0000000001213059

AUTHOR

Janusz Blasiak

showing 6 related works from this author

Biomolecular computers with multiple restriction enzymes

2017

Abstract The development of conventional, silicon-based computers has several limitations, including some related to the Heisenberg uncertainty principle and the von Neumann “bottleneck”. Biomolecular computers based on DNA and proteins are largely free of these disadvantages and, along with quantum computers, are reasonable alternatives to their conventional counterparts in some applications. The idea of a DNA computer proposed by Ehud Shapiro’s group at the Weizmann Institute of Science was developed using one restriction enzyme as hardware and DNA fragments (the transition molecules) as software and input/output signals. This computer represented a two-state two-symbol finite automaton t…

0301 basic medicineTheoretical computer scienceDNA computerlcsh:QH426-4700102 computer and information sciencesBiology01 natural scienceslaw.inventionrestriction enzymesGenomics and Bioinformatics03 medical and health sciencessymbols.namesakeSoftwareDNA computinglawGeneticsNondeterministic finite automatonMolecular BiologyQuantum computerFinite-state machinebusiness.industryConstruct (python library)bioinformaticsDNARestriction enzymelcsh:Genetics030104 developmental biology010201 computation theory & mathematicssymbolsbusinessVon Neumann architectureGenetics and Molecular Biology
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A detailed experimental study of a DNA computer with two endonucleases

2017

Abstract Great advances in biotechnology have allowed the construction of a computer from DNA. One of the proposed solutions is a biomolecular finite automaton, a simple two-state DNA computer without memory, which was presented by Ehud Shapiro’s group at the Weizmann Institute of Science. The main problem with this computer, in which biomolecules carry out logical operations, is its complexity – increasing the number of states of biomolecular automata. In this study, we constructed (in laboratory conditions) a six-state DNA computer that uses two endonucleases (e.g. AcuI and BbvI) and a ligase. We have presented a detailed experimental verification of its feasibility. We described the effe…

0301 basic medicineTheoretical computer scienceDNA LigasesComputer scienceCarry (arithmetic)Oligonucleotides0102 computer and information sciencesBioinformatics01 natural sciencesGeneral Biochemistry Genetics and Molecular Biologylaw.inventionAutomationComputers Molecular03 medical and health sciencesDNA computinglawA-DNADeoxyribonucleases Type II Site-Specificchemistry.chemical_classificationDNA ligaseFinite-state machineBase Sequencebiomolecular computers; DNA computing; finite automataProcess (computing)DNAModels TheoreticalEndonucleasesAutomaton030104 developmental biologychemistry010201 computation theory & mathematicsWord (computer architecture)Zeitschrift für Naturforschung C
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40(th) EASD Annual Meeting of the European Association for the Study of Diabetes : Munich, Germany, 5-9 September 2004

2004

0303 health sciencesmedicine.medical_specialtybusiness.industryEASDEndocrinology Diabetes and MetabolismHuman physiologymedicine.disease03 medical and health sciences0302 clinical medicineDiabetes mellitusFamily medicineInternal MedicineMedicinebusiness030217 neurology & neurosurgery030304 developmental biology
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Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition) 1

2021

Contains fulltext : 232759.pdf (Publisher’s version ) (Closed access) 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…

0301 basic medicineProgrammed cell deathSettore BIO/06AutophagosomeAutolysosome[SDV]Life Sciences [q-bio]lnfectious Diseases and Global Health Radboud Institute for Molecular Life Sciences [Radboudumc 4]Autophagy-Related ProteinsReviewComputational biology[SDV.BC]Life Sciences [q-bio]/Cellular BiologyBiologySettore MED/0403 medical and health sciencesstressChaperone-mediated autophagyddc:570AutophagyLC3AnimalsHumanscancerSettore BIO/10Autophagosome; cancer; flux; LC3; lysosome; macroautophagy; neurodegeneration; phagophore; stress; vacuoleSet (psychology)Molecular Biologyvacuole.phagophore030102 biochemistry & molecular biologyvacuolebusiness.industryInterpretation (philosophy)AutophagyAutophagosomesneurodegenerationCell BiologyfluxMulticellular organismmacroautophagy030104 developmental biologyKnowledge baselysosomeAutophagosome; LC3; cancer; flux; lysosome; macroautophagy; neurodegeneration; phagophore; stress; vacuoleBiological AssayLysosomesbusinessBiomarkers[SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
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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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Biomolecular computers with multiple restriction enzymes

2017

Abstract The development of conventional, silicon-based computers has several limitations, including some related to the Heisenberg uncertainty principle and the von Neumann “bottleneck”. Biomolecular computers based on DNA and proteins are largely free of these disadvantages and, along with quantum computers, are reasonable alternatives to their conventional counterparts in some applications. The idea of a DNA computer proposed by Ehud Shapiro’s group at the Weizmann Institute of Science was developed using one restriction enzyme as hardware and DNA fragments (the transition molecules) as software and input/output signals. This computer represented a two-state two-symbol finite automaton t…

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