Evidence map›Paper›PMID 36082371›Full record

ArticleBio-protocol2022

Visualization, Quantification, and Modeling of Endogenous RNA Polymerase II Phosphorylation at a Single-copy Gene in Living Cells.

Linda S Forero-Quintero, William Raymond, Brian Munsky, Timothy J Stasevich

Open access · greenAbstract read
In one paragraph

Article in Bio-protocol, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 57% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

4 authors at 1 institution in 1 country.

Linda S Forero-QuinteroDepartment of Chemical and Biological Engineering, Colorado State University, Fort Collins, CO 80523, USA.
William RaymondSchool of Biomedical Engineering, Colorado State University, Fort Collins, CO 80523, USA.
Brian MunskyDepartment of Chemical and Biological Engineering, Colorado State University, Fort Collins, CO 80523, USA.
Timothy J StasevichDepartment of Biochemistry and Molecular Biology, Colorado State University, Fort Collins, CO 80523, USA.
Colorado State University · US

Funding

Quantifying the coordinated dynamics of single-gene transcription and translation in living cellsR35GM119728 · NIGMS · COLORADO STATE UNIVERSITY · PI Timothy Stasevich · 2016 to 2026
$4.2M
Using cellular fluctuations and computational analyses to probe biological mechanismsR35GM124747 · NIGMS · COLORADO STATE UNIVERSITY · PI Brian Munsky · 2017 to 2026
$3.3M
NIGMS NIH HHS R35 GM119728NIGMS NIH HHS R35 GM124747
6 · The paper itself

Abstract

In eukaryotic cells, RNA Polymerase II (RNAP2) is the enzyme in charge of transcribing mRNA from DNA. RNAP2 possesses an extended carboxy-terminal domain (CTD) that gets dynamically phosphorylated as RNAP2 progresses through the transcription cycle, therefore regulating each step of transcription from recruitment to termination. Although RNAP2 residue-specific phosphorylation has been characterized in fixed cells by immunoprecipitation-based assays, or in live cells by using tandem gene arrays, these assays can mask heterogeneity and limit temporal and spatial resolution. Our protocol employs multi-colored complementary fluorescent antibody-based (Fab) probes to specifically detect the CTD of the RNAP2 (CTD-RNAP2), and its phosphorylated form at the serine 5 residue (Ser5ph-RNAP2) at a single-copy HIV-1 reporter gene. Together with high-resolution fluorescence microscopy, single-molecule tracking analysis, and rigorous computational modeling, our system allows us to visualize, quantify, and predict endogenous RNAP2 phosphorylation dynamics and mRNA synthesis at a single-copy gene, in living cells, and throughout the transcription cycle. Graphical abstract: Schematic of the steps for visualizing, quantifying, and predicting RNAP2 phosphorylation at a single-copy gene.

Indexed as

Computational modellingFluorescence microscopyFluorescent antibody-based probesRNA Polymerase II phosphorylationSingle-copy geneTranscriptionTranscription clusters

Identifiers

PMID36082371
PMCPMC9411018
OpenAlexW4295079425

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.