| Title |
Functional characterization of AATF transcriptome in human leukemic cells
|
|---|---|
| Published in |
Molecular and Cellular Biochemistry, September 2006
|
| DOI | 10.1007/s11010-006-9317-1 |
| Pubmed ID | |
| Authors |
Deepak Kaul, Aanchal Mehrotra |
| Abstract |
The study, addressed to explore the transcriptional expression and regulation of Apoptosis-antagonizing transcription factor (AATF) gene within various types of human leukemic cell lines, revealed that AATF gene was overexpressed ubiquitously in all the leukemic cell lines studied and this upregulation was accompanied by c-myc gene overamplification in these cells. Downregulation of AATF gene transcription within leukemic cells not only resulted in the downregulation of c-myc gene and vice-versa but also contributed to apoptosis leading to cell death. Further, the link between AATF expression and leukemic cellular apoptosis involved PI3K/Akt pathway. Based on these results we propose that AATF gene may be of crucial importance in maintaining the leukemic state of a cell compartment through its ability to initiate cell proliferation coupled with repression of cellular apoptosis. |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 29% |
| Researcher | 3 | 18% |
| Student > Master | 2 | 12% |
| Lecturer | 1 | 6% |
| Student > Bachelor | 1 | 6% |
| Other | 3 | 18% |
| Unknown | 2 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 8 | 47% |
| Biochemistry, Genetics and Molecular Biology | 4 | 24% |
| Neuroscience | 1 | 6% |
| Medicine and Dentistry | 1 | 6% |
| Unknown | 3 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 18 December 2007.
All research outputs
#7,454,298
of 22,789,076 outputs
Outputs from Molecular and Cellular Biochemistry
#417
of 2,302 outputs
Outputs of similar age
#23,522
of 67,465 outputs
Outputs of similar age from Molecular and Cellular Biochemistry
#2
of 13 outputs
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