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 Class Average Regulation (ratio) Class Size (#genes) Class affected Microarray Measured (#genes) Accession
Results: HTML CSV LaTeX Showing element 75 to 124 of 328 in total
Would Be Affected (#genes)
% Affected Genes
Class
Average Regulation (ratio)
Class Size (#genes)
Class
8 2.5271 biological process 2.2348088707242693 321 nervous system development
2.1605 cellular component 2.6934666122709 379 nucleoplasm part
1.9663 1.6447297164372034 402 cell junction
1.9608 biological process 2.2326475211552212 414 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 cellular component 2.9601402282714844 184 chromatin
4.1420 molecular function 1.7680698462894984 221 metallopeptidase activity
3.8095 biological process 2.3925783783197403 230 enzyme linked receptor protein signaling pathway
3.6145 cellular component 2.5402226646741233 245 chromosome
3.4335 biological process 2.2164768129587173 264 organ morphogenesis
3.1873 molecular function 1.9443604201078415 295 electrochemical potential-driven transporter activity
porter activity
2.9289 biological process 2.6086528982434953 318 inflammatory response
2.8112 molecular function 1.6669044835226876 327 iron ion binding
2.7888 1.4970425537654333 311 ATPase activity, coupled
2.7778 2.043148085474968 323 transcription cofactor activity
2.5078 biological process 2.046714186668396 370 cell proliferation
molecular function 2.4881605356931686 cation channel activity
2.4922 biological process 2.8815125972032547 379 apoptosis
2.4845 381 programmed cell death
2.3460 molecular function 2.4995227009058 380 magnesium ion binding
2.2222 1.4970425537654333 385 ATPase activity
2.1390 biological process 2.1474349200725555 432 cell motility
2.0202 2.1150057166814804 460 negative regulation of metabolic process
1.8248 molecular function 2.2257004976272583 497 olfactory receptor activity
1.7677 cellular component 2.317225064550127 510 extracellular space
1.6327 biological process 1.9312101155519485 570 carboxylic acid metabolic process
1.6227 573 organic acid metabolic process
1.0458 cellular component 2.1532876193523407 896 mitochondrion
10 6.0000 molecular function 2.116744134161207 171 phosphoprotein phosphatase activity
4.7059 biological process 2.4113256633281708 216 response to freezing
molecular function ice binding
water binding
4.6784 biological process 217 homoiothermy
4.4444 226 thermoregulation
3.9823 molecular function 2.116744134161207 261 phosphoric monoester hydrolase activity
3.0928 2.506679137547811 331 transcriptional activator activity
2.9801 biological process 2.3975469536251492 338 positive regulation of transcription
2.9197 2.4850547462701797 358 response to wounding
2.8939 2.3975469536251492 347 positive regulation of nucleobase, nucleoside, nucleotide and nucleic acid metabolic process
2.8754 molecular function 2.523834652370877 363 identical protein binding
2.5000 biological process 3.175950493131365 416 establishment and/or maintenance of chromatin architecture
2.4561 422 DNA packaging
2.3936 molecular function 1.6601282623079088 437 cytoskeletal protein binding

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/