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Module #815, TG: 2.6, TC: 1.4, 103 probes, 102 Entrez genes, 14 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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cell adhesion
The attachment of a cell, either to another cell or to an underlying substrate such as the extracellular matrix, via cell adhesion molecules.
biological_process
Any process specifically pertinent to the functioning of integrated living units: cells, tissues, organs, and organisms. A process is a collection of molecular events with a defined beginning and end.
cellular process
Any process that is carried out at the cellular level, but not necessarily restricted to a single cell. For example, cell communication occurs among more than one cell, but occurs at the cellular level.
biological adhesion
The attachment of a cell or organism to a substrate or other organism.
all
This term is the most general term possible
cell adhesion
The attachment of a cell, either to another cell or to an underlying substrate such as the extracellular matrix, via cell adhesion molecules.
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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:0007155 | 7.344e-03 | 3.733 | 13
APP, ATP2C1, CDH13, FAT4, ITGA1, JUP, KAL1, NF1, OLR1, OPCML, PARVB, PCDH9, PXN | 368 | cell adhesion |
| GO:0022610 | 7.344e-03 | 3.733 | 13
APP, ATP2C1, CDH13, FAT4, ITGA1, JUP, KAL1, NF1, OLR1, OPCML, PARVB, PCDH9, PXN | 368 | biological adhesion |
| GO:0042990 | 2.041e-02 | 0.1319 | 3
NF1, NFKBIA, SMAD3 | 13 | regulation of transcription factor import into nucleus |
| GO:0042991 | 2.041e-02 | 0.1319 | 3
NF1, NFKBIA, SMAD3 | 13 | transcription factor import into nucleus |
| GO:0043525 | 3.625e-02 | 0.04058 | 2
NF1, TP53 | 4 | positive regulation of neuron apoptosis |
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GO CC test for over-representation
HELP
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.
— Click on the Help button again to close this help window.
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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:0008034 | 4.855e-02 | 0.1761 | 3
CDH13, LRP8, OLR1 | 17 | lipoprotein binding |
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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
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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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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
ABLIM1actin binding LIM protein 1 (200965_s_at), score: -0.75
ACTR3BARP3 actin-related protein 3 homolog B (yeast) (218868_at), score: 0.82
ADCK2aarF domain containing kinase 2 (221893_s_at), score: -0.75
AIM1absent in melanoma 1 (212543_at), score: -0.74
APPamyloid beta (A4) precursor protein (200602_at), score: 0.74
ATF5activating transcription factor 5 (204999_s_at), score: -0.74
ATMataxia telangiectasia mutated (210858_x_at), score: 0.72
ATP2C1ATPase, Ca++ transporting, type 2C, member 1 (211137_s_at), score: 0.75
BAT2HLA-B associated transcript 2 (212081_x_at), score: -0.81
BTBD2BTB (POZ) domain containing 2 (207722_s_at), score: -0.79
C14orf45chromosome 14 open reading frame 45 (220173_at), score: 0.76
C4orf43chromosome 4 open reading frame 43 (218513_at), score: 0.76
CALB2calbindin 2 (205428_s_at), score: 0.87
CDC25Bcell division cycle 25 homolog B (S. pombe) (201853_s_at), score: -0.73
