Evidence map›Paper›PMID 18570883›Full record

ArticleAnalytical biochemistry2008

Imaging and analysis of transcription on large, surface-mounted single template DNA molecules.

Hua Yu, David C Schwartz

Abstract read
In one paragraph

Article in Analytical biochemistry, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. 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.

Hua YuDepartment of Chemistry, Laboratory for Molecular and Computational Genomics, University of Wisconsin-Madison, UW Biotechnology Center, 425 Henry Mall, Madison, WI 53706, USA.
David C Schwartz

Funding

NEW PHYSICAL METHODOLOGIES FOR GENOMIC ANALYSISR01HG000225 · NHGRI · UNIVERSITY OF WISCONSIN-MADISON · PI SCHWARTZ, DAVID C. · 1991 to 2014
$5.2M
NHGRI NIH HHS R01 HG000225
6 · The paper itself

Abstract

A surface-based approach is described for the transcriptional analysis of large, single DNA molecule templates and their imaged reaction products using RNA polymerase (RNAP). Results demonstrated that surfaces with a charge density supporting stretching of single DNA molecules to 70-80% of their full contour length were ideal for analysis of T7 RNAP transcription complexes on bound single template DNAs. Such DNA molecules were shown to sustain efficient transcription reactions and analysis, which enabled localization of transcription complexes on templates at kilobase resolution. Direct labeling of nascent RNA transcripts by the incorporation of a second fluorochrome into DNA templates promotes more robust and sensitive detection of punctates. Further characterization by RNase digestions, atomic force microscopy studies, and fluoro-immunolabeling revealed a "supercomplex" structure within a punctate where elongation complexes aggregate through entanglement of DNA and RNA strands from individual ternary elongation complexes. We have proposed mechanisms that underlie the supercomplex formation process. Whereas supercomplexes develop naturally in free solution, spatial constraints involved in a topologically limited system where template DNA is bound to the surface may facilitate the assembling process by stalling transcriptional elongation.

Indexed as

Transcription, GeneticDNADNA-Directed RNA PolymerasesFluorescent DyesHydrophobic and Hydrophilic InteractionsMicroscopy, Atomic ForceNucleic Acid ConformationNucleotidesPromoter Regions, GeneticRibonucleasesSensitivity and SpecificitySurface PropertiesTemplates, GeneticDNADNA-Directed RNA PolymerasesFluorescent DyesNucleotidesRibonucleases

Identifiers

PMID18570883
PMCPMC2561992

What OpenQuestion holds

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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.