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Module #692, TG: 2.8, TC: 1.8, 82 probes, 81 Entrez genes, 5 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.
molecular_function
Elemental activities, such as catalysis or binding, describing the actions of a gene product at the molecular level. A given gene product may exhibit one or more molecular functions.
signal transducer activity
Mediates the transfer of a signal from the outside to the inside of a cell by means other than the introduction of the signal molecule itself into the cell.
receptor signaling protein activity
NA
molecular transducer activity
The molecular function that accepts an input of one form and creates an output of a different form.
all
This term is the most general term possible
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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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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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| Id | Pvalue | ExpCount | Count | Size | Term |
| GO:0044459 | 1.442e-02 | 2.545 | 10
ADORA1, CALB2, FLRT3, JAK2, JUP, KCTD15, PXN, SLC29A1, STIM1, TGFBR2 | 568 | plasma membrane part |
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GO MF test for over-representation
HELP
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.
— Click on the Help button again to close this help window.
| Id | Pvalue | ExpCount | Count | Size | Term |
| GO:0005057 | 9.205e-03 | 0.33 | 5
FLRT3, JAK2, MAP3K6, NCOA2, TGFBR2 | 88 | receptor signaling protein activity |
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KEGG Pathway test for over-representation
HELP
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
HELP
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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HELP
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
ADORA1adenosine A1 receptor (216220_s_at), score: -0.64
ALDH1L1aldehyde dehydrogenase 1 family, member L1 (215798_at), score: -0.74
C19orf61chromosome 19 open reading frame 61 (221335_x_at), score: 0.69
C7orf58chromosome 7 open reading frame 58 (220032_at), score: 0.71
CALB2calbindin 2 (205428_s_at), score: -0.67
CD79BCD79b molecule, immunoglobulin-associated beta (205297_s_at), score: -0.74
COX6A2cytochrome c oxidase subunit VIa polypeptide 2 (206353_at), score: -0.6
CXorf21chromosome X open reading frame 21 (220252_x_at), score: -0.63
CYP3A4cytochrome P450, family 3, subfamily A, polypeptide 4 (205998_x_at), score: -0.82
DENND3DENN/MADD domain containing 3 (212974_at), score: 0.73
EMCNendomucin (219436_s_at), score: 1
EPAGearly lymphoid activation protein (217050_at), score: -0.61
FBP1fructose-1,6-bisphosphatase 1 (209696_at), score: -0.82
FGL1fibrinogen-like 1 (205305_at), score: -0.67
FLJ21075hypothetical protein FLJ21075 (221172_at), score: -0.68
FLRT3fibronectin leucine rich transmembrane protein 3 (219250_s_at), score: 0.78
FUT2fucosyltransferase 2 (secretor status included) (210608_s_at), score: -0.64
GABARAPL3GABA(A) receptors associated protein like 3 (pseudogene) (211458_s_at), score: -0.62
GBA3glucosidase, beta, acid 3 (cytosolic) (219954_s_at), score: -0.76
GDF9growth differentiation factor 9 (221314_at), score: -0.61
GFOD1glucose-fructose oxidoreductase domain containing 1 (219821_s_at), score: -0.66
GNL3Lguanine nucleotide binding protein-like 3 (nucleolar)-like (205010_at), score: -0.6
GOLGA8Ggolgi autoantigen, golgin subfamily a, 8G (222149_x_at), score: -0.69
GPR32G protein-coupled receptor 32 (221469_at), score: -0.68
GPR56G protein-coupled receptor 56 (212070_at), score: 0.75
HAB1B1 for mucin (215778_x_at), score: -0.74
HAND1heart and neural crest derivatives expressed 1 (220138_at), score: -0.65
HMGA1high mobility group AT-hook 1 (210457_x_at), score: 0.76
IL9Rinterleukin 9 receptor (217212_s_at), score: -0.73
ITGALintegrin, alpha L (antigen CD11A (p180), lymphocyte function-associated antigen 1; alpha polypeptide) (213475_s_at), score: -0.64
