1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
|
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN">
<HTML><HEAD><TITLE>M430 Microarray brain PDNN October04 / WebQTL</TITLE>
<META http-equiv=Content-Type content="text/html; charset=iso-8859-1">
<LINK REL="stylesheet" TYPE="text/css" HREF='/css/general.css'>
<LINK REL="stylesheet" TYPE="text/css" HREF='/css/menu.css'>
</HEAD>
<BODY bottommargin="2" leftmargin="2" rightmargin="2" topmargin="2" text=#000000 bgColor=#ffffff>
<TABLE cellSpacing=5 cellPadding=4 width="100%" border=0>
<TBODY>
<TR>
<script language="JavaScript" src="/javascript/header.js"></script>
</TR>
<TR>
<TD bgColor=#eeeeee class="solidBorder">
<Table width= "100%" cellSpacing=0 cellPadding=5><TR>
<!-- Body Start from Here -->
<TD valign="top" height="200" width="100%" bgcolor="#eeeeee">
<P class="title">
INIA Brain mRNA M430 (Oct04) PDNN <A HREF="/webqtl/main.py?FormID=editHtml"><img src="/images/modify.gif" alt="modify this page" border= 0 valign="middle"></A><BR><BR>Accession number: <A HREF="/webqtl/main.py?FormID=sharinginfo&GN_AccessionId=48">GN48</A></P>
<P class="subtitle"> Summary:</P>
<Blockquote><P>
This October 2004 data freeze provides initial estimates of mRNA expression in brains of adult BXD recombinant inbred mice measured using Affymetrix M430AB microarrays. In contast to the U74Av2 array, this new data set provides broader coverage (~45,000 transcripts) but does not include replicates or as many strains (25 vs 35). Data were generated at UTHSC and the University of Memphis with support from grants from the NIAAA Integrative Neuroscience Initiative on Alcoholism (<a href="http://www.iniastress.org" target="_blank" class="fs14">INIA</a>). Data were processed using the <a href="http://odin.mdacc.tmc.edu/~zhangli/PerfectMatch/" target="_blank" class="fs14">PDNN</a> method of Zhang. To simplify comparison among transforms, PDNN values of each array were adjusted to an average of 8 units and a variance of 2 units.</P>
</Blockquote>
<P class="subtitle"> About the cases used to generate this set of data:</P>
<Blockquote>We have exploited a set of BXD recombinant inbred strains. The parental strains from which all BXD lines are derived are C57BL/6J (B) and DBA/2J (D). Both B and D strains have been almost fully sequence (8x coverage for B by a public consortium and approximately 1.5x coverage for D by <a href="http://www.celeradiscoverysystem.com/index.cfm" target="_blank" class="fs14">Celera</a>).</P>
<P>BXD1 through BXD32 were produced by Benjamin A. Taylor starting in the late 1970s. BXD33 through BXD42 were also produced by Taylor, but from a second set of crosses initiated in the early 1990s. These strains are all available from the Jackson Laboratory, Bar Harbor, Maine. </P>
</Blockquote>
<P class="subtitle"> About the tissue used to generate these data:</P>
<Blockquote>The data set consists of a single batch of Affymetrix mouse expression 430A and 430B GeneChip array pairs. Each AB pair was hybridized in sequence (A array first, B array second) with a pool of brain tissue (forebrain minus olfactory bulb, plus the entire midbrain) taken from three adult animals of closely matched age and the same sex. RNA was extracted at UTHSC by Lu Lu, Zhiping Jia, and Hongtao Zhai. All samples were subsequently processed in the INIA Bioanalytical Core at the W. Harry Feinstone Center of Excellence by Thomas R. Sutter and colleagues at the University of Memphis. Before running the main batch of 30 pairs of array, we ran four "test" samples (one male and one female pool from each of the two parental strains, C57BL/6J and DBA/2J). The main set of 30 array pairs includes the same four samples (in other words we have four technical replicates), two F1 hybrid sample (each run two times for a within-batch technical replication), and 22 BXD strains. The data set therefore consists of one male and one female pool from C57BL/6J, DBA/2J, the B6D2F1 hybrid, 11 female BXD samples, and 11 male BXD samples. We should note that the four technical replicates between batches were eventually combined with a correction for a highly significant batch effect. This was done at both the probe and probe set levels to "align" the test batch values with the two main batches. (The ratio of the probe average in the four test arrays to the average of the same probe in the four corresponding main batch arrays was used as a correction factor.) The F1 within-batch technical replicates were simply averaged. In the next batch we will reverse the sex of the BXD samples to achieve a balance with at least 22 BXD strains with one male and one female sample each.
