2013
DOI: 10.1371/journal.pone.0053544
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Visualising the Cross-Level Relationships between Pathological and Physiological Processes and Gene Expression: Analyses of Haematological Diseases

Abstract: The understanding of pathological processes is based on the comparison between physiological and pathological conditions, and transcriptomic analysis has been extensively applied to various diseases for this purpose. However, the way in which the transcriptomic data of pathological cells relate to the transcriptomes of normal cellular counterparts has not been fully explored, and may provide new and unbiased insights into the mechanisms of these diseases. To achieve this, it is necessary to develop a method to… Show more

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Cited by 12 publications
(19 citation statements)
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“…Next, we analysed gene profiles using a multidimensional analysis. Previous studies have shown how canonical correspondence analysis (CCA) can be applied to genomic data in order to visualise and reveal relationships between experimental samples and specified biological processes 24 . In the present study, CCA visualised transcriptomic similarities between thymic populations (WT thymic populations (DP2, DP3 and HSA hi CD4 SP) and DP3 from chimeras (MhcI KO TetZap70 or TetZap70 fed dox for 3 days)) and their relationships to thymic maturation and development from pre‐selection DP1 to either CD4 or CD8 lineages (Figure 8b).…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Next, we analysed gene profiles using a multidimensional analysis. Previous studies have shown how canonical correspondence analysis (CCA) can be applied to genomic data in order to visualise and reveal relationships between experimental samples and specified biological processes 24 . In the present study, CCA visualised transcriptomic similarities between thymic populations (WT thymic populations (DP2, DP3 and HSA hi CD4 SP) and DP3 from chimeras (MhcI KO TetZap70 or TetZap70 fed dox for 3 days)) and their relationships to thymic maturation and development from pre‐selection DP1 to either CD4 or CD8 lineages (Figure 8b).…”
Section: Resultsmentioning
confidence: 99%
“…CCA was performed as described previously, using R and Bioconductor package vegan 24 . Briefly, comparison of transcriptomes of CD8 SP and DP1 thymocytes were used to identify gene expression changes associated with selection and maturation of thymocytes, whereas comparison of CD4 SP HSA lo and CD8 SP thymocytes was used to define changes associated with CD4 vs CD8 lineage specification.…”
Section: Methodsmentioning
confidence: 99%
“…Detailed methodology is described elsewhere. 26 Signaling pathway impact analysis was performed using the Bioconductor package, SPIA , by comparing WT and RAG-1 −/− .…”
Section: Methodsmentioning
confidence: 99%
“…23-25 and Figure 1A). The application of canonical correspondence analysis (CCA) to microarray data has recently been reported (26). This method permits the interrogation of transcriptomic data, in the context of a specific biological problem, using another transcriptome as explanatory data.…”
Section: Islet-specific T Cells In the Pancreatic Ln Show A Tfh Gene mentioning
confidence: 99%
“…Quality control was done by the Bioconductor package, affyQCReport. CCA was performed as previously described (26). Briefly, logged expression values of the diabetes T cell data set were analyzed by CCAM using fold change of Tfh and naive Tfh data set (Gene Expression Omnibus [GEO] accession no.…”
Section: Cd45ramentioning
confidence: 99%