Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=26589293
&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215
TCLP: an online cancer cell line catalogue integrating HLA type, predicted
neo-epitopes, virus and gene expression
#MMPMID26589293
Scholtalbers J
; Boegel S
; Bukur T
; Byl M
; Goerges S
; Sorn P
; Loewer M
; Sahin U
; Castle JC
Genome Med
2015[Nov]; 7
(?): 118
PMID26589293
show ga
Human cancer cell lines are an important resource for research and drug
development. However, the available annotations of cell lines are sparse,
incomplete, and distributed in multiple repositories. Re-analyzing publicly
available raw RNA-Seq data, we determined the human leukocyte antigen (HLA) type
and abundance, identified expressed viruses and calculated gene expression of
1,082 cancer cell lines. Using the determined HLA types, public databases of cell
line mutations, and existing HLA binding prediction algorithms, we predicted
antigenic mutations in each cell line. We integrated the results into a
comprehensive knowledgebase. Using the Django web framework, we provide an
interactive user interface with advanced search capabilities to find and explore
cell lines and an application programming interface to extract cell line
information. The portal is available at http://celllines.tron-mainz.de.
free
free
free
