Dataset Information

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

ABSTRACT: Quantitative mass spectrometry-based proteomic analyses in combination with genetics provide powerful tools in developmental cell signaling research. Drosophila melanogaster is one of the most widely used genetic models for studying development and disease. Here we combined quantitative proteomics with genetic selection to determine global changes in the proteome upon depletion of the Heartless (Htl) Fibroblast-Growth Factor (FGF) receptor signaling in Drosophila embryos at the gastrula stage. We present a robust, single generation SILAC (stable isotope labeling with amino acids in cell culture) protocol for labeling proteins in early embryos and for the selection of homozygously mutant embryos at pre-gastrula stages using an independent genetic marker. Our analyses detected quantitative changes in the global proteome of htl mutant embryos during gastrulation. We identified distinct classes of down-regulated and up-regulated proteins and network analyses indicates functionally related groups of proteins in each class. In addition, we identified changes in the abundance of phosphopeptides. These data suggest that FGF signaling in the early embryo affects global changes in the abundance of metabolic, nucleoplasmic, cytoskeletal and transport proteins.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Drosophila Melanogaster (fruit Fly)

TISSUE(S): Embryo, Early Embryonic Cell

SUBMITTER: Sara ten Have

LAB HEAD: Arno Mueller

PROVIDER: PXD016438 | Pride | 2021-09-09

REPOSITORIES: Pride

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

Beati Hamze H Langlands Alistair A Ten Have Sara S Müller H-Arno J HJ

Fly 20191224 1-4

Quantitative proteomic analyses in combination with genetics provide powerful tools in developmental cell signalling research. Drosophila melanogaster is one of the most widely used genetic models for studying development and disease. Here we combined quantitative proteomics with genetic selection to determine changes in the proteome upon depletion of Heartless (Htl) Fibroblast-Growth Factor (FGF) receptor signalling in Drosophila embryos at the gastrula stage. We present a robust, ...[more]

PMID: 31873056

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Project description:This is a dataset generated by the Drosophila Regulatory Elements modENCODE Project led by Kevin P. White at the University of Chicago. It contains ChIP-chip data on Agilent 244K dual-color arrays for 6 Histone modifications (H3K9me3, H3K27me3, H3K4me3, H3K4me1, H3K27Ac, H3K9Ac), PolII and CBP/p300. Each factor has been studied for 12 different time-points of Drosophila development. This SuperSeries is composed of the following subset Series: GSE15422: ChIP-chip of H3K9me3 in Drosophila at different time points of development GSE15423: ChIP-chip of H3K27me3 in Drosophila at different time points of development GSE15424: ChIP-chip of H3K4me3 in Drosophila at different time points of development GSE15425: ChIP-chip of H3K4me1 in Drosophila at different time points of development GSE15426: ChIP-chip of H3K9Ac in Drosophila at different time points of development GSE15427: ChIP-chip of CBP/p300 in Drosophila at different time points of development GSE15430: ChIP-chip of H3K27Ac in Drosophila at different time points of development GSE16013: Genome-wide maps of chromatin state in staged Drosophila embryos, ChIP-seq GSE16702: ChIP-chip of PolII in Drosophila at different time points of development GSE18068: Genome-wide maps of chromatin state in staged Drosophila embryos, RNA-seq For data usage terms and conditions, please refer to http://www.genome.gov/27528022 and http://www.genome.gov/Pages/Research/ENCODE/ENCODEDataReleasePolicyFinal2008.pdf ChIP-chip: For each combination of time-point and antibody, triplicate ChIP experiments have been performed and hybridized on Agilent 244K arrays. 3 arrays per genome have been used so that each time-point is a set of 9 tiling arrays. ChIP-seq: For each combination of time-point and antibody, triplicate ChIP experiments have been performed and hybridized on Agilent 244K arrays. The hybridizations have been verified by sequencing one replicate of IP and one replicate of Input following Solexa sequencing procedure. RNA-seq: For each time-point (E-0-4h, E-4-8h, E-8-12h, E-12-16h, E-16-20h, E20-24h, L1, L2, L3, Pupae, Adult Males and Adult Females) a total RNA extraction has been performed. After conversion into double stranded DNA, the samples have been sequenced in duplicate on Solexa Genome Analyzer following Solexa sequencing procedure.

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Dataset Information

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

Dataset's files

Publications

SILAC-based quantitative proteomic analysis of <i>Drosophila</i> gastrula stage embryos mutant for fibroblast growth factor signalling.

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