Literature DB >> 28724286

Deep-Dive Targeted Quantification for Ultrasensitive Analysis of Proteins in Nondepleted Human Blood Plasma/Serum and Tissues.

Song Nie1, Tujin Shi1, Thomas L Fillmore1, Athena A Schepmoes1, Heather Brewer1, Yuqian Gao1, Ehwang Song1, Hui Wang1, Karin D Rodland1, Wei-Jun Qian1, Richard D Smith1, Tao Liu1.   

Abstract

Mass spectrometry-based targeted proteomics (e.g., selected reaction monitoring, SRM) is emerging as an attractive alternative to immunoassays for protein quantification. Recently we have made significant progress in SRM sensitivity for enabling quantification of low nanograms per milliliter to sub-naograms per milliliter level proteins in nondepleted human blood plasma/serum without affinity enrichment. However, precise quantification of extremely low abundance proteins (e.g., ≤ 100 pg/mL in blood plasma/serum) using targeted proteomics approaches still remains challenging, especially for these samples without available antibodies for enrichment. To address this need, we have developed an antibody-independent deep-dive SRM (DD-SRM) approach that capitalizes on multidimensional high-resolution reversed-phase liquid chromatography (LC) separation for target peptide separation and enrichment combined with precise selection of target peptide fractions of interest, significantly improving SRM sensitivity by ∼5 orders of magnitude when compared to conventional LC-SRM. Application of DD-SRM to human serum and tissue provides precise quantification of endogenous proteins at the ∼10 pg/mL level in nondepleted serum and at <10 copies per cell level in tissue. Thus, DD-SRM holds great promise for precisely measuring extremely low abundance proteins or protein modifications, especially when high-quality antibodies are not available.

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Year:  2017        PMID: 28724286      PMCID: PMC5627997          DOI: 10.1021/acs.analchem.7b01878

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


  33 in total

1.  Antibody-free, targeted mass-spectrometric approach for quantification of proteins at low picogram per milliliter levels in human plasma/serum.

Authors:  Tujin Shi; Thomas L Fillmore; Xuefei Sun; Rui Zhao; Athena A Schepmoes; Mahmud Hossain; Fang Xie; Si Wu; Jong-Seo Kim; Nathan Jones; Ronald J Moore; Ljiljana Pasa-Tolić; Jacob Kagan; Karin D Rodland; Tao Liu; Keqi Tang; David G Camp; Richard D Smith; Wei-Jun Qian
Journal:  Proc Natl Acad Sci U S A       Date:  2012-09-04       Impact factor: 11.205

2.  Long-gradient separations coupled with selected reaction monitoring for highly sensitive, large scale targeted protein quantification in a single analysis.

Authors:  Tujin Shi; Thomas L Fillmore; Yuqian Gao; Rui Zhao; Jintang He; Athena A Schepmoes; Carrie D Nicora; Chaochao Wu; Justin L Chambers; Ronald J Moore; Jacob Kagan; Sudhir Srivastava; Alvin Y Liu; Karin D Rodland; Tao Liu; David G Camp; Richard D Smith; Wei-Jun Qian
Journal:  Anal Chem       Date:  2013-09-19       Impact factor: 6.986

3.  Elevated levels of interleukin-8 in serum are associated with hepatitis C virus infection and resistance to interferon therapy.

Authors:  S J Polyak; K S Khabar; M Rezeiq; D R Gretch
Journal:  J Virol       Date:  2001-07       Impact factor: 5.103

4.  Full dynamic range proteome analysis of S. cerevisiae by targeted proteomics.

Authors:  Paola Picotti; Bernd Bodenmiller; Lukas N Mueller; Bruno Domon; Ruedi Aebersold
Journal:  Cell       Date:  2009-08-06       Impact factor: 41.582

5.  Quantification of cardiovascular biomarkers in patient plasma by targeted mass spectrometry and stable isotope dilution.

Authors:  Hasmik Keshishian; Terri Addona; Michael Burgess; D R Mani; Xu Shi; Eric Kuhn; Marc S Sabatine; Robert E Gerszten; Steven A Carr
Journal:  Mol Cell Proteomics       Date:  2009-07-13       Impact factor: 5.911

6.  Targeted quantification of low ng/mL level proteins in human serum without immunoaffinity depletion.

Authors:  Tujin Shi; Xuefei Sun; Yuqian Gao; Thomas L Fillmore; Athena A Schepmoes; Rui Zhao; Jintang He; Ronald J Moore; Jacob Kagan; Karin D Rodland; Tao Liu; Alvin Y Liu; Richard D Smith; Keqi Tang; David G Camp; Wei-Jun Qian
Journal:  J Proteome Res       Date:  2013-06-13       Impact factor: 4.466

7.  Identification of a Set of Conserved Eukaryotic Internal Retention Time Standards for Data-independent Acquisition Mass Spectrometry.

