0000000000236568

AUTHOR

Vasilis J. Promponas

0000-0003-3352-4831

showing 7 related works from this author

Tandem repeats lead to sequence assembly errors and impose multi-level challenges for genome and protein databases

2019

AbstractThe widespread occurrence of repetitive stretches of DNA in genomes of organisms across the tree of life imposes fundamental challenges for sequencing, genome assembly, and automated annotation of genes and proteins. This multi-level problem can lead to errors in genome and protein databases that are often not recognized or acknowledged. As a consequence, end users working with sequences with repetitive regions are faced with ‘ready-to-use’ deposited data whose trustworthiness is difficult to determine, let alone to quantify. Here, we provide a review of the problems associated with tandem repeat sequences that originate from different stages during the sequencing-assembly-annotatio…

FOS: Computer and information sciencesBioinformatics[SDV]Life Sciences [q-bio]Sequence assemblyGenomics[SDV.BC]Life Sciences [q-bio]/Cellular BiologyComputational biologyBiologyGenome03 medical and health sciencesAnnotation0302 clinical medicineTandem repeatGeneticsAnimalsSurvey and SummaryDatabases ProteinGeneComputingMilieux_MISCELLANEOUS030304 developmental biology0303 health sciencesEnd user572: BiochemieDNASequence Analysis DNAGenomics[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]WorkflowComputingMethodologies_PATTERNRECOGNITIONGadus morhuaTandem Repeat SequencesScientific Experimental Error[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]Databases Nucleic Acid030217 neurology & neurosurgery
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Disentangling the complexity of low complexity proteins

2020

Abstract There are multiple definitions for low complexity regions (LCRs) in protein sequences, with all of them broadly considering LCRs as regions with fewer amino acid types compared to an average composition. Following this view, LCRs can also be defined as regions showing composition bias. In this critical review, we focus on the definition of sequence complexity of LCRs and their connection with structure. We present statistics and methodological approaches that measure low complexity (LC) and related sequence properties. Composition bias is often associated with LC and disorder, but repeats, while compositionally biased, might also induce ordered structures. We illustrate this dichot…

Protein ConformationComputer scienceReview ArticleComputational biologyMeasure (mathematics)Evolution MolecularLow complexity03 medical and health sciencesProtein DomainsAmino Acid Sequencestructure[SDV.BBM.BC]Life Sciences [q-bio]/Biochemistry Molecular Biology/Biochemistry [q-bio.BM]Databases ProteinMolecular Biology030304 developmental biologyStructure (mathematical logic)0303 health sciencesSequence[SCCO.NEUR]Cognitive science/Neurosciencecomposition bias030302 biochemistry & molecular biologyProteinsdisorderlow complexity regionsStructure and function[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]AlgorithmsInformation SystemsBriefings in Bioinformatics
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Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition)

2016

Seuls les 100 premiers auteurs dont les auteurs INRA ont été entrés dans la notice. La liste complète des auteurs et de leurs affiliations est accessible sur la publication.; International audience; In 2008 we published the first set of guidelines for standardizing research in autophagy. Since then, research on this topic has continued to accelerate, and many new scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Accordingly, it is important to update these guidelines for monitoring autophagy in different organisms. Various reviews have described the range of assays that have been used for this purpose. Nevertheless, there continues…

[SDV]Life Sciences [q-bio]autophagosomeReview Articleddc:616.07stressstreLC3MESH: AnimalsSettore MED/49 - Scienze Tecniche Dietetiche ApplicateSettore BIO/06 - Anatomia Comparata E Citologiachaperone-mediated autophagyComputingMilieux_MISCELLANEOUSSettore BIO/11Pharmacology. TherapySettore BIO/13standards [Biological Assay]autolysosomeMESH: Autophagy*/physiologylysosomemethods [Biological Assay]Biological AssaySettore BIO/17 - ISTOLOGIAErratumHumanBiochemistry & Molecular BiologySettore BIO/06physiology [Autophagy]Chaperonemediated autophagy[SDV.BC]Life Sciences [q-bio]/Cellular BiologyNOautophagy guidelines molecular biology ultrastructureautolysosome; autophagosome; chaperone-mediated autophagy; flux; LC3; lysosome; macroautophagy; phagophore; stress; vacuoleMESH: Biological Assay/methodsMESH: Computer Simulationddc:570Autolysosome Autophagosome Chaperonemediated autophagy Flux LC3 Lysosome Macroautophagy Phagophore Stress VacuoleAutophagyAnimalsHumansComputer SimulationSettore BIO/10ddc:612BiologyphagophoreMESH: HumansvacuoleAnimalLC3; autolysosome; autophagosome; chaperone-mediated autophagy; flux; lysosome; macroautophagy; phagophore; stress; vacuole; Animals; Biological Assay; Computer Simulation; Humans; Autophagy0601 Biochemistry And Cell BiologyfluxmacroautophagyMESH: Biological Assay/standards*Human medicineLC3; autolysosome; autophagosome; chaperone-mediated autophagy; flux; lysosome; macroautophagy; phagophore; stress; vacuole
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Evolutionary Study of Disorder in Protein Sequences

