Literature DB >> 27029218

Analysis of Drosophila melanogaster proteome dynamics during embryonic development by a combination of label-free proteomics approaches.

Bertrand Fabre1,2,3, Dagmara Korona4,3, Arnoud Groen1,2,3, Jakob Vowinckel2,3, Laurent Gatto2,3,5, Michael J Deery1,2,3, Markus Ralser2,3,6, Steven Russell4,3, Kathryn S Lilley1,2,3.   

Abstract

During embryogenesis, organisms undergo considerable cellular remodelling requiring the combined action of thousands of proteins. In case of the well-studied model Drosophila melanogaster, transcriptomic studies, most notably from the modENCODE project, have described in detail changes in gene expression at the mRNA level across development. Although such data are clearly very useful to understand how the genome is regulated during embryogenesis, it is important to understand how changes in gene expression are reflected at the level of the proteome. In this study, we describe a combination of two quantitative label-free approaches, SWATH and data-dependent acquisition, to monitor changes in protein expression across a timecourse of D. melanogaster embryonic development. We demonstrate that both approaches provide robust and reproducible methods for the analysis of proteome changes. In a preliminary analysis of Drosophila embryogenesis, we identified several pathways, including the heat-shock response, nuclear protein import and energy production that are regulated during embryo development. In some cases changes in protein expression mirrored transcript levels across development, whereas other proteins showed signatures of post-transcriptional regulation. Taken together, our pilot study provides a solid platform for a more detailed exploration of the embryonic proteome.
© 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Early embryo development; Label-free quantification; Mass-spectrometry; SWATH; Systems biology

Mesh:

Substances:

Year:  2016        PMID: 27029218      PMCID: PMC5737838          DOI: 10.1002/pmic.201500482

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  42 in total

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2.  The Drosophila modifier of variegation modulo gene product binds specific RNA sequences at the nucleolus and interacts with DNA and chromatin in a phosphorylation-dependent manner.

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Review 3.  Regulation of heat shock gene induction and expression during Drosophila development.

Authors:  S Michaud; R Marin; R M Tanguay
Journal:  Cell Mol Life Sci       Date:  1997-01       Impact factor: 9.261

4.  Large-Scale Targeted Proteomics Using Internal Standard Triggered-Parallel Reaction Monitoring (IS-PRM).

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5.  A sentinel protein assay for simultaneously quantifying cellular processes.

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Journal:  Nat Methods       Date:  2014-09-07       Impact factor: 28.547

6.  The developmental transcriptome of Drosophila melanogaster.

Authors:  Brenton R Graveley; Angela N Brooks; Joseph W Carlson; Michael O Duff; Jane M Landolin; Li Yang; Carlo G Artieri; Marijke J van Baren; Nathan Boley; Benjamin W Booth; James B Brown; Lucy Cherbas; Carrie A Davis; Alex Dobin; Renhua Li; Wei Lin; John H Malone; Nicolas R Mattiuzzo; David Miller; David Sturgill; Brian B Tuch; Chris Zaleski; Dayu Zhang; Marco Blanchette; Sandrine Dudoit; Brian Eads; Richard E Green; Ann Hammonds; Lichun Jiang; Phil Kapranov; Laura Langton; Norbert Perrimon; Jeremy E Sandler; Kenneth H Wan; Aarron Willingham; Yu Zhang; Yi Zou; Justen Andrews; Peter J Bickel; Steven E Brenner; Michael R Brent; Peter Cherbas; Thomas R Gingeras; Roger A Hoskins; Thomas C Kaufman; Brian Oliver; Susan E Celniker
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7.  Extending the limits of quantitative proteome profiling with data-independent acquisition and application to acetaminophen-treated three-dimensional liver microtissues.

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Journal:  Mol Cell Proteomics       Date:  2015-02-27       Impact factor: 5.911

8.  Evaluation of iTRAQ and SWATH-MS for the Quantification of Proteins Associated with Insulin Resistance in Human Duodenal Biopsy Samples.

