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Module #732, TG: 2.8, TC: 1.2, 71 probes, 71 Entrez genes, 21 conditions
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The image plot shows the color-coded level of gene expression, for the
genes and conditions in a given transcription module. The genes are on
the horizontal, the conditions on the vertical axis.
The genes are ordered according to their ISA gene scores, similarly
the conditions are ordered according to their condition scores. The
score of a gene means the «degree of inclusion» in
the module: a high score gene is essential in the module.
Condition scores can also be negative, that means that the genes of
the module are all down-regulated in the condition. Here the absolute
value of the score gives the «degree of inclusion».
The plots above and beside the expression matrix show the gene scores
and condition scores, respectively.
Note that the plot is interactive, you can see the name of the gene
and condition under the mouse cursor.
The expression matrix was normalized to have mean zero and standard
deviation one for every gene separately across all conditions
(i.e. not just for the conditions in the module).
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Under-expression is coded with green,
over-expression with red color.
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The GO tree — Biological processes
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This is one of three sections showing Gene Ontology enrichment of the
current module: in this case for biological processes.
The graph shows the hierarchy of the GO categories, their enrichment
for the current module is color coded, and the blue number beside the
category is the minus log ten p-value of the enrichment. (Calculated
using the standard hypergeometric test.) The color of the arrows code
«is a» (cyan) and «part of» relationships.
The tree was built the following way. First all GO terms with more
significant enrichment p-value than 0.05 were collected. Then all
paths from these terms to the root node of the GO tree were included
too. If a GO term is included more than once in the tree, then the
green numbers show 1) the id of the node, this makes it easier to find
other appereances of the term, and 2) the number of appearences.
Note that the same GO category might show up on the graph many
times. This is because the GO was «straightened» for this
graph, i.e. if there are more paths from a GO term to the root node of
the tree, all of them are included. The green numbers
Move the mouse cursor over the terms to get their definition. Clicking
on them takes you to the corresponding Gene Ontology web page.
If you cannot see a graph here at all, that means that there were no
significantly enriched GO categories, at the 0.05 level.
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The GO tree — Cellular Components
HELP
This is one of three sections showing Gene Ontology enrichment of the
current module: in this case for cellular components.
The graph shows the hierarchy of the GO categories, their enrichment
for the current module is color coded, and the blue number beside the
category is the minus log ten p-value of the enrichment. (Calculated
using the standard hypergeometric test.) The color of the arrows code
«is a» (cyan) and «part of» relationships.
The tree was built the following way. First all GO terms with more
significant enrichment p-value than 0.05 were collected. Then all
paths from these terms to the root node of the GO tree were included
too. If a GO term is included more than once in the tree, then the
green numbers show 1) the id of the node, this makes it easier to find
other appereances of the term, and 2) the number of appearences.
Note that the same GO category might show up on the graph many
times. This is because the GO was «straightened» for this
graph, i.e. if there are more paths from a GO term to the root node of
the tree, all of them are included. The green numbers
Move the mouse cursor over the terms to get their definition. Clicking
on them takes you to the corresponding Gene Ontology web page.
If you cannot see a graph here at all, that means that there were no
significantly enriched GO categories, at the 0.05 level.
— Click on the Help button again to close this help window.
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The GO tree — Molecular Function
HELP
This is one of three sections showing Gene Ontology enrichment of the
current module: in this case for molecular function.
The graph shows the hierarchy of the GO categories, their enrichment
for the current module is color coded, and the blue number beside the
category is the minus log ten p-value of the enrichment. (Calculated
using the standard hypergeometric test.) The color of the arrows code
«is a» (cyan) and «part of» relationships.
The tree was built the following way. First all GO terms with more
significant enrichment p-value than 0.05 were collected. Then all
paths from these terms to the root node of the GO tree were included
too. If a GO term is included more than once in the tree, then the
green numbers show 1) the id of the node, this makes it easier to find
other appereances of the term, and 2) the number of appearences.
