Modelado computacional de astrocito humano usando datos de transcriptómica y proteómica

ilutraciones, graficas

Autores:
Mendoza Mejía, Nicolás
Tipo de recurso:
Fecha de publicación:
2022
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/81715
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/81715
https://repositorio.unal.edu.co/
Palabra clave:
610 - Medicina y salud
ASTROCITOS
INFLAMACION
Astrocytes
Inflammation
Modelo a escala genómica
Astrocito
Datos multi-omicos
Enfermedades neurodegenerativas
Transcriptómica
Proteómica
Genome-scale metabolic model
Astrocyte
Lipotoxicity
Neurodegenerative diseases
Transcriptomics
Proteomics
Rights
openAccess
License
Reconocimiento 4.0 Internacional
id UNACIONAL2_b98f14ca17e55606edd04ffd5311b7db
oai_identifier_str oai:repositorio.unal.edu.co:unal/81715
network_acronym_str UNACIONAL2
network_name_str Universidad Nacional de Colombia
repository_id_str
dc.title.spa.fl_str_mv Modelado computacional de astrocito humano usando datos de transcriptómica y proteómica
dc.title.translated.eng.fl_str_mv Computational modeling of human astrocyte using transcriptomic and proteomic data
title Modelado computacional de astrocito humano usando datos de transcriptómica y proteómica
spellingShingle Modelado computacional de astrocito humano usando datos de transcriptómica y proteómica
610 - Medicina y salud
ASTROCITOS
INFLAMACION
Astrocytes
Inflammation
Modelo a escala genómica
Astrocito
Datos multi-omicos
Enfermedades neurodegenerativas
Transcriptómica
Proteómica
Genome-scale metabolic model
Astrocyte
Lipotoxicity
Neurodegenerative diseases
Transcriptomics
Proteomics
title_short Modelado computacional de astrocito humano usando datos de transcriptómica y proteómica
title_full Modelado computacional de astrocito humano usando datos de transcriptómica y proteómica
title_fullStr Modelado computacional de astrocito humano usando datos de transcriptómica y proteómica
title_full_unstemmed Modelado computacional de astrocito humano usando datos de transcriptómica y proteómica
title_sort Modelado computacional de astrocito humano usando datos de transcriptómica y proteómica
dc.creator.fl_str_mv Mendoza Mejía, Nicolás
dc.contributor.advisor.none.fl_str_mv Pinzón Velasco, Andrés Mauricio
González Santos, Janet
dc.contributor.author.none.fl_str_mv Mendoza Mejía, Nicolás
dc.contributor.researchgroup.spa.fl_str_mv Grupo de Investigación en Bioinformática y Biología de Sistemas
dc.subject.ddc.spa.fl_str_mv 610 - Medicina y salud
topic 610 - Medicina y salud
ASTROCITOS
INFLAMACION
Astrocytes
Inflammation
Modelo a escala genómica
Astrocito
Datos multi-omicos
Enfermedades neurodegenerativas
Transcriptómica
Proteómica
Genome-scale metabolic model
Astrocyte
Lipotoxicity
Neurodegenerative diseases
Transcriptomics
Proteomics
dc.subject.lemb.spa.fl_str_mv ASTROCITOS
INFLAMACION
dc.subject.lemb.eng.fl_str_mv Astrocytes
Inflammation
dc.subject.proposal.spa.fl_str_mv Modelo a escala genómica
Astrocito
Datos multi-omicos
Enfermedades neurodegenerativas
Transcriptómica
Proteómica
dc.subject.proposal.eng.fl_str_mv Genome-scale metabolic model
Astrocyte
Lipotoxicity
Neurodegenerative diseases
Transcriptomics
Proteomics
description ilutraciones, graficas
publishDate 2022
dc.date.accessioned.none.fl_str_mv 2022-07-19T19:56:11Z
dc.date.available.none.fl_str_mv 2022-07-19T19:56:11Z
dc.date.issued.none.fl_str_mv 2022-07-17
dc.type.spa.fl_str_mv Trabajo de grado - Maestría