Authors:  Sylvie Bourassa; Frédéric Fournier; Benjamin Nehmé; Isabelle Kelly; André Tremblay; Valéry Lemelin; Benoit Lamarche; Patrick Couture; Arnaud Droit
Journal:  PLoS One       Date:  2015-05-07       Impact factor: 3.240

9.  Global analysis of patterns of gene expression during Drosophila embryogenesis.

Authors:  Pavel Tomancak; Benjamin P Berman; Amy Beaton; Richard Weiszmann; Elaine Kwan; Volker Hartenstein; Susan E Celniker; Gerald M Rubin
Journal:  Genome Biol       Date:  2007       Impact factor: 13.583

10.  miRISC recruits decapping factors to miRNA targets to enhance their degradation.

Authors:  Tadashi Nishihara; Latifa Zekri; Joerg E Braun; Elisa Izaurralde
Journal:  Nucleic Acids Res       Date:  2013-07-17       Impact factor: 16.971

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  10 in total

1.  SILAC-based quantitative proteomic analysis of Drosophila gastrula stage embryos mutant for fibroblast growth factor signalling.

Authors:  Hamze Beati; Alistair Langlands; Sara Ten Have; H-Arno J Müller
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2.  Comparison of protein expression between human livers and the hepatic cell lines HepG2, Hep3B, and Huh7 using SWATH and MRM-HR proteomics: Focusing on drug-metabolizing enzymes.

Authors:  Jian Shi; Xinwen Wang; Lingyun Lyu; Hui Jiang; Hao-Jie Zhu
Journal:  Drug Metab Pharmacokinet       Date:  2018-03-10       Impact factor: 3.614

3.  SWATH-MS data of Drosophila melanogaster proteome dynamics during embryogenesis.

Authors:  Bertrand Fabre; Dagmara Korona; Daniel J H Nightingale; Steven Russell; Kathryn S Lilley
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4.  SWATH-MS dataset of heat-shock treated Drosophila melanogaster embryos.

Authors:  Bertrand Fabre; Dagmara Korona; Daniel J H Nightingale; Steven Russell; Kathryn S Lilley
Journal:  Data Brief       Date:  2016-11-16

5.  The developmental proteome of Drosophila melanogaster.

Authors:  Nuria Casas-Vila; Alina Bluhm; Sergi Sayols; Nadja Dinges; Mario Dejung; Tina Altenhein; Dennis Kappei; Benjamin Altenhein; Jean-Yves Roignant; Falk Butter
Journal:  Genome Res       Date:  2017-04-05       Impact factor: 9.043

6.  Quantifying post-transcriptional regulation in the development of Drosophila melanogaster.

Authors:  Kolja Becker; Alina Bluhm; Nuria Casas-Vila; Nadja Dinges; Mario Dejung; Sergi Sayols; Clemens Kreutz; Jean-Yves Roignant; Falk Butter; Stefan Legewie
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7.  Label-free quantitative proteomics analysis of jujube (Ziziphus jujuba Mill.) during different growth stages.

Authors:  Xiaoli Huang; Zhaohua Hou
Journal:  RSC Adv       Date:  2021-06-22       Impact factor: 4.036

8.  In Depth Exploration of the Alternative Proteome of Drosophila melanogaster.

Authors:  Bertrand Fabre; Sebastien A Choteau; Carine Duboé; Carole Pichereaux; Audrey Montigny; Dagmara Korona; Michael J Deery; Mylène Camus; Christine Brun; Odile Burlet-Schiltz; Steven Russell; Jean-Philippe Combier; Kathryn S Lilley; Serge Plaza
Journal:  Front Cell Dev Biol       Date:  2022-05-26

9.  Spectral Libraries for SWATH-MS Assays for Drosophila melanogaster and Solanum lycopersicum.

Authors:  Bertrand Fabre; Dagmara Korona; Clara I Mata; Harriet T Parsons; Michael J Deery; Maarten L A T M Hertog; Bart M Nicolaï; Steven Russell; Kathryn S Lilley
Journal:  Proteomics       Date:  2017-11       Impact factor: 3.984

10.  Multi-level and lineage-specific interactomes of the Hox transcription factor Ubx contribute to its functional specificity.

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Journal:  Nat Commun       Date:  2020-03-13       Impact factor: 14.919

  10 in total

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