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.

MK5 Proteome Analysis

Table 3: Type II network, divided ranks. This table presents the output of the simulation of a type-II network in which we relied on the high confidence interactions and micro-array results. The output of the micro-array was then ranked and these ranks used as input into the network simulation. After performing two such simulations (one for the MK5 off and one for the MK5 on microarray output), we divided the ranks and sorted the results accordingly. The output of this technique is a collection of proteins that cluster naturally together.


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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 [...,...].
Filtered Gene description green red Rank Value Type network_comparison Interaction Map Network Comparison Type
Results: HTML CSV LaTeX Showing element 451 to 500 of 77072 in total
Filtered  : 0
description
green
red
Rank
Value Type
network_comparison
Interaction Map
Network Comparison Type
60s ribosomal protein l14 (cag-isl 7). [swissprot;acc:p50914] 10927.4 12003.2 239 Ranked 1075.8 Low confidence Subtracted
345 1.09845 Divided
12631.5 12318.7 423 312.8 High confidence Subtracted
429 1.02539 Divided
42399.1 46009.8 72 Squared 3610.7 Low confidence Subtracted
560 1.08516 Divided
60s ribosomal protein l15. [swissprot;acc:p39030] 17.0546 19.482 186 Rooted 1.14233 High confidence
233 2.4274 Subtracted
18.2577 19.6961 413 1.07878 Low confidence Divided
476 1.4384 Subtracted
753.793 846.216 272 Measured 1.12261 High confidence Divided
284 92.423 Subtracted
1035.81 1073.94 599 1.03681 Low confidence Divided
642 38.13 Subtracted
1286.61 1362.84 300 Squared 76.23 High confidence
410 1.05925 Divided
4629.2 4507.15 577 122.05 Low confidence Subtracted
721 1.02708 Divided
12972.6 12083.8 296 Ranked 888.8 Subtracted
447 1.07355 Divided
13203.1 11745.2 167 1457.9 High confidence Subtracted
188 1.12413 Divided
60s ribosomal protein l17 (l23). [swissprot;acc:p18621] 28.761 26.0693 210 Rooted 2.6917 Subtracted
262 1.10325 Divided
31.1643 29.4019 399 1.7624 Low confidence Subtracted
482 1.05994 Divided
1906.28 1663.73 138 Measured 242.55 High confidence Subtracted
232 1.14579 Divided
2987.56 2742.51 228 245.05 Low confidence Subtracted
422 1.08935 Divided
5159.2 4121.56 118 Squared 1037.64 High confidence Subtracted
269 1.25176 Divided
10251.6 11096.8 277 Ranked 1.08245
281 845.2 Subtracted
10757.5 11129 605 371.5 Low confidence
607 1.03453 Divided
21937.1 19108.6 97 Squared 2828.5 Subtracted
334 1.14802 Divided
60s ribosomal protein l18a. [swissprot;acc:q02543] 32.2238 30.8547 327 Rooted 1.3691 High confidence Subtracted
363 1.04437 Divided
36.9967 36.6174 737 0.3793 Low confidence Subtracted
769 1.01036 Divided
2604.71 2688.7 313 Measured 83.99 High confidence Subtracted
419 1.03225 Divided
3920.97 3708.61 264 212.36 Low confidence Subtracted
516 1.05726 Divided
9385.52 9310.69 302 Squared 74.83 High confidence Subtracted
475 1.00804 Divided
10063.9 10372.1 617 Ranked 1.03062 Low confidence
629 308.2 Subtracted

Legend:
- Rank is the rank after comparing the two networks
- Gene is the ensembl human gene identifier measured by 1 or more probes on the microarray
- Value Type describes how the microarray measurement was processed. Ranked indicates that we sorted all measurements and use the rank as red and green value. Measured is the normal measurement. Squared and Rooted are the square and square root respecitcely. This might be valueable to compensate for non linear light distributions.
- Network Comparison Type describes whether we divided the red and green types or whether we sutractcted them
- Interaction Map specifies whether we used only the hig hconfidence protein-protein interactions or also included the low confidence interactions.
- Filtered specifies whether we only included the high confidence microarry measurements or not.

- http://analysis.yellowcouch.org/