Evidence map›Paper›PMID 31290325›Full record

ArticleAnalytical chemistry2019

Nanodiamond for Sample Preparation in Proteomics.

Felipe Perona Martinez, Andreas Nagl, Sona Guluzade, Romana Schirhagl

Abstract read
In one paragraph

Article in Analytical chemistry, 2019. 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
–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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Targeting Nanodiamonds to the Nucleus in Yeast Cells.Nanomaterials (Basel, Switzerland) · 2020
    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

4 authors.

Felipe Perona MartinezGroningen University, University Medical Center Groningen , Antonius Deusinglaan 1 , 9713 AW Groningen , The Netherlands.
Andreas NaglGroningen University, University Medical Center Groningen , Antonius Deusinglaan 1 , 9713 AW Groningen , The Netherlands.
Sona GuluzadeGroningen University, University Medical Center Groningen , Antonius Deusinglaan 1 , 9713 AW Groningen , The Netherlands.
Romana SchirhaglGroningen University, University Medical Center Groningen , Antonius Deusinglaan 1 , 9713 AW Groningen , The Netherlands.ORCID 0000-0002-8749-1054

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein analysis of potential disease markers in blood is complicated by the fact that proteins in plasma show very different abundances. As a result, high-abundance proteins dominate the analysis, which often render the analysis of low-abundance proteins impossible. Depleting high-abundance proteins is one strategy to solve this problem. Here, we present, for the first time, a very simple approach based on selective binding of serum proteins to the surface of nanodiamonds. In our first proof-of-principle experiments, we were able to detect, on average, eight proteins that are present at a concentration of 1 ng/mL (instead of 0.5 ng/mL in the control without sample preparation). Remarkably, we detect proteins down to a concentration of 400 pg/mL after only one simple depletion step. Among the proteins we could analyze are also numerous disease biomarkers, including markers for multiple cancer forms, cardiovascular diseases, or Alzheimer's disease. Remarkably, many of the biomarkers we find also could not be detected with a state-of-the-art ultrahigh-performance liquid chromatography column (which depletes the 64 most-abundant serum proteins).

Indexed as

Analytic Sample Preparation MethodsModels, MolecularNanodiamondsProtein ConformationProteomicsNanodiamonds

Identifiers

PMID31290325
PMCPMC6686154

What OpenQuestion holds

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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.