JAK2Janus kinase 2 (a protein tyrosine kinase) (205842_s_at), score: 0.76
JUPjunction plakoglobin (201015_s_at), score: 0.69
KCTD15potassium channel tetramerisation domain containing 15 (218553_s_at), score: -0.61
KCTD2potassium channel tetramerisation domain containing 2 (212564_at), score: 0.65
LILRB3leukocyte immunoglobulin-like receptor, subfamily B (with TM and ITIM domains), member 3 (211133_x_at), score: -0.66
LLGL2lethal giant larvae homolog 2 (Drosophila) (203713_s_at), score: -0.66
LOC391132similar to hCG2041276 (216177_at), score: -0.79
LRDDleucine-rich repeats and death domain containing (221640_s_at), score: 0.76
MAGOH2mago-nashi homolog 2, proliferation-associated (Drosophila) (217692_at), score: -0.68
MAP3K6mitogen-activated protein kinase kinase kinase 6 (219278_at), score: 0.75
MEOX1mesenchyme homeobox 1 (205619_s_at), score: -0.76
MOBPmyelin-associated oligodendrocyte basic protein (210193_at), score: -0.63
MOGmyelin oligodendrocyte glycoprotein (214650_x_at), score: -0.69
MTMR11myotubularin related protein 11 (205076_s_at), score: 0.78
NCOA2nuclear receptor coactivator 2 (205732_s_at), score: 0.74
NDPNorrie disease (pseudoglioma) (206022_at), score: 0.85
NF1neurofibromin 1 (211094_s_at), score: 0.78
OAS32'-5'-oligoadenylate synthetase 3, 100kDa (218400_at), score: 0.65
OLFML2Bolfactomedin-like 2B (213125_at), score: 0.92
PAK1p21 protein (Cdc42/Rac)-activated kinase 1 (209615_s_at), score: 0.89
PCNXpecanex homolog (Drosophila) (213159_at), score: 0.73
PDE5Aphosphodiesterase 5A, cGMP-specific (206757_at), score: 0.79
PEX6peroxisomal biogenesis factor 6 (204545_at), score: 0.66
PHF7PHD finger protein 7 (215622_x_at), score: -0.62
POU4F1POU class 4 homeobox 1 (206940_s_at), score: -0.63
PRLHprolactin releasing hormone (221443_x_at), score: -0.67
PTPN6protein tyrosine phosphatase, non-receptor type 6 (206687_s_at), score: -0.86
PXNpaxillin (211823_s_at), score: 0.81
RASA4RAS p21 protein activator 4 (208534_s_at), score: 0.67
RASGRP3RAS guanyl releasing protein 3 (calcium and DAG-regulated) (205801_s_at), score: 0.93
SAA4serum amyloid A4, constitutive (207096_at), score: -0.61
SDPRserum deprivation response (phosphatidylserine binding protein) (218711_s_at), score: 0.93
SENP7SUMO1/sentrin specific peptidase 7 (220735_s_at), score: 0.78
SLC26A10solute carrier family 26, member 10 (214951_at), score: -0.6
SLC29A1solute carrier family 29 (nucleoside transporters), member 1 (201801_s_at), score: 0.7
SNTG1syntrophin, gamma 1 (220405_at), score: 0.65
SPAG8sperm associated antigen 8 (206816_s_at), score: -0.63
ST6GAL1ST6 beta-galactosamide alpha-2,6-sialyltranferase 1 (201998_at), score: -0.61
STIM1stromal interaction molecule 1 (202764_at), score: 0.77
SULT1B1sulfotransferase family, cytosolic, 1B, member 1 (207601_at), score: -0.75
TGFBR2transforming growth factor, beta receptor II (70/80kDa) (207334_s_at), score: 0.82
TGM4transglutaminase 4 (prostate) (217566_s_at), score: -0.67
TIAF1TGFB1-induced anti-apoptotic factor 1 (202039_at), score: 0.72
TNK1tyrosine kinase, non-receptor, 1 (217149_x_at), score: -0.62
TOM1L2target of myb1-like 2 (chicken) (214840_at), score: 0.75
TRAFD1TRAF-type zinc finger domain containing 1 (35254_at), score: 0.67
TULP2tubby like protein 2 (206733_at), score: -0.83
UBTD1ubiquitin domain containing 1 (219172_at), score: 0.66
VEGFBvascular endothelial growth factor B (203683_s_at), score: 0.68
YAF2YY1 associated factor 2 (206238_s_at), score: -0.65
ZNF652zinc finger protein 652 (205594_at), score: -0.73
Non-Entrez genes
205297_s_atUnknown, score: -0.69
HELP
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-1515485931.cel | 15 | 6 | Cycle | hgu133a2 | none | Cycle 1 |
| E-TABM-263-raw-cel-1515486211.cel | 29 | 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-1515485691.cel | 3 | 6 | Cycle | hgu133a2 | none | Cycle 1 |
| E-TABM-263-raw-cel-1515485711.cel | 4 | 6 | Cycle | hgu133a2 | none | Cycle 1 |
© 2008-2010 Computational Biology Group, Department of Medical Genetics,
University of Lausanne, Switzerland
