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Mendeley readers
Attention Score in Context
| Title |
Ganoderma lucidum polysaccharides in human monocytic leukemia cells: from gene expression to network construction
|
|---|---|
| Published in |
BMC Genomics, November 2007
|
| DOI | 10.1186/1471-2164-8-411 |
| Pubmed ID | |
| Authors |
Kun-Chieh Cheng, Hsuan-Cheng Huang, Jenn-Han Chen, Jia-Wei Hsu, Hsu-Chieh Cheng, Chern-Han Ou, Wen-Bin Yang, Shui-Tein Chen, Chi-Huey Wong, Hsueh-Fen Juan |
| Abstract |
Ganoderma lucidum has been widely used as a herbal medicine for promoting health and longevity in China and other Asian countries. Polysaccharide extracts from Ganoderma lucidum have been reported to exhibit immuno-modulating and anti-tumor activities. In previous studies, F3, the active component of the polysaccharide extract, was found to activate various cytokines such as IL-1, IL-6, IL-12, and TNF-alpha. This gave rise to our investigation on how F3 stimulates immuno-modulating or anti-tumor effects in human leukemia THP-1 cells. Here, we integrated time-course DNA microarray analysis, quantitative PCR assays, and bioinformatics methods to study the F3-induced effects in THP-1 cells. Significantly disturbed pathways induced by F3 were identified with statistical analysis on microarray data. The apoptosis induction through the DR3 and DR4/5 death receptors was found to be one of the most significant pathways and play a key role in THP-1 cells after F3 treatment. Based on time-course gene expression measurements of the identified pathway, we reconstructed a plausible regulatory network of the involved genes using reverse-engineering computational approach. Our results showed that F3 may induce death receptor ligands to initiate signaling via receptor oligomerization, recruitment of specialized adaptor proteins and activation of caspase cascades. |
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 % |
|---|---|---|
| Saudi Arabia | 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 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Taiwan | 2 | 3% |
| Costa Rica | 1 | 2% |
| Japan | 1 | 2% |
| Unknown | 56 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 23% |
| Student > Master | 13 | 22% |
| Researcher | 7 | 12% |
| Student > Bachelor | 5 | 8% |
| Professor > Associate Professor | 5 | 8% |
| Other | 9 | 15% |
| Unknown | 7 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 27 | 45% |
| Medicine and Dentistry | 6 | 10% |
| Biochemistry, Genetics and Molecular Biology | 6 | 10% |
| Chemistry | 4 | 7% |
| Computer Science | 3 | 5% |
| Other | 6 | 10% |
| Unknown | 8 | 13% |
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 28 June 2017.
All research outputs
#15,466,074
of 22,982,639 outputs
Outputs from BMC Genomics
#6,720
of 10,688 outputs
Outputs of similar age
#66,915
of 78,019 outputs
Outputs of similar age from BMC Genomics
#16
of 19 outputs
Altmetric has tracked 22,982,639 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,688 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 78,019 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.