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) affected Class Class Size (#genes) Class Microarray Measured (#genes) Accession
Results: HTML CSV LaTeX Showing element 25 to 74 of 5007 in total
Class  : biological process
Average Regulation (ratio)
% Affected Genes
Would Be Affected (#genes)
Class
Class Size (#genes)
4.7113165855407715 1.0638 1 carbohydrate catabolic process 121
0.9615 glucose metabolic process 130
0.6944 hexose metabolic process 174
0.6623 monosaccharide metabolic process 182
4.620415210723877 2.7027 protein amino acid N-linked glycosylation 40
4.601345539093018 1.0811 2 reproductive process 225
4.506189823150635 5.8824 1 phagocytosis 18
4.492823123931885 6.6667 negative regulation of gene expression, epigenetic 20
2.2222 regulation of gene expression, epigenetic 53
4.407965660095215 1.3333 neuropeptide signaling pathway 100
4.105485280354817 5.4545 4 humoral immune response 80
4.079947471618652 3.4483 1 insulin receptor signaling pathway 32
4.046511650085449 50.0000 2 nuclear migration 3
33.3333 1 nuclear membrane organization and biogenesis
25.0000 2 establishment of nucleus localization 6
12.5000 1 mitotic spindle organization and biogenesis 9
4.037245273590088 14.2857 transmembrane receptor protein tyrosine phosphatase signaling pathway 7
3.9217323064804077 40.0000 2 embryonic skeletal morphogenesis 5
18.1818 skeletal morphogenesis 13
3.895843982696533 1.0309 1 Wnt receptor signaling pathway 109
3.819567561149597 3.2258 4 regulation of cell growth 133
3.8173599243164062 2.9412 1 transcription initiation from RNA polymerase II promoter 39
1.7857 transcription initiation 68
3.721451759338379 4.4444 2 chromatin remodeling 53
3.7029240131378174 50.0000 1 myoblast migration 2
11.1111 thymus development 10
2.7778 striated muscle development 38
1.9608 hemopoietic or lymphoid organ development 66
3.595149040222168 7.6923 3 negative regulation of cell growth 41
5.8824 negative regulation of growth 57
3.594250440597534 0.9259 2 cell migration 248
3.575074315071106 4.4444 axonogenesis 49
3.7736 cell part morphogenesis 59
cell projection morphogenesis
neurite morphogenesis
3.485576868057251 1.4286 1 axon guidance 80
3.4853661954402924 5.2632 5 microtubule cytoskeleton organization and biogenesis 87
3.400171995162964 1.8987 3 cellular structure morphogenesis 176
3.3986358642578125 2.4691 5 second-messenger-mediated signaling 201
3.398496985435486 10.0000 2 spindle organization and biogenesis 23
3.3942748308181763 4.3478 phosphoinositide metabolic process 52
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

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/