Rafael Tamayo on Muck Rack

Rafael Tamayo

Dallas
As seen in: Nature, COPE, Dialnet - Universidad de La Rioja
arte. cultura.
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Articles

Factores de localización y desconcentración espacial del crecimiento manufacturero en México: ¿Qué sabemos y cómo lo sabemos?

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By Rafael Tamayo
| Dialnet - Universidad de La Rioja
Ayuda Buscar en la ayuda Buscar en la ayuda Factores de localización y desconcentración espacial del crecimiento manufacturero en México: ¿Qué sabemos y cómo lo sabemos? Autores: Rafael Tamayo Localización: Economía, sociedad y territorio, ISSN 1405-8421, ISSN-e 2448-6183, Vol. 2, Nº. 8, 2000 Idioma: español Títulos paralelos: Location factorsand spatialdeconcentrationof manufacturinggrowth in Mexico:What do we knowand how do weknow it?
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A parsimonious software sensor for estimating the individual dynamic pattern of methane emissions from cattle

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By Rafael Tamayo, G. D. Miller, R. Dewhurst
| hal.science
A parsimonious software sensor for estimating the individual dynamic pattern of methane emissions from cattle Mots clés greenhouse gas methane modelling ruminant precision farming Domaines Modélisation et simulation Automatique Biotechnologies Ecosystèmes Science des productions animales Fichier principal 2019_Munoz-Tamayo_A parsimonious software sensor for estimating the individual dynamic pattern of methane emissions from cattle (2).pdf (1.05 Mo) Télécharger le fichier Origine : Fichiers...
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Large T cell clones expressing immune checkpoints increase during multiple myeloma evolution and predict treatment resistance - Nature Communications

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By Cirino Botta, Cristina Pérez Verified, Cristina Perez, Marta J. Larrayoz, Maria-Teresa Cedena, Ibai Goicoechea, Sara Rodriguez, Sara Rodríguez Verified, Daniela Besozzi, Rafael Tamayo, Hartmut Goldschmidt, Aldo M. Roccaro, Alberto Órfão, Laura Rosiñol, Juan-José Lahuerta, Joan Bladé, Maria-Victoria Mateos, Jesus San-Miguel, Jesús F San-Miguel, Bruno Paiva, Daniele M. Papetti, Marco S. Nobile, Jose-Maria Moraleda, Jose-Angel Martinez Climent
| Nature Verified
Abstract Tumor recognition by T cells is essential for antitumor immunity. A comprehensive characterization of T cell diversity may be key to understanding the success of immunomodulatory drugs and failure of PD-1 blockade in tumors such as multiple myeloma (MM). Here, we use single-cell RNA and T cell receptor sequencing to characterize bone marrow T cells from healthy adults (n = 4) and patients with precursor (n = 8) and full-blown MM (n = 10).
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