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Microbial Identification and Characterisation Unit
VISAVET Health Surveillance Centre
Universidad Complutense
Av. Puerta de Hierro s/n. 28040 Madrid. Spain

e-mail Microbial Identification and Characterisation Unit


Head office phone: (+34) 913 944 096

Laboratory phone: (+34) 913 943 975


This unit is focused on the study at the phenotypic, genomic and protein leves of pathogenic bacteria of veterinary interest. The main activities of the Unit are divided into three research lines that are closely related: clinical diagnosis (using phenotypic, molecular and chemotaxonomic methods, the molecular characterization of pathogenic bacteria of relevant clinical significance for epidemiological purposes and description of new bacterial species (bacterial taxonomy). The molecular characterization allows tracing epidemiological links between strains associated with outbreaks of disease, global epidemiological studies, monitoring programs, etc. Studies of bacterial taxonomy not only allow the description of new species but also allow, for example, the association of different pathogens with atypical clinical processes. Additionally, this unit integrates the Mass Spectrometry VISAVET- Bruker Platform enabling developing proteomics research studies in the field of microbiology and molecular histology.



VISAVET-BRUKER Mass Spectrometry

ICM

This platform was acquired in the 2011 call of the Equipment Acquisition and Scientific-Technical Infrastructure Adequacy (CAIMON) of Campus MONCLOA and enable the constitution of a service to enhance the research on campus.


The VISAVET-BRUKER service is made within the framework of a collaboration agreement between the Complutense University and Bruker Daltonik GMBH.


MALDI BIOTYPER system

Application for identification and classification of bacteria and fungi. The identification is based on the comparison of the spectral fingerprints of the microorganism with those existing in the database (composed for more than 4000 entries). The technique is an accurate, simple, fast and reliable alternative for the identification of bacteria with traditional methods.


 MALDI BIOTYPER analysis services (coming soon)


IMAGE MALDI system

Application of MALDI TOF MS for the two dimensional acquisition of mass spectra from fresh tissue section. Image MALDI is ideal for the identification of protein markers and other small molecules in tissue sections.


 IMAGE MALDI analysis services (coming soon)


LC-MALDI system

System allowing the identification of proteins primarily by determining its peptide fingerprint. Enables Proteomics studies.


 Servicios de Análisis por LC-MALDI (coming soon)


Investigation

Líneas de investigación



Publicaciones científicas

Next scientific publications:



Last scientific publications:




Tesis

Outreach

Tesis

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Comunicaciones

Last communications:


Microbial Identification and Characterisation Unit
Servicio ICM de espetrometría de masas
Staff

Head of unit

Marta Pérez Sancho

Profesor Contratado Doctor en régimen de interinidad
PhD in Veterinary Sciences

Head of laboratory

Almudena Casamayor Sanz
Técnico en Laboratorio de Diagnóstico Clínico

Coordinator

Ana Isabel Vela Alonso
Full Professor UCM
PhD in Veterinary Sciences
Lucas Domínguez Rodríguez
Full Professor UCM
PhD in Veterinary Sciences
José Francisco Fernández-Garayzabal Fernández
Full Professor UCM
PhD in Veterinary Sciences
Leydis Zamora Morales

Leydis Zamora Morales

PhD in Veterinary Sciences
Marta Pérez Díez

Marta Pérez Díez

Degree in Veterinary Medicine (DVM)
Aránzazu Buendía Andrés

Aránzazu Buendía Andrés

PhD in Veterinary Sciences
Estefanía Martínez Fernández

Estefanía Martínez Fernández

Técnico Superior en Laboratorio de Diagnóstico Clínico
Carmen Herranz Benito

Carmen Herranz Benito

Graduada en Veterinaria
Lidia Sánchez Morales
Graduado en Veterinaria
Andrea Pérez Domingo

Andrea Pérez Domingo

Laura Prieto Martínez

Laura Prieto Martínez

Graduada en Biología
Laura Leal Velez de Mendizábal

Laura Leal Velez de Mendizábal

Graduado en Biología
María Paz Muñoz Jiménez

María Paz Muñoz Jiménez

Graduada en Veterinaria

Internship
Jimena Arques Fernández

Jimena Arques Fernández


Stays
Gabriela Cecilia Retamar

Gabriela Cecilia Retamar

Universidad de Buenos Aires (UBA)

publiDB
ICM Science Publication Indicators
ISI Publications
Total
237
Last 12 mo.
4
Last 60 mo.
40
In Press
2
Citations
Impact Factor av.
2.584
I.F. last 12 mo.
2.400
I.F. last 60 mo.
3.798
Mode quartile
1


Categories
Total Quartile
Microbiology 89 3
Veterinary Sciences 86 1
Biotechnology & applied microbiology 24 3
Infectious Diseases 13 1
Immunology 11 1

ICM Outreach Publication Indicators
Publications
Total
41
Last 12 mo.
1
Last 60 mo.
1
Communications
Total
183
Last 12 mo.
11
Last 60 mo.
42