Processing math: 100%
  • Gene ontology (GO) Analysis
    • Visualisations
  • Export Data

Last updated: 2024-02-08

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Knit directory: Treg_uNK/1_analysis/

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# working with data
library(dplyr)
library(magrittr)
library(readr)
library(tibble)
library(reshape2)
library(tidyverse)

# Visualisation:
library(kableExtra)
library(ggplot2)
library(grid)
library(DT)
library(extrafont)
library(VennDiagram)
# Custom ggplot
library(gridExtra)
library(ggbiplot)
library(ggrepel)
library(rrvgo)
library(d3treeR)
library(plotly)
library(GOSemSim)
library(data.table)

# Bioconductor packages:
library(edgeR)
library(limma)
library(Glimma)
library(clusterProfiler)
library(org.Mm.eg.db)
library(enrichplot)
library(patchwork)

library(pandoc)
library(knitr)
opts_knit$set(progress = FALSE, verbose = FALSE)
opts_chunk$set(warning=FALSE, message=FALSE, echo=FALSE)

Gene ontology (GO) Analysis

Functional enrichment analysis is a method used to identify biological functions or processes overrepresented in a set of genes or proteins.

Gene Ontology (GO) is a standardized system for annotating genes and their products with terms from a controlled vocabulary, organized into three main categories: Molecular Function, Biological Process, and Cellular Component.

  • Biological Process (BP): Describes the larger, coordinated biological events or processes in which a gene product is involved. This category represents a series of molecular events that contribute to a specific function.

  • Molecular Function (MF): Describes the specific molecular activities that a gene product performs, such as catalytic or binding activities.

  • Cellular Component (CC): Describes the location or structure within the cell where a gene product is active, such as the nucleus, cytoplasm, or membrane.

Each of these three main categories is further organized into a hierarchical structure with more specific terms. The terms become more specialized as you move down the hierarchy (ontology level). Comparing a gene list to a reference database offers critical insights into the biological significance of gene expression changes.

Visualisations

The following visualisations are GO enrichment analysis performed with set of DE genes significantly below FDR 0.1 without FC threshold (TREAT). IMPORTANTLY, these GO terms are all significantly enriched (FDR <0.05)

  • Dot plot: illustrates the top 25 enriched GO terms.

    • Generatio= the number of significant DE gene in the term / the total of number of genes in the term. Indicated by the size
    • The shapes represents the three main GO categories, either BP, MP, or CC
  • Table: list of all the significant GO terms

  • Upset: illustrate the overlap of gene between different functional terms

Semantic similarity plots - GO specific

Due to the hierarchical structure of Gene Ontologies, the enriched sets generated often exhibit redundancy and pose challenges in interpretation. The subsequent analyses and visualizations seek to alleviate this redundancy in GO sets by grouping comparable terms based on their semantic similarity. The underlying concept behind measuring semantic similarity is grounded in the idea that genes sharing similar functions should possess analogous annotation vocabulary and exhibit close relationships within the ontology structure.

NOTE: the following semantic similarity analyses are performed using Graph-based method (Wang et al. 2007)

  • Dendrogram plot: performs hierarchical clustering on the semantic similarity of GO terms.

    • NOTE: to maintain readability, only the top 50 most significant GO terms are clustered. These clusters are then divided into 9 clades and labeled using the top 4 high-frequency words.
  • Scatter plot: illustrates the UMAP space between semantically similar significant GO terms

    • Distances represent the similarity between terms,
    • Size represents the significance (in log10FDR))
    • NOTE: to maintain reability, only the top 15 most significant parent terms are labeled. Parent terms are the most significant term in a particular cluster
  • Treemap plot: Visualise the of hierarchical structures of semantically similar GO terms.

    • The terms are colored based on their parent term,
    • The size of the term is proportional to the significance.

I recommend reading through the full list of significant GO terms and selecting the most biologically relevant for better visualisation

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Interactive scatter

3D Interactive scatter

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Interactive Tree

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Surfactant homeostasisPositive regulation of cytokine productionRegulation of T cell apoptotic processPositive regulation of cell developmentEndocrine processAcute inflammatory responsePositive regulation of erythrocyte differentiationInorganic ion import across plasma membraneEpithelial cell proliferationPositive regulation of cellular extravasationAdhesion of symbiont to hostRegulation of pathway-restricted SMAD protein phosphorylationRegulation of apoptotic process involved in morphogenesisRegulation of body fluid levelsCellular response to lipopolysaccharideNegative regulation of immune responseChemotaxisPositive regulation of phagocytosisVasoconstrictionGland morphogenesisRegulation of peptidase activityEpidermis developmentIntracellular potassium ion homeostasisOrganic hydroxy compound metabolic processT cell activationMembranous septum morphogenesisEpithelial cell differentiationAlpha-beta T cell proliferationGranzyme-mediated programmed cell death signaling pathwayCellular response to interferon-betaPositive regulation of response to cytokine stimulusPositive regulation of T cell mediated cytotoxicityCytokine-mediated signaling pathwayAdaptive immune responseComplement activation, classical pathwayPositive regulation of alpha-beta T cell proliferationType II interferon-mediated signaling pathwayRegulation of alpha-beta T cell proliferationExternal encapsulating structure organizationCell activation involved in immune responseMorphogenesis of a branching epitheliumNatural killer cell mediated cytotoxicityRegulation of lymphocyte differentiationRegulation of cell killingEmbryonic organ developmentEar developmentRegulation of immune effector processLeukocyte mediated cytotoxicityLymphocyte differentiationDefense response to bacteriumRegulation of lymphocyte activationLeukocyte cell-cell adhesionLymphocyte mediated immunityAntigen processing and presentation of endogenous peptide antigen via MHC class IGeneral
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Interactive Scatter

