Using Systems Biology to understand Immunosenescen
  • Using Systems Biology to Understand Immunosenescence
  • Background
    • Introduction
    • 1.1. Aging in Society and in the Individual
    • 1.2. Aging and its Molecular Mechanisms
    • 1.3.The Remodeling of the Immune System: Immunosenescence
    • 1.4. Changes in the Immune System Related to Immunosenescence
    • 1.5 Chronic Inflammation During Aging: Inflammaging
    • 1.6 The Immune Risk Phenotype (IRP)
    • 1.6. Systems Biology
  • Objectives
  • Methods
    • Overall Methodology
    • 3.1 Survey of Studies
    • 3.2. Reannotation of Probes in Microarrays
    • 3.3. Data acquisition and pre-processing
    • 3.4. Creation of age-representative samples: AgeCollapsed
    • 3.5. Detection of Highly Age-Related Transcripts: AgingGenes
    • 3.6. Lifetime Co-Expressed Transcript Analysis: AgingNet
    • 3.7. Detection of Change Points in Age-Related Modules
  • Results
    • 4.1. Survey and Data Acquisition
    • 4.2. Reannotation of Platforms
    • 4.3. AgeCollapsed Pre-Processing and Creation
    • 4.4. Assessment of the Agreement of the Relationships of Transcripts with Age between the Sexes
    • 4.5. AgingGenes and AgingNet Reviews
    • 4.6 Aging Co-Expression Network: AgingNet
  • Discussion
    • Main Regards
    • AgingGenes
    • Análise de Co-Expressão: AgingNet
  • Conclusions
    • Final Regards
  • Citations
    • References
  • Appendix
    • Supplementary Files
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  1. Methods

3.2. Reannotation of Probes in Microarrays

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Microarrays are made up of several short-length probes that test different parts of the same transcript, which may or may not be from a protein-coding gene. However, because many platforms were developed years ago, the functional annotation of each transcript may be out of date. Therefore, the selected platforms were re-annotated using more recent versions of databases, such as Gencode (HARROW et al., 2012), Noncode (ZHAO et al., 2016), LNCipedia (VOLDERS et al., 2013) and MiTranscriptome (IYER et al., 2015) (Figure 3.2). Through intersections between genomic coordinates, probes from each platform were confirmed or assigned to new transcripts, such as coding genes, non-coding RNAs, among others.

Figura 3.2. Fluxograma sobre a reanotação. Fluxograma representando as etapas do processo de reanotação das sondas de microarray. Arquivos estão representados pelas formas em azul claro e programas e processos por formas em azul escuro. Adaptado de Carvalho-Bürger, 2017.