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cDNA Representational Difference Analysis of Human Neutrophils Stimulated by GM-CSF

Overview of attention for article published in Biochemical & Biophysical Research Communications, October 2000
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

patent
7 patents
wikipedia
3 Wikipedia pages

Readers on

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28 Mendeley
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Article details
Title
cDNA Representational Difference Analysis of Human Neutrophils Stimulated by GM-CSF
Published in
Biochemical & Biophysical Research Communications, October 2000
DOI 10.1006/bbrc.2000.3678
Pubmed ID
Authors
Abstract

Neutrophils are the first cell type to migrate out of the vascular space and into the inflammatory site during an acute inflammation. However, in chronic inflammatory diseases, such as chronic obstructive pulmonary disease (COPD), a lack of clearance of neutrophils, imbalance between inflammatory mediators produced by neutrophils and their natural inhibitors make these cells a potential cause of tissue destruction in lung disease. Neutrophilic inflammation is generally characterised by high levels of local expression of activating cytokines (e.g., GM-CSF). Only a few studies have been published so far that have investigated the expression of genes preferentially expressed in activated neutrophils. The isolation of such genes, however, can lead to a better understanding of inflammatory disease and the identification of potential novel therapeutic targets or markers of the disease. We performed representational difference analysis of cDNA, a sensitive PCR-based subtractive enrichment procedure, and isolated 12 genes, 1 EST clone, and 3 sequences not represented in the public databases. Differential expression for 9 of these clones was confirmed by Northern hybridisation. Of the above nine transcripts three were chosen and shown to be up-regulated in neutrophils cocultured with stimulated primary human bronchial epithelial cells using a semiquantitative RT-PCR approach. Among the known genes identified were HM-74, CIS1, Cathepsin C, alpha-enolase, CD44, and the gene Translocation Three Four (TTF), most of them previously not known to be involved in GM-CSF induced neutrophil activation. Along with its tissue and cellular distribution we also derived the complete cDNA sequence and genomic structure of CIS1 using an in silico approach. In addition, we also report the initial characterisation of a novel gene, P1-89 that is primarily expressed in granulocytes and is up-regulated in activated cells. Our results identify several important genes associated with neutrophil activation and can lead to a better understanding of the molecular mechanisms of neutrophilic inflammations.

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Mendeley demographics

Mendeley demographics

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.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 7 25%
Student > Master 6 21%
Other 3 11%
Student > Doctoral Student 2 7%
Professor 2 7%
Other 4 14%
Unknown 4 14%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 7 25%
Pharmacology, Toxicology and Pharmaceutical Science 4 14%
Biochemistry, Genetics and Molecular Biology 4 14%
Medicine and Dentistry 4 14%
Immunology and Microbiology 2 7%
Other 3 11%
Unknown 4 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 30 August 2017.
All research outputs
#3,778,749
of 34,363,559 outputs
Outputs from Biochemical & Biophysical Research Communications
#1,166
of 33,077 outputs
Outputs of similar age
#4,618
of 57,743 outputs
Outputs of similar age from Biochemical & Biophysical Research Communications
#7
of 221 outputs
Altmetric has tracked 34,363,559 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 33,077 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 93% of its peers.
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 57,743 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 221 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.