Evidence map›Paper›PMID 27414037›Full record

ArticlePloS one2016

Technical Advances of the Recombinant Antibody Microarray Technology Platform for Clinical Immunoproteomics.

Payam Delfani, Linda Dexlin Mellby, Malin Nordström, Andreas Holmér, Mattias Ohlsson, Carl A K Borrebaeck, Christer Wingren

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Protein Microarrays for Ocular Diseases.Methods in molecular biology (Clifton, N.J.) · 2021
    Review
  5. protGear: A protein microarray data pre-processing suite.Computational and structural biotechnology journal · 2021
    Article
  6. Article
  7. Article
  8. The role of proteomics in the age of immunotherapies.Mammalian genome : official journal of the International Mammalian Genome Society · 2018
    Review
  9. Article
  10. Review
  11. Article
  12. Article
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

7 authors.

Payam DelfaniDepartment of Immunotechnology and CREATE Health, Lund University, Medicon Village, Lund, Sweden.
Linda Dexlin MellbyDepartment of Immunotechnology and CREATE Health, Lund University, Medicon Village, Lund, Sweden.
Malin NordströmImmunovia AB, Lund, Sweden.
Andreas HolmérImmunovia AB, Lund, Sweden.
Mattias OhlssonComputational Biology & Biological Physics, Department of Astronomy and Theoretical Physics, Lund University, Lund, Sweden.
Carl A K BorrebaeckDepartment of Immunotechnology and CREATE Health, Lund University, Medicon Village, Lund, Sweden.
Christer WingrenDepartment of Immunotechnology and CREATE Health, Lund University, Medicon Village, Lund, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the quest for deciphering disease-associated biomarkers, high-performing tools for multiplexed protein expression profiling of crude clinical samples will be crucial. Affinity proteomics, mainly represented by antibody-based microarrays, have during recent years been established as a proteomic tool providing unique opportunities for parallelized protein expression profiling. But despite the progress, several main technical features and assay procedures remains to be (fully) resolved. Among these issues, the handling of protein microarray data, i.e. the biostatistics parts, is one of the key features to solve. In this study, we have therefore further optimized, validated, and standardized our in-house designed recombinant antibody microarray technology platform. To this end, we addressed the main remaining technical issues (e.g. antibody quality, array production, sample labelling, and selected assay conditions) and most importantly key biostatistics subjects (e.g. array data pre-processing and biomarker panel condensation). This represents one of the first antibody array studies in which these key biostatistics subjects have been studied in detail. Here, we thus present the next generation of the recombinant antibody microarray technology platform designed for clinical immunoproteomics.

Indexed as

AntibodiesBiomarkersBiostatisticsHigh-Throughput Screening AssaysHumansImmunogenetic PhenomenaProtein Array AnalysisProteomicsQuality ControlRecombinant ProteinsAntibodiesBiomarkersRecombinant Proteins

Identifiers

PMID27414037
PMCPMC4944972

What OpenQuestion holds

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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.