Sentence examples for extensive transcription from inspiring English sources

Transcriptome analyses using unbiased high-density tiling arrays have been used to detect individual exons of a spliced transcript and multifunctional and extensive transcription from both strands of human DNA [ 15].

For example, a high-resolution strand-specific analysis of the entire transcriptome of S. pombe showed extensive transcription including intergenic and antisense transcription [19].

The recent discovery of the possible extensive transcription of non-coding RNAs (ncRNAs) from the genome [34] supports the ROSG model.

Recent studies of RNA transcription in human cells using ENCODE tiling arrays and poly(A)+ RNA have surprisingly described extensive transcription in previously unannotated genomic regions [18], [31], [32].

In order to identify transcripts showing temporal rhythmicity and to establish possible functional relations between photoreceptors and the circadian clock machinery in tomato, we performed extensive transcription analyses using the TOM2 microarray and using Quantitative Real-Time PCR (QRT-PCR) of the PHYA, PHYB1, PHYB2, PHYE, PHYF [39] and CRY1a, CRY1b, CRY2 genes [40], [41].

We note that recent experiments employing tiling arrays argue for extensive transcription in the Drosophila genome [48], implying that a subset of the putative SXL binding sites in regions annotated as intergenic could have a role in post-transcriptional regulation of non-coding transcripts.

Such extensive transcriptions may provide a structural explanation for Hox clustering.

Unexpectedly, the HTPS experiments revealed extensive antisense transcription, probably for regulatory functions.

These results are similar to an earlier study in E. coli that detected extensive antisense transcription throughout the genome [22].

Even for the β-Globin cluster that presents extensive intergenic transcription ([16] and figure 1b,c), more than 95% of the transcribed sequences match annotated genes (see fig 1b,d).

Whilst all major components of the various chaperone systems were identified in this study, despite extensive searches, transcription factors controlling the expression of many of these were not present in the dataset.