|
| Status |
Public on Feb 18, 2022 |
| Title |
Hybrid sequencing characterizes expression and function of mouse pseudogenes |
| Organism |
Mus musculus |
| Experiment type |
Expression profiling by high throughput sequencing
|
| Summary |
Pseudogenes are defined as regions of the genome that resemble functional genes but contain disabling mutations and lack regulatory elements needed for transcription or translation. They are excellent markers for genome evolution and are emerging as crucial regulators of the development and disease, especially cancer. However, systematic functional characterization and evolution of pseudogene remain largely unexplored. In particular, the contribution of pseudogene to organ development is still unknown. Meanwhile, studies of pseudogene transcription, which is the first step for generating functional RNA, is precluded by the limited capacity of short-read sequencing. To address these issues, we systematically inferred the origin time and characterized the evolution pattern of pseudogenes. We leveraged PacBio full-length sequencing in combination with deep Illumina data as well as public developmental time-course RNA-seq, we dramatically expanded the analyzed samples and profiled genome-wide pseudogene expression paradigm. Additionally, we prioritized functional pseudogenes at multiple regulatory layers and determined their implications in disease and cancer biology.
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| |
|
| Overall design |
Identification of full-length pseudogene transcripts and subsequent quantification.
|
| |
|
| Contributor(s) |
Chen Z, Chen L, Qian SH |
| Citation(s) |
36348461 |
| |
| Submission date |
Jun 02, 2021 |
| Last update date |
Nov 30, 2022 |
| Contact name |
Zhen-Xia Chen |
| E-mail(s) |
zhen-xia.chen@mail.hzau.edu.cn
|
| Organization name |
Huazhong Agricultural University
|
| Department |
College of Life Science and Technology
|
| Street address |
No.1 Shizishan Street
|
| City |
Wuhan |
| State/province |
Hubei |
| ZIP/Postal code |
430070 |
| Country |
China |
| |
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| Platforms (2) |
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| Samples (35)
|
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| Relations |
| BioProject |
PRJNA734591 |
| SRA |
SRP322355 |
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