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| Status |
Public on Sep 08, 2020 |
| Title |
FFPE-Rat-81 |
| Sample type |
SRA |
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| Source name |
Liver
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| Organism |
Rattus norvegicus |
| Characteristics |
strain: F344
Sex: Male
tissue: Liver
cell line: --
preservation: directly fixed in 10% neutral buffered formallin for 18-24h. prior to paraffin embedding
chemical treatment: vehicle control
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| Extracted molecule |
total RNA |
| Extraction protocol |
FFPE and cell samples that underwent TempO-sequencing were lysed using BioSpyder 2X lysis buffer
FFPE lysates were first deparaffinized by an overlay of mineral oil and heated to 95°C for 5 min. RNA, cellular lysate, and deparaffinized FFPE lysates were then treated with Protease K followed by annealing of a pair of detector oligos 25 nt adjacent to the target RNA. Excess oligos were digested with nuclease while those bound adjacent to the target were ligated (Yeakley et al. 2017) and amplified. Each sample was assigned a specific barcode pair that hybridized with the universal detector oligos allowing for sample identification following sequencing and library generation for the s1500+ rat and mouse transcriptome assays. The s1500+ rat measures 2603 genes (2636 probes) and the s1500+ mouse measures 2756 genes (3045 probes) targeting a subset of protein-coding genes considered representative of the entire transcriptome. Sample amplicons were pooled and purified using a PCR clean-up kit (Clontech, Mountain View, California). Libraries were sequenced using a NextSeq 550 sequencing platform by BioSpyder
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| Library strategy |
OTHER |
| Library source |
transcriptomic |
| Library selection |
other |
| Instrument model |
NextSeq 550 |
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| Description |
Raw files were unavailable at the time of submission due to the COVID-19 epidemic
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| Data processing |
Library strategy: TempO-sequencing
After sequencing, basecall files were converted into FASTQ output files using CASAVA (1.8.2). RNA-sequencing FASTQ data were demultiplexed, and sequencing adapters and other low-quality bases were removed from the ends of reads during clipping and trimming using the fastq-mcf3 tool (available at https://github.com/ExpressionAnalysis/ea-utils/blob/wiki/FastqMcf.md). Trimming included removal of Illumina adapters, homopolymers at read ends and nucleotides with quality scores (Phred Q-scores) <7. Any read with one base >95% frequency, homopolymers ≥ 4 within a read, and an average Q-score below 25, or length < 25 bases were also filtered by fastq-mcf3 tool.
Total RNA-seq reads from Studies 1 and 2 were aligned to External RNA Controls Consortium (ERCC) spike-ins to assess the success of library construction and sequencing. A subset of the reads (~1 million) was aligned to other added control sequences (PhiX and other Illumina controls used during library preparation), residual sequences (globin and rRNA), and poly-A/T sequences that persisted after clipping. Reads were also aligned to a sampling of intergenic regions to assess the level of DNA contamination.
Subsequent data analysis was carried out using Partek Flow NGS® v 6.17.1128 (Partek Inc., St. Louis, MO). Total RNA-seq reads were aligned using STAR v2.5.3a and counts matrices were generated using the Expectation-Maximization algorithm (Xing et al. 2006) implemented in Partek Flow. For mouse samples, clipped FASTQ files were aligned to the Mus musculus reference genome (GRCm38/mm10) and quantified to the transcriptome (RefSeq transcript 81-2017-05-02). A 0.0001 offset was added to gene features with zero counts. Gene features with geometric mean of ≤ 1 count across all samples were filtered prior to counts per million normalization (CPM). Filtered, normalized gene counts were then analyzed for differential gene expression using Partek Gene Specific Analysis™ algorithm (GSA). Significance was defined as false discovery rate (FDR)-adjusted p-value of <0.05 and absolute fold change count ≥ 2.
For TempO-sequencing data, reads from FASTQ files involving rat were directly aligned to the Rattus norvegicus reference genome (rn6) using STAR v2.5.3a and quantified to rn6 - Ensembl Transcripts release 90 transcriptome annotation model. Reads from FASTQ files involving the AML12 cells were aligned to the Mus musculus reference genome (GRCm38/mm10) and quantified to the RefSeq transcript 81-2017-05-02 annotation model. Counts matrices were generated using the Expectation-Maximization algorithm (Xing et al. 2006) implemented in Partek Flow. One FR rat lung sample (RNA-Rat-54) was removed from subsequent analyses due to low read counts. Differentially expressed genes were identified using Partek Gene Specific Analysis™ algorithm (GSA). Significance was defined as false discovery rate (FDR)-adjusted p-value of <0.05 and absolute fold change count ≥ 2.
Genome_build: Rattus norvegicus rn6
Genome_build: Mus musculus mm10
Supplementary_files_format_and_content: raw and normalized gene counts
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| Submission date |
Jul 01, 2020 |
| Last update date |
Sep 08, 2020 |
| Contact name |
Susan Hester |
| E-mail(s) |
[email protected]
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| Phone |
919-541-1320
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| Organization name |
US EPA
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| Street address |
109 TW Alexander Dr
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| City |
RTP |
| State/province |
NC |
| ZIP/Postal code |
27711 |
| Country |
USA |
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| Platform ID |
GPL25029 |
| Series (1) |
| GSE148174 |
Direct Formalin Fixation Induces Widespread Transcriptomic Effects in Archival Tissue Samples |
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| Relations |
| BioSample |
SAMN15415239 |
| Supplementary data files not provided |
| Processed data are available on Series record |
| Raw data not provided for this record |
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