Evidence map›Paper›PMID 26589293›Full record

ArticleGenome medicine2015

TCLP: an online cancer cell line catalogue integrating HLA type, predicted neo-epitopes, virus and gene expression.

Jelle Scholtalbers, Sebastian Boegel, Thomas Bukur, Marius Byl, Sebastian Goerges, Patrick Sorn, Martin Loewer, Ugur Sahin, John C Castle

Abstract read
In one paragraph

Article in Genome medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

60 citing papers in PubMed.

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  9. Humanized mouse models ofOncoimmunology · 2025
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  16. MutatedFrontiers in immunology · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Jelle ScholtalbersTRON - Translational Oncology at the University Medical Center of Johannes Gutenberg University, Freiligrathstrasse 12, 55131, Mainz, Germany.
Sebastian BoegelTRON - Translational Oncology at the University Medical Center of Johannes Gutenberg University, Freiligrathstrasse 12, 55131, Mainz, Germany. boegels@uni-mainz.de.
Thomas BukurTRON - Translational Oncology at the University Medical Center of Johannes Gutenberg University, Freiligrathstrasse 12, 55131, Mainz, Germany.
Marius BylTRON - Translational Oncology at the University Medical Center of Johannes Gutenberg University, Freiligrathstrasse 12, 55131, Mainz, Germany.
Sebastian GoergesTRON - Translational Oncology at the University Medical Center of Johannes Gutenberg University, Freiligrathstrasse 12, 55131, Mainz, Germany.
Patrick SornTRON - Translational Oncology at the University Medical Center of Johannes Gutenberg University, Freiligrathstrasse 12, 55131, Mainz, Germany.
Martin LoewerTRON - Translational Oncology at the University Medical Center of Johannes Gutenberg University, Freiligrathstrasse 12, 55131, Mainz, Germany.
Ugur SahinTRON - Translational Oncology at the University Medical Center of Johannes Gutenberg University, Freiligrathstrasse 12, 55131, Mainz, Germany.
John C CastleTRON - Translational Oncology at the University Medical Center of Johannes Gutenberg University, Freiligrathstrasse 12, 55131, Mainz, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Cell Line, TumorDatabases, GeneticOnline SystemsAlgorithmsComputational BiologyDatabases, Nucleic AcidEpitopesGene ExpressionHCT116 CellsHLA AntigensHumansInformation SystemsInternetMutationNeoplasmsUser-Computer InterfaceEpitopesHLA Antigens

Identifiers

PMID26589293
PMCPMC4653878

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.