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Human macrophage response to L. (Viannia) panamensis: microarray evidence for an early inflammatory response.

Carolina Ramírez | Yira Díaz-Toro | Jair Tellez | Tiago M Castilho | Ricardo Rojas | Nicholas A Ettinger | Irina Tikhonova | Neal D Alexander | Liliana Valderrama | Janet Hager | Mary E Wilson | Aiping Lin | Hongyu Zhao | Nancy G Saravia | Diane McMahon-Pratt
PLoS neglected tropical diseases | 2012

Previous findings indicate that susceptibility to Leishmania (Viannia) panamensis infection of monocyte-derived macrophages from patients and asymptomatically infected individuals were associated with the adaptive immune response and clinical outcome.

Pubmed ID: 23145196

Research resources used in this publication

None found

Antibodies used in this publication

None found

Associated grants

  • Agency: NIAID NIH HHS, United States
    Id: R01 AI045540
  • Agency: NIAID NIH HHS, United States
    Id: P50 AI030639
  • Agency: NIAID NIH HHS, United States
    Id: AI076233
  • Agency: NIAID NIH HHS, United States
    Id: U19 AI065866
  • Agency: FIC NIH HHS, United States
    Id: D43 TW006589
  • Agency: NIAID NIH HHS, United States
    Id: AI045540
  • Agency: NIAID NIH HHS, United States
    Id: R01 AI076233
  • Agency: NIAID NIH HHS, United States
    Id: R01 AI093775
  • Agency: NIAID NIH HHS, United States
    Id: TMRC P50 AI-30639
  • Agency: FIC NIH HHS, United States
    Id: 1D43TW006589
  • Agency: NIAID NIH HHS, United States
    Id: 1U19 AI065866
  • Agency: NIGMS NIH HHS, United States
    Id: T32 GM007337

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This is a list of tools and resources that we have found mentioned in this publication.


R Project for Statistical Computing (tool)

RRID:SCR_001905

Software environment and programming language for statistical computing and graphics. R is integrated suite of software facilities for data manipulation, calculation and graphical display. Can be extended via packages. Some packages are supplied with the R distribution and more are available through CRAN family.It compiles and runs on wide variety of UNIX platforms, Windows and MacOS.

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Gene Map Annotator and Pathway Profiler (tool)

RRID:SCR_005094

GenMAPP is a free computer application designed to visualize gene expression and other genomic data on maps representing biological pathways and groupings of genes. Integrated with GenMAPP are programs to perform a global analysis of gene expression or genomic data in the context of hundreds of pathway MAPPs and thousands of Gene Ontology Terms (MAPPFinder), import lists of genes/proteins to build new MAPPs (MAPPBuilder), and export archives of MAPPs and expression/genomic data to the web. The main features underlying GenMAPP are: *Draw pathways with easy to use graphics tools *Color genes on MAPP files based on user-imported genomic data *Query data against MAPPs and the GeneOntology Enhanced features include the simultaneous view of multiple color sets, expanded species-specific gene databases and custom database options.

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BioCarta Pathways (tool)

RRID:SCR_006917

BioCarta Pathways allows users to observe how genes interact in dynamic graphical models. Online maps available within this resource depict molecular relationships from areas of active research. In an open source approach, this community-fed forum constantly integrates emerging proteomic information from the scientific community. It also catalogs and summarizes important resources providing information for over 120,000 genes from multiple species. Find both classical pathways as well as current suggestions for new pathways.

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BioEdit (tool)

RRID:SCR_007361

Software tool as biological sequence alignment editor written for Windows 95/98/NT/2000/XP/7 and sequence analysis program. Provides sequence manipulation and analysis options and links to external analysis programs to view and manipulate sequences with simple point and click operations.

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Karma (tool)

RRID:SCR_003732

An information integration software tool that enables users to integrate data from a variety of data sources including databases, spreadsheets, delimited text files, XML, JSON, KML and Web APIs. Users integrate information by modeling it according to an ontology of their choice using a graphical user interface that automates much of the process. Karma learns to recognize the mapping of data to ontology classes and then uses the ontology to propose a model that ties together these classes. Users then interact with the system to adjust the automatically generated model. During this process, users can transform the data as needed to normalize data expressed in different formats and to restructure it. Once the model is complete, users can publish the integrated data as RDF or store it in a database.

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