0000000000319758

AUTHOR

Päärn Paiste

showing 4 related works from this author

ORR Activity and Stability of Co-N/C Catalysts Based on Silicon Carbide Derived Carbon and the Impact of Loading in Acidic Media

2018

This work was supported by the EU through the European Regional Development Fund under projects TK141 “Advanced materials and high-technology devices for energy recuperation systems” (2014-2020.4.01.15-0011), NAMUR ”Nanomaterials - research and applications” (3.2.0304.12-0397) and by the Estonian institutional research grant No. IUT20-13.

inorganic chemicalschemistry.chemical_element02 engineering and technology010402 general chemistryElectrochemistry01 natural sciences7. Clean energyCatalysisElectron transferchemistry.chemical_compoundX-ray photoelectron spectroscopy:NATURAL SCIENCES:Physics [Research Subject Categories]Materials ChemistryElectrochemistrySilicon carbideheterocyclic compoundsRenewable Energy Sustainability and the EnvironmentChemistryorganic chemicals021001 nanoscience & nanotechnologyCondensed Matter PhysicsNitrogen0104 chemical sciencesSurfaces Coatings and FilmsElectronic Optical and Magnetic MaterialsChemical engineeringDegradation (geology)0210 nano-technologyCarbonJournal of The Electrochemical Society
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In vivophage display: identification of organ-specific peptides using deep sequencing and differential profiling across tissues

2020

ABSTRACTIn vivophage display is widely used for identification of organ- or disease-specific homing peptides. However, the currentin vivophage biopanning approaches fail to assess biodistribution of specific peptide phages across tissues during the screen, thus necessitating laborious and time-consuming post-screening validation studies on individual peptide phages. Here, we adopted bioinformatics tools used for RNA sequencing for analysis of high throughput sequencing (HTS) data to estimate the representation of individual peptides during biopanningin vivo. The data fromin vivophage screen were analyzed using differential binding – relative representation of each peptide in the target orga…

chemistry.chemical_classificationPhage displaybiologychemistryT7 phageIn vivoPeptideBiopanningComputational biologybiology.organism_classificationDeep sequencingDNA sequencingHoming (hematopoietic)
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In vivo phage display: identification of organ-specific peptides using deep sequencing and differential profiling across tissues.

2021

Abstract In vivo phage display is widely used for identification of organ- or disease-specific homing peptides. However, the current in vivo phage biopanning approaches fail to assess biodistribution of specific peptide phages across tissues during the screen, thus necessitating laborious and time-consuming post-screening validation studies on individual peptide phages. Here, we adopted bioinformatics tools used for RNA sequencing for analysis of high-throughput sequencing (HTS) data to estimate the representation of individual peptides during biopanning in vivo. The data from in vivo phage screen were analyzed using differential binding—relative representation of each peptide in the target…

Phage displayT7 phageAcademicSubjects/SCI00010virusesPeptideBiopanningComputational biologyDeep sequencing03 medical and health sciencesMiceIn vivoPeptide LibraryGeneticsAnimalsTissue DistributionMolecular Biology030304 developmental biologychemistry.chemical_classification0303 health sciencesMice Inbred BALB Cbiology030302 biochemistry & molecular biologyRNAHigh-Throughput Nucleotide Sequencingbiology.organism_classificationHigh-Throughput Screening AssayschemistryCell Surface Display TechniquesPeptidesHoming (hematopoietic)Nucleic acids research
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Liquid-assisted grinding/compression: a facile mechanosynthetic route for the production of high-performing Co–N–C electrocatalyst materials

2022

This research was supported by the Estonian Research Council grant PSG250; and by the EU through the European Regional Development Fund (TK141, “Advanced materials and high-technology devices for energy recuperation systems” and TK143, “Molecular Cell Engineering”).

:NATURAL SCIENCES [Research Subject Categories]Environmental ChemistryPollutionGreen Chemistry
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