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 Size (#genes) Class Class affected Microarray Measured (#genes) Accession
Results: HTML CSV LaTeX Showing element 501 to 550 of 8866 in total
Average Regulation (ratio)
% Affected Genes
Would Be Affected (#genes)
Class Size (#genes)
Class
Class
2.259546995162964 1.3889 1 79 tRNA aminoacylation for protein translation biological process
1.3514 82 aminoacyl-tRNA ligase activity molecular function
ligase activity, forming aminoacyl-tRNA and related compounds
ligase activity, forming carbon-oxygen bonds
2.259431820927244 2.3913 401 16757 molecular_function
2.259032130241394 2.3077 3 146 leukocyte activation biological process
2.0408 4 174 cell activation
2.2586302757263184 4.8780 5 93 calcium channel activity molecular function
2.2576280551010304 2.3831 352 14761 cell part cellular component
2.255178689956665 3.8462 2 58 negative regulation of protein kinase activity biological process
3.7736 59 negative regulation of transferase activity
2.6667 89 negative regulation of enzyme activity
2.2540424267450967 1.9608 7 358 negative regulation of nucleobase, nucleoside, nucleotide and nucleic acid metabolic process
2.252760338363143 2.4522 294 11986 cellular process
2.252472698688507 1.7544 2 119 transcription corepressor activity molecular function
2.248631090488074 2.4047 73 3018 regulation of metabolic process biological process
2.246480769722174 2.4413 377 15431 biological_process
2.243723976612091 2.0202 15 762 macromolecule biosynthetic process
2.241470267334763 2.4400 319 13082 binding molecular function
2.2348088707242693 2.5271 8 321 nervous system development biological process
2.2326475211552212 1.9608 414 negative regulation of cellular metabolic process
2.231512101073014 3.0400 22 739 membrane fraction cellular component
2.2310752868652344 11.1111 3 25 actomyosin structure organization and biogenesis biological process
1.0582 2 224 actin cytoskeleton organization and biogenesis
0.9950 237 actin filament-based process
2.2257004976272583 1.8248 9 497 olfactory receptor activity molecular function
2.2204760638150303 1.6923 14 826 extracellular region part cellular component
2.220401409599516 2.2099 53 2403 zinc ion binding molecular function
2.216642654982189 2.4279 192 7902 intracellular organelle cellular component
2.4275 7904 organelle
2.2164768129587173 3.4335 9 264 organ morphogenesis biological process
2.215940025315356 2.4157 170 7030 intracellular membrane-bound organelle cellular component
membrane-bound organelle
2.210925724557651 2.3834 239 10046 intracellular part
2.2093183655257618 2.3335 137 5858 catalytic activity molecular function
2.208425521850586 4.3478 1 27 glucose transport biological process
4.1667 28 hexose transport
monosaccharide transport
2.0408 50 protein amino acid autophosphorylation
1.9608 53 protein autoprocessing
1.8868 62 carbohydrate transport
2.2058627247810363 2.0161 23 1164 negative regulation of cellular process
1.8957 1238 negative regulation of biological process
2.201751559972763 1.8244 1284 G-protein coupled receptor activity molecular function
2.201178240776062 3.3727 24 723 hydrolase activity, acting on ester bonds
2.195966625213623 1.9569 14 696 cytoskeletal part cellular component
2.1933199167251587 1.6000 2 142 tRNA metabolic process biological process
2.1927802711725235 3.4188 20 579 sequence-specific DNA binding molecular function
2.1918027877807615 2.0661 12 569 metal ion transport biological process
2.189393002362478 2.1594 110 5089 integral to membrane cellular component

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/