| Literature DB >> 30512012 |
Stephen W Santoro1, Susanne Jakob2.
Abstract
Olfactory experience can alter the molecular and cellular composition of chemosensory neurons within the olfactory sensory epithelia of mice. We sought to investigate the scope of cellular and molecular changes within a mouse's olfactory system as a function of its exposure to complex and salient sets of odors: those emitted from members of the opposite sex. We housed mice either separated from members of the opposite sex (sex-separated) or together with members of the opposite sex (sex-combined) until six months of age, resulting in the generation of four cohorts of mice. From each mouse, the main olfactory epithelium (MOE), vomeronasal organ (VNO), and olfactory bulb (OB) were removed and RNA-extracted. A total of 36 RNA samples, representing three biological replicates per sex/condition/tissue combination, were analyzed for integrity and used to prepare RNA-seq libraries, which were subsequently analyzed via qPCR for the presence of tissue- or sex-specific markers. Libraries were paired-end sequenced to a depth of ~20 million fragments per replicate and the data were analyzed using the Tuxedo suite.Entities:
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Year: 2018 PMID: 30512012 PMCID: PMC6278690 DOI: 10.1038/sdata.2018.260
Source DB: PubMed Journal: Sci Data ISSN: 2052-4463 Impact factor: 6.444
Figure 1Experimental design.
From weaning (P21) until 6 months of age, mice experienced either a sex-separated environment, in which they were housed either 4 females/cage (SF mice; left) or 4 males/cage (SM mice; middle), or a sex-combined environment (CF and CM mice; right), in which they were housed 2 females + 2 males/cage. MOE, VNO, and OB tissues were dissected from each of 9 mice per sex/condition combination, resulting in a total of 108 tissue samples. RNA was extracted from each tissue sample and pooled in groups of 3, resulting in 36 RNA samples (3 biological replicates per sex/condition/tissue combination), and used to generate RNA-seq libraries.
Figure 2RNA integrity analysis.
The integrity of (a) MOE, (b) VNO, and (c) OB samples was analyzed using an Agilent Bioanalyzer 2100 instrument. RNA integrity number (RIN) values for all samples are listed in Table 1.
RNA samples used for library preparation.
| Sample ID | RIN | Description | Index | Index seq |
|---|---|---|---|---|
| MOE-SF1 | 8.7 | MOE, 6m Female, sex separated | AR013 | AGTCAA |
| MOE-SF2 | 8.1 | MOE, 6m Female, sex separated | AR014 | AGTTCC |
| MOE-SF3 | 8.7 | MOE, 6m Female, sex separated | AR015 | ATGTCA |
| MOE-SM1 | 8.6 | MOE, 6m Male, sex separated | AR016 | CCGTCC |
| MOE-SM2 | 8.4 | MOE, 6m Male, sex separated | AR018 | GTCCGC |
| MOE-SM3 | 8.3 | MOE, 6m Male, sex separated | AR019 | GTGAAA |
| MOE-CF1 | 8.4 | MOE, 6m Female, sex combined | AR002 | CGATGT |
| MOE-CF2 | 8.5 | MOE, 6m Female, sex combined | AR004 | TGACCA |
| MOE-CF3 | 8.4 | MOE, 6m Female, sex combined | AR005 | ACAGTG |
| MOE-CM1 | 8.4 | MOE, 6m Male, sex combined | AR006 | GCCAAT |
| MOE-CM2 | 8.4 | MOE, 6m Male, sex combined | AR007 | CAGATC |
| MOE-CM3 | 8.5 | MOE, 6m Male, sex combined | AR012 | CTTGTA |
| VNO-SF1 | 8.0 | VNO, 6m Female, sex separated | AR013 | AGTCAA |
| VNO-SF2 | 8.0 | VNO, 6m Female, sex separated | AR014 | AGTTCC |
| VNO-SF3 | 7.8 | VNO, 6m Female, sex separated | AR015 | ATGTCA |
| VNO-SM1 | 8.0 | VNO, 6m Male, sex separated | AR016 | CCGTCC |
| VNO-SM2 | 8.0 | VNO, 6m Male, sex separated | AR018 | GTCCGC |
| VNO-SM3 | 7.6 | VNO, 6m Male, sex separated | AR019 | GTGAAA |
| VNO-CF1 | 7.6 | VNO, 6m Female, sex combined | AR002 | CGATGT |
| VNO-CF2 | 7.6 | VNO, 6m Female, sex combined | AR004 | TGACCA |
| VNO-CF3 | 7.7 | VNO, 6m Female, sex combined | AR005 | ACAGTG |
| VNO-CM1 | 7.6 | VNO, 6m Male, sex combined | AR006 | GCCAAT |
| VNO-CM2 | 7.3 | VNO, 6m Male, sex combined | AR007 | CAGATC |
| VNO-CM3 | 7.7 | VNO, 6m Male, sex combined | AR012 | CTTGTA |
| OB-SF1 | 9.4 | OB, 6m Female, sex separated | AR013 | AGTCAA |
| OB-SF2 | 9.2 | OB, 6m Female, sex separated | AR014 | AGTTCC |
| OB-SF3 | 9.3 | OB, 6m Female, sex separated | AR015 | ATGTCA |
| OB-SM1 | 9.3 | OB, 6m Male, sex separated | AR016 | CCGTCC |
| OB-SM2 | 9.0 | OB, 6m Male, sex separated | AR018 | GTCCGC |
| OB-SM3 | 9.4 | OB, 6m Male, sex separated | AR019 | GTGAAA |
| OB-CF1 | 8.8 | OB, 6m Female, sex combined | AR002 | CGATGT |
| OB-CF2 | 9.3 | OB, 6m Female, sex combined | AR004 | TGACCA |
| OB-CF3 | 9.0 | OB, 6m Female, sex combined | AR005 | ACAGTG |
| OB-CM1 | 8.9 | OB, 6m Male, sex combined | AR006 | GCCAAT |
| OB-CM2 | 9.0 | OB, 6m Male, sex combined | AR007 | CAGATC |
| OB-CM3 | 9.3 | OB, 6m Male, sex combined | AR012 | CTTGTA |
Figure 3qPCR validation of RNA-seq libraries.
