Scientific

MK5 Microarray Data


Affected Genes - Ontology Breakdown - Gene Enrichment - Proteome Analysis

These are the micro-array results of a differential gene expression microarray experiments and the subsequent analysis steps performed on them. The up/down- regulation ratio was obtained by measuring WT cells against MK5 activated cells. See material and methods for technical information as well as the data usage policy.

Ontology Breakdown

Below is a table that can help you break down the effect of the gene alteration on the bioloigcal system. To create the table below we went over all the ontology terms and counted the number of times a gene was listed in that specific class, or one of its children. As can be expected, each class will differ in its behavior. Some will have a strong average regulation, but will contain very few genes, while others will be very large and broad classes that will have a lower average regulation, but which will whos an overall effect with many genes in many subgroups being affected.

The best strategy to analyze such classes is to a) filter out all the classes for which we have too little data (less than 5 affected genes on the micro array measurement). This can be done by writing '>5' in the 'Affected Genes' field. SEcondly we might also want to look at one specific ontology at first (click on 'biological process' in the table.

Once this is done we can sort the data properly by placing the 'Average Regulation' to the left (click on the green arrows) and the '% Affected Genes' as a second. We also want to sort them descending (the grey arrow should be pointing downward).

Now we can go investigate the data by first look at broadly affected classes ('Would Be Affected Genes'>60) and progressively lowering this value (to something like 'Would Be Affected Genes'>20)


Navigation/Query Panel:
Click on the attribute name to hide/unhide it. The green arrows can be used to shift columns left/right. Exact word match is written as =..., regular expressions can be matched with ~.... To select all values larger or equal than use >.... This would be <... for values smaller or equal than. To select all values within a specific range use [...,...].
Average Regulation (ratio) % Affected Genes Would Be Affected (#genes) Class Class Size (#genes) Class Microarray Measured (#genes) affected Accession
Results: HTML CSV LaTeX Showing element 125 to 174 of 8866 in total
Average Regulation (ratio)
% Affected Genes
Would Be Affected (#genes)
Class
Class Size (#genes)
Class
3.485576868057251 1.4286 1 axon guidance 80 biological process
3.4853661954402924 5.2632 5 microtubule cytoskeleton organization and biogenesis 87
3.451416552066803 12.5000 2 nucleoside transporter activity 19 molecular function
8.6957 nucleobase, nucleoside, nucleotide and nucleic acid transporter activity 26
3.4141530990600586 2.3810 1 voltage-gated calcium channel activity 52
3.400171995162964 1.8987 3 cellular structure morphogenesis 176 biological process
3.3986358642578125 2.4691 5 second-messenger-mediated signaling 201
3.398496985435486 10.0000 2 spindle organization and biogenesis 23
3.397643566131592 33.3333 1 junctional membrane complex 3 cellular component
6.2500 sarcoplasmic reticulum 21
4.7619 Z disc
3.0303 structural constituent of muscle 37 molecular function
3.3942748308181763 4.3478 2 phosphoinositide metabolic process 52 biological process
3.1746 glycerophospholipid metabolic process 72
1.5038 phospholipid metabolic process 155
3.367248058319092 100.0000 1 negative regulation of antiviral response 1
negative regulation of antiviral response by host
positive regulation of viral protein levels in host cell
regulation of viral protein levels in host cell
50.0000 2 positive regulation of viral genome replication 3
regulation of antiviral response by host 4
regulation of viral transcription 3
33.3333 positive regulation of viral life cycle 5
regulation of antiviral response
20.0000 regulation of viral genome replication 10
14.2857 1 virus-host interaction 7
11.1111 2 regulation of viral life cycle 15
5.5556 1 interaction with host 18
3.8462 viral reproductive process 30
3.0303 double-stranded RNA binding 36 molecular function
2.1277 interspecies interaction between organisms 56 biological process
symbiosis, encompassing mutualism through parasitism
0.9346 multi-organism process 131
3.3235580921173096 4.0000 aspartic-type endopeptidase activity 37 molecular function
3.313642740249634 50.0000 3 diacylglycerol O-acyltransferase activity 5
33.3333 2 2-acylglycerol O-acyltransferase activity 6
25.0000 1 triacylglycerol biosynthetic process 4 biological process
16.6667 acylglycerol biosynthetic process 7
neutral lipid biosynthetic process
14.2857 glycerol ether biosynthetic process 8
glycerolipid biosynthetic process
10.0000 2 acylglycerol O-acyltransferase activity 18 molecular function
5.8824 1 triacylglycerol metabolic process 23 biological process
5.0000 acylglycerol metabolic process 28
neutral lipid metabolic process
4.7619 glycerolipid metabolic process 29
4.5455 glycerol ether metabolic process 30
4.0000 O-acyltransferase activity 36 molecular function
3.290644884109497 7.1429 liver development 15 biological process
3.8462 RNA polymerase II transcription factor activity, enhancer binding 28 molecular function

Legend:
- The Average Regulation (ratio) is calculated only for the measured genes in this gene ontology term
- % Affected Genes is the % of genes in this gene ontology class that have been affected by the Mk5 alteration.
- Would Be Affected (#genes) represents how many genes of the overall class would have been affected if we measured each of them.
- The Class Size (#genes) counts the number of genes listed under the specific gene ontology term.
- Class is the GO class description.
- The Class refers to the ontology category, which can be molecular_function, biological_process or cellular_component.
- The Microarray Measured (#genes) lists how many genes of the specific ontology term were measured.
- Accession is the GO accession key.

- http://analysis.yellowcouch.org/