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 Class Would Be Affected (#genes) Class Size (#genes) affected Class Microarray Measured (#genes) Accession
Results: HTML CSV LaTeX Showing element 101 to 150 of 8866 in total
Average Regulation (ratio)
% Affected Genes
Class
Would Be Affected (#genes)
Class Size (#genes)
Class
3.721451759338379 4.4444 chromatin remodeling 2 53 biological process
3.7029240131378174 50.0000 myoblast migration 1 2
11.1111 thymus development 10
2.7778 striated muscle development 38
1.9608 hemopoietic or lymphoid organ development 66
3.6717275778452554 2.0690 acyltransferase activity 4 180 molecular function
2.0408 transferase activity, transferring groups other than amino-acyl groups 182
1.8519 transferase activity, transferring acyl groups 208
3.660576820373535 11.1111 extracellular matrix binding 1 10
latrotoxin receptor activity
3.595149040222168 7.6923 negative regulation of cell growth 3 41 biological process
5.8824 negative regulation of growth 57
3.594250440597534 0.9259 cell migration 2 248
3.575074315071106 4.4444 axonogenesis 49
3.7736 cell part morphogenesis 59
cell projection morphogenesis
neurite morphogenesis
3.551537334918976 3.7383 translation regulator activity 5 129 molecular function
3.5441412925720215 100.0000 interleukin-18 receptor complex 1 1 cellular component
50.0000 interleukin-1 receptor complex 2 3
33.3333 Toll binding 1 molecular function
3.5221519470214844 0.8130 melanocortin receptor activity 2 196
3.485576868057251 33.3333 axon guidance receptor activity 6
6.6667 ephrin receptor activity 1 18
1.4286 axon guidance 80 biological process
3.4853661954402924 5.2632 microtubule cytoskeleton organization and biogenesis 5 87
3.451416552066803 12.5000 nucleoside transporter activity 2 19 molecular function
8.6957 nucleobase, nucleoside, nucleotide and nucleic acid transporter activity 26
3.4141530990600586 2.3810 voltage-gated calcium channel activity 1 52
3.400171995162964 1.8987 cellular structure morphogenesis 3 176 biological process
3.3986358642578125 2.4691 second-messenger-mediated signaling 5 201
3.398496985435486 10.0000 spindle organization and biogenesis 2 23
3.397643566131592 33.3333 junctional membrane complex 1 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 phosphoinositide metabolic process 2 52 biological process
3.1746 glycerophospholipid metabolic process 72
1.5038 phospholipid metabolic process 155
3.367248058319092 100.0000 negative regulation of antiviral response 1 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 positive regulation of viral genome replication 2 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 virus-host interaction 1 7

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/