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 Gene Rank Value Type Interaction Map Filtered Network Comparison Type red network_comparison green
    Results: HTML CSV LaTeX Showing element 1 to 50 of 19268 in total
    Value Type  : Measured
    description
    Rank
    Interaction Map
    Filtered
    Network Comparison Type
    red
    network_comparison
    green
    1,4-alpha-glucan branching enzyme (ec 2.4.1.18) (glycogen branching enzyme) (brancher enzyme). [swissprot;acc:q04446] 37 High confidence 0 Divided 334.401 2.79409 934.348
    45 Subtracted 599.947
    60 1 Divided 4489.19 1.6231 2765.82
    131 Low confidence 0 645.504 1.31954 851.77
    164 High confidence 1 Subtracted 4489.19 1723.37 2765.82
    273 Low confidence 0 645.504 206.266 851.77
    4909 1 7853.62 46.92 7900.54
    4914 Divided 1.00597
    1-acyl-sn-glycerol-3-phosphate acyltransferase alpha (ec 2.3.1.51) (1- agp acyltransferase 1) (1-agpat 1) (lysophosphatidic acid acyltransferase-alpha) (lpaat-alpha) (1-acylglycerol-3-phosphate o- acyltransferase 1) (g15 protein). [swissprot;acc:q99943] 310 High confidence Subtracted 7551.8 1078.26 8630.06
    509 Divided 1.14278
    780 Low confidence Subtracted 8255.95 329.69 8585.64
    885 Divided 1.03993
    1-acyl-sn-glycerol-3-phosphate acyltransferase beta (ec 2.3.1.51) (1- agp acyltransferase 2) (1-agpat 2) (lysophosphatidic acid acyltransferase-beta) (lpaat-beta) (1-acylglycerol-3-phosphate o- acyltransferase 2). [swissprot;acc:o15120] 307 High confidence Subtracted 7556.75 1080.12 8636.87
    508 Divided 1.14293
    773 Low confidence Subtracted 8256.68 330.35 8587.03
    880 Divided 1.04001
    1-acyl-sn-glycerol-3-phosphate acyltransferase delta (ec 2.3.1.51) (1- agp acyltransferase 4) (1-agpat 4) (lysophosphatidic acid acyltransferase-delta) (lpaat-delta) (1-acylglycerol-3-phosphate o- acyltransferase 4). [swissprot;acc:q9nrz5] 210 Subtracted 8530.51 550.78 9081.29
    237 Divided 1.06457
    319 High confidence Subtracted 7477 1055.02 8532.02
    514 Divided 1.1411
    1-acyl-sn-glycerol-3-phosphate acyltransferase gamma (ec 2.3.1.51) (1- agp acyltransferase 3) (1-agpat 3) (lysophosphatidic acid acyltransferase-gamma) (lpaat-gamma) (1-acylglycerol-3-phosphate o- acyltransferase 3). [swissprot;acc:q9nrz7] 230 Low confidence Subtracted 8492.92 526.02 9018.94
    252 Divided 1.06194
    318 High confidence Subtracted 7485.08 1058.58 8543.66
    513 Divided 1.14143
    1-aminocyclopropane-1-carboxylate synthase. [refseq;acc:nm_032592] 1941 Low confidence Subtracted 8065.05 257.99 8323.04
    2035 Divided 1.03199
    1-phosphatidylinositol-4,5-bisphosphate phosphodiesterase beta 4 (ec 3.1.4.11) (phosphoinositide phospholipase c) (plc-beta-4) (phospholipase c-beta-4). [swissprot;acc:q15147] 2882 7948.01 1.02859 8175.27
    2902 Subtracted 227.26
    3126 High confidence Divided 0.00001 1 0.00001
    Subtracted 0 0 0
    10 kda heat shock protein, mitochondrial (hsp10) (10 kda chaperonin) (cpn10). [swissprot;acc:q04984] 1136 Divided 5790.65 1.08864 6303.92
    1140 Subtracted 513.27
    2020 Low confidence 8130.62 255.96 8386.58
    2182 Divided 1.03148
    10-formyltetrahydrofolate dehydrogenase (ec 1.5.1.6) (10-fthfdh). [swissprot;acc:o75891] 1693 7981.12 1.03323 8246.34
    1700 Subtracted 265.22
    2922 High confidence Divided 0.00001 1 0.00001
    Subtracted 0 0 0
    130 kda leucine-rich protein (lrp 130) (gp130) (leucine-rich ppr-motif containing protein). [swissprot;acc:p42704] 4071 Low confidence Divided 7896.47 1.02166 8067.47
    4228 Subtracted 171
    14-3-3 protein beta/alpha (protein kinase c inhibitor protein-1) (kcip-1) (protein 1054). [swissprot;acc:p31946] 490 8572.9 392.59 8965.49
    575 Divided 1.04579
    1411 High confidence 5812.02 1.07743 6262.07
    1422 Subtracted 450.05
    14-3-3 protein epsilon (mitochondrial import stimulation factor l subunit) (protein kinase c inhibitor protein-1) (kcip-1) (14-3-3e). [swissprot;acc:p42655] 2941 Low confidence 8144.39 225.73 8370.12
    3088 High confidence Divided 0.00001 1 0.00001
    Subtracted 0 0 0
    3095 Low confidence Divided 8144.39 1.02772 8370.12
    14-3-3 protein zeta/delta (protein kinase c inhibitor protein-1) (kcip-1) (factor activating exoenzyme s) (fas). [swissprot;acc:p29312] 498 Subtracted 8566.17 390.81 8956.98
    591 Divided 1.04562

    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/