From d0911a04958a04042da02a334ccc528dae79cc17 Mon Sep 17 00:00:00 2001 From: zsloan Date: Fri, 27 Mar 2015 20:28:51 +0000 Subject: Removed everything from 'web' directory except genofiles and renamed the directory to 'genotype_files' --- web/dbdoc/Striatum_M430_V2_PDNN_Nov05.html | 231 ----------------------------- 1 file changed, 231 deletions(-) delete mode 100755 web/dbdoc/Striatum_M430_V2_PDNN_Nov05.html (limited to 'web/dbdoc/Striatum_M430_V2_PDNN_Nov05.html') diff --git a/web/dbdoc/Striatum_M430_V2_PDNN_Nov05.html b/web/dbdoc/Striatum_M430_V2_PDNN_Nov05.html deleted file mode 100755 index 3a7ccc41..00000000 --- a/web/dbdoc/Striatum_M430_V2_PDNN_Nov05.html +++ /dev/null @@ -1,231 +0,0 @@ - -M430 Microarray brain PDNN April05 / WebQTL - - - - - - - - - - - - -
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- - -HiQ Striatum M430v2 (Nov05) PDNN modify this page

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    Summary:

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-This November 2005 data freeze provides estimates of mRNA expression in the striatum (caudate nucleus of the forebrain) of NN lines of mice including C57BL/6J, DBA/2J, and NN BXD recombinant inbred strains. Data were generated using Affymetrix Mouse Genome 430 2.0 short oligomer microarrays at Beth Israel Deaconess Medical Center (BIDMC, Boston MA) by Glenn D. Rosen and Robert W. Williams with support of the High Q Foundation. Approximately NNN brain samples (males and females) from NN strains were used in this experiment. Samples were hybridized to a total of NN arrays, including the 48 arrays from the April 2005 data set. This particular data set was processed using the PDNN method of Zhang. To simplify comparison among transforms, PDNN values of each array have been adjusted to an average expression of 8 units and a standard deviation of 2 units. -
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    About the cases used to generate this set of data:

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We have used a set of BXD recombinant inbred strains generated by crossing C57BL/6J (B6 or B) with DBA/2J (D2 or D). The BXDs are particularly useful for systems genetics because both parental strains have been sequenced (8x coverage of B6 and 1.5x coverage of D). Physical maps in WebQTL incorporate approximately 1.75 million B vs D SNPs from Celera. BXD2 through BXD32 were bred by Benjamin A. Taylor starting in the late 1970s. BXD33 through 42 were bred by Taylor in the 1990s. These strains are available from The Jackson Laboratory.

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    About the tissue used to generate this set of data:

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Animals were obtained from The Jackson Laboratory and housed for several weeks at BIDMC until they reached ~2 months of age (range from 55 to 62 days). Mice were killed by cervical dislocation and brains were removed and placed in RNAlater for 20 to 25 minutes prior to dissection. Cerebella and olfactory bulbs were removed; brains were hemisected, and both striata were dissected using a medial approach by GD Rosen that typically yields 5 to 7 mg of tissue per side. The purity of this dissection has been validated by an analysis of acetylcholinestase activity. A pool of dissected tissue from 3 or 4 adults (approximately 25 to 30 mg of tissue) of the same strain, sex, and age was collected in one session and used to generate cRNA samples. Roughly 90 to 95% of all cells in the striatum are medium spiny neurons (Gerfen, 1992, for a review of the structure and function of the neostriatum). -

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RNA was extracted by Rosen and colleagues and was then processed by the BIDMC Genomics Core. Labeled cRNA was generated using the Amersham Biosciences cRNA synthesis kit protocol. - -

Replication and Sample Balance: Our goal is to obtain data for independent biological sample pools from at least one sample from each sex for all BXD strains. We have not yet achieved this goal. - - -

Batch Structure: This data set consists of arrays processed in three batches with several "reruns" for the first batch. All arrays were run using a single protocol. All data have been corrected for batch effects as described below. - -

