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Status |
Public on Dec 01, 2018 |
Title |
Targets of JAK STAT signaling in Drosophila cells |
Organism |
Drosophila melanogaster |
Experiment type |
Expression profiling by high throughput sequencing
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Summary |
Purpose: analyze ligand and receptor genes regulated at early time points following JAK STAT pathway stimulation During development and homeostasis, cells integrate multiple signals originating either from neighboring cells or systemically. In turn, responding cells can produce signals that act in an autocrine, paracrine, or endocrine manner. Although the nature of the signals and pathways used in cell-cell communication are well characterized, we lack, in most cases, an integrative view of signaling describing the spatial and temporal interactions between pathways (e.g., whether the signals are processed sequentially or concomitantly when two pathways are required for a specific outcome). To address the extent of cross-talk between the major metazoan signaling pathways, we characterized immediate transcriptional responses to either single- or multiple pathway stimulations in homogeneous Drosophila cell lines. Our study, focusing on seven core pathways, epidermal growth factor receptor (EGFR), bone morphogenetic protein (BMP), Jun kinase (JNK), JAK/STAT, Notch, Insulin, and Wnt, revealed that many ligands and receptors are primary targets of signaling pathways, highlighting that transcriptional regulation of genes encoding pathway components is a major level of signaling cross-talk. In addition, we found that ligands and receptors can integrate multiple pathway activities and adjust their transcriptional responses accordingly. RNA-seq data is for JAK STAT pathway only
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Overall design |
S2R+ or STAT92E mutant cells were treated with upd ligand or control media for 1 hour before harvesting RNA and sequencing
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Contributor(s) |
Ammeux N, Housden BE, Georgiadis A, Hu Y, Perrimon N |
Citation(s) |
27528688 |
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Submission date |
Nov 30, 2018 |
Last update date |
Mar 22, 2019 |
Contact name |
Yanhui Hu |
E-mail(s) |
[email protected]
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Phone |
617-432-6546
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Organization name |
Harvard Medical School
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Department |
Genetics
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Lab |
Norbert Perrimon
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Street address |
77 Avenue Louis Pasteur
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City |
Boston |
State/province |
MA |
ZIP/Postal code |
02115 |
Country |
USA |
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Platforms (1) |
GPL19132 |
Illumina NextSeq 500 (Drosophila melanogaster) |
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Samples (8)
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Relations |
BioProject |
PRJNA507757 |
SRA |
SRP171613 |
Supplementary file |
Size |
Download |
File type/resource |
GSE123167_RAW.tar |
1.4 Mb |
(http)(custom) |
TAR (of TXT) |
SRA Run Selector |
Raw data are available in SRA |
Processed data provided as supplementary file |
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