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 Accession affected Microarray Measured (#genes)
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 biological process 80 axon guidance
3.4853661954402924 5.2632 5 87 microtubule cytoskeleton organization and biogenesis
3.451416552066803 12.5000 2 molecular function 19 nucleoside transporter activity
8.6957 26 nucleobase, nucleoside, nucleotide and nucleic acid transporter activity
3.4141530990600586 2.3810 1 52 voltage-gated calcium channel activity
3.400171995162964 1.8987 3 biological process 176 cellular structure morphogenesis
3.3986358642578125 2.4691 5 201 second-messenger-mediated signaling
3.398496985435486 10.0000 2 23 spindle organization and biogenesis
3.397643566131592 33.3333 1 cellular component 3 junctional membrane complex
6.2500 21 sarcoplasmic reticulum
4.7619 Z disc
3.0303 molecular function 37 structural constituent of muscle
3.3942748308181763 4.3478 2 biological process 52 phosphoinositide metabolic process
3.1746 72 glycerophospholipid metabolic process
1.5038 155 phospholipid metabolic process
3.367248058319092 100.0000 1 1 negative regulation of antiviral response
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 3 positive regulation of viral genome replication
regulation of viral transcription
4 regulation of antiviral response by host
33.3333 5 positive regulation of viral life cycle
regulation of antiviral response
20.0000 10 regulation of viral genome replication
14.2857 1 7 virus-host interaction
11.1111 2 15 regulation of viral life cycle
5.5556 1 18 interaction with host
3.8462 30 viral reproductive process
3.0303 molecular function 36 double-stranded RNA binding
2.1277 biological process 56 interspecies interaction between organisms
symbiosis, encompassing mutualism through parasitism
0.9346 131 multi-organism process
3.3235580921173096 4.0000 molecular function 37 aspartic-type endopeptidase activity
3.313642740249634 50.0000 3 5 diacylglycerol O-acyltransferase activity
33.3333 2 6 2-acylglycerol O-acyltransferase activity
25.0000 1 biological process 4 triacylglycerol biosynthetic process
16.6667 7 acylglycerol biosynthetic process
neutral lipid biosynthetic process
14.2857 8 glycerol ether biosynthetic process
glycerolipid biosynthetic process
10.0000 2 molecular function 18 acylglycerol O-acyltransferase activity
5.8824 1 biological process 23 triacylglycerol metabolic process
5.0000 28 acylglycerol metabolic process
neutral lipid metabolic process
4.7619 29 glycerolipid metabolic process
4.5455 30 glycerol ether metabolic process
4.0000 molecular function 36 O-acyltransferase activity
3.290644884109497 7.1429 biological process 15 liver development
3.8462 molecular function 28 RNA polymerase II transcription factor activity, enhancer binding

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/