Steps to Follow

Data Upload Page

  1. Enter gene and/or protein identifiers to the text area or upload a file with gene/protein identifiers.

    Accepted gene/protein identifiers: FBgn, CG, symbol, UniProt, Entrez Gene Id.
    Format of data file(s):

    Files can include:

    • A gene list: The user can upload a file with a list of genes.
    • A gene list with corresponding values: The user can upload gene-value pairs. The values for the genes can be gene expression values, z-scores, etc. The difference in the values will be represented using a color scale in the network visualization.
    • An interaction list: The user can upload gene-gene pairs to indicate the interaction between them. If the same interaction is present in the database, the user will be able to see the edges between the gene-gene pairs she/he uploads. If the interaction is not present in the database, the user will see the genes in the visualization, but the genes will not be connected with an edge.
    Format Example File 1 Example File 2
    A gene list Single text file with one data column Excel file, single sheet with one data column
    A gene list with corresponding values Tab-separated values, single file with two data columns Excel file, single sheet with two data columns
    An interaction list Tab-separated values, single file with two data columns Excel file, single sheet with two data columns

  2. Specify the input type ("Gene/Protein List" or "Interaction List").
  3. Specify the network to use ("PPI" or "STRING").

Result Page

The result page includes two main parts; network visualization and protein-protein interaction (PPI) information.

1- Network visualization: When the user uploads a file or enters a gene list to the text area, she/he will see the visualization of the uploaded data. If the user input corresponds to any interaction in the database, the edges between the nodes will be visible.

The user can

2- Protein-Protein Interaction Information: The user will see detailed information about protein-protein interactions (PPI) by clicking on the edges. When clicked on an edge, the PPI information will appear on the right side of the page.
This part consists of four different parts;

Edge:The information listed under "Edge" part are listed below.

Screen Phenotypes: This part includes the phenotype matrix which provides information about the genetic screens used to make the prediction.

List of RNAi Screens Used to Construct the Phenotypic Matrix.

Phenotypes Number of genes with phenotype References Source databases
Wingless (1) 471 (DasGupta et al., 2005) DRSC
Protein Secretion Golgi 660 (Bard et al., 2006) DRSC
Cell Growth (S2R+ cells) 961 (Boutros et al., 2004) DRSC
Cell Growth (Kc cells) 1178 (Boutros et al., 2004) DRSC
MAPK regulators (EGF baseline, S2R+ cell) 2204 (Friedman et al., 2011) DRSC
MAPK regulators (EGF 10min, S2R+ cell) 1495 (Friedman et al., 2011) DRSC
MAPK regulators (EGF 10min, Kc167 cell) 2259 (Friedman et al., 2011) DRSC
MAPK regulators (EGF 30min, Kc167 cell) 2085 (Friedman et al., 2011) DRSC
MAPK regulators (Insulin baseline, S2R+ cell) 3140 (Friedman and Perrimon, 2006) DRSC
MAPK regulators (Insulin 10min, S2R+ cell) 2144 (Friedman and Perrimon, 2006) DRSC
Apoptotic regulators 1549 (Yi et al., 2007) DRSC
CRYZ degradation 1557 (Sathyanarayanan et al., 2008) DRSC
E2FZ 1604 (Lu et al., 2007) DRSC
Hedgehog 1610 (Nybakken et al., 2005) DRSC
JAK STAT (1) 1760 (Baeg et al., 2005) DRSC
Calcium storage 2100 (Zhang et al., 2006) DRSC
Calcium entry 3012 (Vig et al., 2006) DRSC
Somatic homolog pairing (dod) 274 (Yi et al., 2007) DRSC
Somatic homolog pairing (359) 234 (Yi et al., 2007) DRSC
Wnt proteins secretion 17 (Buechling et al., 2011) GenomeRNAi
Hedgehog signaling (2) 19 (Lum et al., 2003) GenomeRNAi
Toll dependent immune response 28 Kuttenkeuler et al., 2010) GenomeRNAi
Innate immunity (1) 29 (Kleino et al., 2005) GenomeRNAi
B.melitensis infection 61 (Qin et al., 2008) GenomeRNAi
Wg pathway regulation (3) 63 (Port et al., 2011) GenomeRNAi
JAK STAT pathway (2) 67 (Muller et al., 2005) GenomeRNAi
Innate immunity (2) 115 (Foley and O'Farrell, 2004) GenomeRNAi
Akt TOR regulation 134 (Kockel et al., 2010) GenomeRNAi
Notch induced transcription 149 (Mourikis et al., 2010) GenomeRNAi
C.trachomatis infection 219 (Elwell et al., 2008) GenomeRNAi
Methyl methanesulphonate 391 (Ravi et al., 2009) GenomeRNAi
Adiposity regulation 512 (Pospisilik et al., 2010) GenomeRNAi
Huntingtin aggregation 514 (Doumanis et al., 2009) GenomeRNAi
Heat Nociception 720 (Neely et al., 2010) GenomeRNAi
Notch pathway regulation 899 (Saj et al., 2010) GenomeRNAi
PGN induced dJNK 993 (Bond and Foley, 2009) GenomeRNAi
Serratia marcescens infection 1176 (Cronin et al., 2009) GenomeRNAi
Lipid Storage 5071 (Beller et al., 2008) GenomeRNAi
Cell Size 272 (Neumuller et al., 2011) IMBA - I
Cell Death 556 (Neumuller et al., 2011) IMBA - I
Bristles loss/gain 667 (Mummery-Widmer et al., 2009) IMBA - II
Bristles proliferation 1499 (Mummery-Widmer et al., 2009) IMBA - II
Unpublished phenotype 1 837 Neumuller et al., submitted Unpublished
Unpublished phenotype 2 1201 Neumuller et al., submitted Unpublished
Unpublished phenotype 3 1236 Neumuller et al., submitted Unpublished
Unpublished phenotype 4 1344 Neumuller et al., submitted Unpublished
Unpublished phenotype 5 1392 Neumuller et al., submitted Unpublished
Unpublished phenotype 6 1752 Neumuller et al., submitted Unpublished
Unpublished phenotype 7 2014 Neumuller et al., submitted Unpublished

Color-coding of the Phenotype Matrix

Color_1 Color_2 Correlation
Scenario 1: Red (Negative) Red (Negative) Positive Correlation
Scenario 2: Red (Negative) Blue (Positive) Negative Correlation
Scenario 3: Blue (Positive) Blue (Positive) Positive Correlation
Scenario 4: Blue (Positive) Red (Negative) Negative Correlation

Protein-Protein Interaction (PPI) Information: The information listed under this part are listed below.

Expression Correlation (PCC): The gene expression correlation data for Drosophila developmental time-course are derived from modENCODE database, and listed here.