Literature DB >> 26223766

MStern Blotting-High Throughput Polyvinylidene Fluoride (PVDF) Membrane-Based Proteomic Sample Preparation for 96-Well Plates.

Sebastian T Berger1, Saima Ahmed1, Jan Muntel1, Nerea Cuevas Polo2, Richard Bachur3, Alex Kentsis4, Judith Steen, Hanno Steen5.   

Abstract

We describe a 96-well plate compatible membrane-based proteomic sample processing method, which enables the complete processing of 96 samples (or multiples thereof) within a single workday. This method uses a large-pore hydrophobic PVDF membrane that efficiently adsorbs proteins, resulting in fast liquid transfer through the membrane and significantly reduced sample processing times. Low liquid transfer speeds have prevented the useful 96-well plate implementation of FASP as a widely used membrane-based proteomic sample processing method. We validated our approach on whole-cell lysate and urine and cerebrospinal fluid as clinically relevant body fluids. Without compromising peptide and protein identification, our method uses a vacuum manifold and circumvents the need for digest desalting, making our processing method compatible with standard liquid handling robots. In summary, our new method maintains the strengths of FASP and simultaneously overcomes one of the major limitations of FASP without compromising protein identification and quantification.
© 2015 by The American Society for Biochemistry and Molecular Biology, Inc.

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Year:  2015        PMID: 26223766      PMCID: PMC4597154          DOI: 10.1074/mcp.O115.049650

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


  19 in total

1.  High throughput peptide mass fingerprinting and protein macroarray analysis using chemical printing strategies.

Authors:  Andrew J Sloane; Janice L Duff; Nicole L Wilson; Parag S Gandhi; Cameron J Hill; Femia G Hopwood; Paul E Smith; Melissa L Thomas; Robert A Cole; Nicolle H Packer; Edmond J Breen; Patrick W Cooley; David B Wallace; Keith L Williams; Andrew A Gooley
Journal:  Mol Cell Proteomics       Date:  2002-07       Impact factor: 5.911

2.  A high-throughput sample preparation method for cellular proteomics using 96-well filter plates.

Authors:  Linda Switzar; Jordy van Angeren; Martijn Pinkse; Jeroen Kool; Wilfried M A Niessen
Journal:  Proteomics       Date:  2013-09-17       Impact factor: 3.984

3.  A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein-dye binding.

Authors:  M M Bradford
Journal:  Anal Biochem       Date:  1976-05-07       Impact factor: 3.365

4.  MS-viewer: a web-based spectral viewer for proteomics results.

Authors:  Peter R Baker; Robert J Chalkley
Journal:  Mol Cell Proteomics       Date:  2014-03-03       Impact factor: 5.911

5.  Minimal, encapsulated proteomic-sample processing applied to copy-number estimation in eukaryotic cells.

Authors:  Nils A Kulak; Garwin Pichler; Igor Paron; Nagarjuna Nagaraj; Matthias Mann
Journal:  Nat Methods       Date:  2014-02-02       Impact factor: 28.547

6.  Impact of digestion conditions on phosphoproteomics.

Authors:  Clarissa Dickhut; Ingo Feldmann; Jörg Lambert; René P Zahedi
Journal:  J Proteome Res       Date:  2014-05-07       Impact factor: 4.466

7.  Plasma plasminogen activator inhibitor-1 levels in the different phenotypes of the polycystic ovary syndrome.

Authors:  Ekaterini Koiou; Konstantinos Tziomalos; Konstantinos Dinas; Ilias Katsikis; Eleni A Kandaraki; Elena Tsourdi; Stylianos Mavridis; Dimitrios Panidis
Journal:  Endocr J       Date:  2011-10-12       Impact factor: 2.349

Review 8.  Plasminogen activator inhibitor-1 4G/5G and the MTHFR 677C/T polymorphisms and susceptibility to polycystic ovary syndrome: a meta-analysis.

