braun; Alison R Erickson; Jeffrey Knott; Graeme C McAlister; Martin Wühr; Joao A Paulo; Robert A Everley; Steven P Gygi
Journal:  Mol Cell       Date:  2017-01-05       Impact factor: 17.970

3.  One-hour proteome analysis in yeast.

Authors:  Alicia L Richards; Alexander S Hebert; Arne Ulbrich; Derek J Bailey; Emma E Coughlin; Michael S Westphall; Joshua J Coon
Journal:  Nat Protoc       Date:  2015-04-09       Impact factor: 13.491

4.  Charge state coalescence during electrospray ionization improves peptide identification by tandem mass spectrometry.

Authors:  Jesse G Meyer; Elizabeth A Komives
Journal:  J Am Soc Mass Spectrom       Date:  2012-05-18       Impact factor: 3.109

5.  DMSO enhances electrospray response, boosting sensitivity of proteomic experiments.

Authors:  Hannes Hahne; Fiona Pachl; Benjamin Ruprecht; Stefan K Maier; Susan Klaeger; Dominic Helm; Guillaume Médard; Matthias Wilm; Simone Lemeer; Bernhard Kuster
Journal:  Nat Methods       Date:  2013-08-25       Impact factor: 28.547

6.  Gas-phase purification enables accurate, multiplexed proteome quantification with isobaric tagging.

Authors:  Craig D Wenger; M Violet Lee; Alexander S Hebert; Graeme C McAlister; Douglas H Phanstiel; Michael S Westphall; Joshua J Coon
Journal:  Nat Methods       Date:  2011-10-02       Impact factor: 28.547

7.  MS3 eliminates ratio distortion in isobaric multiplexed quantitative proteomics.

Authors:  Lily Ting; Ramin Rad; Steven P Gygi; Wilhelm Haas
Journal:  Nat Methods       Date:  2011-10-02       Impact factor: 28.547

8.  A mass-tolerant database search identifies a large proportion of unassigned spectra in shotgun proteomics as modified peptides.

Authors:  Joel M Chick; Deepak Kolippakkam; David P Nusinow; Bo Zhai; Ramin Rad; Edward L Huttlin; Steven P Gygi
Journal:  Nat Biotechnol       Date:  2015-06-15       Impact factor: 54.908

9.  MultiNotch MS3 enables accurate, sensitive, and multiplexed detection of differential expression across cancer cell line proteomes.

Authors:  Graeme C McAlister; David P Nusinow; Mark P Jedrychowski; Martin Wühr; Edward L Huttlin; Brian K Erickson; Ramin Rad; Wilhelm Haas; Steven P Gygi
Journal:  Anal Chem       Date:  2014-07-03       Impact factor: 8.008

10.  Accurate proteome-wide label-free quantification by delayed normalization and maximal peptide ratio extraction, termed MaxLFQ.

Authors:  Jürgen Cox; Marco Y Hein; Christian A Luber; Igor Paron; Nagarjuna Nagaraj; Matthias Mann
Journal:  Mol Cell Proteomics       Date:  2014-06-17       Impact factor: 5.911

View more
  28 in total

1.  Bayesian Confidence Intervals for Multiplexed Proteomics Integrate Ion-statistics with Peptide Quantification Concordance.

Authors:  Leonid Peshkin; Meera Gupta; Lillia Ryazanova; Martin Wühr
Journal:  Mol Cell Proteomics       Date:  2019-07-16       Impact factor: 5.911

2.  Quantitative Proteomics Reveals Remodeling of Protein Repertoire Across Life Phases of Daphnia pulex.

Authors:  Leonid Peshkin; Myriam Boukhali; Wilhelm Haas; Marc W Kirschner; Lev Y Yampolsky
Journal:  Proteomics       Date:  2019-12-10       Impact factor: 3.984

3.  The gain-of-function allele bamA E470K bypasses the essential requirement for BamD in β-barrel outer membrane protein assembly.

Authors:  Elizabeth M Hart; Meera Gupta; Martin Wühr; Thomas J Silhavy
Journal:  Proc Natl Acad Sci U S A       Date:  2020-07-16       Impact factor: 11.205

Review 4.  Proteomics of nucleocytoplasmic partitioning.

Authors:  Thao Nguyen; Nishant Pappireddi; Martin Wühr
Journal:  Curr Opin Chem Biol       Date:  2018-11-23       Impact factor: 8.822

Review 5.  Sample Multiplexing Strategies in Quantitative Proteomics.

Authors:  Albert B Arul; Renã A S Robinson
Journal:  Anal Chem       Date:  2018-12-18       Impact factor: 6.986

6.  Comparative Analysis of Quantitative Mass Spectrometric Methods for Subcellular Proteomics.

Authors:  Abla Tannous; Marielle Boonen; Haiyan Zheng; Caifeng Zhao; Colin J Germain; Dirk F Moore; David E Sleat; Michel Jadot; Peter Lobel
Journal:  J Proteome Res       Date:  2020-03-05       Impact factor: 4.466

Review 7.  Strategies for mass spectrometry-based phosphoproteomics using isobaric tagging.

Authors:  Xinyue Liu; Rose Fields; Devin K Schweppe; Joao A Paulo
Journal:  Expert Rev Proteomics       Date:  2021-10-28       Impact factor: 3.940

8.  Activity-based RNA-modifying enzyme probing reveals DUS3L-mediated dihydrouridylation.

Authors:  Wei Dai; Ang Li; Nathan J Yu; Thao Nguyen; Robert W Leach; Martin Wühr; Ralph E Kleiner
Journal:  Nat Chem Biol       Date:  2021-09-23       Impact factor: 15.040

Review 9.  A Review on Quantitative Multiplexed Proteomics.

Authors:  Nishant Pappireddi; Lance Martin; Martin Wühr
Journal:  Chembiochem       Date:  2019-04-18       Impact factor: 3.164

Review 10.  Advances in quantitative high-throughput phosphoproteomics with sample multiplexing.

Authors:  Joao A Paulo; Devin K Schweppe
Journal:  Proteomics       Date:  2021-03-30       Impact factor: 3.984

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.