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Stravopodis, D. J.

Publications and source records attributed to Stravopodis, D. J..

3 recordsLinked to original sources

Uniquome: Construction and Decoding of a Novel Proteomic Atlas that Contains New Peptide Entities

Cellular and molecular uniqueness has recently gained eminent importance, due to the large amount of data produced by "-omics" technologies. Herein, we have constructed and decoded the "Uniquome", by introduction of the new peptide entities: (a) "Core Unique Peptide" (CrUP), defined as the peptide whose sequence is accommodated, specifically and exclusively, only in one protein in a given proteome, and also bears the minimum length of amino acid sequence; (b) "Composite Unique Peptide" (CmUP), defined as the peptide composed by the linear unification of CrUPs, when two or more successive in order CrUPs overlap one another; (c) "Family Unique Peptide" (FUP), defined as the CrUPs that are common between all members of a given family, but unique only for the protein members of the particular family, and (d) "Universal Unique Peptides" (UUPs), which are the common CrUPs in a given protein across organisms, carrying the important ability to securely identify a protein independently of an organism. By these entities as tool-box, we have analyzed the human and model organisms, respective, proteomes. We demonstrate that these novel peptide entities play a crucial role for protein identification, protein-function prediction, cell physiology, tissue pathology, therapeutic oncology and translational medicine. Finally, we suggest that across species the conserved sequences are not DNA nucleotides but CrUPs entities. One-Sentence SummaryWe constructed and decoded the "Uniquome", by introducing the new peptide entities Core Unique Peptide, Composite Unique Peptide, Family Unique Peptide and Universal Unique Peptide

molecular biology↗

Biological aging of two innate behaviors of Drosophila melanogaster: escape climbing versus courtship learning and memory

Motor and cognitive aging can severely affect life quality of elderly people and burden health care systems. In search for diagnostic behavioral biomarkers, it has been suggested that walking speed can predict forms of cognitive decline, but in humans, it remains challenging to separate the effects of biological aging and lifestyle. We examined a possible association of motor and cognitive decline in Drosophila, a genetic model organism of healthy aging. Long term courtship memory is present in young flies but absent already during mid life (4-8 weeks). By contrast, courtship learning index and short term memory (STM) are surprisingly robust and remain stable through mid (4-8 weeks) and healthy late life (>8 weeks), until courtship performance collapses suddenly at [~]4.5 days prior to death. By contrast, climbing speed declines gradually during late life (>8 weeks). The collapse of courtship performance and short term memory close to the end of life are not related to the gradual late life decline in climbing speed. Thus, during healthy aging in Drosophila, climbing and courtship motor behaviors decline differentially, unlikely share a common cause, and motor and cognitive performance decline are not closely associated to each other.

animal behavior and cognition↗

FLAME: a web tool for functional and literature enrichment analysis of multiple gene lists

Functional enrichment is a widely used method for interpreting experimental results by identifying classes of proteins/genes associated with certain biological functions, pathways, diseases or phenotypes. Despite the variety of existing tools, most of them can process a single list per time, thus making a more combinatorial analysis more complicated and prone to errors. In this article, we present FLAME, a web tool for combining multiple lists prior to enrichment analysis. Users can upload several lists of preference and use interactive UpSet plots, as an alternative to Venn diagrams, to handle unions or intersections among the given input files. Functional and literature enrichment along with gene conversions are offered by g:Profiler and aGOtool applications for 197 organisms. In its current version, FLAME can analyze genes/proteins for related articles, Gene Ontologies, pathways, annotations, regulatory motifs, domains, diseases, phenotypes while it can also generate protein-protein interactions derived from STRING. We have herein validated FLAME by interrogating gene expression data associated with the sensitivity of the distal part of the large intestine to experimental colitis-propelled colon cancer. The FLAME application comes with an interactive user-friendly interface which allows easy list manipulation and exploration, while results can be visualized as interactive and parameterizable heatmaps, barcharts, Manhattan plots, networks and tables. AvailabilityFLAME application: http://flame.pavlopouloslab.info Codehttps://github.com/PavlopoulosLab/FLAME

bioinformatics↗