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Status |
Public on Jan 25, 2018 |
Title |
Next Generation Sequencing Facilitates Quantitative Analysis of Bone Marrow Derived Mast Cell Transcriptomes |
Organism |
Mus musculus |
Experiment type |
Expression profiling by high throughput sequencing
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Summary |
Purpose:The purpose of this study is to detect activated or silenced genes during Tet2-deficient bone marrow derived mast cell (BMMC) and the control cells. Gene expression differences between two samples could be found using transcriptome profiling (RNA-seq) analysis. Methods:Mouse BMMCs were generated from bone marrow cells in RPMI-1640 medium with recombinant mouse IL-3 and SCF. BMMCs were stained to confirm the surface expression of FcɛRI and c-Kit. Cells with purity >97.5% were used for subsequent experiments. BMMCs RNA profiles were generated by deep sequencing,using Illumina. Results: We mapped about 10 million sequence reads per sample to the mouse genome, identified hundreds of genes with significant mRNA variation between Tet2-deficient BMMC and the control cells.
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Overall design |
BMMC mRNA profiles of wild type (WT) and Tet2-/- mice were generated by deep sequencing.
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Contributor(s) |
Shen Q, Cao X |
Citation(s) |
29364877 |
Submission date |
Jun 27, 2017 |
Last update date |
May 15, 2019 |
Contact name |
Qian Zhang |
E-mail(s) |
oilpangpang@hotmail.com
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Phone |
+8615921196443
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Organization name |
Second military medical university
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Street address |
xiangyin road 800
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City |
shang hai |
ZIP/Postal code |
200433 |
Country |
China |
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Platforms (1) |
GPL21493 |
Illumina HiSeq 3000 (Mus musculus) |
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Samples (2) |
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Relations |
BioProject |
PRJNA392109 |
SRA |
SRP110608 |