Note that the same GO category might show up on the graph many
times. This is because the GO was «straightened» for this
graph, i.e. if there are more paths from a GO term to the root node of
the tree, all of them are included. The green numbers
Move the mouse cursor over the terms to get their definition. Clicking
on them takes you to the corresponding Gene Ontology web page.
If you cannot see a graph here at all, that means that there were no
significantly enriched GO categories, at the 0.05 level.
— Click on the Help button again to close this help window.
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GO BP test for over-representation
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List of all enriched GO categories (biological processes), at the 0.05
p-value level.
The columns:
- ExpCount is the expected count of genes in the
module annotated with the given GO term, just by chance.
- Count
is the number of genes in the module annotated with the given GO
term.
- Size is the total number of genes (in our universe)
annotated with the GO term.
Clicking on Count shows the genes that drive the
enrichment. You can also click on the individual numbers in
the Count column, to show the driving genes for that individual
GO category.
Clicking on the GO identifiers takes you to the Gene Ontology web
pages.
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| Id | Pvalue | ExpCount | Count | Size | Term |
| GO:0043507 | 1.565e-02 | 0.1156 | 3
MAP3K6, PAK1, PKN1 | 16 | positive regulation of JUN kinase activity |
| GO:0043506 | 1.795e-02 | 0.1228 | 3
MAP3K6, PAK1, PKN1 | 17 | regulation of JUN kinase activity |
| GO:0048812 | 1.995e-02 | 0.5781 | 5
BAIAP2, KAL1, MAP1S, NEFM, PIP5K1C | 80 | neurite morphogenesis |
| GO:0048667 | 2.086e-02 | 0.5853 | 5
BAIAP2, KAL1, MAP1S, NEFM, PIP5K1C | 81 | cell morphogenesis involved in neuron differentiation |
| GO:0032990 | 2.355e-02 | 0.607 | 5
BAIAP2, KAL1, MAP1S, NEFM, PIP5K1C | 84 | cell part morphogenesis |
| GO:0048858 | 2.355e-02 | 0.607 | 5
BAIAP2, KAL1, MAP1S, NEFM, PIP5K1C | 84 | cell projection morphogenesis |
| GO:0031175 | 3.405e-02 | 0.6793 | 5
BAIAP2, KAL1, MAP1S, NEFM, PIP5K1C | 94 | neurite development |
| GO:0000904 | 3.630e-02 | 0.6937 | 5
BAIAP2, KAL1, MAP1S, NEFM, PIP5K1C | 96 | cell morphogenesis involved in differentiation |
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GO CC test for over-representation
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List of all enriched GO categories (cellular components), at the 0.05
p-value level.
The columns:
- ExpCount is the expected count of genes in the
module annotated with the given GO term, just by chance.
- Count
is the number of genes in the module annotated with the given GO
term.
- Size is the total number of genes (in our universe)
annotated with the GO term.
Clicking on Count shows the genes that drive the
enrichment. You can also click on the individual numbers in
the Count column, to show the driving genes for that individual
GO category.
Clicking on the GO identifiers takes you to the Gene Ontology web
pages.
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GO MF test for over-representation
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List of all enriched GO categories (molecular function), at the 0.05
p-value level.
The columns:
- ExpCount is the expected count of genes in the
module annotated with the given GO term, just by chance.
- Count
is the number of genes in the module annotated with the given GO
term.
- Size is the total number of genes (in our universe)
annotated with the GO term.
Clicking on Count shows the genes that drive the
enrichment. You can also click on the individual numbers in
the Count column, to show the driving genes for that individual
GO category.
Clicking on the GO identifiers takes you to the Gene Ontology web
pages.
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KEGG Pathway test for over-representation
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List of all enriched KEGG pathways, at the 0.05
p-value level.
The columns:
- ExpCount is the expected count of genes in the
module annotated with the given KEGG pathway, just by chance.
