| Title |
Visualizing spatiotemporal dynamics of apoptosis after G1 arrest by human T cell leukemia virus type 1 Tax and insights into gene expression changes using microarray-based gene expression analysis
|
|---|---|
| Published in |
BMC Genomics, June 2012
|
| DOI | 10.1186/1471-2164-13-275 |
| Pubmed ID | |
| Authors |
Mariluz Arainga, Hironobu Murakami, Yoko Aida |
| Abstract |
Human T cell leukemia virus type 1 (HTLV-1) Tax is a potent activator of viral and cellular gene expression that interacts with a number of cellular proteins. Many reports show that Tax is capable of regulating cell cycle progression and apoptosis both positively and negatively. However, it still remains to understand why the Tax oncoprotein induces cell cycle arrest and apoptosis, or whether Tax-induced apoptosis is dependent upon its ability to induce G1 arrest. The present study used time-lapse imaging to explore the spatiotemporal patterns of cell cycle dynamics in Tax-expressing HeLa cells containing the fluorescent ubiquitination-based cell cycle indicator, Fucci2. A large-scale host cell gene profiling approach was also used to identify the genes involved in Tax-mediated cell signaling events related to cellular proliferation and apoptosis. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 4% |
| Unknown | 27 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 25% |
| Student > Bachelor | 4 | 14% |
| Student > Master | 4 | 14% |
| Student > Ph. D. Student | 3 | 11% |
| Student > Postgraduate | 2 | 7% |
| Other | 3 | 11% |
| Unknown | 5 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 10 | 36% |
| Immunology and Microbiology | 4 | 14% |
| Medicine and Dentistry | 4 | 14% |
| Biochemistry, Genetics and Molecular Biology | 3 | 11% |
| Nursing and Health Professions | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 5 | 18% |
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 26 June 2012.
All research outputs
#18,309,495
of 22,669,724 outputs
Outputs from BMC Genomics
#8,143
of 10,614 outputs
Outputs of similar age
#126,321
of 164,330 outputs
Outputs of similar age from BMC Genomics
#80
of 105 outputs
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