Login / Signup

Starting and stopping RNA polymerase III transcription on single-stranded DNA oligonucleotides.

Lodoe LamaKevin Ryan
Published in: RNA (New York, N.Y.) (2022)
Circularized single-stranded DNA oligonucleotides, or coligos, show promise as promoter-independent RNA polymerase III (Pol III) transcription templates for generating small RNA in human cells. Using a modified small RNA-seq method, we studied the sequence and secondary structure characteristics that determine Pol III initiation and termination on six coligo templates. The coligos each consisted of an imperfectly base-paired stem flanked by one larger and one smaller loop and were unrelated in sequence. Small RNA-seq data from Pol III coligo transcripts revealed a strong preference for initiating transcription within a 5-nucleotide (nt) window spanning the stem-larger loop junction (loop size 11-24 nt). Transcription in all cases proceeded into the stem rather than into the larger loop, indicating the junction is a site-specific, secondary structure-based Pol III transcription initiator. On average, 81% of sequencing reads showed initiation within this 5 nt junction region, with a template start site nucleotide preference of C > T >> A > G, and a requirement for a template purine at Tss-1. Termination was less precise than initiation and occurred in the larger loop at the same end of the stem where transcription initiated. Termination efficiency was on average 82% and was distributed among the first 11 single-stranded larger loop nt following the stem. The size heterogeneity of Pol III coligo transcripts is thus mainly due to 3' end heterogeneity, whereas the RNA 5' ends were more predictable and homogeneous. Transcription termination did not require an oligo dA template sequence, indicating that termination in this context may be mechanistically different than Pol III's normal gene-context termination. A stepwise model for coligo transcription by Pol III is proposed.
Keyphrases
  • transcription factor
  • single cell
  • rna seq
  • nucleic acid
  • gene expression
  • dna methylation
  • binding protein
  • circulating tumor
  • machine learning
  • big data
  • artificial intelligence
  • data analysis
  • neural network