From ea46f42ee640928b92947bfb204c41a482d80937 Mon Sep 17 00:00:00 2001 From: root Date: Tue, 8 May 2012 18:39:56 -0500 Subject: Add all the source codes into the github. --- web/dbdoc/KI_2A_0405_R.html | 290 ++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 290 insertions(+) create mode 100755 web/dbdoc/KI_2A_0405_R.html (limited to 'web/dbdoc/KI_2A_0405_R.html') diff --git a/web/dbdoc/KI_2A_0405_R.html b/web/dbdoc/KI_2A_0405_R.html new file mode 100755 index 00000000..e6916bb8 --- /dev/null +++ b/web/dbdoc/KI_2A_0405_R.html @@ -0,0 +1,290 @@ + +RAE230A Microarray Kidney RMA April05 / +WebQTL + + + + + + + + + + + + + + + + + +
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MDC/CAS/ICL RAE230A Kidney Database RMA Original (April/05 freeze) modify this page

Accession number: GN64

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    Summary:

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+This April 2005 data set provides estimates of mRNA expression in normal kidneys of 32 strains of rats. The set includes the hypertensive SHR strain, the normotensive BN strain, and 30 HXB/BXH recombinant inbred strains. Each strain was sampled in quadruplicate (6-week-old males). Animals and tissues were generated by Michal Pravenec and colleagues at the Czech Academy of Sciences (CAS). RNA samples were processed at the Max-Delbrück-Center for Molecular Medicine (MDC), Berlin Buch by Nobert Hübner and colleagues. Transcriptome mapping was carried out by Norbert Hubner, Timothy Aitman and colleagues at the MDC and the MRC Clinical Sciences Centre, Imperial College, London (ICL). Samples were hybridized individually to a total of 128 Affymetrix RAE230A array. This particular data set includes 120 arrays processed using the RMA protocol. The expression values are original RMA output values without further normalization. This data set complements the MAS5 data set exploited by Hubner and colleagues 2005. +Download the particular transform in an Excel work book with both strain means and SEMs. +

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These data can also be viewed using the eQTL Explorer Java application +by John Mangion, Tim Aitman, and colleagues (Mueller et al. 2006). + + +

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    About the cases used to generate this set of data:

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Data were generated using the HXB/BXH recombinant inbred strains of rats generated over the past 20 years in Prague. The parental strains from which all HXB lines are derived are SHR (SHR/OlaIpcv or HSR = H) and Brown Norway (BN.Lx/Cub= B). These strains have been used extensively to study cardiovascular system physiology and genetics.

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The HXB strains were bred by Michal Pravenec at the Institute of Physiology, Czech Academy of Sciences. The BXH strains were bred by Vladimir Kren (see Pravenec et al. 1989, 2004) at a similar animal facility at the Institute of Biology and Medical Genetics, 1st Medical Faculty, Charles University. These strains are at approximately the 60th generation of continuous inbreeding (F60).

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Animals used in the transcriptome analyses of kidney and fat (Hubner and colleagues, 2005) were weaned at 4 weeks. Those born at the Charles University were transferred to the Institute of Physiology. Animals were reared on a commercial rat chow (ST-1 from VELAZ, Czech Republic). Four males were house per cage. Cages were made of polystyrene and have a floor size of 22 x 38 cm and height of 23 cm. The bedding was changed twice a week. Light cycle was 12:12 on-off. Vivarium rooms were maintained at 23 degrees C. Rats were sexually naive. All males used in the initial transcriptome studies (Hübner et al., 2005) were born between May and August 2002. They were sacrificed unfastged by rapid cervical dislocation between 9 and 10 AM, following an approved animal protocol (Ethics Committee of the Institute of Physiology, Czech Academy of Sciences, Prague; Animal Protection Law of the Czech Republic (311/1997). +

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    About the tissue used to generate these data:

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All tissues were collected at the age of 6 weeks. Kidneys and other organs were rapidly dissected and cleaned of fat, inserted into a vial, and immersed in liquid nitrogen for storage until RNA extraction. +
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+The table below lists the arrays by strain and sample identifier. Each array was hybridized with mRNA from a single young male rat. +
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StrainSampleID
HSRHSR1
HSRHSR2
HSRHSR3
HSRHSR4
BNBN1
BNBN2
BNBN3
BNBN4
BNBN5
HXB1RI 01-1
HXB1RI 01-2
HXB1RI 01-3
HXB1RI 01-4
HXB2RI 02-1
HXB2RI 02-2
HXB2RI 02-3
HXB2*RI 02-4
HXB3RI 03-1
HXB3RI 03-2
HXB3RI 03-3
HXB3RI 03-4
HXB4RI 04-1
HXB4RI 04-2
HXB4RI 04-3
HXB4RI 04-4
HXB5RI 05-1
HXB5RI 05-2
HXB5RI 05-3
HXB5*RI 05-4
HXB7RI 07-1
HXB7RI 07-2
HXB7RI 07-3
HXB7RI 07-4
HXB10RI 10-1
HXB10RI 10-2
HXB10RI 10-3
HXB10RI 10-4
HXB15RI 15-1
HXB15RI 15-2
HXB15RI 15-3
HXB15RI 15-4
HXB17RI 17-1
HXB17RI 17-2
HXB17RI 17-3
HXB17RI 17-4
HXB18RI 18-1
HXB18RI 18-2
HXB18RI 18-3
HXB18RI 18-4
HXB20RI 20-1
HXB20RI 20-2
HXB20RI 20-3
HXB20RI 20-4
HXB21RI 21-1
HXB21RI 21-2
HXB21RI 21-3
HXB21RI 21-4
HXB22RI 22-1
HXB22RI 22-2
HXB22RI 22-3
HXB22RI 22-4
HXB23RI 23-1
HXB23RI 23-2
HXB23RI 23-3
HXB23RI 23-4
HXB24RI 24-1
HXB24RI 24-2
HXB24RI 24-3
HXB24*RI 24-4
HXB25RI 25-1
HXB25RI 25-2
HXB25RI 25-3
HXB25*RI 25-4
HXB26RI 26-1
HXB26RI 26-2
HXB26RI 26-3
HXB26RI 26-4
HXB27RI 27-1
HXB27RI 27-2
HXB27RI 27-3
HXB27RI 27-4
HXB29RI 29-1
HXB29RI 29-2
HXB29RI 29-3
HXB29*RI 29-4
HXB31RI 31-1
HXB31RI 31-2
HXB31RI 31-3
HXB31RI 31-4
BXH2RI 02c-1
BXH2RI 02c-2
BXH2RI 02c-3
BXH2RI 02c-4
BXH3RI 03c-1
BXH3RI 03c-2
BXH3RI 03c-3
BXH3RI 03c-4
BXH5RI 05c-1
BXH5RI 05c-2
BXH5RI 05c-3
BXH5*RI 05c-4
BXH6RI 06c-1
BXH6RI 06c-2
BXH6RI 06c-3
BXH6*RI 06c-4
BXH8RI 08c-1
BXH8RI 08c-2
BXH8RI 08c-3
BXH8RI 08c-4
BXH9RI 09c-1
BXH9RI 09c-2
BXH9RI 09c-3
BXH9RI 09c-4
BXH10RI 10c-1
BXH10RI 10c-2
BXH10RI 10c-3
BXH11RI 11c-1
BXH11RI 11c-2
BXH11RI 11c-3
BXH11*RI 11c-4
BXH12RI 12c-1
BXH12RI 12c-2
BXH12RI 12c-3
BXH12RI 12c-4
BXH13RI 13c-1
BXH13RI 13c-2
BXH13RI 13c-3
BXH13RI 13c-4
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*: These eight arrays were excluded in the final strain summary data. See section of Quality Control for further explanation. + + + +

    About the array platform:

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+Affymetrix 230A GeneChip: Expression data were generated using the Affymetrix 230A array. The chromosomal locations of probe sets were determined by BLAT analysis of concatenated probe sequences using the Rat Genome Sequencing Consortium assembly.

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    About Quality Control Procedures:

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RNA processing: RNA was extracted using Trizol reagent (Invitrogen) and purified using an RNeasy Mini kit from Qiagen. Double-stranded cDNA was generated without pooling. The Ambion MEGAscript T7 kit from Ambion was used to generate biotinylated cRNA for kidney. Fat samples were processed at this step using the Enzo Diagnostics Bioarray High Yield RNA Transcript labeling kit. See Hubner et al. 2005 for additional detail. One-hundred and twenty eight samples passed RNA quality control steps.

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Probe level QC: All 128 CEL files were collected into a single DataDesk 6.2 file. Probe data from pairs of arrays were plotted and compared. Eight arrays were considered potential outliers (despite having passed RNA quality control) and in the interest of minimizing technical variance, a decision was made to withhold them from the calculation of strain means used in WebQTL. The remaining 120 arrays were quantile normalized and reexamined in DataDesk to ensure reasonable colinearity of all array data sets.

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Probe set level QC: Probe set level QC involves counting the number of times that a single array data set from a single sample generates outliers at the level of the probe set consensus estimates of expression. With 120 arrays, any single array should generate a comparatively small fraction of the total number of outlier calls. This final step of array QC has NOT been implemented yet in this data set.

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    About data processing:

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Probe (cell) level data from the CEL file: These CEL values produced by GCOS are 75% quantiles from a set of pixel measured in each cell. +
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Probe set data: The original CEL files were read into the R environment (Ihaka and Gentleman 1996). Data were processed by Senhua Yu using the Robust Multichip Average (RMA) method (Irrizary et al. 2003). Values were log2 transformed. Probe set values listed in WebQTL pages are typically the averages of four biological replicates within strain.

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Please see Bolstad and colleagues (2003) for a helpful comparison of RMA and other common methods of processing Affymetrix array data sets. +

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    Data source acknowledgment:

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+This work was supported with funds to TJA by the MRC Clinical Sciences Centre, the British Heart Foundation, and the Wellcome Trust Cardiovascular Functional Genomics Initiative; to NH from the German Ministry for Science and Education (National Genome Research Network, NGFN); to MP and Vladimir Kren from the Grant Agency of the Czech Republic; to MP and TJA from the Wellcome Trust Collaborative Research Initiative grant, to Theodore W Kurtz from the NIH, to TWK and MP from a Fogarty International Research Collaboration Award. Microarrays were a generous donation of Affymetrix Inc. MP is an International Research Scholar of the Howard Hughes Medical Institute. + + +
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    Information about this text file:

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This approved text file originally generated by Robert Williams, Norbert Hubner, Michal Pravenec, Timothy Aitman, April 19, 2005. Updated by RWW, April 20, 2005; April 28, 2005; May 10, 2005; June 19, 2005. +

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