Literature DB >> 23073815

Putting the pieces together: high-performance LC-MS/MS provides network-, pathway-, and protein-level perspectives in Populus.

Paul Abraham1, Richard J Giannone, Rachel M Adams, Udaya Kalluri, Gerald A Tuskan, Robert L Hettich.   

Abstract

High-performance mass spectrometry (MS)-based proteomics enabled the construction of a detailed proteome atlas for Populus, a woody perennial plant model organism. Optimization of experimental procedures and implementation of current state-of-the-art instrumentation afforded the most detailed look into the predicted proteome space of Populus, offering varying proteome perspectives: (1) network-wide, (2) pathway-specific, and (3) protein-level viewpoints. Together, enhanced protein retrieval through a detergent-based lysis approach and maximized peptide sampling via the dual-pressure linear ion trap mass spectrometer (LTQ Velos), have resulted in the identification of 63,056 tryptic peptides. The technological advancements, specifically spectral-acquisition and sequencing speed, afforded the deepest look into the Populus proteome, with peptide abundances spanning 6 orders of magnitude and mapping to ∼25% of the predicted proteome space. In total, tryptic peptides mapped to 11,689 protein assignments across four organ-types: mature (fully expanded, leaf plastichronic index (LPI) 10-12) leaf, young (juvenile, LPI 4-6) leaf, root, and stem. To resolve protein ambiguity, identified proteins were grouped by sequence similarity (≥ 90%), thereby reducing the protein assignments into 7538 protein groups. In addition, this large-scale data set features the first systems-wide survey of protein expression across different Populus organs. As a demonstration of the precision and comprehensiveness of the semiquantitative analysis, we were able to contrast two stages of leaf development, mature versus young leaf. Statistical comparison through ANOVA analysis revealed 1432 protein groups that exhibited statistically significant (p ≤ 0.01) differences in protein abundance. Experimental validation of the metabolic circuitry expected in mature leaf (characterized by photosynthesis and carbon fixation) compared with young leaf (characterized by rapid growth and moderate photosynthetic activities) strongly testifies to the credibility of the approach. Instead of quantitatively comparing a few proteins, a systems view of all the changes associated with a given cellular perturbation could be made.

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Year:  2012        PMID: 23073815      PMCID: PMC3536892          DOI: 10.1074/mcp.M112.022996

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  54 in total

1.  Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes.

Authors:  A Krogh; B Larsson; G von Heijne; E L Sonnhammer
Journal:  J Mol Biol       Date:  2001-01-19       Impact factor: 5.469

2.  Defining the boundaries and characterizing the landscape of functional genome expression in vascular tissues of Populus using shotgun proteomics.

Authors:  Paul Abraham; Rachel Adams; Richard J Giannone; Udaya Kalluri; Priya Ranjan; Brian Erickson; Manesh Shah; Gerald A Tuskan; Robert L Hettich
Journal:  J Proteome Res       Date:  2011-11-09       Impact factor: 4.466

3.  Combining comparative sequence and genomic data to ascertain phylogenetic relationships and explore the evolution of the large GDSL-lipase family in land plants.

Authors:  Micha Volokita; Tamar Rosilio-Brami; Natalia Rivkin; Moriyah Zik
Journal:  Mol Biol Evol       Date:  2010-08-26       Impact factor: 16.240

4.  Transcriptome analysis of Arabidopsis clubroots indicate a key role for cytokinins in disease development.

Authors:  Johannes Siemens; Ingo Keller; Johannes Sarx; Sabine Kunz; Astrid Schuller; Wolfgang Nagel; Thomas Schmülling; Martin Parniske; Jutta Ludwig-Müller
Journal:  Mol Plant Microbe Interact       Date:  2006-05       Impact factor: 4.171

Review 5.  Optimizing protein extraction from plant tissues for enhanced proteomics analysis.

Authors:  Wei Wang; Fuju Tai; Shaoning Chen
Journal:  J Sep Sci       Date:  2008-06       Impact factor: 3.645

6.  The potential of Betv1 homologues, a nuclear multigene family, as phylogenetic markers in flowering plants.

Authors:  J Wen; M Vanek-Krebitz; K Hoffmann-Sommergruber; O Scheiner; H Breiteneder
Journal:  Mol Phylogenet Evol       Date:  1997-12       Impact factor: 4.286

7.  Label-free quantitative proteomics for the extremely thermophilic bacterium Caldicellulosiruptor obsidiansis reveal distinct abundance patterns upon growth on cellobiose, crystalline cellulose, and switchgrass.

