Evidence map›Paper›PMID 27029218›Full record

ArticleProteomics2016

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

Bertrand Fabre, Dagmara Korona, Arnoud Groen, Jakob Vowinckel, Laurent Gatto, Michael J Deery, Markus Ralser, Steven Russell, Kathryn S Lilley

Open access · greenAbstract read
In one paragraph

Article in Proteomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.0field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. In Depth Exploration of the Alternative Proteome ofFrontiers in cell and developmental biology · 2022
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. The developmental proteome ofGenome research · 2017
    Article
  13. Article
  14. SWATH-MS data ofData in brief · 2016
    Article
  15. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 2 countries.

Bertrand FabreCambridge Centre for Proteomics, Department of Biochemistry, University of Cambridge, Cambridge, UK.
Dagmara KoronaDepartment of Genetics, University of Cambridge, University of Cambridge, Cambridge, UK.
Arnoud GroenCambridge Centre for Proteomics, Department of Biochemistry, University of Cambridge, Cambridge, UK.
Jakob VowinckelDepartment of Biochemistry, University of Cambridge, University of Cambridge, Cambridge, UK.
Laurent GattoDepartment of Biochemistry, University of Cambridge, University of Cambridge, Cambridge, UK.
Michael J DeeryCambridge Centre for Proteomics, Department of Biochemistry, University of Cambridge, Cambridge, UK.
Markus RalserDepartment of Biochemistry, University of Cambridge, University of Cambridge, Cambridge, UK.
Steven RussellDepartment of Genetics, University of Cambridge, University of Cambridge, Cambridge, UK.
Kathryn S LilleyCambridge Centre for Proteomics, Department of Biochemistry, University of Cambridge, Cambridge, UK.
Bridge University · SSUniversity of Cambridge · GB

Funding

Biotechnology and Biological Sciences Research Council BB/L002817/1European Research Council 260809Wellcome TrustWellcome Trust 093735/Z/10/Z
6 · The paper itself

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.

Indexed as

AnimalsDrosophila melanogasterDrosophila ProteinsMass SpectrometryProteomeProteomicsSystems BiologyDrosophila ProteinsProteomeEarly embryo developmentLabel-free quantificationMass-spectrometrySWATHSystems biology

Identifiers

PMID27029218
PMCPMC5737838
OpenAlexW2512718102

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.