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) Class % Affected Genes Would Be Affected (#genes) affected Class Size (#genes) Class Microarray Measured (#genes) Accession
Results: HTML CSV LaTeX Showing element 51 to 100 of 5007 in total
Class  : biological process
Average Regulation (ratio)
Class
% Affected Genes
Would Be Affected (#genes)
Class Size (#genes)
3.7029240131378174 striated muscle development 2.7778 1 38
thymus development 11.1111 10
3.595149040222168 negative regulation of cell growth 7.6923 3 41
negative regulation of growth 5.8824 57
3.594250440597534 cell migration 0.9259 2 248
3.575074315071106 axonogenesis 4.4444 49
cell part morphogenesis 3.7736 59
cell projection morphogenesis
neurite morphogenesis
3.485576868057251 axon guidance 1.4286 1 80
3.4853661954402924 microtubule cytoskeleton organization and biogenesis 5.2632 5 87
3.400171995162964 cellular structure morphogenesis 1.8987 3 176
3.3986358642578125 second-messenger-mediated signaling 2.4691 5 201
3.398496985435486 spindle organization and biogenesis 10.0000 2 23
3.3942748308181763 glycerophospholipid metabolic process 3.1746 72
phosphoinositide metabolic process 4.3478 52
phospholipid metabolic process 1.5038 155
3.367248058319092 interaction with host 5.5556 1 18
interspecies interaction between organisms 2.1277 56
multi-organism process 0.9346 131
negative regulation of antiviral response 100.0000 1
negative regulation of antiviral response by host
positive regulation of viral genome replication 50.0000 2 3
positive regulation of viral life cycle 33.3333 5
positive regulation of viral protein levels in host cell 100.0000 1 1
regulation of antiviral response 33.3333 2 5
regulation of antiviral response by host 50.0000 4
regulation of viral genome replication 20.0000 10
regulation of viral life cycle 11.1111 15
regulation of viral protein levels in host cell 100.0000 1 1
regulation of viral transcription 50.0000 2 3
symbiosis, encompassing mutualism through parasitism 2.1277 1 56
viral reproductive process 3.8462 30
virus-host interaction 14.2857 7
3.313642740249634 acylglycerol biosynthetic process 16.6667
acylglycerol metabolic process 5.0000 28
glycerol ether biosynthetic process 14.2857 8
glycerol ether metabolic process 4.5455 30
glycerolipid biosynthetic process 14.2857 8
glycerolipid metabolic process 4.7619 29
neutral lipid biosynthetic process 16.6667 7
neutral lipid metabolic process 5.0000 28
triacylglycerol biosynthetic process 25.0000 4
triacylglycerol metabolic process 5.8824 23
3.290644884109497 liver development 7.1429 15
3.284923235575358 membrane organization and biogenesis 1.2876 3 252
3.2791879177093506 response to pain 12.5000 1 8
sensory perception of pain 9.0909 11
3.1892552375793457 fatty acid metabolic process 1.3072 2 172
3.175950493131365 chromosome organization and biogenesis (sensu Eukaryota) 2.0349 10 496

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/