</Blockquote>
<Blockquote>
The table below lists the arrays by strain, sex, age, sample identifier, and data results were obtained from the Bioanalytical Core at the University of Memphis. Each array was hybridized to a pool of mRNA from three mice.
</Blockquote>
<table border="0" cellpadding="0" cellspacing="0" bgcolor="#000000" width="50%" align="Center">
<tr>
<td>
<table width="100%" border="0" cellpadding="5" cellspacing="1">
<tr bgcolor="royalblue"><td><font color=#FFFFFF>Strain</font></td>
<td><font color=#FFFFFF>Sex</font></td>
<td><font color=#FFFFFF>Age</font></td>
<td><font color=#FFFFFF>SampleID</td>
<td><font color=#FFFFFF>Date</font></td></tr>
<tr bgcolor="#eeeeee"><td>B6D2F1</td><td>F</td><td>127</td><td>919-F1</td><td>Jan04</td></tr>
<tr bgcolor="#eeeeee"><td>B6D2F1</td><td>F</td><td>127</td><td>919-F2</td><td>Jan04</td></tr>
<tr bgcolor="#eeeeee"><td>B6D2F1</td><td>M</td><td>127</td><td>920-F1</td><td>Jan04</td></tr>
<tr bgcolor="#eeeeee"><td>B6D2F1</td><td>M</td><td>127</td><td>920-F2</td><td>Jan04</td></tr>
<tr bgcolor="#eeeeee"><td>C57BL/6J</td><td>F</td><td>65</td><td>903-F1</td><td>Nov03</td></tr>
<tr bgcolor="#eeeeee"><td>C57BL/6J</td><td>F</td><td>65</td><td>903-F2</td><td>Jan03</b></td></tr>
<tr bgcolor="#eeeeee"><td>C57BL/6J</td><td>M</td><td>66</td><td>906-F1</td><td>Nov03</td></tr>
<tr bgcolor="#eeeeee"><td>C57BL/6J</td><td>M</td><td>66</td><td>906-F2</td><td>Jan04</td></tr>
<tr bgcolor="#eeeeee"><td>DBA/2J</td><td>F</td><td>60</td><td>917-F1</td><td>Nov03</td></b></tr>
<tr bgcolor="#eeeeee"><td>DBA/2J</td><td>F</td><td>60</td><td>917-F2</td><td>Jan04</td></tr>
<tr bgcolor="#eeeeee"><td>DBA/2J</td><td>M</td><td>60</td><td>918-F1</td><td>Nov03</td></tr>
<tr bgcolor="#eeeeee"><td>DBA/2J</td><td>M</td><td>60</td><td>918-F2</td><td>Jan04</td></tr>
<tr bgcolor="#eeeeee"><td>BXD1</td><td>F</td><td>95</td><td>895-F1</td><td>Jan04</td></tr>
<tr bgcolor="#eeeeee"><td>BXD5</td><td>M</td><td>71</td><td>728-F1</td><td>Jan04</td></tr>
<tr bgcolor="#eeeeee"><td>BXD6</td><td>M</td><td>92</td><td>902-F1</td><td>Jan04</td></tr>
<tr bgcolor="#eeeeee"><td>BXD8</td><td>F</td><td>72</td><td>S167-F1</td><td>Jan04</td></tr>
<tr bgcolor="#eeeeee"><td>BXD9</td><td>M</td><td>86</td><td>909-F1</td><td>Jan04</td></tr>
<tr bgcolor="#eeeeee"><td>BXD12</td><td>M</td><td>64</td><td>897-F1</td><td>Jan04</td></tr>
<tr bgcolor="#eeeeee"><td>BXD13</td><td>F</td><td>86</td><td>748-F1</td><td>Jan04</td></tr>
<tr bgcolor="#eeeeee"><td>BXD14</td><td>M</td><td>91</td><td>912-F1</td><td>Jan04</td></tr>
<tr bgcolor="#eeeeee"><td>BXD18</td><td>F</td><td>108</td><td>771-F1</td><td>Jan04</td></tr>
<tr bgcolor="#eeeeee"><td>BXD19</td><td>F</td><td>56</td><td>S236-F1</td><td>Jan04</td></tr>
<tr bgcolor="#eeeeee"><td>BXD21</td><td>F</td><td>67</td><td>740-F1</td><td>Jan04</td></tr>
<tr bgcolor="#eeeeee"><td>BXD23</td><td>F</td><td>88</td><td>815-F1</td><td>Jan04</td></tr>
<tr bgcolor="#eeeeee"><td>BXD24</td><td>M</td><td>71</td><td>913-F1</td><td>Jan04</td></tr>
<tr bgcolor="#eeeeee"><td>BXD25</td><td>F</td><td>74</td><td>S373-F1</td><td>Jan04</td></tr>
<tr bgcolor="#eeeeee"><td>BXD28</td><td>F</td><td>79</td><td>910-F1</td><td>Jan04</td></tr>