- Count
is the number of genes in the module annotated with the given KEGG
pathway.
- Size is the total number of genes (in our universe)
annotated with the KEGG pathway.
Clicking on Count shows the genes that drive the
enrichment. You can also click on the individual numbers in
the Count column, to show the driving genes for that individual
KEGG pathway.
Clicking on the KEGG identifiers takes you to the KEGG web site.
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miRNA test for over-representation
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List of all enriched miRNA families, at the 0.05
p-value level.
The columns:
- ExpCount is the expected count of genes in the
module regulated by the given miRNA family, just by chance.
- Count
is the number of genes in the module regulated by the given miRNA
family.
- Size is the total number of genes (in our universe)
regulated with the given miRNA family.
Clicking on Count shows the genes that drive the
enrichment. You can also click on the individual numbers in
the Count column, to show the driving genes for that individual
miRNA family.
The miRNA regulation data was taken from the TargetScan database.
(Only the conserved sites were used for the current analysis.)
Clicking on the miRNA names takes you to the TargetScan web site.
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Chromosome test for over-representation
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List of all enriched Chromosomes, at the 0.05
p-value level.
The columns:
- ExpCount is the expected number of genes in the
module on the given chromosome, just by chance.
- Count
is the number of genes in the module on the given chromosome.
- Size is the total number of genes (in our universe)
on the given chromosome.
Clicking on Count shows the genes that drive the
enrichment. You can also click on the individual numbers in
the Count column, to show the driving genes for that individual
chromosome.
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A list of all genes in the current module, in alphabetical order. The
size of the text corresponds to the gene scores.
Note that some gene symbols may show up more than once, if many
probes match the same Entrez gene.
Genes with no Entrez mapping are given separately, with their
Affymetrics probe ID.
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Entrez genes
ABCD1ATP-binding cassette, sub-family D (ALD), member 1 (205142_x_at), score: 0.72
ARSAarylsulfatase A (204443_at), score: 0.69
ATN1atrophin 1 (40489_at), score: 0.78
B3GAT3beta-1,3-glucuronyltransferase 3 (glucuronosyltransferase I) (203452_at), score: 0.76
BACE2beta-site APP-cleaving enzyme 2 (217867_x_at), score: 0.71
BAIAP2BAI1-associated protein 2 (205294_at), score: 0.69
BAP1BRCA1 associated protein-1 (ubiquitin carboxy-terminal hydrolase) (201419_at), score: 0.73
BAT2HLA-B associated transcript 2 (212081_x_at), score: 0.77
BTBD2BTB (POZ) domain containing 2 (207722_s_at), score: 0.82
CABIN1calcineurin binding protein 1 (37652_at), score: 0.69
CDC42BPBCDC42 binding protein kinase beta (DMPK-like) (217849_s_at), score: 0.87
CICcapicua homolog (Drosophila) (212784_at), score: 0.81
CITcitron (rho-interacting, serine/threonine kinase 21) (212801_at), score: 0.69
CIZ1CDKN1A interacting zinc finger protein 1 (205516_x_at), score: 0.87
CNIH3cornichon homolog 3 (Drosophila) (214841_at), score: 0.78
CNOT3CCR4-NOT transcription complex, subunit 3 (203239_s_at), score: 0.84
CRTC3CREB regulated transcription coactivator 3 (218648_at), score: 0.75
CScitrate synthase (208660_at), score: 0.67
FLJ12529pre-mRNA cleavage factor I, 59 kDa subunit (217866_at), score: 0.8
