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Mendeley readers
Attention Score in Context
| Title |
The UBC-40 Urothelial Bladder Cancer cell line index: a genomic resource for functional studies
|
|---|---|
| Published in |
BMC Genomics, May 2015
|
| DOI | 10.1186/s12864-015-1450-3 |
| Pubmed ID | |
| Authors |
Julie Earl, Daniel Rico, Enrique Carrillo-de-Santa-Pau, Benjamín Rodríguez-Santiago, Marinela Méndez-Pertuz, Herbert Auer, Gonzalo Gómez, Herbert Barton Grossman, David G Pisano, Wolfgang A Schulz, Luis A Pérez-Jurado, Alfredo Carrato, Dan Theodorescu, Stephen Chanock, Alfonso Valencia, Francisco X Real |
| Abstract |
Urothelial bladder cancer is a highly heterogeneous disease. Cancer cell lines are useful tools for its study. This is a comprehensive genomic characterization of 40 urothelial bladder carcinoma (UBC) cell lines including information on origin, mutation status of genes implicated in bladder cancer (FGFR3, PIK3CA, TP53, and RAS), copy number alterations assessed using high density SNP arrays, uniparental disomy (UPD) events, and gene expression. Based on gene mutation patterns and genomic changes we identify lines representative of the FGFR3-driven tumor pathway and of the TP53/RB tumor suppressor-driven pathway. High-density array copy number analysis identified significant focal gains (1q32, 5p13.1-12, 7q11, and 7q33) and losses (i.e. 6p22.1) in regions altered in tumors but not previously described as affected in bladder cell lines. We also identify new evidence for frequent regions of UPD, often coinciding with regions reported to be lost in tumors. Previously undescribed chromosome X losses found in UBC lines also point to potential tumor suppressor genes. Cell lines representative of the FGFR3-driven pathway showed a lower number of UPD events. Overall, there is a predominance of more aggressive tumor subtypes among the cell lines. We provide a cell line classification that establishes their relatedness to the major molecularly-defined bladder tumor subtypes. The compiled information should serve as a useful reference to the bladder cancer research community and should help to select cell lines appropriate for the functional analysis of bladder cancer genes, for example those being identified through massive parallel sequencing. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 75% |
| Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 2% |
| Spain | 1 | <1% |
| Austria | 1 | <1% |
| Unknown | 125 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 35 | 27% |
| Student > Ph. D. Student | 21 | 16% |
| Student > Master | 12 | 9% |
| Student > Doctoral Student | 7 | 5% |
| Student > Bachelor | 6 | 5% |
| Other | 19 | 15% |
| Unknown | 29 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 44 | 34% |
| Agricultural and Biological Sciences | 24 | 19% |
| Medicine and Dentistry | 16 | 12% |
| Engineering | 4 | 3% |
| Computer Science | 3 | 2% |
| Other | 7 | 5% |
| Unknown | 31 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 26 February 2016.
All research outputs
#14,225,412
of 22,805,349 outputs
Outputs from BMC Genomics
#5,699
of 10,650 outputs
Outputs of similar age
#139,047
of 267,780 outputs
Outputs of similar age from BMC Genomics
#147
of 251 outputs
Altmetric has tracked 22,805,349 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,650 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
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We're also able to compare this research output to 251 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.