<tr bgcolor="#eeeeee"><td>BXD29</td><td>F</td><td>76</td><td>693-F1</td><td>Jan04</td></tr>
<tr bgcolor="#eeeeee"><td>BXD32</td><td>F</td><td>93</td><td>898-F1</td><td>Jan04</td></tr>
<tr bgcolor="#eeeeee"><td>BXD33</td><td>M</td><td>77</td><td>915-F1</td><td>Jan04</td></tr>
<tr bgcolor="#eeeeee"><td>BXD34</td><td>M</td><td>72</td><td>916-F1</td><td>Jan04</td></tr>
<tr bgcolor="#eeeeee"><td>BXD36</td><td>M</td><td>77</td><td>926-F1</td><td>Jan04</td></tr>
<tr bgcolor="#eeeeee"><td>BXD38</td><td>M</td><td>69</td><td>731-F1</td><td>Jan04</td></tr>
<tr bgcolor="#eeeeee"><td>BXD42</td><td>M</td><td>97</td><td>936-F1</td><td>Jan04</td></tr>
</table>
</td>
</tr>
</table>
</Blockquote>
<P class="subtitle"> About the array platform:</P>
<Blockquote><P>
<B>Affymetrix 430A and 430B GeneChip Set:</B> Expression data were generated using 430AB array pairs. The chromosomal locations of probe sets were determined by <a href="http://genome.ucsc.edu/cgi-bin/hgBlat?command=start&org=mouse" target="_blank" class="fs14">BLAT</A> analysis of concatenated probe sequences using the Mouse Genome Sequencing Consortium May 2004 (mm5) assembly. This BLAT analysis is performed periodically by Yanhua Qu as each new build of the mouse genome is released. We thank Yan Cui (UTHSC) for allowing us to use his Linux cluster to perform this analysis. It is possible to confirm the BLAT alignment results yourself simply by clicking on either the <B>Verify UCSC</B> and <B>Verify Ensembl</B> links in the Trait Data and Editing Form (right side of the <B>Location</B> line).</P>
</Blockquote>
<P class="subtitle"> About data processing:</P>
<Blockquote><B>Probe (cell) level data from the CEL file: </B>These CEL values produced by <a target="_blank" class="fs14" href="http://www.affymetrix.com/support/technical/product_updates/gcos_download.affx">GCOS</a> are 75% quantiles from a set of 91 pixel values per cell.
</Blockquote>
<Blockquote>
<UL>
<LI>Step 1: We added an offset of 1 to the CEL expression values for each cell to ensure that all values could be logged without generating negative values.
<LI>Step 2: We took the log base 2 of each probe signal.
<LI>Step 3: We computed the Z scores for each probe signal.
<LI>Step 4: We multiplied all Z scores by 2.
<LI>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.
<LI>Step 6a: The 430A and 430B arrays include a set of 100 shared probe sets (2200 probes) that have identical sequences. These probes provide a way to calibrate expression of the A and B arrays to a common scale. The absolute mean expression on the 430B array is almost invariably lower than that on the 430A array. To bring the two arrays into alignment, we regressed Z scores of the common set of probes to obtain a linear regression corrections to rescale the 430B arrays to the 430A array. In our case this involved multiplying all 430B Z scores by the slope of the regression and adding or subtracting a very small offset. The result of this step is that the mean of the 430A GeneChip expression is fixed at a value of 8, whereas that of the 430B chip is typically 7. Thus average of A and B arrays is approximately 7.5.
