Evidence map›Paper›PMID 20164060›Full record

ArticleMolecular & cellular proteomics : MCP2010

Dual-color proteomic profiling of complex samples with a microarray of 810 cancer-related antibodies.

Christoph Schröder, Anette Jacob, Sarah Tonack, Tomasz P Radon, Martin Sill, Manuela Zucknick, Sven Rüffer, Eithne Costello, John P Neoptolemos, Tatjana Crnogorac-Jurcevic and 3 more

Abstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

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  16. Contributions of immunoaffinity chromatography to deep proteome profiling of human biofluids.Journal of chromatography. B, Analytical technologies in the biomedical and life sciences · 2016
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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

13 authors.

Christoph SchröderDivision of Functional Genome Analysis, Deutsches Krebsforschungszentrum, 69120 Heidelberg, Germany. christoph.schroeder@dkfz.de
Anette Jacob
Sarah Tonack
Tomasz P Radon
Martin Sill
Manuela Zucknick
Sven Rüffer
Eithne Costello
John P Neoptolemos
Tatjana Crnogorac-Jurcevic
Andrea Bauer
Kurt Fellenberg
Jörg D Hoheisel

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibody microarrays have the potential to enable comprehensive proteomic analysis of small amounts of sample material. Here, protocols are presented for the production, quality assessment, and reproducible application of antibody microarrays in a two-color mode with an array of 1,800 features, representing 810 antibodies that were directed at 741 cancer-related proteins. In addition to measures of array quality, we implemented indicators for the accuracy and significance of dual-color detection. Dual-color measurements outperform a single-color approach concerning assay reproducibility and discriminative power. In the analysis of serum samples, depletion of high-abundance proteins did not improve technical assay quality. On the contrary, depletion introduced a strong bias in protein representation. In an initial study, we demonstrated the applicability of the protocols to proteins derived from urine samples. We identified differences between urine samples from pancreatic cancer patients and healthy subjects and between sexes. This study demonstrates that biomedically relevant data can be produced. As demonstrated by the thorough quality analysis, the dual-color antibody array approach proved to be competitive with other proteomic techniques and comparable in performance to transcriptional microarray analyses.

Indexed as

Antibodies, NeoplasmBiological AssayCase-Control StudiesColorHumansNeoplasmsPancreatic NeoplasmsProtein Array AnalysisProteomeProteomicsQuality ControlAntibodies, NeoplasmProteome

Identifiers

PMID20164060
PMCPMC2877986

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Registered trials

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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.