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-The table below lists the arrays by strain, sex, sample name, and batch ID. Each array was hybridized to a pool of mRNA from 3 to 4 mice. All mice were between 55 and 62 days. -
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IdStrainSexSample_nameBatchId
1C57BL/6JMChip41_Batch02_B6_M_StrBatch02
2C57BL/6JMChip11_Batch03_B6_M_StrBatch03
3BXD1FChip03_Batch03_BXD1_F_StrBatch03
4BXD1MChip04_Batch03_BXD1_M_StrBatch03
5BXD2FChip20_Rerun01_BXD2_F_StrRerun01
6BXD2MChip05_Batch01_BXD2_M_StrBatch01
7BXD5FChip10_Batch03_BXD5_F_StrBatch03
8BXD5MChip12_Batch03_BXD5_M_StrBatch03
9BXD6FChip38_Batch02_BXD6_F_StrBatch02
10BXD6MChip39_Batch02_BXD6_M_StrBatch02
11BXD8FChip07_Batch03_BXD8_F_StrBatch03
12BXD8MChip02_Batch03_BXD8_M_StrBatch03
13BXD9FChip16_Batch01_BXD9_F_StrBatch01
14BXD9MChip10_Batch01_BXD9_M_StrBatch01
15BXD11FChip31_Batch02_BXD11_F_StrBatch02
16BXD12FChip11_Batch01_BXD12_F_StrBatch01
17BXD12MChip18_Batch03_BXD12_M_StrBatch03
18BXD13FChip33_Batch02_BXD13_F_StrBatch02
19BXD14FChip48_Batch02_BXD14_F_StrBatch02
20BXD14MChip47_Rerun01_BXD14_M_StrRerun01
21BXD15FChip21_Batch01_BXD15_F_StrBatch01
22BXD15MChip13_Batch01_BXD15_M_StrBatch01
23BXD16FChip36_Batch02_BXD16_F_StrBatch02
24BXD16MChip44_Rerun01_BXD16_M_StrRerun01
25BXD18FChip15_Batch03_BXD18_F_StrBatch03
26BXD18MChip19_Batch03_BXD18_M_StrBatch03
27BXD19FChip19_Batch01_BXD19_F_StrBatch01
28BXD20FChip14_Batch03_BXD20_F_StrBatch03
29BXD21FChip18_Batch01_BXD21_F_StrBatch01
30BXD21MChip09_Batch01_BXD21_M_StrBatch01
31BXD22MChip13_Batch03_BXD22_M_StrBatch03
32BXD23MChip01_Batch03_BXD23_M_StrBatch03
33BXD24MChip17_Batch03_BXD24_M_StrBatch03
34BXD27FChip29_Batch02_BXD27_F_StrBatch02
35BXD27MChip40_Batch02_BXD27_M_StrBatch02
36BXD28FChip06_Batch01_BXD28_F_StrBatch01
37BXD28MChip23_Batch01_BXD28_M_StrBatch01
38BXD29FChip45_Batch02_BXD29_F_StrBatch02
39BXD29MChip42_Batch02_BXD29_M_StrBatch02
40BXD31FChip14_Batch01_BXD31_F_StrBatch01
41BXD31MChip09_Batch03_BXD31_M_StrBatch03
42BXD32MChip30_Batch02_BXD32_M_StrBatch02
43BXD33FChip27_Rerun01_BXD33_F_StrRerun01
44BXD33MChip34_Batch02_BXD33_M_StrBatch02
45BXD34FChip03_Batch01_BXD34_F_StrBatch01
46BXD34MChip07_Batch01_BXD34_M_StrBatch01
47BXD36FChip22_Batch03_BXD36_F_StrBatch03
48BXD36MChip24_Batch03_BXD36_M_StrBatch03
49BXD38FChip17_Batch01_BXD38_F_StrBatch01
50BXD38MChip24_Batch01_BXD38_M_StrBatch01
51BXD39MChip20_Batch03_BXD39_M_StrBatch03
52BXD39FChip23_Batch03_BXD39_F_StrBatch03
53BXD39MChip43_Rerun01_BXD39_M_StrRerun01
54BXD40FChip08_Rerun01_BXD40_F_StrRerun01
55BXD40MChip22_Batch01_BXD40_M_StrBatch01
56BXD42FChip35_Batch02_BXD42_F_StrBatch02
57BXD42MChip32_Batch02_BXD42_M_StrBatch02
58DBA/2JMChip02_Batch01_D2_M_StrBatch01
59DBA/2JMChip05_Batch03_D2_M_StrBatch03
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    About the array platfrom :

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Affymetrix Mouse Genome 430 2.0 array: The 430v2 array consists of 992936 useful 25-nucleotide probes that estimate the expression of approximately 39,000 transcripts (many are near duplicates). The array sequences were selected late in 2002 using Unigene Build 107. The array nominally contains the same probe sequence as the 430A and B series. However, we have found that roughy 75000 probes differ from those on A and B arrays.

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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 91 pixel values per cell. -
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  • Step 1: We added an offset of 1.0 unit to each cell signal to ensure that all values could be logged without generating negative values. We then computed the log base 2 of each cell. - -
  • Step 2: We performed a quantile normalization of the log base 2 values for the total set of 105 arrays (processed as two batches) using the same initial steps used by the RMA transform. - -
  • Step 3: We computed the Z scores for each cell value. - -
  • Step 4: We multiplied all Z scores by 2. - -
  • Step 5: We added 8 to the value of all Z scores. The consequence of this simple set of transformations is to produce a set of Z scores that have a mean of 8, a variance of 4, and a standard deviation of 2. The advantage of this modified Z score is that a two-fold difference in expression level corresponds approximately to a 1 unit difference. - -
  • Step 6: We eliminated much of the systematic technical variance introduced by the batches at the probe level. To do this we calculated the ratio of each batch mean to the mean of all batches and used this as a single multiplicative probe-specific batch correction factor. The consequence of this simple correction is that the mean probe signal value for each batch is the same. - -
  • Step 7: Finally, we computed the arithmetic mean of the values for the set of microarrays for each strain. Technical replicates were averaged before computing the mean for independent biological samples. Note, that we have not (yet) corrected for variance introduced by differences in sex or any interaction terms. We have not corrected for background beyond the background correction implemented by Affymetrix in generating the CEL file. We eventually hope to add statistical controls and adjustments for some of these variables. - -
- -Probe set data from the CHP file: The expression values were -generated using PDNN. The same simple steps described above -were also applied to these values. Every microarray data set -therefore has a mean expression of 8 with a standard deviation of 2. -A 1 unit difference represents roughly a two-fold difference -in expression level. Expression levels below 5 are usually close to -background noise levels.
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    Data source acknowledgment:

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Data were generated with funds to Robert W. Williams, Ken Manly, and Glenn Rosen from the High Q Foundation and from a P20 -MH62009 (see below for specifics). Samples and arrays were processed by the -Genomics Core at Beth Israel Deaconess Medical Center by Towia Libermann and colleagues.

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    About this text file:

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-This text file originally generated by RWW (prospectively), July 30, 2005. Updated by RWW. -

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