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.

Proteome Analysis

Below the proteome analysis is presented. The analysis methods are presented in the paper Propagating Differential Gene Expression in Protein Interaction Networks. If you are interested in the most reliable results choose the

  • value_type as 'ranked' since this provides a very robust analysis method.
  • intercation map as 'high confidence'
  • network_comparison type as 'Divided' since this leads to a natural grouping of similar proteins
  • filtered as 'true' since this will only use the microarray measurements that have a sufficiently large confidence level.

  • 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 [...,...].
    description Rank Network Comparison Type Gene Value Type Hugo Interaction Map red Filtered green network_comparison
    Results: HTML CSV LaTeX Showing element 2512 to 2561 of 66312 in total
    Filtered  : 1
    description
    Rank
    Network Comparison Type
    Value Type
    Hugo
    Interaction Map
    red
    green
    network_comparison
    60s ribosomal protein l32. [swissprot;acc:p02433] 2338 Subtracted Measured SNORA7A High confidence 3618.02 3394.29 223.73
    2523 Squared 12314 13403.2 1089.2
    2575 Low confidence 41067.2 39442.3 1624.9
    2900 Ranked 207.568 210.937 3.369
    3156 Divided 1.01623
    4750 Measured 7365.11 7460.59 1.01296
    4779 Subtracted 95.48
    4911 Divided Rooted 68.7786 69.4465 1.00971
    4921 Subtracted 0.6679
    60s ribosomal protein l34, mitochondrial precursor (l34mt). [swissprot;acc:q9bq48] 1174 Divided MRPL34 High confidence 60.9172 63.8009 1.04734
    1192 Subtracted 2.8837
    1296 Ranked 220.681 215.78 4.901
    1300 Divided Measured 5589.33 6047.9 1.08204
    1333 Ranked 220.681 215.78 1.02271
    1366 Subtracted Measured 5589.33 6047.9 458.57
    1993 Squared 24896.2 26952.9 2056.7
    2238 Divided 1.08261
    2366 Measured Low confidence 7787.79 8027.95 1.03084
    2473 Subtracted 240.16
    3117 Divided Squared 44268.2 42776.8 1.03486
    3161 Subtracted 1491.4
    3175 Divided Rooted 70.7822 73.0131 1.03152
    3300 Subtracted 2.2309
    3823 Ranked 204.301 201.678 2.623
    3852 Divided 1.01301
    60s ribosomal protein l34. [swissprot;acc:p49207] 224 Subtracted RPL34 High confidence 242.153 266.673 24.52
    308 Divided 1.10126
    389 Rooted 50.3345 45.6718 1.10209
    660 Subtracted 4.6627
    2005 Divided Squared 12429.9 13562.6 1.09113
    2077 Measured 3614.91 3423.89 1.05579
    2394 Subtracted 191.02
    2506 Squared 12429.9 13562.6 1132.7
    3929 Divided Measured Low confidence 7780.25 7959.81 1.02308
    3940 Subtracted Squared 44208.8 42975.3 1233.5
    3956 Divided 1.0287
    4134 Subtracted Measured 7780.25 7959.81 179.56
    4606 Divided Rooted 70.7448 72.1958 1.02051
    4639 Subtracted 1.451
    4901 Ranked 204.23 204.633 0.403
    4903 Divided 1.00197
    60s ribosomal protein l35. [swissprot;acc:p42766] 218 Subtracted RPL35 High confidence 242.333 266.999 24.666
    303 Divided 1.10179
    375 Rooted 50.2545 45.5637 1.10295
    640 Subtracted 4.6908
    1992 Divided Squared 12384 13518 1.09157
    2065 Measured 3602.25 3410.23 1.05631
    2389 Subtracted 192.02
    2499 Squared 12384 13518 1134
    2527 Divided Low confidence 42005.9 40454.5 1.03835

    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
    - Hugo is the HGNC identifier if it exists
    - 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/