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/masterThesis
dc.type.version.spa.fl_str_mv info:eu-repo/semantics/acceptedVersion
dc.type.content.spa.fl_str_mv Text
dc.type.redcol.spa.fl_str_mv http://purl.org/redcol/resource_type/TM
status_str acceptedVersion
dc.identifier.uri.none.fl_str_mv https://repositorio.unal.edu.co/handle/unal/81715
dc.identifier.instname.spa.fl_str_mv Universidad Nacional de Colombia
dc.identifier.reponame.spa.fl_str_mv Repositorio Institucional Universidad Nacional de Colombia
dc.identifier.repourl.spa.fl_str_mv https://repositorio.unal.edu.co/
url https://repositorio.unal.edu.co/handle/unal/81715
https://repositorio.unal.edu.co/
identifier_str_mv Universidad Nacional de Colombia
Repositorio Institucional Universidad Nacional de Colombia
dc.language.iso.spa.fl_str_mv spa
language spa
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spelling Reconocimiento 4.0 Internacionalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Pinzón Velasco, Andrés Mauricio366c2eddf6aa24434ee55e57da235448González Santos, Janetf00be7494d76326b444918bcbab1c802Mendoza Mejía, Nicolás5231b4fb72ee9c70952bf65ad7fdfb9bGrupo de Investigación en Bioinformática y Biología de Sistemas2022-07-19T19:56:11Z2022-07-19T19:56:11Z2022-07-17https://repositorio.unal.edu.co/handle/unal/81715Universidad Nacional de ColombiaRepositorio Institucional Universidad Nacional de Colombiahttps://repositorio.unal.edu.co/ilutraciones, graficasAunque la astrogliosis está relacionada con eventos neuroprotectores; su neurotoxicidad se ha correlacionado con enfermedades neurodegenerativas y otros desórdenes (Sofroniew & Vinters, 2010). Lo que ha aumentado la atención en el estudio de estas células. Sin embargo, los procesos de señalización y actividad metabólica relacionados con la neurotoxicidad aún son poco conocidos (González et al., 2020; Sofroniew, 2015), por lo que se han empleado modelos metabólicos a escala genómica (GEM) de astrocito para estudiar estas respuestas. Por lo tanto, en este trabajo se hace la contextualización de un GEM de astrocito humano integrando datos multiomicos con una nueva aproximación en combinación con el algoritmo iMAT, permitiendo incluir información de diversos procesos biológicos en el modelo (Karahalil, 2016; Vivek-Ananth & Samal, 2016). En consecuencia, el GEM resultante presenta una mayor cobertura del metabolismo y una capacidad predictiva superior en los escenarios simulados coincidiendo con lo reportado en la literatura. Además, durante la reconstrucción de este modelo se generaron dos algoritmos, uno permite integrar el proteoma y transcriptoma, mientras el otro corrige los desbalances estequiométricos presentes en el modelo. Finalmente, este modelo tiene el potencial de acelerar el estudio de la astrogliosis, permitiendo descifrar la relación entre el metabolismo del astrocito y la aparición de enfermedades neurodegenerativas mediante la generación de hipótesis y la predicción del desempeño de fármacos. (Texto tomado de la fuente)Even though astrogliosis is related to neuroprotective events; its neurotoxicity has been correlated with neurodegenerative diseases and other disorders (Sofroniew & Vinters, 2010). Which have shifted the attention towards the study of these cells. However, the related signaling processes and metabolic activity related to the neurotoxicity are still poorly known (González et al., 2020; Sofroniew, 2015), thus genome-scale metabolic