Libraries were analyzed by qPCR for the presence (+) or absence (−) of (a) Cnga2, a gene expressed in MOE but not VNO or OB tissues, (b) Vmn1r51, a gene expressed in VNO but not OB or MOE tissues, and (c) Utyl, a gene expressed in male but not female tissues.
Summary of sequencing and data and alignment statistics for each sample.
| Sample ID | # input read pairs | % reads aligned | # aligned pairs | % pairs concordant | Mean insert size |
|---|---|---|---|---|---|
| MOE-SF1 | 17,936,897 | 95.4 | 16,756,408 | 89.5 | 174 |
| MOE-SF2 | 20,343,882 | 95.3 | 19,026,235 | 89.5 | 200 |
| MOE-SF3 | 19,317,876 | 94.3 | 17,828,012 | 87.9 | 180 |
| MOE-SM1 | 19,292,464 | 90.1 | 16,870,239 | 82.9 | 165 |
| MOE-SM2 | 17,946,239 | 91.6 | 15,997,782 | 84.9 | 166 |
| MOE-SM3 | 19,684,675 | 92.7 | 17,823,615 | 86.7 | 162 |
| MOE-CF1 | 15,957,907 | 89.8 | 13,790,262 | 82.6 | 164 |
| MOE-CF2 | 18,146,858 | 93.2 | 16,468,092 | 87.2 | 175 |
| MOE-CF3 | 18,285,912 | 91.2 | 16,091,283 | 83.5 | 171 |
| MOE-CM1 | 19,360,628 | 95.2 | 18,011,836 | 89.5 | 169 |
| MOE-CM2 | 17,344,326 | 94.7 | 16,073,852 | 89.5 | 175 |
| MOE-CM3 | 23,414,279 | 77.6 | 16,583,279 | 63.6 | 150 |
| VNO-SF1 | 19,454,769 | 81.2 | 14,691,640 | 65.2 | 156 |
| VNO-SF2 | 23,880,934 | 88.6 | 20,326,802 | 78.2 | 169 |
| VNO-SF3 | 23,632,351 | 88.8 | 20,223,703 | 79.2 | 166 |
| VNO-SM1 | 21,999,191 | 85.1 | 17,899,156 | 75.0 | 171 |
| VNO-SM2 | 16,463,769 | 92.5 | 14,846,906 | 85.4 | 177 |
| VNO-SM3 | 22,234,190 | 90.3 | 19,368,457 | 80.6 | 177 |
| VNO-CF1 | 20,872,570 | 86.6 | 17,298,741 | 76.1 | 167 |
| VNO-CF2 | 23,265,141 | 94.3 | 21,523,031 | 88.5 | 180 |
| VNO-CF3 | 20,514,901 | 92.5 | 18,528,145 | 85.8 | 165 |
| VNO-CM1 | 28,682,728 | 87.0 | 23,754,542 | 73.0 | 173 |
| VNO-CM2 | 22,664,866 | 90.8 | 20,026,105 | 83.7 | 169 |
| VNO-CM3 | 23,963,570 | 90.5 | 20,964,674 | 81.4 | 174 |
| OB-SF1 | 23,422,139 | 89.0 | 20,097,969 | 80.3 | 159 |
| OB-SF2 | 20,718,443 | 91.1 | 18,381,492 | 84.4 | 164 |
| OB-SF3 | 22,653,174 | 86.0 | 18,573,903 | 75.0 | 157 |
| OB-SM1 | 12,631,476 | 86.7 | 10,569,714 | 79.0 | 157 |
| OB-SM2 | 20,580,681 | 90.6 | 18,172,810 | 84.1 | 163 |
| OB-SM3 | 22,306,877 | 90.4 | 19,600,592 | 83.3 | 162 |
| OB-CF1 | 18,551,012 | 92.7 | 16,737,213 | 85.0 | 167 |
| OB-CF2 | 20,766,305 | 92.1 | 18,645,696 | 85.3 | 169 |
| OB-CF3 | 19,576,199 | 85.2 | 15,852,042 | 73.6 | 154 |
| OB-CM1 | 21,978,571 | 89.3 | 19,014,325 | 81.7 | 160 |
| OB-CM2 | 20,380,317 | 89.7 | 17,696,453 | 81.7 | 162 |
| OB-CM3 | 21,601,326 | 91.2 | 19,198,089 | 84.9 | 159 |
Figure 4Analysis of library sequence quality and insert lengths.
(Left) Per base quality and (middle) per base sequence analyses from FASTQC (Andrews S. (2010). FastQC: a quality control tool for high throughput sequence data. Available online at: http://www.bioinformatics.babraham.ac.uk/projects/fastqc/). (Right) Insert length analyses from the CollectInsertSizeMetrics tool (http://broadinstitute.github.io/picard/). Figures are for analysis of the MOE-SF1, VNO-SF1, OB-SF1 samples, which were representative.
Figure 5Analysis of the correlation of gene expression between biological replicates.
Pairwise scatter plots of log2-transformed FPKM values and correlation coefficients for biological replicates of (a) MOE, (b) VNO, and (c) OB samples. Pearson correlation coefficients (r) for each comparison are indicated in red.