From cellular information networks to digital molecular medicine

The emerging field of systems biology is transforming biotechnology to an extent that it is making individual investigators or even consolidated groups become obsolete, thereby making it necessary to work in global collaboration networks to be competitive. The new biology (as just another branch of...

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Autores:
Rangel-Aldao, Rafael
Tipo de recurso:
Article of journal
Fecha de publicación:
2008
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/22742
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/22742
http://bdigital.unal.edu.co/13777/
Palabra clave:
proteoma
sistemas
redes
biotecnología
medicina
Proteome
systems
networks
biotechnology
medicine
proteoma
sistemas
redes
biotecnología
medicina
Proteome
systems
networks
biotechnology
medicine
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
id UNACIONAL2_723a6e3356c9ace63658bd11b39045e0
oai_identifier_str oai:repositorio.unal.edu.co:unal/22742
network_acronym_str UNACIONAL2
network_name_str Universidad Nacional de Colombia
repository_id_str
dc.title.spa.fl_str_mv From cellular information networks to digital molecular medicine
title From cellular information networks to digital molecular medicine
spellingShingle From cellular information networks to digital molecular medicine
proteoma
sistemas
redes
biotecnología
medicina
Proteome
systems
networks
biotechnology
medicine
proteoma
sistemas
redes
biotecnología
medicina
Proteome
systems
networks
biotechnology
medicine
title_short From cellular information networks to digital molecular medicine
title_full From cellular information networks to digital molecular medicine
title_fullStr From cellular information networks to digital molecular medicine
title_full_unstemmed From cellular information networks to digital molecular medicine
title_sort From cellular information networks to digital molecular medicine
dc.creator.fl_str_mv Rangel-Aldao, Rafael
dc.contributor.author.spa.fl_str_mv Rangel-Aldao, Rafael
dc.subject.proposal.spa.fl_str_mv proteoma
sistemas
redes
biotecnología
medicina
Proteome
systems
networks
biotechnology
medicine
proteoma
sistemas
redes
biotecnología
medicina
Proteome
systems
networks
biotechnology
medicine
topic proteoma
sistemas
redes
biotecnología
medicina
Proteome
systems
networks
biotechnology
medicine
proteoma
sistemas
redes
biotecnología
medicina
Proteome
systems
networks
biotechnology
medicine
description The emerging field of systems biology is transforming biotechnology to an extent that it is making individual investigators or even consolidated groups become obsolete, thereby making it necessary to work in global collaboration networks to be competitive. The new biology (as just another branch of information science) combined with genomics and proteomics is giving rise to personalised medicine at the molecular level and the ability to predict and prevent the risk of contracting major common diseases, as well as facilitating patients’ active participation or even that of healthy individuals in their own care. This so-called P4 medicine (predictive, preventative, personalised and participatory) essentially reflects people’s social life in informational biological molecules which are arranged in complex networks following a power law by which very few nodes or hubs made of either genes or their transcription and translation products dominate the entire network through unequal distribution of links or edges. Around one dozen publications of genome-wide association studies (GWAS) have shown how the genomic variations of some of these hubs can be applied to predicting the risk of contracting multigenic and common diseases. Moreover, combining GWAS with clinical and metabolic indices of risk significantly improves the power of such techniques for personalised medicine. Key words: Proteome; systems; networks; biotechnology; medicine
publishDate 2008
dc.date.issued.spa.fl_str_mv 2008
dc.date.accessioned.spa.fl_str_mv 2019-06-25T20:40:50Z
dc.date.available.spa.fl_str_mv 2019-06-25T20:40:50Z
dc.type.spa.fl_str_mv Artículo de revista
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url https://repositorio.unal.edu.co/handle/unal/22742
http://bdigital.unal.edu.co/13777/
dc.language.iso.spa.fl_str_mv spa
language spa
dc.relation.spa.fl_str_mv http://revistas.unal.edu.co/index.php/biotecnologia/article/view/1397
dc.relation.ispartof.spa.fl_str_mv Universidad Nacional de Colombia Revistas electrónicas UN Revista Colombiana de Biotecnología
Revista Colombiana de Biotecnología
dc.relation.ispartofseries.none.fl_str_mv Revista Colombiana de Biotecnología; Vol. 10, núm. 1 (2008); 64-74 1909-8758 0123-3475
dc.relation.references.spa.fl_str_mv Rangel-Aldao, Rafael (2008) From cellular information networks to digital molecular medicine. Revista Colombiana de Biotecnología; Vol. 10, núm. 1 (2008); 64-74 1909-8758 0123-3475 .
