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Identificação

Identificação pessoal

Nome completo
Carlos Prieto

Nomes de citação

  • Prieto, Carlos

Identificadores de autor

Ciência ID
9514-22D5-5785
ORCID iD
0000-0001-8178-9768

Moradas

  • Servicio de Bioinformática. Campus Miguel Unamuno., 37007, Salamanca, Salamanca, Espanha (Profissional)

Websites

Domínios de atuação

  • Ciências Exatas - Ciências da Computação e da Informação - Bioinformática

Idiomas

Idioma Conversação Leitura Escrita Compreensão Peer-review
Espanhol; Castelhano (Idioma materno)
Inglês Utilizador proficiente (C1) Utilizador proficiente (C1) Utilizador proficiente (C1) Utilizador proficiente (C1) Utilizador proficiente (C1)
Formação
Grau Classificação
2009/02/22
Concluído
Biología y clínica del Cáncer (Doutoramento)
Universidad de Salamanca, Espanha
"Desarrollo y análisis bioinformático de mapas ómicos de interacción de proteínas y de coexpresión de genes: redes funcionales derivadas." (TESE/DISSERTAÇÃO)
Cum Laude
2003/07/01
Concluído
Ingeniero en Informática (Licence)
Universidad Pontificia de Salamanca, Espanha
Percurso profissional

Ciência

Categoria Profissional
Instituição de acolhimento
Empregador
2014/12/01 - Atual Gestão de Ciência e Tecnologia Universidad de Salamanca, Espanha
Produções

