Evidence map›Paper›PMID 30554402›Full record

ReviewJournal of molecular neuroscience : MN2019

The Challenge to Search for New Nervous System Disease Biomarker Candidates: the Opportunity to Use the Proteogenomics Approach.

Thais Guimarães Martins Nery, Esdras Matheus Silva, Raphael Tavares, Fabio Passetti

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of molecular neuroscience : MN, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. 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.

Thais Guimarães Martins NeryLaboratory of Functional Genomics and Bioinformatics, Oswaldo Cruz Institute, Fundação Oswaldo Cruz (Fiocruz), Manguinhos, Rio de Janeiro, Brazil.
Esdras Matheus SilvaLaboratory of Functional Genomics and Bioinformatics, Oswaldo Cruz Institute, Fundação Oswaldo Cruz (Fiocruz), Manguinhos, Rio de Janeiro, Brazil.
Raphael TavaresDepartamento de Bioquímica e Imunologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Minas Gerais, Brazil.
Fabio PassettiLaboratory of Functional Genomics and Bioinformatics, Oswaldo Cruz Institute, Fundação Oswaldo Cruz (Fiocruz), Manguinhos, Rio de Janeiro, Brazil. fabio.passetti@fiocruz.br.ORCID http://orcid.org/0000-0001-5672-7848

Funding

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior Finance Code 001; M.Sc. scholarshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior Finance Code 001; Ph.D. scholarshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior Finance Code 001; postdoctoral fellowshipFundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro E-26/203.229/2016
6 · The paper itself

Abstract

Alzheimer's disease, Parkinson's disease, prion diseases, schizophrenia, and multiple sclerosis are the most common nervous system diseases, affecting millions of people worldwide. The current scientific literature associates these pathological conditions to abnormal expression levels of certain proteins, which in turn improved the knowledge concerning normal and affected brains. However, there is no available cure or preventive therapy for any of these disorders. Proteogenomics is a recent approach defined as the data integration of both nucleotide high-throughput sequencing and protein mass spectrometry technologies. In the last years, proteogenomics studies in distinct diseases have emerged as a strategy for the identification of uncharacterized proteoforms, which are all the different protein forms derived from a single gene. For many of these diseases, at least one protein used as biomarker presents more than one proteoform, which fosters the analysis of publicly available data focusing proteoforms. Given this context, we describe the most important biomarkers for each neurodegenerative disease and how genomics, transcriptomics, and proteomics separately contributed to unveil them. Finally, we present a selection of proteogenomics studies in which the combination of nucleotide and proteome high-throughput data, from cell lines or brain tissue samples, is used to uncover proteoforms not previously described. We believe that this new approach may improve our knowledge about nervous system diseases and brain function and an opportunity to identify new biomarker candidates.

Indexed as

AnimalsBiomarkersHumansMolecular Diagnostic TechniquesNervous System DiseasesProteogenomicsBiomarkersNervous system diseasesProteoformProteogenomicsProteomicsRNA-Seq

Identifiers

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.