Authors:  Adriane Lochner; Richard J Giannone; Martin Keller; Garabed Antranikian; David E Graham; Robert L Hettich
Journal:  J Proteome Res       Date:  2011-11-08       Impact factor: 4.466

8.  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

9.  WIN1, a transcriptional activator of epidermal wax accumulation in Arabidopsis.

Authors:  Pierre Broun; Patricia Poindexter; Erin Osborne; Cai-Zhong Jiang; José Luis Riechmann
Journal:  Proc Natl Acad Sci U S A       Date:  2004-03-22       Impact factor: 11.205

10.  The Pfam protein families database.

Authors:  Marco Punta; Penny C Coggill; Ruth Y Eberhardt; Jaina Mistry; John Tate; Chris Boursnell; Ningze Pang; Kristoffer Forslund; Goran Ceric; Jody Clements; Andreas Heger; Liisa Holm; Erik L L Sonnhammer; Sean R Eddy; Alex Bateman; Robert D Finn
Journal:  Nucleic Acids Res       Date:  2011-11-29       Impact factor: 16.971

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  11 in total

1.  In-depth proteomics characterization of embryogenesis of the honey bee worker (Apis mellifera ligustica).

Authors:  Yu Fang; Mao Feng; Bin Han; Xiaoshan Lu; Haitham Ramadan; Jianke Li
Journal:  Mol Cell Proteomics       Date:  2014-06-03       Impact factor: 5.911

2.  MYB Transcription Factor161 Mediates Feedback Regulation of Secondary wall-associated NAC-Domain1 Family Genes for Wood Formation.

Authors:  Zhifeng Wang; Yuli Mao; Yanjiao Guo; Jinghui Gao; Xinying Liu; Shuang Li; Ying-Chung Jimmy Lin; Hao Chen; Jack P Wang; Vincent L Chiang; Wei Li
Journal:  Plant Physiol       Date:  2020-09-17       Impact factor: 8.340

3.  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

4.  Quantitative proteome profile of water deficit stress responses in eastern cottonwood (Populus deltoides) leaves.

Authors:  Paul E Abraham; Benjamin J Garcia; Lee E Gunter; Sara S Jawdy; Nancy Engle; Xiaohan Yang; Daniel A Jacobson; Robert L Hettich; Gerald A Tuskan; Timothy J Tschaplinski
Journal:  PLoS One       Date:  2018-02-15       Impact factor: 3.240

5.  Proteome modifications on tomato under extreme high light induced-stress.

Authors:  Débora Parrine; Bo-Sen Wu; Bilal Muhammad; Keith Rivera; Darryl Pappin; Xin Zhao; Mark Lefsrud
Journal:  Proteome Sci       Date:  2018-11-24       Impact factor: 2.480

6.  In-depth assembly of organ and development dissected Picrorhiza kurroa proteome map using mass spectrometry.

Authors:  Manglesh Kumari; Upendra Kumar Pradhan; Robin Joshi; Ashwani Punia; Ravi Shankar; Rajiv Kumar
Journal:  BMC Plant Biol       Date:  2021-12-22       Impact factor: 4.215

7.  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

8.  Quantitative proteomics reveals protein profiles underlying major transitions in aspen wood development.

Authors:  Ogonna Obudulu; Joakim Bygdell; Björn Sundberg; Thomas Moritz; Torgeir R Hvidsten; Johan Trygg; Gunnar Wingsle
Journal:  BMC Genomics       Date:  2016-02-18       Impact factor: 3.969

9.  Dual use of peptide mass spectra: Protein atlas and genome annotation.

Authors:  Justin W Walley; Steven P Briggs
Journal:  Curr Plant Biol       Date:  2015-04-13

10.  A PtrLBD39-mediated transcriptional network regulates tension wood formation in Populus trichocarpa.

Authors:  Jing Yu; Chenguang Zhou; Danning Li; Shuang Li; Ying-Chung Jimmy Lin; Jack P Wang; Vincent L Chiang; Wei Li
Journal:  Plant Commun       Date:  2021-10-20
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