2020

Intrinsically disordered proteins (IDPs) contain regions lacking intrinsic globular structure (intrinsically disordered regions, IDRs). IDPs are present across the tree of life, with great variability of IDR type and frequency even between closely related taxa. To investigate the function of IDRs, we evaluated and compared the distribution of disorder content in 10,695 reference proteomes, confirming its high variability and finding certain correlation along the Euteleostomi (bony vertebrates) lineage to number of cell types. We used the comparison of orthologs to study the function of disorder related to increase in cell types, observing that multiple interacting subunits of protein comple…

intrinsically disordered regionsortholog comparisonLineage (evolution)High variabilitylcsh:QR1-502comparative genomicsBiologyIntrinsically disordered proteinsBiochemistryArticlelcsh:MicrobiologyEvolution Molecular03 medical and health sciencesSequence Analysis ProteinAnimalsDatabases ProteinMolecular Biology030304 developmental biologyComparative genomics0303 health sciences030302 biochemistry & molecular biologyEvolutionary biologyVertebratesProteomeintrinsically disordered proteinsFunction (biology)Biomolecules
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PlaToLoCo: the first web meta-server for visualization and annotation of low complexity regions in proteins

2020

Abstract Low complexity regions (LCRs) in protein sequences are characterized by a less diverse amino acid composition compared to typically observed sequence diversity. Recent studies have shown that LCRs may co-occur with intrinsically disordered regions, are highly conserved in many organisms, and often play important roles in protein functions and in diseases. In previous decades, several methods have been developed to identify regions with LCRs or amino acid bias, but most of them as stand-alone applications and currently there is no web-based tool which allows users to explore LCRs in protein sequences with additional functional annotations. We aim to fill this gap by providing PlaToL…

Sequence analysisAcademicSubjects/SCI00010Protein domainComputational biologyBiologyDomain (software engineering)Computer graphics03 medical and health sciencesAnnotationProtein DomainsSequence Analysis ProteinGeneticsComputer GraphicsHumansAmino Acids030304 developmental biology0303 health sciencesIntersection (set theory)030302 biochemistry & molecular biologyMembrane ProteinsProteinsMolecular Sequence AnnotationVisualizationMolecular Sequence AnnotationWeb Server IssueSoftwareNucleic Acids Research
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Erratum

2016

Author(s): Klionsky, DJ; Abdelmohsen, K; Abe, A; Abedin, MJ; Abeliovich, H; Arozena, AA; Adachi, H; Adams, CM; Adams, PD; Adeli, K; Adhihetty, PJ; Adler, SG; Agam, G; Agarwal, R; Aghi, MK; Agnello, M; Agostinis, P; Aguilar, PV; Aguirre-Ghiso, J; Airoldi, EM; Ait-Si-Ali, S; Akematsu, T; Akporiaye, ET; Al-Rubeai, M; Albaiceta, GM; Albanese, C; Albani, D; Albert, ML; Aldudo, J; Algul, H; Alirezaei, M; Alloza, I; Almasan, A; Almonte-Beceril, M; Alnemri, ES; Alonso, C; Altan-Bonnet, N; Altieri, DC; Alvarez, S; Alvarez-Erviti, L; Alves, S; Amadoro, G; Amano, A; Amantini, C; Ambrosio, S; Amelio, I; Amer, AO; Amessou, M; Amon, A; An, Z; Anania, FA; Andersen, SU; Andley, UP; Andreadi, CK; Andrieu-Ab…

0301 basic medicineSettore BIO/06biologyCell Biology[SDV.BC]Life Sciences [q-bio]/Cellular Biologybiology.organism_classificationCell biologyInterpretation (model theory)03 medical and health sciencesArama030104 developmental biologyMolecular BiologyHumanitiesComputingMilieux_MISCELLANEOUS
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Autophagy

2021

In 2008, we published the first set of guidelines for standardizing research in autophagy. Since then, this topic has received increasing attention, and many scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Thus, it is important to formulate on a regular basis updated guidelines for monitoring autophagy in different organisms. Despite numerous reviews, there continues to be confusion regarding acceptable methods to evaluate autophagy, especially in multicellular eukaryotes. Here, we present a set of guidelines for investigators to select and interpret methods to examine autophagy and related processes, and for reviewers to provide…

macroautophagy;autophagyAutophagosome[SDV]Life Sciences [q-bio]canceLC3 macroautophagyautophagosomeneurodegeneration;[SDV.BC]Life Sciences [q-bio]/Cellular BiologyAutophagy AutophagosomeNOstress vacuolestressautophagic processesstrerfluxLC3cancerguidelinesAutophagosome; cancer; flux; LC3; lysosome; macroautophagy; neurodegeneration; phagophore; stress; vacuoleSettore BIO/06 - Anatomia Comparata E Citologia[SDV.BC] Life Sciences [q-bio]/Cellular BiologyComputingMilieux_MISCELLANEOUSMedaka oryzias latipesphagophorevacuoleQHneurodegenerationAutophagosome cancer flux LC3 lysosome macroautophagy neurodegeneration phagophore stress vacuoleautophagy; autophagic processes; guidelines; autophagosome; cancer; flux; LC3; lysosome; macroautophagy; neurodegeneration; phagophore; stress; vacuolefluxmacroautophagystress.lysosomeAutophagosome; LC3; cancer; flux; lysosome; macroautophagy; neurodegeneration; phagophore; stress; vacuoleSettore BIO/17 - ISTOLOGIARC
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