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 Gene Network Comparison Type Value Type Hugo Interaction Map red Filtered green network_comparison
    Results: HTML CSV LaTeX Showing element 2651 to 2700 of 66312 in total
    Filtered  : 1
    description
    Rank
    Network Comparison Type
    Value Type
    Hugo
    Interaction Map
    red
    green
    network_comparison
    60s ribosomal protein l39. [swissprot;acc:p02404] 2729 Subtracted Measured no value Low confidence 7933.19 8166.62 233.43
    2744 Divided Squared 45196.9 43583 1.03703
    2780 Rooted 71.5491 73.8932 1.03276
    2859 Subtracted 2.3441
    3195 Ranked 202.665 199.481 3.184
    3220 Divided 1.01596
    60s ribosomal protein l4 (l1). [swissprot;acc:p36578] 277 Subtracted RPL4 High confidence 239.277 262.434 23.157
    359 Divided 1.09678
    513 Rooted 51.5881 47.3127 1.09036
    754 Subtracted 4.2754
    2036 Divided Squared Low confidence 41673.2 40067.7 1.04007
    2167 High confidence 14024.2 15210.1 1.08456
    2360 Measured 3843.06 3682.72 1.04354
    2459 Subtracted 160.34
    2469 Squared 14024.2 15210.1 1185.9
    2662 Low confidence 41673.2 40067.7 1605.5
    4497 Ranked 206.721 208.457 1.736
    4517 Divided 1.0084
    4621 Measured 7464.51 7586.23 1.01631
    4670 Subtracted 121.72
    4805 Divided Rooted 69.2791 70.3218 1.01505
    4813 Subtracted 1.0427
    60s ribosomal protein l5. [swissprot;acc:p46777] 244 Ranked RPL5 High confidence 241.899 265.924 24.025
    326 Divided 1.09932
    422 Rooted 50.4641 45.9293 1.09873
    687 Subtracted 4.5348
    1984 Divided Squared 12586.8 13748.2 1.09227
    1985 Low confidence 41539 39926.3 1.04039
    2169 Measured High confidence 3639.65 3459.64 1.05203
    2415 Subtracted 180.01
    2489 Squared 12586.8 13748.2 1161.4
    2625 Low confidence 41539 39926.3 1612.7
    4110 Ranked 207.337 209.485 2.148
    4179 Divided 1.01036
    4623 Measured 7431.51 7552.25 1.01625
    4673 Subtracted 120.74
    4848 Divided Rooted 69.0542 70.0063 1.01379
    4858 Subtracted 0.9521
    60s ribosomal protein l6 (tax-responsive enhancer element binding protein 107) (taxreb107) (neoplasm-related protein c140). [swissprot;acc:q02878] 165 Ranked RPL6 209.954 221.607 11.653
    179 Divided 1.0555
    2651 Squared 37407.8 36053.6 1.03756
    3670 Subtracted 1354.2
    4604 Divided Rooted 66.9425 65.5857 1.02069
    4697 Subtracted 1.3568
    4995 Divided Measured 6922.79 6911.72 1.0016
    4996 Subtracted 11.07
    60s ribosomal protein l7. [swissprot;acc:p18124] 233 Ranked no value High confidence 235.727 259.984 24.257
    297 Divided 1.1029
    500 Rooted 52.6483 48.2135 1.09198
    718 Subtracted 4.4348

    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/