Publicações

Artigo em revista
  1. Torres-Valle A; Aragon L; Silva SL; Serrano C; Marcos M; Melero J; Bonroy C; et al. "In-depth blood immune profiling of Good syndrome patients.". Frontiers in immunology (2023): http://europepmc.org/abstract/med/38035080.
    10.3389/fimmu.2023.1285088
  2. Prieto C; Barrios D; Villaverde A. "SingleCAnalyzer: Interactive Analysis of Single Cell RNA-Seq Data on the Cloud.". Frontiers in bioinformatics (2022): http://europepmc.org/abstract/med/36304292.
    10.3389/fbinf.2022.793309
  3. "Whole-Exome Sequencing Reveals Recurrent but Heterogeneous Mutational Profiles in Sporadic WHO Grade 1 Meningiomas.". Frontiers in oncology (2021): https://europepmc.org/articles/PMC8635692.
    10.3389/fonc.2021.740782
  4. "Induction of antiviral and cell mediated immune responses significantly reduce viral load in an acute foot-and-mouth disease virus infection in cattle.". Genomics (2021): https://doi.org/10.1016/j.ygeno.2021.10.016.
    10.1016/j.ygeno.2021.10.016
  5. "The Hydropathy Index of the HCDR3 Region of the B-Cell Receptor Identifies Two Subgroups of IGHV-Mutated Chronic Lymphocytic Leukemia Patients With Distinct Outcome.". Frontiers in oncology (2021): https://europepmc.org/articles/PMC8577851.
    10.3389/fonc.2021.723722
  6. Crespo-Facorro B; Ruiz-Veguilla M; Vázquez-Bourgon J; Sánchez-Hidalgo AC; Garrido-Torres N; Cisneros JM; Prieto C; Sainz J. "Aripiprazole as a Candidate Treatment of COVID-19 Identified Through Genomic Analysis.". Frontiers in pharmacology (2021): http://europepmc.org/abstract/med/33762960.
    10.3389/fphar.2021.646701
  7. "Effects of copy number variations on brain structure and risk for psychiatric illness: Large-scale studies from the ENIGMA working groups on CNVs.". Human brain mapping (2021): https://doi.org/10.1002/hbm.25354.
    10.1002/hbm.25354
  8. "Aripiprazole as a candidate treatment of COVID-19 identified through genomic analysis". (2020): https://doi.org/10.1101/2020.12.05.20244590.
    10.1101/2020.12.05.20244590
  9. "Association of Copy Number Variation of the 15q11.2 BP1-BP2 Region With Cortical and Subcortical Morphology and Cognition.". JAMA psychiatry (2020): https://europepmc.org/articles/PMC6822096.
    10.1001/jamapsychiatry.2019.3779
  10. Carlos Prieto; David Barrios; Bonnie Berger. "RaNA-Seq: interactive RNA-Seq analysis from FASTQ files to functional analysis". Bioinformatics (2020): https://doi.org/10.1093/bioinformatics/btz854.
    10.1093/bioinformatics/btz854
  11. Javier I. Muñoz-González; Iván Álvarez-Twose; María Jara-Acevedo; Ana Henriques; Esther Viñas; Carlos Prieto; Laura Sánchez-Muñoz; et al. "Frequency and prognostic impact of KIT and other genetic variants in indolent systemic mastocytosis". Blood 134 5 (2019): 456-468. https://doi.org/10.1182/blood.2018886507.
    10.1182/blood.2018886507
  12. "Time dependent expression of the blood biomarkers eif2d and tox in patients with schizophrenia.". Brain, behavior, and immunity (2019): https://doi.org/10.1016/j.bbi.2019.05.015.
    10.1016/j.bbi.2019.05.015
  13. "Sex differences in gene expression related to antipsychotic induced weight gain.". PloS one (2019): http://europepmc.org/articles/PMC6464344.
    10.1371/journal.pone.0215477
  14. Benedicto Crespo-Facorro; Carlos Prieto; Jesus Sainz. "Altered gene expression in antipsychotic-induced weight gain". npj Schizophrenia (2019): https://doi.org/10.1038/s41537-019-0075-y.
    10.1038/s41537-019-0075-y
  15. "Defects in memory B-cell and plasma cell subsets expressing different immunoglobulin-subclasses in patients with CVID and immunoglobulin subclass deficiencies.". The Journal of allergy and clinical immunology (2019): https://doi.org/10.1016/j.jaci.2019.02.017.
    10.1016/j.jaci.2019.02.017
  16. "Correction: Dose response of the 16p11.2 distal copy number variant on intracranial volume and basal ganglia.". Molecular psychiatry (2019): https://doi.org/10.1038/s41380-019-0358-8.
    10.1038/s41380-019-0358-8
  17. "Dose response of the 16p11.2 distal copy number variant on intracranial volume and basal ganglia.". Molecular psychiatry (2018): https://doi.org/10.1038/s41380-018-0118-1.
