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.


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 [...,...].
Filtered Gene description green Rank red Value Type Interaction Map network_comparison Network Comparison Type
Results: HTML CSV LaTeX Showing element 501 to 550 of 77072 in total
Filtered  : 0
description
green
Rank
red
Value Type
Interaction Map
network_comparison
Network Comparison Type
60s ribosomal protein l18a. [swissprot;acc:q02543] 10437.1 90 12738.7 Ranked High confidence 2301.6 Subtracted
102 1.22052 Divided
26833.6 49 21978 Squared Low confidence 4855.6 Subtracted
261 1.22093 Divided
60s ribosomal protein l21. [swissprot;acc:p46778] 27.0433 501 25.7322 Rooted 1.3111 Subtracted
518 1.05095 Divided
29.2291 40 20.5734 High confidence 8.6557 Subtracted
65 1.42072 Divided
359.589 86 146.619 Squared 2.45254
228 212.97 Subtracted
992.083 72 572 Measured 1.73441 Divided
75 420.083 Subtracted
2075.51 474 2157.52 Low confidence 82.01
587 1.03951 Divided
6758.83 41 9994.33 Ranked High confidence 1.47871
60 3235.5 Subtracted
10078.9 115 12406 Squared Low confidence 2327.1
252 1.23089 Divided
10779.4 328 11605.1 Ranked 825.7 Subtracted
428 1.0766 Divided
60s ribosomal protein l22 (epstein-barr virus small rna associated protein) (eber associated protein) (eap) (heparin binding protein hbp15). [swissprot;acc:p35268] 16.0484 131 19.3128 Rooted High confidence 1.20341
161 3.2644 Subtracted
26.2873 642 27.023 Low confidence 0.7357
648 1.02799 Divided
141.849 82 374.181 Squared High confidence 2.63788
223 232.332 Subtracted
476.619 97 728.65 Measured 1.52879 Divided
135 252.031 Subtracted
1895.34 426 1788.69 Low confidence 106.65
503 1.05962 Divided
7316.01 198 6206.25 Squared 1109.76 Subtracted
294 1.17881 Divided
11452 564 10962.4 Ranked 1.04466
566 489.6 Subtracted
12508.3 387 12115.7 High confidence 392.6
411 1.0324 Divided
60s ribosomal protein l23 (l17). [swissprot;acc:p23131] 29.46 748 29.11 Rooted Low confidence 0.35 Subtracted
757 1.01202 Divided
30.112 269 28.0195 High confidence 2.0925 Subtracted
298 1.07468 Divided
1956.36 162 1753.85 Measured 202.51 Subtracted
284 1.11547 Divided
2362.61 731 2339.98 Low confidence 22.63 Subtracted
774 1.00967 Divided
5226.4 122 4214.44 Squared High confidence 1011.96 Subtracted
274 1.24012 Divided
9622.45 311 10253.5 Ranked 1.06558
334 631.05 Subtracted
10251.3 677 10463.7 Low confidence 1.02072 Divided
693 212.4 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/