Authors:  Sarah J Parker; Hannes Rost; George Rosenberger; Ben C Collins; Lars Malmström; Dario Amodei; Vidya Venkatraman; Koen Raedschelders; Jennifer E Van Eyk; Ruedi Aebersold
Journal:  Mol Cell Proteomics       Date:  2015-07-21       Impact factor: 5.911

8.  Enhanced sensitivity and multiplexing with 2D LC/MRM-MS and labeled standards for deeper and more comprehensive protein quantitation.

Authors:  Andrew J Percy; Romain Simon; Andrew G Chambers; Christoph H Borchers
Journal:  J Proteomics       Date:  2014-04-24       Impact factor: 4.044

9.  Quantitative analysis of single amino acid variant peptides associated with pancreatic cancer in serum by an isobaric labeling quantitative method.

Authors:  Song Nie; Haidi Yin; Zhijing Tan; Michelle A Anderson; Mack T Ruffin; Diane M Simeone; David M Lubman
Journal:  J Proteome Res       Date:  2014-11-24       Impact factor: 4.466

10.  Glycoprotein biomarker panel for pancreatic cancer discovered by quantitative proteomics analysis.

Authors:  Song Nie; Andy Lo; Jing Wu; Jianhui Zhu; Zhijing Tan; Diane M Simeone; Michelle A Anderson; Kerby A Shedden; Mack T Ruffin; David M Lubman
Journal:  J Proteome Res       Date:  2014-03-10       Impact factor: 4.466

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  8 in total

1.  The role of proteomics in assessing beta-cell dysfunction and death in type 1 diabetes.

Authors:  Ernesto S Nakayasu; Wei-Jun Qian; Carmella Evans-Molina; Raghavendra G Mirmira; Decio L Eizirik; Thomas O Metz
Journal:  Expert Rev Proteomics       Date:  2019-06-24       Impact factor: 3.940

2.  Detailed Method for Performing the ExSTA Approach in Quantitative Bottom-Up Plasma Proteomics.

Authors:  Andrew J Percy; Christoph H Borchers
Journal:  Methods Mol Biol       Date:  2021

3.  FRACPRED-2D-PRM: A Fraction Prediction Algorithm-Assisted 2D Liquid Chromatography-Based Parallel Reaction Monitoring-Mass Spectrometry Approach for Measuring Low-Abundance Proteins in Human Plasma.

Authors:  Jian Shi; Jingcheng Xiao; Jiapeng Li; Xinwen Wang; Lucy Her; Matthew J Sorensen; Hao-Jie Zhu
Journal:  Proteomics       Date:  2020-11-03       Impact factor: 3.984

Review 4.  Mass spectrometry-based targeted proteomics for analysis of protein mutations.

Authors:  Tai-Tu Lin; Tong Zhang; Reta B Kitata; Tao Liu; Richard D Smith; Wei-Jun Qian; Tujin Shi
Journal:  Mass Spectrom Rev       Date:  2021-10-31       Impact factor: 9.011

Review 5.  Clinical potential of mass spectrometry-based proteogenomics.

Authors:  Bing Zhang; Jeffrey R Whiteaker; Andrew N Hoofnagle; Geoffrey S Baird; Karin D Rodland; Amanda G Paulovich
Journal:  Nat Rev Clin Oncol       Date:  2019-04       Impact factor: 66.675

6.  Multiplexed targeted mass spectrometry assays for prostate cancer-associated urinary proteins.

Authors:  Tujin Shi; Sue-Ing Quek; Yuqian Gao; Carrie D Nicora; Song Nie; Thomas L Fillmore; Tao Liu; Karin D Rodland; Richard D Smith; Robin J Leach; Ian M Thompson; Elizabeth A Vitello; William J Ellis; Alvin Y Liu; Wei-Jun Qian
Journal:  Oncotarget       Date:  2017-10-09

Review 7.  Revisiting biomarker discovery by plasma proteomics.

Authors:  Philipp E Geyer; Lesca M Holdt; Daniel Teupser; Matthias Mann
Journal:  Mol Syst Biol       Date:  2017-09-26       Impact factor: 11.429

8.  Facile carrier-assisted targeted mass spectrometric approach for proteomic analysis of low numbers of mammalian cells.

Authors:  Tujin Shi; Matthew J Gaffrey; Thomas L Fillmore; Carrie D Nicora; Lian Yi; Pengfei Zhang; Anil K Shukla; H Steven Wiley; Karin D Rodland; Tao Liu; Richard D Smith; Wei-Jun Qian
Journal:  Commun Biol       Date:  2018-08-06
  8 in total

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