    10.1038/s41380-018-0118-1
  18. Sáez-Freire MDM; Blanco-Gómez A; Castillo-Lluva S; Gómez-Vecino A; Galvis-Jiménez JM; Martín-Seisdedos C; Isidoro-García M; Hontecillas-Prieto L; Pérez-Losada J. "The biological age linked to oxidative stress modifies breast cancer aggressiveness.". Free radical biology & medicine (2018): http://europepmc.org/abstract/med/29550329.
    10.1016/j.freeradbiomed.2018.03.012
  19. David Barrios; Carlos Prieto. "RJSplot: Interactive Graphs with R". Molecular Informatics (2018): https://doi.org/10.1002/minf.201700090.
    10.1002/minf.201700090
  20. "Defining the Species Micromonospora saelicesensis and Micromonospora noduli Under the Framework of Genomics.". Frontiers in microbiology 9 (2018): 1360-1360.
    10.3389/fmicb.2018.01360
  21. Sainz J; Prieto C; Ruso-Julve F; Crespo-Facorro B. "Blood Gene Expression Profile Predicts Response to Antipsychotics.". Frontiers in molecular neuroscience (2018): http://europepmc.org/abstract/med/29559890.
    10.3389/fnmol.2018.00073
  22. "Supplementary data for the biological age linked to oxidative stress modifies breast cancer aggressiveness". Data in Brief 18 (2018): 1172-1184. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85045758641&doi=10.1016%2fj.dib.2018.03.132&partnerID=40&md5=359d31960bf2bd0d70bae30567fef2f1.
    10.1016/j.dib.2018.03.132
  23. "D3GB: An Interactive Genome Browser for R, Python, and WordPress". Journal of Computational Biology (2017): http://dx.doi.org/10.1089/cmb.2016.0213.
    10.1089/cmb.2016.0213
  24. Alonso-López D; Gutiérrez MA; Lopes KP; Prieto C; Santamaría R; De Las Rivas J. "APID interactomes: providing proteome-based interactomes with controlled quality for multiple species and derived networks.". (2016): http://europepmc.org/abstract/med/27131791.
    10.1093/nar/gkw363
  25. Infante J; Prieto C; Sierra M; Sánchez-Juan P; González-Aramburu I; Sánchez-Quintana C; Berciano J; Combarros O; Sainz J. "Comparative blood transcriptome analysis in idiopathic and LRRK2 G2019S-associated Parkinson's disease.". (2016): http://europepmc.org/abstract/med/26675812.
    10.1016/j.neurobiolaging.2015.10.026
  26. Prieto C. "Characterization of Nonribosomal Peptide Synthetases with NRPSsp.". (2016): http://europepmc.org/abstract/med/26831714.
    10.1007/978-1-4939-3375-4_17
  27. Domínguez-Santos R; García-Estrada C; Kosalková K; Prieto C; Santamarta I; Martín JF. "PcFKH1, a novel regulatory factor from the forkhead family, controls the biosynthesis of penicillin in Penicillium chrysogenum.". (2015): http://europepmc.org/abstract/med/26049046.
    10.1016/j.biochi.2015.05.015
  28. Crespo-Facorro B; Prieto C; Sainz J. "Schizophrenia gene expression profile reverted to normal levels by antipsychotics.". (2015): http://europepmc.org/abstract/med/25522406.
    10.1093/ijnp/pyu066
  29. Infante J; Prieto C; Sierra M; Sánchez-Juan P; González-Aramburu I; Sánchez-Quintana C; Berciano J; Combarros O; Sainz J. "Identification of candidate genes for Parkinson's disease through blood transcriptome analysis in LRRK2-G2019S carriers, idiopathic cases, and controls.". (2015): http://europepmc.org/abstract/med/25475535.
    10.1016/j.neurobiolaging.2014.10.039
  30. Chira C; Sedano J; Camara M; Prieto C; Villar JR; Corchado E. "A cluster merging method for time series microarray with production values.". (2014): http://europepmc.org/abstract/med/25081426.
    10.1142/S012906571450018X
  31. Prada CF; Alvarez-Velilla R; Balaña-Fouce R; Prieto C; Calvo-Álvarez E; Escudero-Martínez JM; Requena JM; et al. "Gimatecan and other camptothecin derivatives poison Leishmania DNA-topoisomerase IB leading to a strong leishmanicidal effect.". (2013): http://europepmc.org/abstract/med/23466420.
    10.1016/j.bcp.2013.02.024
  32. Prada CF; Alvarez-Velilla R; Diaz-González R; Prieto C; Pérez-Pertejo Y; Balaña-Fouce R; Reguera RM. "A pentapeptide signature motif plays a pivotal role in Leishmania DNA topoisomerase IB activity and camptothecin sensitivity.". (2012): http://europepmc.org/abstract/med/23000572.