Authors:  Young Ho Lee; Gwan Gyu Song
Journal:  Eur J Obstet Gynecol Reprod Biol       Date:  2014-01-03       Impact factor: 2.435

9.  Urine sample preparation in 96-well filter plates for quantitative clinical proteomics.

Authors:  Yanbao Yu; Moo-Jin Suh; Patricia Sikorski; Keehwan Kwon; Karen E Nelson; Rembert Pieper
Journal:  Anal Chem       Date:  2014-05-14       Impact factor: 6.986

10.  ProteomeXchange provides globally coordinated proteomics data submission and dissemination.

Authors:  Juan A Vizcaíno; Eric W Deutsch; Rui Wang; Attila Csordas; Florian Reisinger; Daniel Ríos; José A Dianes; Zhi Sun; Terry Farrah; Nuno Bandeira; Pierre-Alain Binz; Ioannis Xenarios; Martin Eisenacher; Gerhard Mayer; Laurent Gatto; Alex Campos; Robert J Chalkley; Hans-Joachim Kraus; Juan Pablo Albar; Salvador Martinez-Bartolomé; Rolf Apweiler; Gilbert S Omenn; Lennart Martens; Andrew R Jones; Henning Hermjakob
Journal:  Nat Biotechnol       Date:  2014-03       Impact factor: 54.908

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  23 in total

1.  Filter-Based Protein Digestion (FPD): A Detergent-Free and Scaffold-Based Strategy for TMT Workflows.

Authors:  Ekaterina Stepanova; Steven P Gygi; Joao A Paulo
Journal:  J Proteome Res       Date:  2018-02-13       Impact factor: 4.466

2.  Lab-on-a-Filter Techniques for Economical, Effective, and Flexible Proteome Analysis.

Authors:  Yi-Han Lin; Rodrigo Vargas Eguez; Isha Vashee; Yanbao Yu
Journal:  Methods Mol Biol       Date:  2021

3.  Quick 96FASP for high throughput quantitative proteome analysis.

Authors:  Yanbao Yu; Shiferaw Bekele; Rembert Pieper
Journal:  J Proteomics       Date:  2017-06-29       Impact factor: 4.044

4.  Fetal regional brain protein signature in FASD rat model.

Authors:  Katie L Davis-Anderson; Hendrik Wesseling; Lara M Siebert; Emilie R Lunde-Young; Vishal D Naik; Hanno Steen; Jayanth Ramadoss
Journal:  Reprod Toxicol       Date:  2018-02-01       Impact factor: 3.143

5.  Advancing Urinary Protein Biomarker Discovery by Data-Independent Acquisition on a Quadrupole-Orbitrap Mass Spectrometer.

Authors:  Jan Muntel; Yue Xuan; Sebastian T Berger; Lukas Reiter; Richard Bachur; Alex Kentsis; Hanno Steen
Journal:  J Proteome Res       Date:  2015-10-22       Impact factor: 4.466

6.  Urine Proteomics for Noninvasive Monitoring of Biomarkers in Bronchopulmonary Dysplasia.

Authors:  Saima Ahmed; Oludare A Odumade; Patrick van Zalm; Kinga K Smolen; Kimino Fujimura; Jan Muntel; Melissa S Rotunno; Abigail B Winston; Judith A Steen; Richard B Parad; Linda J Van Marter; Stella Kourembanas; Hanno Steen
Journal:  Neonatology       Date:  2022-01-24       Impact factor: 4.035

7.  Placental Proteomics Reveal Insights into Fetal Alcohol Spectrum Disorders.

Authors:  Katie L Davis-Anderson; Sebastian Berger; Emilie R Lunde-Young; Vishal D Naik; Heewon Seo; Greg A Johnson; Hanno Steen; Jayanth Ramadoss
Journal:  Alcohol Clin Exp Res       Date:  2017-08-09       Impact factor: 3.455

8.  A Cost-Effective High-Throughput Plasma and Serum Proteomics Workflow Enables Mapping of the Molecular Impact of Total Pancreatectomy with Islet Autotransplantation.

Authors:  Tue Bjerg Bennike; Melena D Bellin; Yue Xuan; Allan Stensballe; Frederik Trier Møller; Gregory J Beilman; Ofer Levy; Zobeida Cruz-Monserrate; Vibeke Andersen; Judith Steen; Darwin L Conwell; Hanno Steen
Journal:  J Proteome Res       Date:  2018-04-19       Impact factor: 4.466

9.  Differential Brain and Cerebrospinal Fluid Proteomic Responses to Acute Prenatal Endotoxin Exposure.

Authors:  Tik Muk; Allan Stensballe; Oksana Dmytriyeva; Anders Brunse; Ping-Ping Jiang; Thomas Thymann; Per Torp Sangild; Stanislava Pankratova
Journal:  Mol Neurobiol       Date:  2022-01-21       Impact factor: 5.590

Review 10.  Prostate Cancer Biomarker Development: National Cancer Institute's Early Detection Research Network Prostate Cancer Collaborative Group Review.

Authors:  Michael A Liss; Robin J Leach; Martin G Sanda; Oliver J Semmes
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2020-10-22       Impact factor: 4.254

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