Evidence map›Paper›PMID 34382182›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2021

Global Run-on Sequencing (GRO-Seq).

Petros Tzerpos, Bence Daniel, Laszlo Nagy

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2021. 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. Review
  2. Review
  3. Cis-Regulatory Elements in Mammals.International journal of molecular sciences · 2023
    Review
  4. 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

3 authors.

Petros TzerposDepartment of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Bence DanielDepartments of Medicine and Biological Chemistry, Johns Hopkins University School of Medicine, Institute for Fundamental Biomedical Research, Johns Hopkins All Children's Hospital, St. Petersburg, FL, USA.
Laszlo NagyDepartment of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary. lnagy@jhmi.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Post-transcriptional processing strongly affects the stability and the relative quantification of RNA molecules, so that steady-state levels of mature RNA, such as mRNAs, rarely reflect accurately the rate of in situ transcription in nuclei by RNA polymerases (RNAPs). The "Global Run-on Sequencing (GRO-Seq)" method, developed in 2008, combines the nuclear run-on assay with next-generation deep sequencing to detect nascent RNA levels to annotate the positions, the relative levels and the orientation of transcriptionally engaged RNA polymerase II (RNAPII) molecules genome-wide. Thus, GRO-Seq is a powerful method to infer mechanistic insights into the multiple levels of transcriptional regulation such as promoter-proximal pausing of RNAP, bidirectional transcription, and enhancer activity. Here, we describe a protocol for mammalian cells that can reliably detect low abundant nascent RNA from both coding and noncoding genomic regions. This protocol can easily be adapted for most mammalian cells to define the transcriptionally active regions of the genome and to measure dynamic transcriptional responses with high sensitivity upon external stimuli.

Indexed as

Transcription, GeneticEnhancer Elements, GeneticHigh-Throughput Nucleotide SequencingPolymerase Chain ReactionPromoter Regions, GeneticQuality ControlRNARNA Polymerase IIRNA, UntranslatedSequence Analysis, RNARNARNA Polymerase IIRNA, UntranslatedEnhancer RNAmRNANascent RNANoncoding RNANuclear run-onPromoter RNARNA polymeraseTranscription

Identifiers

What OpenQuestion holds

Textmetadata
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.