FOXK2forkhead box K2 (203064_s_at), score: 0.88
GRINAglutamate receptor, ionotropic, N-methyl D-aspartate-associated protein 1 (glutamate binding) (212090_at), score: 0.69
H1FXH1 histone family, member X (204805_s_at), score: 0.73
HMGA1high mobility group AT-hook 1 (210457_x_at), score: 0.8
HNRNPUL1heterogeneous nuclear ribonucleoprotein U-like 1 (209675_s_at), score: 0.76
HSPA12Aheat shock 70kDa protein 12A (214434_at), score: 0.77
IDUAiduronidase, alpha-L- (205059_s_at), score: 0.73
KAL1Kallmann syndrome 1 sequence (205206_at), score: -0.84
LOC90379hypothetical protein BC002926 (221849_s_at), score: 0.68
LRDDleucine-rich repeats and death domain containing (221640_s_at), score: 0.73
LRFN4leucine rich repeat and fibronectin type III domain containing 4 (219491_at), score: 0.69
LRRN3leucine rich repeat neuronal 3 (209841_s_at), score: -0.76
MAP1Smicrotubule-associated protein 1S (218522_s_at), score: 0.85
MAP3K6mitogen-activated protein kinase kinase kinase 6 (219278_at), score: 0.8
MAP7D1MAP7 domain containing 1 (217943_s_at), score: 0.73
MAST2microtubule associated serine/threonine kinase 2 (211593_s_at), score: 0.71
MFAP3Lmicrofibrillar-associated protein 3-like (205442_at), score: -0.87
NBL1neuroblastoma, suppression of tumorigenicity 1 (37005_at), score: 0.83
NDPNorrie disease (pseudoglioma) (206022_at), score: 0.73
NEFMneurofilament, medium polypeptide (205113_at), score: -0.96
NPIPnuclear pore complex interacting protein (204538_x_at), score: 0.69
OLFML2Bolfactomedin-like 2B (213125_at), score: 0.76
PAK1p21 protein (Cdc42/Rac)-activated kinase 1 (209615_s_at), score: 0.68
PARVBparvin, beta (37965_at), score: 0.87
PCDHG@protocadherin gamma cluster (215836_s_at), score: 0.74
PCDHGA1protocadherin gamma subfamily A, 1 (209079_x_at), score: 0.81
PCNXpecanex homolog (Drosophila) (213159_at), score: 0.73
PIP5K1Cphosphatidylinositol-4-phosphate 5-kinase, type I, gamma (212518_at), score: 0.85
PKN1protein kinase N1 (202161_at), score: 0.76
POLR2Apolymerase (RNA) II (DNA directed) polypeptide A, 220kDa (202725_at), score: 0.69
POLSpolymerase (DNA directed) sigma (202466_at), score: 0.69
POM121POM121 membrane glycoprotein (rat) (212178_s_at), score: 0.8
POMZP3POM (POM121 homolog, rat) and ZP3 fusion (204148_s_at), score: 0.76
PXNpaxillin (211823_s_at), score: 0.7
RBM15BRNA binding motif protein 15B (202689_at), score: 0.71
RNF220ring finger protein 220 (219988_s_at), score: 0.76
RPL18AP6ribosomal protein L18a pseudogene 6 (216383_at), score: -0.93
RPS17P5ribosomal protein S17 pseudogene 5 (216348_at), score: -0.8
SCAMP4secretory carrier membrane protein 4 (213244_at), score: 1
SDC1syndecan 1 (201287_s_at), score: 0.71
SF1splicing factor 1 (208313_s_at), score: 0.88
SOLHsmall optic lobes homolog (Drosophila) (204275_at), score: 0.91
SSBP3single stranded DNA binding protein 3 (217991_x_at), score: 0.75
STIM1stromal interaction molecule 1 (202764_at), score: 0.68
STRN4striatin, calmodulin binding protein 4 (217903_at), score: 0.77
SYNE1spectrin repeat containing, nuclear envelope 1 (209447_at), score: -0.79
TXLNAtaxilin alpha (212300_at), score: 0.72
VEGFBvascular endothelial growth factor B (203683_s_at), score: 0.8
VPS37Bvacuolar protein sorting 37 homolog B (S. cerevisiae) (221704_s_at), score: 0.83
WDR6WD repeat domain 6 (217734_s_at), score: 0.71
XAB2XPA binding protein 2 (218110_at), score: 0.74
ZFP36L1zinc finger protein 36, C3H type-like 1 (211965_at), score: 0.74
Non-Entrez genes
Unknown, score:
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Conditions in the module, given in the same order as on the expression
plot above. Red color means over-expression, green under-expression in
the given condition.
