Two complementary methods for the identification and production of novel biomarkers of Plasmodium falciparum

2.50
Hdl Handle:
http://hdl.handle.net/10757/621074
Title:
Two complementary methods for the identification and production of novel biomarkers of Plasmodium falciparum
Authors:
García Ruiz, Oscar Andree
Advisors:
Milón Mayer, Pohl Luis
Publisher:
Universidad Peruana de Ciencias Aplicadas (UPC)
Issue Date:
8-Feb-2016
URI:
http://hdl.handle.net/10757/621074
Abstract:
Ribosome profiling (RP) is a novel technique that exploits RNA sequencing and ribosome immobilization to quantify transcription and translation at different cell growth stages. Therefore, RP provides invaluable information for expression dynamics studies. Quantitative –omics studies are of crucial importance for identification of potential biomarkers of infection. An ideal parasite detection system should definitely establish the presence or absence of infection; determine the species involved; be detectable even in low concentrations; be proportional to parasite density; and determine the presence of antibiotic resistance. Here, we propose a simple workflow that attempts to identify a set of biomarkers that fulfill some of the above criteria for the ideal detection system. RP expression profiles were ranked for abundance, crosschecked with PlasmoDB for homogeneity along infection cycles and probed for availability of structural stability. The latter is of fundamental importance for the development of molecular biosensors to be give birth to rapid diagnostic kits. In addition, a simple biochemistry workflow was developed for easy production of the selected biomarkers in E. coli. Altogether, the present work provides two complementary and novel workflows that shall aid researchers to rapidly produce molecular biomarkers and develop biosensors based on antibodies or aptamers.
Type:
info:eu-repo/semantics/bachelorThesis
Rights:
info:eu-repo/semantics/embargoedAccess
Language:
spa
Keywords:
Ribosome Profiling; Genomics; Gene Expression Profiling; Biological Markers; Malaria; Plasmodium; Medicina

Full metadata record

DC FieldValue Language
dc.contributor.advisorMilón Mayer, Pohl Luises
dc.contributor.authorGarcía Ruiz, Oscar Andreees
dc.date.accessioned2017-03-20T21:30:59Z-
dc.date.available2017-03-20T21:30:59Z-
dc.date.issued2016-02-08-
dc.identifier.urihttp://hdl.handle.net/10757/621074-
dc.description.abstractRibosome profiling (RP) is a novel technique that exploits RNA sequencing and ribosome immobilization to quantify transcription and translation at different cell growth stages. Therefore, RP provides invaluable information for expression dynamics studies. Quantitative –omics studies are of crucial importance for identification of potential biomarkers of infection. An ideal parasite detection system should definitely establish the presence or absence of infection; determine the species involved; be detectable even in low concentrations; be proportional to parasite density; and determine the presence of antibiotic resistance. Here, we propose a simple workflow that attempts to identify a set of biomarkers that fulfill some of the above criteria for the ideal detection system. RP expression profiles were ranked for abundance, crosschecked with PlasmoDB for homogeneity along infection cycles and probed for availability of structural stability. The latter is of fundamental importance for the development of molecular biosensors to be give birth to rapid diagnostic kits. In addition, a simple biochemistry workflow was developed for easy production of the selected biomarkers in E. coli. Altogether, the present work provides two complementary and novel workflows that shall aid researchers to rapidly produce molecular biomarkers and develop biosensors based on antibodies or aptamers.es
dc.description.uriTesises_PE
dc.formatapplication/pdfes
dc.formatapplication/epubes
dc.formatapplication/mswordes
dc.language.isospaes
dc.publisherUniversidad Peruana de Ciencias Aplicadas (UPC)es
dc.rightsinfo:eu-repo/semantics/embargoedAccesses
dc.sourceUniversidad Peruana de Ciencias Aplicadas (UPC)es_PE
dc.sourceRepositorio Académico - UPCes_PE
dc.subjectRibosome Profilinges
dc.subjectGenomicses
dc.subjectGene Expression Profilinges
dc.subjectBiological Markerses
dc.subjectMalariaes
dc.subjectPlasmodiumes
dc.subjectMedicinaes
dc.titleTwo complementary methods for the identification and production of novel biomarkers of Plasmodium falciparumes
dc.typeinfo:eu-repo/semantics/bachelorThesises
thesis.degree.grantorUniversidad Peruana de Ciencias Aplicadas (UPC). Facultad de Ciencias de la Saludes_PE
thesis.degree.levelLicenciaturaes_PE
thesis.degree.disciplineMedicinaes_PE
thesis.degree.nameMédico cirujanoes_PE
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