Evidence map›Paper›PMID 22171321›Full record

ArticleMolecular & cellular proteomics : MCP2012

Antibody colocalization microarray: a scalable technology for multiplex protein analysis in complex samples.

M Pla-Roca, R F Leulmi, S Tourekhanova, S Bergeron, V Laforte, E Moreau, S J C Gosline, N Bertos, M Hallett, M Park and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

34 citing papers in PubMed, 84 citations in OpenAlex.

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  10. The acute respiratory distress syndrome biomarker pipeline: crippling gaps between discovery and clinical utility.Translational research : the journal of laboratory and clinical medicine · 2020
    Review
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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

11 authors at 3 institutions in 1 country.

M Pla-RocaBiomedical Engineering Department, McGill University, Montreal, Quebec, Canada.
R F Leulmi
S Tourekhanova
S Bergeron
V Laforte
E Moreau
S J C Gosline
N Bertos
M Hallett
M Park
D Juncker
McGill University and Génome Québec Innovation Centre · CAOccupational Cancer Research Centre · CAMcGill University Health Centre · CA

Funding

Canadian Institutes of Health Research
6 · The paper itself

Abstract

DNA microarrays were rapidly scaled up from 256 to 6.5 million targets, and although antibody microarrays were proposed earlier, sensitive multiplex sandwich assays have only been scaled up to a few tens of targets. Cross-reactivity, arising because detection antibodies are mixed, is a known weakness of multiplex sandwich assays that is mitigated by lengthy optimization. Here, we introduce (1) vulnerability as a metric for assays. The vulnerability of multiplex sandwich assays to cross-reactivity increases quadratically with the number of targets, and together with experimental results, substantiates that scaling up of multiplex sandwich assays is unfeasible. We propose (2) a novel concept for multiplexing without mixing named antibody colocalization microarray (ACM). In ACMs, both capture and detection antibodies are physically colocalized by spotting to the same two-dimensional coordinate. Following spotting of the capture antibodies, the chip is removed from the arrayer, incubated with the sample, placed back onto the arrayer and then spotted with the detection antibodies. ACMs with up to 50 targets were produced, along with a binding curve for each protein. The ACM was validated by comparing it to ELISA and to a small-scale, conventional multiplex sandwich assay (MSA). Using ACMs, proteins in the serum of breast cancer patients and healthy controls were quantified, and six candidate biomarkers identified. Our results indicate that ACMs are sensitive, robust, and scalable.

Indexed as

AdultAgedAntibodiesBiomarkers, TumorBlood ProteinsBreast NeoplasmsEnzyme-Linked Immunosorbent AssayFemaleHumansMiddle AgedNeoplasm ProteinsProtein Array AnalysisReproducibility of ResultsAntibodiesBiomarkers, TumorBlood ProteinsNeoplasm Proteins

Identifiers

PMID22171321
PMCPMC3322566
OpenAlexW2145700839

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.