Evidence map›Paper›PMID 25775160›Full record

ReviewInternational journal of molecular sciences2015

Methodologies and perspectives of proteomics applied to filamentous fungi: from sample preparation to secretome analysis.

Linda Bianco, Gaetano Perrotta

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
12.9field-weighted citation impact, top 2% of its field
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

19 citing papers in PubMed, 71 citations in OpenAlex.

  1. Comprehensive Proteomic Profiling ofCurrent issues in molecular biology · 2026
    Article
  2. Review
  3. Proteomic Strategies on the Management of Phytopathogenic Fungi.Journal of fungi (Basel, Switzerland) · 2025
    Review
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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

2 authors at 2 institutions in 1 country.

Linda BiancoUTTRI-GENER Genetics and Genomics for Energy and Environment Laboratory-ENEA TRISAIA Research Center, 75025 Rotondella (Matera), Italy. linda.bianco@enea.it.
Gaetano PerrottaUTTRI-GENER Genetics and Genomics for Energy and Environment Laboratory-ENEA TRISAIA Research Center, 75025 Rotondella (Matera), Italy. gaetano.perrotta@enea.it.
ENEA Trisaia Research CentreNational Agency for New Technologies, Energy and Sustainable Economic Development · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Filamentous fungi possess the extraordinary ability to digest complex biomasses and mineralize numerous xenobiotics, as consequence of their aptitude to sensing the environment and regulating their intra and extra cellular proteins, producing drastic changes in proteome and secretome composition. Recent advancement in proteomic technologies offers an exciting opportunity to reveal the fluctuations of fungal proteins and enzymes, responsible for their metabolic adaptation to a large variety of environmental conditions. Here, an overview of the most commonly used proteomic strategies will be provided; this paper will range from sample preparation to gel-free and gel-based proteomics, discussing pros and cons of each mentioned state-of-the-art technique. The main focus will be kept on filamentous fungi. Due to the biotechnological relevance of lignocellulose degrading fungi, special attention will be finally given to their extracellular proteome, or secretome. Secreted proteins and enzymes will be discussed in relation to their involvement in bio-based processes, such as biomass deconstruction and mycoremediation.

Indexed as

ProteomicsElectrophoresis, Polyacrylamide GelEnzymesFungiLigninEnzymesLigninlignocellulose

Identifiers

PMID25775160
PMCPMC4394507
OpenAlexW1988769387

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.