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Status |
Public on Feb 12, 2015 |
Title |
NAC RNAi replicate 1 |
Sample type |
RNA |
|
|
Channel 1 |
Source name |
cytosolic ribosomes
|
Organism |
Caenorhabditis elegans |
Characteristics |
strain: SS104, sterile mutant age: day 3 adult vector: NAC RNAi
|
Treatment protocol |
RNAi was performed by feeding bacteria producing dsRNA, start of RNAi treatment was in the L2/L3 larval stage
|
Growth protocol |
Worms were grown at 25°C (non-permissive temperature) in liquid culture
|
Extracted molecule |
total RNA |
Extraction protocol |
RNA was extracted with Qiagen RNeasy Mini Kit according to manufacturer's instructions
|
Label |
cy3
|
Label protocol |
50 ng RNA were labelled according to Oaklabs standard protocol
|
|
|
Channel 2 |
Source name |
ER-attached ribosomes
|
Organism |
Caenorhabditis elegans |
Characteristics |
strain: SS104, sterile mutant age: day 3 adult vector: NAC RNAi
|
Treatment protocol |
RNAi was performed by feeding bacteria producing dsRNA, start of RNAi treatment was in the L2/L3 larval stage
|
Growth protocol |
Worms were grown at 25°C (non-permissive temperature) in liquid culture
|
Extracted molecule |
total RNA |
Extraction protocol |
RNA was extracted with Qiagen RNeasy Mini Kit according to manufacturer's instructions
|
Label |
Cy5
|
Label protocol |
50 ng RNA were labelled according to Oaklabs standard protocol
|
|
|
|
Hybridization protocol |
hybridization was performed by Oaklabs according to their standard protocol
|
Scan protocol |
scanning was performed by Oaklabs according to their standard protocol
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Description |
Biological replicate 1 of 4. NAC RNAi
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Data processing |
Create two files specifying what experimental samples are to be found in what data-file CYT refers to the measured cytosolic fraction, ER refers to the measured membrane-associated fraction (predominantly Endoplasmic Reticulum) Empty_vector (ev) is the control experiment, RNAi_vector (RNAi) is the experiments in which the genes of interest were knocked down by RNAi. Read the data into 'R' using read.maimages ('limma' package) commands: RAWev <- read.maimages(targetsev, path="./", source="agilent.median") RAWrnai <- read.maimages(targetsrnai, path="./", source="agilent.median"). Normalize this data within each array using the 'loess' normalization implemented in the 'limma' package commands: LOESSev <- normalizeWithinArrays(RAWev, method="loess") LOESSrnai <- normalizeWithinArrays(RAWrnai, method="loess"). Lastly write the data to the files 'MAev.Rfile' (normalized empty_vector experiment data) and 'MArnai.Rfile' (normalized RNAi-experiment data).
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Submission date |
Dec 05, 2014 |
Last update date |
Feb 12, 2015 |
Contact name |
Tancred Frickey |
E-mail(s) |
[email protected]
|
Organization name |
University of Konstanz
|
Department |
Biology
|
Lab |
Applied Bioinformatics
|
Street address |
Universitaetsstr. 10
|
City |
Konstanz |
State/province |
BW |
ZIP/Postal code |
78464 |
Country |
Germany |
|
|
Platform ID |
GPL19516 |
Series (1) |
GSE63928 |
C. elegans (strain SS104, sterile mutant) Control vs. NAC RNAi |
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