Evidence map›Paper›PMID 37356780›Full record

ArticleMethods (San Diego, Calif.)2023

Global Run-On sequencing to measure nascent transcription in Saccharomyces cerevisiae.

Michael J O'Brien, Katherine Gurdziel, Athar Ansari

Abstract read
In one paragraph

Article in Methods (San Diego, Calif.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
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

3 authors.

Michael J O'BrienDepartment of Biological Science, Wayne State University, Detroit, MI 48202, USA.
Katherine GurdzielGenome Sciences Core, Wayne State University, Detroit, MI 48202, USA.
Athar AnsariDepartment of Biological Science, Wayne State University, Detroit, MI 48202, USA. Electronic address: bb2749@wayne.edu.

Funding

A new paradigm of general transcription factor TFIIB functionality in termination and promoter directionalityR01GM146803 · NIGMS · WAYNE STATE UNIVERSITY · PI Athar Imtiaz Ansari · 2022 to 2026
$1.6M
NIGMS NIH HHS R01 GM146803
6 · The paper itself

Abstract

Global Run-On sequencing is a reliable and widely used approach for monitoring nascent transcription on a genomewide scale. The assay has been successfully used for studying global transcription in humans, plants, worms, flies, and fission yeast. Here we describe a GRO-seq protocol for studying transcription in budding yeast, Saccharomyces cerevisiae. Briefly, the technique involves permeabilization of actively growing yeast cells, allowing transcription to proceed in permeabilized cells in the presence of brominated UTP, affinity purification of bromo-UMP incorporated nascent transcripts followed by cDNA library construction, deep sequencing, and mapping against the reference genome. The approach maps the position of transcriptionally active RNA polymerase on a genomewide basis. In addition to identifying the complete set of transcriptionally active genes in a cell under a given set of conditions, the method can be used to determine elongation rate, termination defect and promoter directionality at the genomewide level. The approach is especially useful in identifying short-lived unstable transcripts that are rapidly degraded even before they leave the nucleus.

Indexed as

Saccharomyces cerevisiaeTranscription, GeneticCell NucleusDNA-Directed RNA PolymerasesHumansRNA Polymerase IISequence Analysis, RNADNA-Directed RNA PolymerasesRNA Polymerase IINascent RNARNA polymeraseSequencingTranscription directionalityTranscription initiationTranscription Run-OnTranscription termination

Identifiers

PMID37356780
PMCPMC10529987

What OpenQuestion holds

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Registered trials

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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.