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Status |
Public on Sep 07, 2017 |
Title |
Stochastic Principles Governing Alternative Splicing of RNA |
Organism |
Homo sapiens |
Experiment type |
Expression profiling by high throughput sequencing
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Summary |
The goal of the study was to analyze the principles governing the usage of alternatively spliced transcript isoform of four types of T-cells (Naïve, Central Memory, Transitional Memory and Effector Memory) between resting and activated status. However, the principles discovered in the T cells were universal and can also be applied to other cell type and tissues.
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Overall design |
Four types of T cells were sorted and whole transcriptome analysis was performed using an Illumina machine The readme.txt contains the column headers and description for the processed data files.
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Contributor(s) |
Douek D, Boritz E, Hu J, Wylie W |
Citation(s) |
28910283 |
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Submission date |
Apr 07, 2016 |
Last update date |
May 15, 2019 |
Contact name |
Jianfei Hu |
E-mail(s) |
jianfei.hu@mail.nih.gov
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Organization name |
NIH
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Department |
Vaccine Research Center
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Street address |
40 CONVENT DR
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City |
BETHESDA |
State/province |
MD |
ZIP/Postal code |
20814 |
Country |
USA |
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Platforms (1) |
GPL11154 |
Illumina HiSeq 2000 (Homo sapiens) |
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Samples (72)
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Relations |
BioProject |
PRJNA317639 |
SRA |
SRP072980 |