| Title |
Genetic and Epigenetic Mechanisms of β-Globin Gene Switching
|
|---|---|
| Published in |
Biochemistry, April 2018
|
| DOI | 10.1134/s0006297918040090 |
| Pubmed ID | |
| Authors |
O. V. Iarovaia, A. P. Kovina, N. V. Petrova, S. V. Razin, E. S. Ioudinkova, Y. S. Vassetzky, S. V. Ulianov |
| Abstract |
Vertebrates have multiple forms of hemoglobin that differ in the composition of their polypeptide chains. During ontogenesis, the composition of these subunits changes. Genes encoding different α- and β-polypeptide chains are located in two multigene clusters on different chromosomes. Each cluster contains several genes that are expressed at different stages of ontogenesis. The phenomenon of stage-specific transcription of globin genes is referred to as globin gene switching. Mechanisms of expression switching, stage-specific activation, and repression of transcription of α- and β-globin genes are of interest from both theoretical and practical points of view. Alteration of balanced expression of globin genes, which usually occurs due to damage to adult β-globin genes, leads to development of severe diseases - hemoglobinopathies. In most cases, reactivation of the fetal hemoglobin gene in patients with β-thalassemia and sickle cell disease can reduce negative consequences of irreversible alterations of expression of the β-globin genes. This review focuses on the current state of research on genetic and epigenetic mechanisms underlying stage-specific switching of β-globin genes. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 50% |
| Belgium | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 11 | 24% |
| Student > Ph. D. Student | 6 | 13% |
| Researcher | 4 | 9% |
| Student > Master | 3 | 7% |
| Professor | 2 | 4% |
| Other | 5 | 11% |
| Unknown | 14 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 16 | 36% |
| Agricultural and Biological Sciences | 5 | 11% |
| Medicine and Dentistry | 3 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
| Immunology and Microbiology | 2 | 4% |
| Other | 1 | 2% |
| Unknown | 16 | 36% |
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 09 April 2018.
All research outputs
#19,951,180
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Outputs from Biochemistry
#20,456
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#238,331
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Outputs of similar age from Biochemistry
#105
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