Evidence map›Paper›PMID 22438764›Full record

ReviewSensors (Basel, Switzerland)2012

Biomarker discovery by novel sensors based on nanoproteomics approaches.

Noelia Dasilva, Paula Díez, Sergio Matarraz, María González-González, Sara Paradinas, Alberto Orfao, Manuel Fuentes

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Data Analysis Strategies for Protein Microarrays.Microarrays (Basel, Switzerland) · 2012
    Review
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.

Noelia DasilvaCentro de Investigación del Cáncer/IBMCC (USAL/CSIC), Departamento de Medicina and Servicio General de Citometría, University of Salamanca, Salamanca 37007, Spain. noeliadf@usal.es
Paula Díez
Sergio Matarraz
María González-González
Sara Paradinas
Alberto Orfao
Manuel Fuentes

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the last years, proteomics has facilitated biomarker discovery by coupling high-throughput techniques with novel nanosensors. In the present review, we focus on the study of label-based and label-free detection systems, as well as nanotechnology approaches, indicating their advantages and applications in biomarker discovery. In addition, several disease biomarkers are shown in order to display the clinical importance of the improvement of sensitivity and selectivity by using nanoproteomics approaches as novel sensors.

Indexed as

Biosensing TechniquesTransducersBiomarkersEquipment DesignEquipment Failure AnalysisNanotechnologyProtein Array AnalysisProteomicsBiomarkersbiomarkercancerhigh-throughput techniquesmicroarraynanosensorproteomics

Identifiers

PMID22438764
PMCPMC3304166

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.