Evidence map›Paper›PMID 22044042›Full record

ArticleBiochemistry2011

Importance of steric effects on the efficiency and fidelity of transcription by T7 RNA polymerase.

Sébastien Ulrich, Eric T Kool

Abstract read
In one paragraph

Article in Biochemistry, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.5field-weighted citation impact, top 35% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Sébastien UlrichDepartment of Chemistry, Stanford University, Stanford, California 94305-5080, United States.
Eric T Kool
Stanford University · US

Funding

Probing Nucleotide Recognition in the Genetic Information PathwayR01GM072705 · NIGMS · STANFORD UNIVERSITY · PI KOOL, ERIC T. · 2004 to 2012
$2.4M
NIGMS NIH HHS GM072705NIGMS NIH HHS R01 GM072705
6 · The paper itself

Abstract

DNA-dependent RNA polymerases such as T7 RNA polymerase (T7 RNAP) perform the transcription of DNA into mRNA with high efficiency and high fidelity. Although structural studies have provided a detailed account of the molecular basis of transcription, the relative importance of factors like hydrogen bonds and steric effects remains poorly understood. We report herein the first study aimed at systematically probing the importance of steric and electrostatic effects on the efficiency and fidelity of DNA transcription by T7 RNAP. We used synthetic nonpolar analogues of thymine with sizes varying in subangstrom increments to probe the steric requirements of T7 RNAP during the elongation mode of transcription. Enzymatic assays with internal radiolabeling were performed to compare the efficiency of transcription of modified DNA templates with a natural template containing thymine as a reference. Furthermore, we analyzed effects on the fidelity by measuring the composition of RNA transcripts by enzymatic digestion followed by two-dimensional thin layer chromatography separation. Our results demonstrate that hydrogen bonds play an important role in the efficiency of transcription but, interestingly, do not appear to be required for faithful transcription. Steric effects (size and shape variations) are found to be significant both in insertion of a new RNA base and in extension beyond it.

Indexed as

Bacteriophage T7Base PairingDNA-Directed RNA PolymerasesHydrogen BondingKineticsMolecular Sequence DataStatic ElectricityTemplates, GeneticThymineTranscription, GeneticViral Proteinsbacteriophage T7 RNA polymeraseDNA-Directed RNA PolymerasesThymineViral Proteins

Identifiers

PMID22044042
PMCPMC3222776
OpenAlexW2036414055

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.