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3D scatter

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interactive_treemap(reducedTerms[[1]][[i]])

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Signaling receptor ligand precursor processingGlial cell migrationIntermediate filament cytoskeleton organizationKeratinocyte proliferationRegulation of transmembrane receptor protein serine/threonine kinase signaling pathwayApoptotic process involved in developmentMorphogenesis of a branching structureLabyrinthine layer morphogenesisExternal encapsulating structure organizationGland morphogenesisInorganic ion homeostasisDigestive system developmentSodium ion transmembrane transportRegulation of hormone levelsRenal system processSodium ion transportEpithelial cell morphogenesisTube formationEpithelial cell differentiationCollecting duct developmentGeneral
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Interactive Scatter

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interactive_treemap(reducedTerms[[1]][[i]])

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T cell differentiation in thymusCellular response to interferon-betaChromosome separationPositive regulation of leukocyte mediated cytotoxicityGranzyme-mediated programmed cell death signaling pathwayCell killingPositive regulation of T cell mediated cytotoxicityLeukocyte mediated cytotoxicityDefense response to protozoanAntigen processing and presentation of peptide antigen via MHC class IbGeneral

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Biological Processes parent terms
Biological Processes parent terms
Molecular Functions parent terms
Molecular Functions parent terms
Cellular Components parent terms
Cellular Components parent terms
Biological processes parent terms

Biological processes parent terms

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Export Data

The following are exported:

  • GO.xlsx - This spreadsheet contains all significantly enriched GO terms. NOTE:

R version 4.3.2 (2023-10-31)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 22.04.3 LTS

Matrix products: default
BLAS:   /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.10.0 
LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.10.0

locale:
 [1] LC_CTYPE=en_AU.UTF-8       LC_NUMERIC=C              
 [3] LC_TIME=en_AU.UTF-8        LC_COLLATE=en_AU.UTF-8    
 [5] LC_MONETARY=en_AU.UTF-8    LC_MESSAGES=en_AU.UTF-8   
 [7] LC_PAPER=en_AU.UTF-8       LC_NAME=C                 
 [9] LC_ADDRESS=C               LC_TELEPHONE=C            
[11] LC_MEASUREMENT=en_AU.UTF-8 LC_IDENTIFICATION=C       

time zone: Australia/Adelaide
tzcode source: system (glibc)

attached base packages:
[1] stats4    grid      stats     graphics  grDevices utils     datasets 
[8] methods   base     

other attached packages:
 [1] htmltools_0.5.7       knitr_1.45            pandoc_0.2.0         
 [4] patchwork_1.1.3       enrichplot_1.20.3     org.Mm.eg.db_3.17.0  
 [7] AnnotationDbi_1.62.2  IRanges_2.34.1        S4Vectors_0.38.2     
[10] Biobase_2.60.0        BiocGenerics_0.46.0   clusterProfiler_4.8.3
[13] Glimma_2.10.0         edgeR_3.42.4          limma_3.56.2         
[16] data.table_1.14.10    GOSemSim_2.26.1       plotly_4.10.3        
[19] d3treeR_0.1           rrvgo_1.12.2          ggrepel_0.9.4        
[22] ggbiplot_0.55         scales_1.3.0          plyr_1.8.9           
[25] gridExtra_2.3         VennDiagram_1.7.3     futile.logger_1.4.3  
[28] extrafont_0.19        DT_0.31               kableExtra_1.3.4     
[31] lubridate_1.9.3       forcats_1.0.0         stringr_1.5.1        
[34] purrr_1.0.2           tidyr_1.3.0           ggplot2_3.4.4        
[37] tidyverse_2.0.0       reshape2_1.4.4        tibble_3.2.1         
[40] readr_2.1.4           magrittr_2.0.3        dplyr_1.1.4          