models (GEMs) of astrocytes have been used to study this response, as they allow modelling metabolic interac- tions (Martín-Jiménez et al., 2017; Osorio et al., 2020). Therefore, in this work an astrocyte’s GEM is contextualized by integrating multi-omic data with a new approach in combination with the algorithm iMAT, which allows including information from various biological processes in the model (Karahalil, 2016; Vivek-Ananth & Samal, 2016). Thus, the resulting GEM presets a greater coverage of the metabolic net- work and a higher predictive capability in the simulated scenarios, which is in line with the reported data in the literature. In addition, during the reconstruction of this model two algorithms were generated, one integrates the proteome and transcriptome together, meanwhile the other corrects the stoichiometric imbalances present in the model. Finally, this model has the potential to accelerate the study of astrogliosis allowing to decipher the relationship between astrocyte metabolism and the appearance of neurodegenerative diseases by generating hypotheses and predicting drug performance.MaestríaMagíster en BioinformáticaBiología de sistemasxii, 73 páginasapplication/pdfspaUniversidad Nacional de ColombiaBogotá - Ingeniería - Maestría en BioinformáticaDepartamento de Ingeniería de Sistemas e IndustrialFacultad de IngenieríaBogotá, ColombiaUniversidad Nacional de Colombia - Sede Bogotá610 - Medicina y saludASTROCITOSINFLAMACIONAstrocytesInflammationModelo a escala genómicaAstrocitoDatos multi-omicosEnfermedades neurodegenerativasTranscriptómicaProteómicaGenome-scale metabolic modelAstrocyteLipotoxicityNeurodegenerative diseasesTranscriptomicsProteomicsModelado computacional de astrocito humano usando datos de transcriptómica y proteómicaComputational modeling of human astrocyte using transcriptomic and proteomic dataTrabajo de grado - Maestríainfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/acceptedVersionTexthttp://purl.org/redcol/resource_type/TMA, S., W, J., Di, W., Dp, J., & X, D. 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IntechOpen. https://doi.org/10.5772/52301EstudiantesInvestigadoresORIGINAL1032480535.2022.pdf1032480535.2022.pdfTesis de Maestría en Bioinformáticaapplication/pdf3112760https://repositorio.unal.edu.co/bitstream/unal/81715/1/1032480535.2022.pdfcbf065207c3bb7086ac052d9fab1b020MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-84074https://repositorio.unal.edu.co/bitstream/unal/81715/2/license.txt8153f7789df02f0a4c9e079953658ab2MD52THUMBNAIL1032480535.2022.pdf.jpg1032480535.2022.pdf.jpgGenerated Thumbnailimage/jpeg4232https://repositorio.unal.edu.co/bitstream/unal/81715/3/1032480535.2022.pdf.jpg510b39845a95cfb83990babd7b709016MD53unal/81715oai:repositorio.unal.edu.co:unal/817152023-08-06 23:03:35.413Repositorio Institucional Universidad Nacional de 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EVESURBIFBPUiBMQSBTRUNSRVRBUsONQSBHRU5FUkFMLiAqTEEgVEVTSVMgQSBQVUJMSUNBUiBERUJFIFNFUiBMQSBWRVJTScOTTiBGSU5BTCBBUFJPQkFEQS4gCgpBbCBoYWNlciBjbGljIGVuIGVsIHNpZ3VpZW50ZSBib3TDs24sIHVzdGVkIGluZGljYSBxdWUgZXN0w6EgZGUgYWN1ZXJkbyBjb24gZXN0b3MgdMOpcm1pbm9zLiBTaSB0aWVuZSBhbGd1bmEgZHVkYSBzb2JyZSBsYSBsaWNlbmNpYSwgcG9yIGZhdm9yLCBjb250YWN0ZSBjb24gZWwgYWRtaW5pc3RyYWRvciBkZWwgc2lzdGVtYS4KClVOSVZFUlNJREFEIE5BQ0lPTkFMIERFIENPTE9NQklBIC0gw5psdGltYSBtb2RpZmljYWNpw7NuIDE5LzEwLzIwMjEK

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