The ecological niche occupied by a fungal species, its pathogenicity and its usefulness as a microbial cell factory to a large degree depends on its secretome. Protein secretion usually requires the presence of a N- terminal signal peptide (SP) and by scanning for this feature using available highly accurate SP-prediction tools, the fraction of potentially secreted proteins can be directly predicted. However, prediction of a SP does not guarantee that the protein is actually secreted and current in silico prediction methods suffer from gene-model errors introduced during genome annotation.We were able to improve the in silico inventory of A. niger secretory proteins by combining different gene-model predictions from neighbouring Aspergilli and thereby avoiding prediction conflicts associated with inaccurate gene-models. The expected accuracy of signal peptide prediction for proteins that lack homologous sequences in the proteomes of related species is 85%. An experimental validation of the predicted proteome confirmed in silico predictions.
Programme: IBISBA 2020 f2f
SEEK ID: https://ibisbahub.eu/projects/14
Public web page: Not specified
Organisms: Aspergillus niger
IBISBA PALs: No PALs for this Project
Project start date: 1st Jul 2019
Project end date: 31st Dec 2019
Related items
- People (3)
- Programmes (1)
- Institutions (3)
- Investigations (1)
- Studies (4)
- Assays (9)
- Data files (3)
- Publications (1)
- Sample types (0+1)
Projects: Uncurated Protocols Library, TRANSCRIPTPROM - Integrative and comparative analyses of response of Pichia pastoris, FLOX: FLavin-containing OXidoreductases, PlanOvac, Muconic Acid Production, HIGHFLUX, Promoters 4 Pichia, An inventory of the Aspergillus niger secretome by combining in silico predictions with shotgun proteomics data, Template library, Evocolour - The evolution and genetics of Flavobacteria forming structurally coloured colonies for sustainable biomaterials, Extreme - Genomic approach for extremozymes screening of thermophilic/anaerobic Caldicoprobacter algerensis strain, HMOzyme, PILOT-MP - Pilot scale process development for microbial proteins, UMB - Upscaling and optimisation of microalgae production for bivalves hatchery, Public announcements and documents, IBISBA Library, Biocare, MEOX, Coculture, YarroFuels, PlasticPutida, Lipro-alga, Curated Protocols Library, IBISBA 1.0 deliverables, PREP-IBISBA deliverables, Cyanofcs, Example testing project
Institutions: Administration, UNIMAN - The University of Manchester
Projects: Uncurated Protocols Library, FLOX: FLavin-containing OXidoreductases, PlanOvac, HIGHFLUX, SporeDel, Yeast Glycerol, Galambr, SULFOCEL, An inventory of the Aspergillus niger secretome by combining in silico predictions with shotgun proteomics data, Template library, Muconic Acid Production in Yeast, IBISBA 1.0 deliverables, PREP-IBISBA deliverables, Biocare, test, DBTL-P, Upscale of the biocatalytic transformation of Free Fatty Acids into high-value products (BIOFFA), B-PAC, BIOFFA, GLYCOMICS, KorallionBio, MAROX, PROTEIFROM, SUPI
Institutions: UNIMAN - The University of Manchester, UAB - Universitat Autònoma de Barcelona, CNR - Consiglio Nazionale delle Ricerche, INSAT - Institut National des Science Appliquees de Toulouse, VTT - Teknologian tutkimuskeskus VTT Oy, VITO - Vlaamse Instelling voor Technologisch Onderzoek N.V.
