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1.
Fig. 3.

Fig. 3. From: Characterization of the rat developmental liver transcriptome.

Dynamic range of fragments per kilobase of exon per million fragments mapped (FPKM) values represented as log10 transformed FPKM values for each gene calculated for each developmental time-period.

Richard H. Chapple, et al. Physiol Genomics. 2013 Apr 15;45(8):301-311.

CitationFull text

2.
Fig. 2.

Fig. 2. From: Characterization of the rat developmental liver transcriptome.

Multidimensional scaling plot of samples based on genes found to be differentially expressed (DE) between any developmental-time period. Sample identification is Developmental Time Period_Replicate. E, embryonic day; P, postnatal day.

Richard H. Chapple, et al. Physiol Genomics. 2013 Apr 15;45(8):301-311.

CitationFull text

3.
Fig. 1.

Fig. 1. From: Characterization of the rat developmental liver transcriptome.

Distribution of the number of adapter sequence trimmed bases for 12 samples each sequenced 1 × 100 bp on 1 lane of an Illumina HiSeq 2000.

Richard H. Chapple, et al. Physiol Genomics. 2013 Apr 15;45(8):301-311.

CitationFull text

4.
Fig. 8.

Fig. 8. From: Characterization of the rat developmental liver transcriptome.

The fatty acid metabolism pathway was determined to be enriched for genes upregulated between E20 and P1. Red stars indicate the genes in the pathway that were found in the list of upregulated DE genes.

Richard H. Chapple, et al. Physiol Genomics. 2013 Apr 15;45(8):301-311.

CitationFull text

5.
Fig. 7.

Fig. 7. From: Characterization of the rat developmental liver transcriptome.

Independent validation of cell-cycle progression gene expression patterns. The expression plots over the developmental time-course recapitulate the known expression profiles of cyclin-dependent kinase 1 (Cdk1) and cyclin A2 (Ccna2) ().

Richard H. Chapple, et al. Physiol Genomics. 2013 Apr 15;45(8):301-311.

CitationFull text

6.
Fig. 4.

Fig. 4. From: Characterization of the rat developmental liver transcriptome.

Volcano plots showing the relationship between statistical significance of each test for DE and relative transcript abundance for 2 sequential developmental time-period comparisons. Significant DE genes are colored red.

Richard H. Chapple, et al. Physiol Genomics. 2013 Apr 15;45(8):301-311.

CitationFull text

7.
Fig. 6.

Fig. 6. From: Characterization of the rat developmental liver transcriptome.

Independent validation of metabolic gene expression patterns. The expression plots over the developmental time-course recapitulate the known expression profiles of glucose-6-phosphatase (G6pc) and tyrosine aminotransferase (Tat) (, ).

Richard H. Chapple, et al. Physiol Genomics. 2013 Apr 15;45(8):301-311.

CitationFull text

8.
Fig. 5.

Fig. 5. From: Characterization of the rat developmental liver transcriptome.

Independent validation of transcription factor expression patterns. Plots illustrate the developmental expression patterns of C/EBPα, GATA6, and HNF-4α detected in the RNA-Seq data that exhibit great similarity to the plots of Kyrmizi et al. (). The tracking ID identifies the major isoform for each gene (XLOC).

Richard H. Chapple, et al. Physiol Genomics. 2013 Apr 15;45(8):301-311.

CitationFull text

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