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 [...,...].
Would Be Affected (#genes) % Affected Genes Average Regulation (ratio) Class Size (#genes) Class Class affected Microarray Measured (#genes) Accession
Results: HTML CSV LaTeX Showing element 51 to 100 of 328 in total
Would Be Affected (#genes)
% Affected Genes
Average Regulation (ratio)
Class Size (#genes)
Class
Class
7 3.9735 2.267966568470001 164 biological process transmembrane receptor protein tyrosine kinase signaling pathway
3.6810 1.6151355107625325 184 cellular component Golgi apparatus part
3.5971 2.599970555305481 182 molecular function amine receptor activity
3.4682 3.243556241194407 191 alkali metal ion binding
3.1746 1.8491697907447815 208 cellular component synapse
3.0928 2.506638288497925 238 microtubule
3.0612 1.9925966064135234 216 cytoplasmic membrane-bound vesicle
membrane-bound vesicle
3.0303 1.3425244291623433 222 biological process cell division
2.2556 2.6377359429995217 315 molecular function voltage-gated ion channel activity
2.0833 1.9949067831039429 335 biological process protein complex assembly
2.0492 2.331825590133667 333 molecular function carbohydrate binding
2.0202 1.6523104111353557 337 biological process response to DNA damage stimulus
1.9608 2.2540424267450967 358 negative regulation of nucleobase, nucleoside, nucleotide and nucleic acid metabolic process
1.8293 1.5113894144694011 388 amino acid and derivative metabolic process
1.7595 1.5684048732121785 410 cellular component cytosol
1.5748 2.1708733439445496 421 organelle membrane
1.5228 2.2601398825645447 464 biological process monovalent inorganic cation transport
1.4634 1.683560033639272 501 regulation of catalytic activity
8 4.2424 2.037709048816136 196 molecular function anion transporter activity
3.9773 2.6829177481787547 192 biological process regulation of growth
3.7234 1.8230999537876673 208 RNA splicing
3.4146 1.6467143297195435 229 cell cycle phase
3.3333 1.8456570080348425 249 molecular function RNA polymerase II transcription factor activity
2.5271 2.2348088707242693 321 biological process nervous system development
2.1605 2.6934666122709 379 cellular component nucleoplasm part
1.9663 1.6447297164372034 402 cell junction
1.9608 2.2326475211552212 414 biological process negative regulation of cellular metabolic process
1.8421 2.158773183822632 428 response to endogenous stimulus
1.7949 1.5929162161690849 463 amine metabolic process
1.7157 484 nitrogen compound metabolic process
1.6092 1.6290612050465174 527 regulation of a molecular function
1.5748 1.4910563230514526 514 electron transport
9 6.3492 2.1655175536870956 142 protein amino acid dephosphorylation
5.7143 158 dephosphorylation
4.8000 2.9601402282714844 184 cellular component chromatin
4.1420 1.7680698462894984 221 molecular function metallopeptidase activity
3.8095 2.3925783783197403 230 biological process enzyme linked receptor protein signaling pathway
3.6145 2.5402226646741233 245 cellular component chromosome
3.4335 2.2164768129587173 264 biological process organ morphogenesis
3.1873 1.9443604201078415 295 molecular function electrochemical potential-driven transporter activity
porter activity
2.9289 2.6086528982434953 318 biological process inflammatory response
2.8112 1.6669044835226876 327 molecular function iron ion binding
2.7888 1.4970425537654333 311 ATPase activity, coupled
2.7778 2.043148085474968 323 transcription cofactor activity
2.5078 2.4881605356931686 370 cation channel activity
2.046714186668396 biological process cell proliferation
2.4922 2.8815125972032547 379 apoptosis
2.4845 381 programmed cell death

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/