The barplot below shows the condition (sample) scores. A separate bar
is shown for each sample, its height is the corresponding score of the
sample in the module. The red and green numbers on the bars are the
sample scores expressed in percents, i.e. 100% is 1.0.
The red and green lines show the module thresholds, samples above
the red line and below the green line are included in the module.
The different experiments that were part of the study, are separated
by dashed vertical lines.
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| Id | sample | Experiment | ExpName | Array | Syndrome | Cell.line |
| E-TABM-263-raw-cel-1515485771.cel | 7 | 6 | Cycle | hgu133a2 | none | Cycle 1 |
| E-TABM-263-raw-cel-1515486371.cel | 37 | 6 | Cycle | hgu133a2 | none | Cycle 1 |
| E-TABM-263-raw-cel-1515485751.cel | 6 | 6 | Cycle | hgu133a2 | none | Cycle 1 |
| E-TABM-263-raw-cel-1515486431.cel | 40 | 6 | Cycle | hgu133a2 | none | Cycle 1 |
| E-TABM-263-raw-cel-1515485891.cel | 13 | 6 | Cycle | hgu133a2 | none | Cycle 1 |
| E-TABM-263-raw-cel-1515486091.cel | 23 | 6 | Cycle | hgu133a2 | none | Cycle 1 |
| E-TABM-263-raw-cel-1515485811.cel | 9 | 6 | Cycle | hgu133a2 | none | Cycle 1 |
| E-TABM-263-raw-cel-1515485671.cel | 2 | 6 | Cycle | hgu133a2 | none | Cycle 1 |
| E-GEOD-3407-raw-cel-1437949557.cel | 1 | 4 | Cockayne | hgu133a | CS | eGFP |
| E-TABM-263-raw-cel-1515486151.cel | 26 | 6 | Cycle | hgu133a2 | none | Cycle 1 |
| E-GEOD-3860-raw-cel-1561690416.cel | 15 | 5 | HGPS | hgu133a | none | GM0316B |
| E-TABM-263-raw-cel-1515486071.cel | 22 | 6 | Cycle | hgu133a2 | none | Cycle 1 |
| E-GEOD-3860-raw-cel-1561690472.cel | 17 | 5 | HGPS | hgu133a | none | GM00038C |
| E-GEOD-3860-raw-cel-1561690392.cel | 14 | 5 | HGPS | hgu133a | none | GMO8398C |
| E-TABM-263-raw-cel-1515486411.cel | 39 | 6 | Cycle | hgu133a2 | none | Cycle 1 |
| E-TABM-263-raw-cel-1515485711.cel | 4 | 6 | Cycle | hgu133a2 | none | Cycle 1 |
| E-TABM-263-raw-cel-1515485871.cel | 12 | 6 | Cycle | hgu133a2 | none | Cycle 1 |
| E-TABM-263-raw-cel-1515486211.cel | 29 | 6 | Cycle | hgu133a2 | none | Cycle 1 |
| E-GEOD-3860-raw-cel-1561690344.cel | 10 | 5 | HGPS | hgu133a | none | GM00038C |
| E-TABM-263-raw-cel-1515485691.cel | 3 | 6 | Cycle | hgu133a2 | none | Cycle 1 |
| E-GEOD-3860-raw-cel-1561690304.cel | 8 | 5 | HGPS | hgu133a | none | GMO8398C |
© 2008-2010 Computational Biology Group, Department of Medical Genetics,
University of Lausanne, Switzerland