Projects: Uncurated Protocols Library, Muconic Acid Production, An inventory of the Aspergillus niger secretome by combining in silico predictions with shotgun proteomics data, Template library, Coculture, IBISBA 1.0 deliverables, PREP-IBISBA deliverables, Industrial pencilin simulator, Sandbox
Institutions: WUR - Wageningen University & Research, UNLOCK
https://orcid.org/0000-0001-8172-8981Files and projects to support the IBISBA 2020 f2f
Projects: An inventory of the Aspergillus niger secretome by combining in silico predictions with shotgun proteomics data, Example testing project
Web page: Not specified
Submitter: Munazah Andrabi
Studies: Culture experiments, In-Silico Prediction, Metabolic model analysis, Validation of the secretome of Aspergillus niger
Assays: GPI Anchor Predictions, Growth experiment, Identify enzymes from spectra, Liquid chromatography tandem mass spectrometry, Mass Spectrometry Analysis, Obtain metabolic model, Obtain proteomes, Orthology identification, Signal Peptide Predictions
Snapshots: Snapshot 1
Submitter: Munazah Andrabi
Investigation: In-silico prediction and mass spectrometric val...
Assays: Identify enzymes from spectra, Obtain metabolic model
Snapshots: Snapshot 1, Snapshot 2
Submitter: Munazah Andrabi
Investigation: In-silico prediction and mass spectrometric val...
Assays: Mass Spectrometry Analysis
Snapshots: No snapshots
Submitter: Munazah Andrabi
Investigation: In-silico prediction and mass spectrometric val...
Assays: Growth experiment, Liquid chromatography tandem mass spectrometry
Snapshots: No snapshots
A majority rule based classifier that evaluates signal peptide (SP) predictions from the best homologs of three neighbouring Aspergillus species was developed to create an improved list of potential signal peptide containing proteins encoded by the Aspergillus niger genome.
Submitter: Munazah Andrabi
Investigation: In-silico prediction and mass spectrometric val...
Assays: GPI Anchor Predictions, Obtain proteomes, Orthology identification, Signal Peptide Predictions
Snapshots: No snapshots
Submitter: Munazah Andrabi
Assay type: Comparative Genomics
Technology type: Next generation sequencing
Investigation: In-silico prediction and mass spectrometric val...
Study: In-Silico Prediction
Organisms: No organisms
SOPs: No SOPs
Data files: No Data files
Snapshots: No snapshots
Submitter: Munazah Andrabi
Assay type: Experimental Assay Type
Technology type: Technology Type
Investigation: In-silico prediction and mass spectrometric val...
Study: In-Silico Prediction
Organisms: No organisms
SOPs: No SOPs
Data files: Aspergillus niger CBS513.88 protein model verif..., Aspergillus niger centered protein clusters wit...
Snapshots: No snapshots
Submitter: Munazah Andrabi
Assay type: Experimental Assay Type
Technology type: Technology Type
Investigation: In-silico prediction and mass spectrometric val...
Study: In-Silico Prediction
Organisms: No organisms
SOPs: No SOPs
Data files: No Data files
Snapshots: No snapshots
Submitter: Munazah Andrabi
Assay type: Experimental Assay Type
Technology type: Technology Type
Investigation: In-silico prediction and mass spectrometric val...
Study: In-Silico Prediction
Organisms: No organisms
SOPs: No SOPs
Data files: No Data files
Snapshots: No snapshots
Submitter: Munazah Andrabi
Assay type: Experimental Assay Type
Technology type: Technology Type
Investigation: In-silico prediction and mass spectrometric val...
Study: Culture experiments
Organisms: No organisms
SOPs: No SOPs
Data files: No Data files
Snapshots: No snapshots
Creator: Munazah Andrabi
Submitter: Munazah Andrabi
Investigations: In-silico prediction and mass spectrometric val...
Studies: In-Silico Prediction
Assays: Signal Peptide Predictions
Creator: Munazah Andrabi
Submitter: Munazah Andrabi
Investigations: In-silico prediction and mass spectrometric val...
Studies: In-Silico Prediction
Assays: Signal Peptide Predictions
Creator: Munazah Andrabi
Submitter: Munazah Andrabi
Abstract (Expand)
Authors: Machtelt Braaksma, Elena S Martens-Uzunova, Peter J Punt, Peter J Schaap
Date Published: 1st Dec 2010
Publication Type: Journal