CDC42BPBCDC42 binding protein kinase beta (DMPK-like) (217849_s_at), score: -0.85
CDC42EP4CDC42 effector protein (Rho GTPase binding) 4 (218062_x_at), score: -0.85
CDH13cadherin 13, H-cadherin (heart) (204726_at), score: 0.72
CICcapicua homolog (Drosophila) (212784_at), score: -0.86
CITcitron (rho-interacting, serine/threonine kinase 21) (212801_at), score: -0.77
CIZ1CDKN1A interacting zinc finger protein 1 (205516_x_at), score: -0.75
CNOT3CCR4-NOT transcription complex, subunit 3 (203239_s_at), score: -0.86
CRTC3CREB regulated transcription coactivator 3 (218648_at), score: -0.89
CScitrate synthase (208660_at), score: -0.75
DENND3DENN/MADD domain containing 3 (212974_at), score: -0.8
DENND5BDENN/MADD domain containing 5B (215058_at), score: 0.75
DMPKdystrophia myotonica-protein kinase (37996_s_at), score: -0.75
DMWDdystrophia myotonica, WD repeat containing (33768_at), score: -0.75
DNAJB9DnaJ (Hsp40) homolog, subfamily B, member 9 (202843_at), score: 0.91
DNAJC6DnaJ (Hsp40) homolog, subfamily C, member 6 (204720_s_at), score: 0.75
EDEM1ER degradation enhancer, mannosidase alpha-like 1 (203279_at), score: 0.76
EPHA4EPH receptor A4 (206114_at), score: 0.77
FAM18Bfamily with sequence similarity 18, member B (218446_s_at), score: 0.78
FAT4FAT tumor suppressor homolog 4 (Drosophila) (219427_at), score: 0.73
FBXL14F-box and leucine-rich repeat protein 14 (213145_at), score: -0.87
FLJ12529pre-mRNA cleavage factor I, 59 kDa subunit (217866_at), score: -0.76
FOXC2forkhead box C2 (MFH-1, mesenchyme forkhead 1) (214520_at), score: -0.75
FOXK2forkhead box K2 (203064_s_at), score: -0.88
GFOD1glucose-fructose oxidoreductase domain containing 1 (219821_s_at), score: 0.76
GGA3golgi associated, gamma adaptin ear containing, ARF binding protein 3 (209411_s_at), score: -0.73
GK3Pglycerol kinase 3 pseudogene (215966_x_at), score: 0.81
H1FXH1 histone family, member X (204805_s_at), score: -0.83
HAB1B1 for mucin (215778_x_at), score: 0.74
HMGA1high mobility group AT-hook 1 (210457_x_at), score: -0.85
HSD17B6hydroxysteroid (17-beta) dehydrogenase 6 homolog (mouse) (37512_at), score: 0.89
ITGA1integrin, alpha 1 (214660_at), score: 0.76
JUPjunction plakoglobin (201015_s_at), score: -0.85
KAL1Kallmann syndrome 1 sequence (205206_at), score: 0.93
KLHL23kelch-like 23 (Drosophila) (213610_s_at), score: 0.79
LOC391132similar to hCG2041276 (216177_at), score: 0.76
LRDDleucine-rich repeats and death domain containing (221640_s_at), score: -0.77
LRP2low density lipoprotein-related protein 2 (205710_at), score: -0.72
LRP8low density lipoprotein receptor-related protein 8, apolipoprotein e receptor (205282_at), score: 0.74
MAP1Smicrotubule-associated protein 1S (218522_s_at), score: -0.79
MAP3K6mitogen-activated protein kinase kinase kinase 6 (219278_at), score: -0.76
MFAP3Lmicrofibrillar-associated protein 3-like (205442_at), score: 0.75
NDPNorrie disease (pseudoglioma) (206022_at), score: -0.92
NEFMneurofilament, medium polypeptide (205113_at), score: 0.99
NF1neurofibromin 1 (211094_s_at), score: -0.88
NFKBIAnuclear factor of kappa light polypeptide gene enhancer in B-cells inhibitor, alpha (201502_s_at), score: -0.72
OAS32'-5'-oligoadenylate synthetase 3, 100kDa (218400_at), score: -0.8
OLFML2Bolfactomedin-like 2B (213125_at), score: -1
OLR1oxidized low density lipoprotein (lectin-like) receptor 1 (210004_at), score: 0.8
OPCMLopioid binding protein/cell adhesion molecule-like (214111_at), score: 0.74
