Evidence map›Paper›PMID 19348683›Full record

ArticleProteome science2009

Development of reverse phase protein microarrays for the validation of clusterin, a mid-abundant blood biomarker.

Adriana Aguilar-Mahecha, Christiane Cantin, Maureen O'Connor-McCourt, Andre Nantel, Mark Basik

Open access · goldAbstract read
In one paragraph

Article in Proteome science, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 19% of its field
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

6 citing papers in PubMed, 23 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Adriana Aguilar-Mahecha *Lady Davis Institute for Biomedical Research, Department of Oncology, Montréal, Québec, H3T 1E2, Canada.
Christiane Cantin *Biotechnology Research Institute, National Research Council of Canada, Montréal, Québec, H4P 2R2, Canada.
Maureen O'Connor-McCourtBiotechnology Research Institute, National Research Council of Canada, Montréal, Québec, H4P 2R2, Canada.
Andre NantelBiotechnology Research Institute, National Research Council of Canada, Montréal, Québec, H4P 2R2, Canada.
Mark BasikLady Davis Institute for Biomedical Research, Department of Oncology, Montréal, Québec, H3T 1E2, Canada.
Biotechnology Research Institute · CAJewish General Hospital · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMany putative disease blood biomarkers discovered in genomic and proteomic studies await validation in large clinically annotated cohorts of patient samples. ELISA assays require large quantities of precious blood samples and are not high-throughput. The reverse phase protein microarray platform has been developed for the high-throughput quantification of protein levels in small amounts of clinical samples.

resultsIn the present study we present the development of reverse-phase protein microarrays (RPPMs) for the measurement of clusterin, a mid-abundant blood biomarker. An experimental protocol was optimized for the printing of serum and plasma on RPPMs using epoxy coated microscope slides and a non-denaturing printing buffer. Using fluorescent-tagged secondary antibodies, we achieved the reproducible detection of clusterin in spotted serum and plasma and reached a limit of detection of 780 ng/mL. Validation studies using both spiked clusterin and clinical samples showed excellent correlations with ELISA measurements of clusterin.

conclusionSerum and plasma spotted in the reverse phase array format allow for reliable and reproducible high-throughput validation of a mid-abundant blood biomarker such as clusterin.

Identifiers

PMID19348683
PMCPMC2672067
OpenAlexW2158010301

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.