loaded via a namespace (and not attached):
  [1] splines_4.3.2               later_1.3.2                
  [3] ggplotify_0.1.2             bitops_1.0-7               
  [5] polyclip_1.10-6             XML_3.99-0.16              
  [7] lifecycle_1.0.4             rprojroot_2.0.4            
  [9] MASS_7.3-60                 NLP_0.2-1                  
 [11] lattice_0.22-5              crosstalk_1.2.1            
 [13] sass_0.4.8                  rmarkdown_2.25             
 [15] jquerylib_0.1.4             yaml_2.3.8                 
 [17] httpuv_1.6.13               askpass_1.2.0              
 [19] reticulate_1.34.0           cowplot_1.1.2              
 [21] DBI_1.2.0                   RColorBrewer_1.1-3         
 [23] abind_1.4-5                 zlibbioc_1.46.0            
 [25] rvest_1.0.3                 GenomicRanges_1.52.1       
 [27] ggraph_2.1.0                RCurl_1.98-1.13            
 [29] yulab.utils_0.1.2           rappdirs_0.3.3             
 [31] tweenr_2.0.2                git2r_0.33.0               
 [33] GenomeInfoDbData_1.2.10     data.tree_1.1.0            
 [35] tm_0.7-11                   tidytree_0.4.6             
 [37] pheatmap_1.0.12             umap_0.2.10.0              
 [39] RSpectra_0.16-1             svglite_2.1.3              
 [41] gridSVG_1.7-5               codetools_0.2-19           
 [43] DelayedArray_0.26.7         ggforce_0.4.1              
 [45] DOSE_3.26.2                 xml2_1.3.6                 
 [47] tidyselect_1.2.0            aplot_0.2.2                
 [49] farver_2.1.1                viridis_0.6.4              
 [51] matrixStats_1.2.0           webshot_0.5.5              
 [53] jsonlite_1.8.8              ellipsis_0.3.2             
 [55] tidygraph_1.3.0             systemfonts_1.0.5          
 [57] ggnewscale_0.4.9            tools_4.3.2                
 [59] ragg_1.2.7                  treeio_1.24.3              
 [61] Rcpp_1.0.11                 glue_1.6.2                 
 [63] Rttf2pt1_1.3.12             here_1.0.1                 
 [65] xfun_0.41                   DESeq2_1.40.2              
 [67] qvalue_2.32.0               MatrixGenerics_1.12.3      
 [69] GenomeInfoDb_1.36.4         withr_2.5.2                
 [71] formatR_1.14                fastmap_1.1.1              
 [73] ggh4x_0.2.7                 fansi_1.0.6                
 [75] openssl_2.1.1               digest_0.6.33              
 [77] gridGraphics_0.5-1          timechange_0.2.0           
 [79] R6_2.5.1                    mime_0.12                  
 [81] textshaping_0.3.7           colorspace_2.1-0           
 [83] GO.db_3.17.0                RSQLite_2.3.4              
 [85] utf8_1.2.4                  generics_0.1.3             
 [87] graphlayouts_1.0.2          httr_1.4.7                 
 [89] htmlwidgets_1.6.4           S4Arrays_1.0.6             
 [91] scatterpie_0.2.1            whisker_0.4.1              
 [93] pkgconfig_2.0.3             gtable_0.3.4               
 [95] blob_1.2.4                  workflowr_1.7.1            
 [97] XVector_0.40.0              shadowtext_0.1.2           
 [99] fgsea_1.26.0                ggupset_0.3.0              
[101] png_0.1-8                   wordcloud_2.6              
[103] ggfun_0.1.3                 lambda.r_1.2.4             
[105] rstudioapi_0.15.0           tzdb_0.4.0                 
[107] nlme_3.1-163                cachem_1.0.8               
[109] parallel_4.3.2              HDO.db_0.99.1              
[111] treemap_2.4-4               pillar_1.9.0               
[113] vctrs_0.6.5                 slam_0.1-50                
[115] promises_1.2.1              xtable_1.8-4               
[117] extrafontdb_1.0             evaluate_0.23              
[119] cli_3.6.2                   locfit_1.5-9.8             
[121] compiler_4.3.2              futile.options_1.0.1       
[123] rlang_1.1.2                 crayon_1.5.2               
[125] labeling_0.4.3              fs_1.6.3                   
[127] writexl_1.4.2               stringi_1.8.3              
[129] viridisLite_0.4.2           gridBase_0.4-7             
[131] BiocParallel_1.34.2         munsell_0.5.0              
[133] Biostrings_2.68.1           lazyeval_0.2.2             
[135] Matrix_1.6-3                hms_1.1.3                  
[137] bit64_4.0.5                 KEGGREST_1.40.1            
[139] shiny_1.8.0                 highr_0.10                 
[141] SummarizedExperiment_1.30.2 igraph_1.6.0               
[143] memoise_2.0.1               bslib_0.6.1                
[145] ggtree_3.8.2                fastmatch_1.1-4            
[147] bit_4.0.5                   downloader_0.4             
[149] gson_0.1.0                  ape_5.7-1