    10.1016/j.bbagen.2012.09.005
  33. Domínguez-Santos R; Martín JF; Kosalková K; Prieto C; Ullán RV; García-Estrada C. "The regulatory factor PcRFX1 controls the expression of the three genes of ß-lactam biosynthesis in Penicillium chrysogenum.". (2012): http://europepmc.org/abstract/med/22960281.
    10.1016/j.fgb.2012.08.002
  34. Barreiro C; Prieto C; Sola-Landa A; Solera E; Martínez-Castro M; Pérez-Redondo R; García-Estrada C; et al. "Draft genome of Streptomyces tsukubaensis NRRL 18488, the producer of the clinically important immunosuppressant tacrolimus (FK506).". (2012): http://europepmc.org/abstract/med/22740677.
    10.1128/JB.00692-12
  35. Prieto C; García-Estrada C; Lorenzana D; Martín JF. "NRPSsp: non-ribosomal peptide synthase substrate predictor.". (2012): http://europepmc.org/abstract/med/22130593.
    10.1093/bioinformatics/btr659
  36. De Las Rivas J; Prieto C. "Protein interactions: mapping interactome networks to support drug target discovery and selection.". (2012): http://europepmc.org/abstract/med/22821600.
    10.1007/978-1-61779-965-5_12
  37. Aranda B; Blankenburg H; Kerrien S; Brinkman FS; Ceol A; Chautard E; Dana JM; et al. "PSICQUIC and PSISCORE: accessing and scoring molecular interactions.". (2011): http://europepmc.org/abstract/med/21716279.
    10.1038/nmeth.1637
  38. Martín JF; Sola-Landa A; Santos-Beneit F; Fernández-Martínez LT; Prieto C; Rodríguez-García A. "Cross-talk of global nutritional regulators in the control of primary and secondary metabolism in Streptomyces.". (2011): http://europepmc.org/abstract/med/21342462.
    10.1111/j.1751-7915.2010.00235.x
  39. Souiai O; Becker E; Prieto C; Benkahla A; De las Rivas J; Brun C. "Functional integrative levels in the human interactome recapitulate organ organization.". (2011): http://europepmc.org/abstract/med/21799769.
    10.1371/journal.pone.0022051
  40. Prieto C; De Las Rivas J. "Structural domain-domain interactions: assessment and comparison with protein-protein interaction data to improve the interactome.". (2010): http://europepmc.org/abstract/med/19731379.
    10.1002/prot.22569
  41. Prieto C; Risueño A; Fontanillo C; De las Rivas J. "Human gene coexpression landscape: confident network derived from tissue transcriptomic profiles.". (2008): http://europepmc.org/abstract/med/19081792.
    10.1371/journal.pone.0003911
  42. Hernandez-Toro J; Prieto C; De las Rivas J. "APID2NET: unified interactome graphic analyzer.". (2007): http://europepmc.org/abstract/med/17644818.
    10.1093/bioinformatics/btm373
  43. Orchard S; Salwinski L; Kerrien S; Montecchi-Palazzi L; Oesterheld M; Stümpflen V; Ceol A; et al. "The minimum information required for reporting a molecular interaction experiment (MIMIx).". (2007): http://europepmc.org/abstract/med/17687370.
    10.1038/nbt1324
  44. Prieto C; De Las Rivas J. "APID: Agile Protein Interaction DataAnalyzer.". (2006): http://europepmc.org/abstract/med/16845013.
    10.1093/nar/gkl128
  45. Prieto C; Rivas MJ; Sánchez JM; López-Fidalgo J; De Las Rivas J. "Algorithm to find gene expression profiles of deregulation and identify families of disease-altered genes.". (2006): http://europepmc.org/abstract/med/16500942.
    10.1093/bioinformatics/btl053
Livro
  1. Chira, C.; Sedano, J.; Villar, J.R.; Camara, M.; Prieto, C.. Shape-output gene clustering for time series microarrays. 2015.
    10.1007/978-3-319-19719-7_21
  2. Chira, C.; Sedano, J.; Villar, J.R.; Prieto, C.; Corchado, E.. Gene clustering in time series microarray analysis. 2014.
    10.1007/978-3-319-01854-6_30
  3. Barbero, I.; Chira, C.; Sedano, J.; Prieto, C.; Villar, J.R.; Corchado, E.. Merge method for shape-based clustering in time series microarray analysis. 2012.
    10.1007/978-3-642-32639-4_99
Pré-impressão
  1. Gómez-Vecino A; Corchado-Cobos R; Blanco-Gómez A; García-Sancha N; Castillo-Lluva S; Martín-García A; Mendiburu-Eliçabe M; et al. "Intermediate molecular phenotypes to identify genetic markers of anthracycline-induced cardiotoxicity risk". 2023. http://europepmc.org/abstract/PPR/PPR593531.
    10.1101/2023.01.05.522844