Evidence map›Paper›PMID 23034105›Full record

ReviewClinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases2013

Applying proteomic technology to clinical virology.

C Mancone, F Ciccosanti, C Montaldo, A B Perdomo, M Piacentini, T Alonzi, G M Fimia, M Tripodi

Abstract readReview
In one paragraph

Review in Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Proteomics technology - a powerful tool for the biomedical scientists.The Malaysian journal of medical sciences : MJMS · 2013
    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

8 authors.

C Mancone'Lazzaro Spallanzani' National Institute for Infectious Diseases I.R.C.C.S.; Department of Cellular Biotechnologies and Haematology, Istituto Pasteur-Fondazione Cenci Bolognetti, Sapienza University of Rome. Electronic address: tripodi@bce.uniroma1.it.
F Ciccosanti'Lazzaro Spallanzani' National Institute for Infectious Diseases I.R.C.C.S.
C Montaldo'Lazzaro Spallanzani' National Institute for Infectious Diseases I.R.C.C.S.; Department of Cellular Biotechnologies and Haematology, Istituto Pasteur-Fondazione Cenci Bolognetti, Sapienza University of Rome.
A B Perdomo'Lazzaro Spallanzani' National Institute for Infectious Diseases I.R.C.C.S.
M Piacentini'Lazzaro Spallanzani' National Institute for Infectious Diseases I.R.C.C.S.; Department of Biology, University of Rome 'Tor Vergata', Rome, Italy.
T Alonzi'Lazzaro Spallanzani' National Institute for Infectious Diseases I.R.C.C.S.
G M Fimia'Lazzaro Spallanzani' National Institute for Infectious Diseases I.R.C.C.S.
M Tripodi'Lazzaro Spallanzani' National Institute for Infectious Diseases I.R.C.C.S.; 'Lazzaro Spallanzani' National Institute for Infectious Diseases I.R.C.C.S.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Developing antiviral drugs, vaccines and diagnostic markers is still the most ambitious challenge in clinical virology. In the past few decades, data from high-throughput technologies have allowed for the rapid development of new antiviral therapeutic strategies, thus making a profound impact on translational research. Most of the current preclinical studies in virology are aimed at evaluating the dynamic composition and localization of the protein platforms involved in various host-virus interactions. Among the different possible approaches, mass spectrometry-based proteomics is increasingly being used to define the protein composition in subcellular compartments, quantify differential protein expression among samples, characterize protein complexes, and analyse protein post-translational modifications. Here, we review the current knowledge of the most useful proteomic approaches in the study of viral persistence and pathogenicity, with a particular focus on recent advances in hepatitis C research.

Indexed as

HepacivirusHepatitis CHost-Pathogen InteractionsHumansProteomicsVirology

Identifiers

PMID23034105
PMCPMC7129767

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.