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Transcriptome analysis reveals a ribosome constituents disorder involved in the RPL5 downregulated zebrafish model of Diamond-Blackfan anemia

Overview of attention for article published in BMC Medical Genomics, March 2016
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Title
Transcriptome analysis reveals a ribosome constituents disorder involved in the RPL5 downregulated zebrafish model of Diamond-Blackfan anemia
Published in
BMC Medical Genomics, March 2016
DOI 10.1186/s12920-016-0174-9
Pubmed ID
Authors

Yang Wan, Qian Zhang, Zhaojun Zhang, Binfeng Song, Xiaomin Wang, Yingchi Zhang, Qiong Jia, Tao Cheng, Xiaofan Zhu, Anskar Yu-Hung Leung, Weiping Yuan, Haibo Jia, Xiangdong Fang

Abstract

Diamond-Blackfan anemia (DBA) was the first ribosomopathy associated with mutations in ribosome protein (RP) genes. The clinical phenotypes of DBA include failure of erythropoiesis, congenital anomalies and cancer predisposition. Mutations in RPL5 are reported in approximately 9 ~ 21 % of DBA patients, which represents the most common pathological condition related to a large-subunit ribosomal protein. However, it remains unclear how RPL5 downregulation results in severe phenotypes of this disease. In this study, we generated a zebrafish model of DBA with RPL5 morphants and implemented high-throughput RNA-seq and ncRNA-seq to identify key genes, lncRNAs, and miRNAs during zebrafish development and hematopoiesis. We demonstrated that RPL5 is required for both primitive and definitive hematopoiesis processes. By comparing with other DBA zebrafish models and processing functional coupling network, we identified some common regulated genes, lncRNAs and miRNAs, that might play important roles in development and hematopoiesis. Ribosome biogenesis and translation process were affected more in RPL5 MO than in other RP MOs. Both P53 dependent (for example, cell cycle pathway) and independent pathways (such as Aminoacyl-tRNA biosynthesis pathway) play important roles in DBA pathology. Our results therefore provide a comprehensive basis for the study of molecular pathogenesis of RPL5-mediated DBA and other ribosomopathies.

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Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 16%
Researcher 8 16%
Student > Ph. D. Student 8 16%
Student > Bachelor 6 12%
Student > Doctoral Student 4 8%
Other 9 18%
Unknown 7 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 28%
Agricultural and Biological Sciences 10 20%
Medicine and Dentistry 8 16%
Computer Science 3 6%
Neuroscience 3 6%
Other 5 10%
Unknown 7 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 March 2016.
All research outputs
#14,840,844
of 22,856,968 outputs
Outputs from BMC Medical Genomics
#606
of 1,223 outputs
Outputs of similar age
#168,809
of 300,116 outputs
Outputs of similar age from BMC Medical Genomics
#6
of 9 outputs
Altmetric has tracked 22,856,968 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,223 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 300,116 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
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