| Title |
Notch signals modulate lgl mediated tumorigenesis by the activation of JNK signaling
|
|---|---|
| Published in |
BMC Research Notes, April 2018
|
| DOI | 10.1186/s13104-018-3350-5 |
| Pubmed ID | |
| Authors |
Maimuna Sali Paul, Ankita Singh, Debdeep Dutta, Mousumi Mutsuddi, Ashim Mukherjee |
| Abstract |
Oncogenic potential of Notch signaling and its cooperation with other factors to affect proliferation are widely established. Notch exhibits a cooperative effect with loss of a cell polarity gene, scribble to induce neoplastic overgrowth. Oncogenic Ras also show cooperative effect with loss of cell polarity genes such as scribble (scrib), lethal giant larvae (lgl) and discs large to induce neoplastic overgrowth and invasion. Our study aims at assessing the cooperation of activated Notch with loss of function of lgl in tumor overgrowth, and the mode of JNK signaling activation in this context. In the present study, we use Drosophila as an in vivo model to show the synergy between activated Notch (N act ) and loss of function of lgl (lgl-IR) in tumor progression. Coexpression of N act and lgl-IR results in massive tumor overgrowth and displays hallmarks of cancer, such as MMP1 upregulation and loss of epithelial integrity. We further show activation of JNK signaling and upregulation of its receptor, Grindelwald in N act /lgl-IR tumor. In contrast to previously described Notch act /scrib-/- tumor, our experiments in N act /lgl-IR tumor showed the presence of dying cells along with tumorous overgrowth. |
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 % |
|---|---|---|
| United States | 1 | 50% |
| United Kingdom | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 28% |
| Student > Ph. D. Student | 5 | 20% |
| Other | 4 | 16% |
| Lecturer | 1 | 4% |
| Professor | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 4 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 12 | 48% |
| Agricultural and Biological Sciences | 3 | 12% |
| Nursing and Health Professions | 1 | 4% |
| Decision Sciences | 1 | 4% |
| Neuroscience | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 7 | 28% |
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 23 May 2018.
All research outputs
#15,866,607
of 23,577,654 outputs
Outputs from BMC Research Notes
#2,337
of 4,303 outputs
Outputs of similar age
#191,263
of 297,900 outputs
Outputs of similar age from BMC Research Notes
#50
of 98 outputs
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