dc.rights.spa.fl_str_mv Derechos reservados - Universidad Nacional de Colombia
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.license.spa.fl_str_mv Atribución-NoComercial 4.0 Internacional
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dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv Atribución-NoComercial 4.0 Internacional
Derechos reservados - Universidad Nacional de Colombia
http://creativecommons.org/licenses/by-nc/4.0/
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Universidad Nacional de Colombia
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spelling Atribución-NoComercial 4.0 InternacionalDerechos reservados - Universidad Nacional de Colombiahttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Rangel-Aldao, Rafael7ae911ef-6b4e-4f1c-8180-3471af2746863002019-06-25T20:40:50Z2019-06-25T20:40:50Z2008https://repositorio.unal.edu.co/handle/unal/22742http://bdigital.unal.edu.co/13777/The emerging field of systems biology is transforming biotechnology to an extent that it is making individual investigators or even consolidated groups become obsolete, thereby making it necessary to work in global collaboration networks to be competitive. The new biology (as just another branch of information science) combined with genomics and proteomics is giving rise to personalised medicine at the molecular level and the ability to predict and prevent the risk of contracting major common diseases, as well as facilitating patients’ active participation or even that of healthy individuals in their own care. This so-called P4 medicine (predictive, preventative, personalised and participatory) essentially reflects people’s social life in informational biological molecules which are arranged in complex networks following a power law by which very few nodes or hubs made of either genes or their transcription and translation products dominate the entire network through unequal distribution of links or edges. Around one dozen publications of genome-wide association studies (GWAS) have shown how the genomic variations of some of these hubs can be applied to predicting the risk of contracting multigenic and common diseases. Moreover, combining GWAS with clinical and metabolic indices of risk significantly improves the power of such techniques for personalised medicine. Key words: Proteome; systems; networks; biotechnology; medicineLa transformación que experimenta la biotecnología con la información biológica a escala de sistemas es de tal magnitud y profundidad, que solo a través de redes globales de cooperación es posible realizar investigación competitiva. Las aplicaciones que ahora emergen, aparte de las biofarmacéuticas y agroindustriales que ya entran en su madurez, dan lugar a una nueva medicina molecular, predictiva, preventiva, personalizada, participativa y accesible en forma digital. Una combinación sin precedentes de técnicas genómicas y proteómicas permite seguir el curso de la expresión de todos los genes y proteínas de cada individuo así como la vida social de tales moléculas informacionales, que es donde radican los eventos cruciales para la predicción del riesgo y la detección precoz de enfermedades comunes. Esa sociedad de bioinformación a escala molecular sigue el mismo tipo de patrones de redes complejas propias de los sistemas sociales y ecológicos, que se repiten en forma fractal a toda escala incluyendo las redes neuronales, genómicas, proteómicas y metabolómicas. A cada nivel de complejidad aparece la firma indeleble de la autoorganización, redes entrelazadas cuyos nodos se conectan entre sí de acuerdo con una ley de potencia con una distribución desigual de enlaces entre los nodos, donde muy pocos dominan todas las conexiones y, por ende, la red completa. La importancia práctica de esos súper nodos, genes y proteínas, se aprecia a partir de 2007 con más de una docena de publicaciones que demuestran la asociación de variaciones genómicas con enfermedades comunes. El valor predictivo de estas asociaciones genómicas, no necesariamente deterministas, se incrementa notablemente al combinarlas con otros factores de riesgo de tipo clínico y metabólico haciendo posible una determinación más precisa del riesgo, la prevención y atención personalizada de la enfermedad. Palabras clave: proteoma; sistemas; redes; biotecnología; medicinaapplication/pdfspaUniversidad Nacional de Colombiahttp://revistas.unal.edu.co/index.php/biotecnologia/article/view/1397Universidad Nacional de Colombia Revistas electrónicas UN Revista Colombiana de BiotecnologíaRevista Colombiana de BiotecnologíaRevista Colombiana de Biotecnología; Vol. 10, núm. 1 (2008); 64-74 1909-8758 0123-3475Rangel-Aldao, Rafael (2008) From cellular information networks to digital molecular medicine. Revista Colombiana de Biotecnología; Vol. 10, núm. 1 (2008); 64-74 1909-8758 0123-3475 .From cellular information networks to digital molecular medicineArtículo de revistainfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Texthttp://purl.org/redcol/resource_type/ARTproteomasistemasredesbiotecnologíamedicinaProteomesystemsnetworksbiotechnologymedicineproteomasistemasredesbiotecnologíamedicinaProteomesystemsnetworksbiotechnologymedicineORIGINAL1397-6875-1-PB.pdfapplication/pdf933148https://repositorio.unal.edu.co/bitstream/unal/22742/1/1397-6875-1-PB.pdfa8ea75bd66d575625516ba11273e2582MD51THUMBNAIL1397-6875-1-PB.pdf.jpg1397-6875-1-PB.pdf.jpgGenerated Thumbnailimage/jpeg6451https://repositorio.unal.edu.co/bitstream/unal/22742/2/1397-6875-1-PB.pdf.jpgf7b2c1262fa3d073f3076f9f7fb0b52bMD52unal/22742oai:repositorio.unal.edu.co:unal/227422022-10-16 23:02:02.158Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.co