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Changes in lncRNAs and related genes in β-thalassemia minor and β-thalassemia major

Overview of attention for article published in Frontiers of Medicine, March 2017
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Title
Changes in lncRNAs and related genes in β-thalassemia minor and β-thalassemia major
Published in
Frontiers of Medicine, March 2017
DOI 10.1007/s11684-017-0503-1
Pubmed ID
Authors

Jing Ma, Fei Liu, Xin Du, Duan Ma, Likuan Xiong

Abstract

β-thalassemia is caused by β-globin gene mutations. However, heterogeneous phenotypes were found in individuals with same genotype, and still undescribed mechanism underlies such variation. We collected blood samples from 30 β-thalassemia major, 30 β-thalassemia minor patients, and 30 matched normal controls. Human lncRNA Array v2.0 (8 × 60 K, Arraystar) was used to detect changes in long non-coding RNAs (lncRNAs) and mRNAs in three samples each from β-thalassemia major, β-thalassemia minor, and control groups. Compared with normal controls, 1424 and 2045 lncRNAs were up- and downregulated, respectively, in β-thalassemia major patients, whereas 623 and 349 lncRNAs were up- and downregulated, respectively, in β-thalassemia minor patients. Compared with β-thalassemia minor group, 1367 and 2356 lncRNAs were up- and downregulated, respectively, in β-thalassemia major group. We selected five lncRNAs that displayed altered expressions (DQ583499, X-inactive specific transcript (Xist), lincRNA-TPM1, MRFS16P, and lincRNA-RUNX2-2) and confirmed their expression levels in all samples using real-time polymerase chain reaction. Based on coding-noncoding gene co-expression network and gene ontology biological process analyses, several signaling pathways were associated with three common organ systems exhibiting β-thalassemia phenotypes: hematologic, skeletal, and hepatic systems. This study implicates that abnormal expression levels of lncRNAs and mRNA in β-thalassemia cases may be correlated with its various clinical phenotypes.

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Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 33%
Student > Ph. D. Student 3 25%
Student > Bachelor 1 8%
Lecturer 1 8%
Student > Postgraduate 1 8%
Other 0 0%
Unknown 2 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 25%
Medicine and Dentistry 3 25%
Nursing and Health Professions 2 17%
Business, Management and Accounting 1 8%
Chemistry 1 8%
Other 0 0%
Unknown 2 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 15 September 2017.
All research outputs
#20,440,241
of 22,994,508 outputs
Outputs from Frontiers of Medicine
#280
of 351 outputs
Outputs of similar age
#270,707
of 310,723 outputs
Outputs of similar age from Frontiers of Medicine
#6
of 10 outputs
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