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Status |
Public on Dec 21, 2020 |
Title |
Next Generation Sequencing Facilitates Quantitative Analysis of Bone Marrow-Derived Macrophage 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 lncRNA-GMR-deficient Bone marrow-derived macrophages and the control cells. Gene expression differences between two samples could be found using transcriptome profiling (RNA-seq) analysis.Macrophages 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 lncRNA-GMR-deficient macrophages and the control cells.
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Overall design |
Bone marrow-derived macrophage mRNA profiles of wild type (WT) and lncRNA-GMR -/- mice were generated by deep sequencing.
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Contributor(s) |
Wang Y, Cao X |
Citation(s) |
33326766 |
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Submission date |
Jul 09, 2019 |
Last update date |
Dec 21, 2020 |
Contact name |
Yujia Wang |
E-mail(s) |
halo4585@163.com
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Organization name |
Zhejiang University
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Street address |
Yuhangtang Road No.388
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City |
Hangzhou |
ZIP/Postal code |
310058 |
Country |
China |
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Platforms (1) |
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Samples (2) |
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Relations |
BioProject |
PRJNA553507 |
SRA |
SRP213862 |