|
DRSC
>> Online Tools Overview
The DRSC On-Line Tool Box
|
Reagent Design and
Analysis
- Snapdragon
- Design dsRNAs for RNAi (minimal predicted
off-targets; view resulting amplicons and primers;
user-configurable parameters).
- Find OTEs
- Search for regions in an input sequence that are
predicted to have significant off-target effects
(OTEs) in D. melanogaster.
|
|
Screen Data View &
Analysis
- Heat
Map - Analyze and view user-provided
plate-based RNAi screen data.
- RNAi
Cut - Use protein-protein interaction
datasets to establish appropriate cut-offs for
high-confidence hits in screen datasets
(collaboration
with B. Berger group at MIT).
- ImCellPhen - Image
analysis and viewing software with a focus on
analysis of cell morphology (collaboration
with P. Hong group at Brandeis).
- Expression
Levels - Search our analysis of modENCODE
RNA-seq datasets to find evidence for expression
of a gene(s) in Kc167, BG3, Clone8, S2 or S2R+
cells.
|
|
|
|
Search & View Public
Data
- Gene
Lookup - Search by gene to find reagents
(e.g. dsRNAs, TRiP fly stocks), hits in published
screens, ortholog information, gene information,
and more.
- Query Hits
- Search by gene(s) to find hits in DRSC screens.
|
|
Additional Tools
- MinoTar -
Find predicted miRNA binding sites in open reading
frame (ORF) regions (collaboration with B. Berger group at MIT).
- Fosmid Rescue - Identify genomic regions
in non-D. melanogaster species
appropriate for RNAi rescue tests
(e.g. similar enough at the amino acid level
that they might rescue but different enough
in nucleotide sequence to evade
the D. mel RNAi reagent).
|
|
About Screen Hit Information in the DRSC Database
A challenge in making decisions about data storage and
display for DRSC screen data is that the data from
different screens can be very different.
For example, a luciferase-based assay (plate-reader
screen) would typically result in a numerical read-out
(raw data=numbers). Various statistical analysis tools
can then be applied to the numbers (processed
data=numbers). By contrast, a microscopy-based assay would
result in images (raw data=images) that can be processed
by eye, or using custom or commercial image analysis
software tools (processed data=images, numbers or
text). Thus, it is difficult to find one "right"
way to display raw or processed data.
One thing that is consistent, however, is that
screeners use some set of criteria to define a list of
"hits" from their screen, i.e. the positive
results from the screen.
Screeners will have different ideas about both the
criteria to be applied and where the cut-off for hits
should be placed. This may reflect differences in the
specific biological process being addressed (for example,
for some questions you might expect 'subtle' hits
could be relevant whereas for others, only the robust
positives might merit follow-up). Alternatively, the
placement of the cut-off or criteria for a hit may reflect
the application of one or more different methods for
analysis.
For all these reasons, standardizing capture and
display of screen data, including determination of an
appropriate list of screen hits, can be a big
challenge.
Our approach has been to let screeners determine the
most appropriate way to assign "hits" from the
screen and report the data, within the limits a few
guidelines and parameters we provide.
A disadvantage is that you will find that some data is
organized one way whereas another set of data might be
organized a slightly different way, or report a different
set of information about the hits.
The advantages of this approach include that what are
listed as hits here at the DRSC database are indeed the
things that the real experts on a particular screen-the
screeners themselves-have defined as hits.
Getting the most from a DRSC Database Search
Below is an example query for hits (Part One) and an
explanation of how you can change what information you view
when looking at a screen hits list (Part Two).
Part One: Query for hits using a gene symbol
At the top of this page, choose "Query Hits"
Then, enter the example gene symbols: foxo, wg,
hh. Click the button to "find hit
information."
You should see a table of results and a key.
Most things are marked not screened (NS) or no (not a
hit, N). But some are marked S for strong hit, M for
medium hit or W for weak hit. What's here will depend on
which way the screener reported the data (Y/N or
S/M/W).
Part Two: view more detailed information about hits
In some cases, in addition to indicating a hit, the
screener also indicates the "direction" of the
hit (increased or decreased the assay readout signal) or
other information like that.
Here is how to reach that information.
From the table you got to above, click on the screen
"funct genom analy Wnt Wingl ..." (from the
column headers).
You should see the text "Functional genomic
analysis of the Wnt-Wingless Signaling Pathway - List of
Reported Hits by Ram Dasgupta" at the top.
Now, scroll down to "select columns to
display" and click on "phenotype" (which is
how R. Dasgupta named the column that indicates up or down
signal---other screeners might use a different
term).
Next, scroll further down and click to display using
the new selections (might take a while for the new page to
load).
You should now see the column "phenotype"
that in this case indicates the direction of hits
(i.e. increase or decrease in the assay read-out
signal).
|