Evidence map›Paper›PMID 33687711›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2021

SWATH-MS Protocols in Human Diseases.

Maria Del Pilar Chantada-Vázquez, María García Vence, Antonio Serna, Cristina Núñez, Susana B Bravo

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Article
  5. Article
  6. Signature Proteins in Small Extracellular Vesicles of Granulocytes and CD4International journal of molecular sciences · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Tear Proteomics in Keratoconus: A Quantitative SWATH-MS Analysis.Investigative ophthalmology & visual science · 2021
    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

5 authors.

Maria Del Pilar Chantada-Vázquez *Research Unit, Hospital Universitario Lucus Augusti (HULA), Servizo Galego de Saúde (SERGAS), Lugo, Spain.
María García Vence *Proteomic Unit, Instituto de Investigaciones Sanitarias-IDIS, Complejo Hospitalario Universitario de Santiago de Compostela (CHUS), Santiago de Compostela, Spain.
Antonio SernaSciex, Madrid, Spain.
Cristina NúñezResearch Unit, Hospital Universitario Lucus Augusti (HULA), Servizo Galego de Saúde (SERGAS), Lugo, Spain. cristina.nunez.gonzalez@sergas.es.
Susana B BravoProteomic Unit, Instituto de Investigaciones Sanitarias-IDIS, Complejo Hospitalario Universitario de Santiago de Compostela (CHUS), Santiago de Compostela, Spain. Susana.belen.bravo.lopez@sergas.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identification of molecular biomarkers for human diseases is one of the most important disciplines in translational science as it helps to elucidate their origin and early progression. Thus, it is a key factor in better diagnosis, prognosis, and treatment. Proteomics can help to solve the problem of sample complexity when the most common primary sample specimens were analyzed: organic fluids of easy access. The latest developments in high-throughput and label-free quantitative proteomics (SWATH-MS), together with more advanced liquid chromatography, have enabled the analysis of large sample sets with the sensitivity and depth needed to succeed in this task. In this chapter, we show different sample processing methods (major protein depletion, digestion, etc.) and a micro LC-SWATH-MS protocol to identify/quantify several proteins in different types of samples (serum/plasma, saliva, urine, tears).

Indexed as

BiomarkersBlood ProteinsHumansMass SpectrometryProteinsProteinuriaProteomeProteomicsSalivaSpecimen HandlingTearsBiomarkersBlood ProteinsProteinsProteomeBiological fluidsLabel-free quantificationNanoproteomicsSalivaSerum/plasmaSWATH-MSTearsUrine

Identifiers

PMID33687711

What OpenQuestion holds

Textmetadata
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.