<LI>Step 6b: We recenter the whole set of 430A and B transcripts to a mean of 8 and a standard deviation of 2. This involves reapplying Steps 3 through 5 above but now using the entire set of probes and probe sets from a merged 430A and B data set.
<LI>Step 7: We corrected for technical variance introduced by two batches. Means separated by the first batch for each gene are corrected same as means of the second batch.
<LI>Step 8: Finally, we compute the arithmetic mean of the values for the set of microarrays for each strain. In this data set we have modest numbers of replicates and for this reason we do not yet provide error terms for transcripts or probes. Note, that we have not (yet) corrected for variance introduced by differences in sex, age, or any interaction terms. We have not corrected for background beyond the background correction implemented by Affymetrix in generating the CEL file. We expect to add statistical controls and adjustments for these variables in subsequent versions of WebQTL.
</UL>
</Blockquote>
<Blockquote>
<P><B>Probe set data: </B>The original expression values in the Affymetrix CEL files were read into <a href="http://odin.mdacc.tmc.edu/~zhangli/PerfectMatch/" target="_blank" class="fs14">PerfectMatch</a> to generate the normalized PDNN data set.</P>
<P>PDNN values of each array were subsequently normalized to a achieve a mean value of 8 units and a variance of 2 units.</P>
<P>When necessary, we computed the arithmetic mean for technical replicates and treated these as single samples. We then computed the arithmetic mean for the set of 2 to 5 biological replicates for each strain.
</P>
</Blockquote>
<P class="subtitle"> About the array probe set names:</P>
<Blockquote> <P>
Most probe sets on the mouse 430A and 430B arrays consist of a total of 22 probes, divided into 11 perfect match(PM) probes and 11 mismatch (MM) controls. Each set of these 25-nucleotide-long probes has an identifier code that includes a unique number, an underscore character, several suffix characters that highlight design features, a a final A or B character to specify the array pair member. The most common probe set suffix is <b>at</b>. This code indicates that the probes should hybridize relatively selectively with the complementary anti-sense target (i.e., the complemenary RNA) produced from a single gene.</P>
</Blockquote>
<P class="subtitle"> Data source acknowledgment:</P>
<Blockquote>
Data for the microarrays were generously provided by support from NIAAA INIA grants to RWW and Thomas Sutter. Support for sample acquistion and WebQTL have been provided by NIMH Human Brain Project, and the Dunavant Chair of Excellence, University of Tennessee Health Science Center. All arrays were processed at the University of Memphis by Dr. Thomas Sutter and colleagues with support of the INIA Bioanalytical Core.
</Blockquote>
<P class="subtitle"> Information about this text file:</P>
<Blockquote><P>This text file originally generated by RWW, YHQ, and EJC, Oct 2004. Updated by RWW, Nov 5, 2004.
</P></Blockquote>
<P></P>
</TD>
</TR></TABLE>
</TD>
</TR>
<TR>
<TD align=center bgColor=#ddddff class="solidBorder">
<!--Start of footer-->
<TABLE width="90%">
<script language='JavaScript' src='/javascript/footer.js'></script>
</TABLE>
<!--End of footer-->
</TD>
</TR>
</TABLE>
<!-- /Footer -->
<!-- menu script itself. you should not modify this file -->
<script language="JavaScript" src="/javascript/menu_new.js"></script>
<!-- items structure. menu hierarchy and links are stored there -->
<script language="JavaScript" src="/javascript/menu_items.js"></script>
<!-- files with geometry and styles structures -->
<script language="JavaScript" src="/javascript/menu_tpl.js"></script>
<script language="JavaScript">
<!--//
// Note where menu initialization block is located in HTML document.
// Don't try to position menu locating menu initialization block in
// some table cell or other HTML element. Always put it before </body>
// each menu gets two parameters (see demo files)
// 1. items structure
// 2. geometry structure
new menu (MENU_ITEMS, MENU_POS);
// make sure files containing definitions for these variables are linked to the document
// if you got some javascript error like "MENU_POS is not defined", then you've made syntax
// error in menu_tpl.js file or that file isn't linked properly.
// also take a look at stylesheets loaded in header in order to set styles
//-->
</script>
</BODY>
</HTML>
|