PAK1p21 protein (Cdc42/Rac)-activated kinase 1 (209615_s_at), score: -0.79
PARVBparvin, beta (37965_at), score: -0.77
PCDH9protocadherin 9 (219737_s_at), score: 0.96
PCYT2phosphate cytidylyltransferase 2, ethanolamine (209577_at), score: -0.73
PDE5Aphosphodiesterase 5A, cGMP-specific (206757_at), score: -0.82
PRKCDprotein kinase C, delta (202545_at), score: -0.73
PRMT3protein arginine methyltransferase 3 (213320_at), score: 0.86
PXNpaxillin (211823_s_at), score: -0.85
RAB1ARAB1A, member RAS oncogene family (213440_at), score: 0.81
REREarginine-glutamic acid dipeptide (RE) repeats (200940_s_at), score: -0.87
RNF220ring finger protein 220 (219988_s_at), score: -0.8
RPL18AP6ribosomal protein L18a pseudogene 6 (216383_at), score: 0.89
RPS17P5ribosomal protein S17 pseudogene 5 (216348_at), score: 0.78
SAP30LSAP30-like (219129_s_at), score: -0.78
SAV1salvador homolog 1 (Drosophila) (218276_s_at), score: -0.74
SCAMP4secretory carrier membrane protein 4 (213244_at), score: -0.93
SERPINB9serpin peptidase inhibitor, clade B (ovalbumin), member 9 (209723_at), score: -0.73
SF1splicing factor 1 (208313_s_at), score: -0.86
SIRT6sirtuin (silent mating type information regulation 2 homolog) 6 (S. cerevisiae) (219613_s_at), score: -0.75
SLC33A1solute carrier family 33 (acetyl-CoA transporter), member 1 (203165_s_at), score: 0.78
SLC43A3solute carrier family 43, member 3 (213113_s_at), score: -0.74
SLC4A7solute carrier family 4, sodium bicarbonate cotransporter, member 7 (209884_s_at), score: 0.75
SMAD3SMAD family member 3 (218284_at), score: -0.77
SOLHsmall optic lobes homolog (Drosophila) (204275_at), score: -0.8
STIM1stromal interaction molecule 1 (202764_at), score: -0.73
SYNE1spectrin repeat containing, nuclear envelope 1 (209447_at), score: 0.81
TICAM2toll-like receptor adaptor molecule 2 (214658_at), score: 0.81
TLE4transducin-like enhancer of split 4 (E(sp1) homolog, Drosophila) (204872_at), score: 0.79
TP53tumor protein p53 (201746_at), score: -0.76
TRIM21tripartite motif-containing 21 (204804_at), score: -0.73
TRMT2ATRM2 tRNA methyltransferase 2 homolog A (S. cerevisiae) (91617_at), score: 0.75
TSKUtsukushin (218245_at), score: -0.75
UBTD1ubiquitin domain containing 1 (219172_at), score: -0.75
VEGFBvascular endothelial growth factor B (203683_s_at), score: -0.84
VPS37Bvacuolar protein sorting 37 homolog B (S. cerevisiae) (221704_s_at), score: -0.73
WDR42AWD repeat domain 42A (202249_s_at), score: -0.74
WDR6WD repeat domain 6 (217734_s_at), score: -0.88
YES1v-yes-1 Yamaguchi sarcoma viral oncogene homolog 1 (202932_at), score: -0.84
ZDHHC7zinc finger, DHHC-type containing 7 (218606_at), score: -0.73
Non-Entrez genes
201853_s_atUnknown, score: 0.78
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-1515486211.cel | 29 | 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-1515485871.cel | 12 | 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-1515486411.cel | 39 | 6 | Cycle | hgu133a2 | none | Cycle 1 |
| E-TABM-263-raw-cel-1515486171.cel | 27 | 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-1515485671.cel | 2 | 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-1515485811.cel | 9 | 6 | Cycle | hgu133a2 | none | Cycle 1 |
| E-TABM-263-raw-cel-1515485771.cel | 7 | 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-1515486371.cel | 37 | 6 | Cycle | hgu133a2 | none | Cycle 1 |
© 2008-2010 Computational Biology Group, Department of Medical Genetics,
University of Lausanne, Switzerland
