| Title |
Evaluation and validation of a robust single cell RNA-amplification protocol through transcriptional profiling of enriched lung cancer initiating cells
|
|---|---|
| Published in |
BMC Genomics, December 2014
|
| DOI | 10.1186/1471-2164-15-1129 |
| Pubmed ID | |
| Authors |
Dominic G Rothwell, Yaoyong Li, Mahmood Ayub, Catriona Tate, Gillian Newton, Yvonne Hey, Louise Carter, Suzanne Faulkner, Massimo Moro, Stuart Pepper, Crispin Miller, Fiona Blackhall, Giulia Bertolini, Luca Roz, Caroline Dive, Ged Brady |
| Abstract |
Although profiling of RNA in single cells has broadened our understanding of development, cancer biology and mechanisms of disease dissemination, it requires the development of reliable and flexible methods. Here we demonstrate that the EpiStem RNA-Amp™ methodology reproducibly generates microgram amounts of cDNA suitable for RNA-Seq, RT-qPCR arrays and Microarray analysis. |
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 % |
|---|---|---|
| France | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Denmark | 1 | 2% |
| Italy | 1 | 2% |
| Unknown | 60 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 32% |
| Researcher | 11 | 17% |
| Student > Bachelor | 6 | 10% |
| Other | 3 | 5% |
| Professor > Associate Professor | 3 | 5% |
| Other | 3 | 5% |
| Unknown | 17 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 19 | 30% |
| Medicine and Dentistry | 8 | 13% |
| Biochemistry, Genetics and Molecular Biology | 7 | 11% |
| Neuroscience | 3 | 5% |
| Immunology and Microbiology | 2 | 3% |
| Other | 3 | 5% |
| Unknown | 21 | 33% |
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 17 December 2014.
All research outputs
#20,656,820
of 25,374,647 outputs
Outputs from BMC Genomics
#8,709
of 11,244 outputs
Outputs of similar age
#258,164
of 347,668 outputs
Outputs of similar age from BMC Genomics
#240
of 307 outputs
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So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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We're also able to compare this research output to 307 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.