Evidence map›Paper›PMID 33659319›Full record

ArticleBio-protocol2020

Electrophoretic Mobility Shift Assay of

Joshua E Mayfield, Seema Irani, Yan Zhang

Open access · hybridAbstract read
In one paragraph

Article in Bio-protocol, 2020. 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 56% 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, 2 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

3 authors at 1 institution in 1 country.

Joshua E MayfieldDepartment of Molecular Biosciences, the University of Texas at Austin, Austin, TX, United States.
Seema IraniDepartment of Chemical Engineering, the University of Texas at Austin, Austin, TX, United States.
Yan ZhangDepartment of Molecular Biosciences, the University of Texas at Austin, Austin, TX, United States.
The University of Texas at Austin · US

Funding

Gene-specific transcriptional silencing directed by dephosphorylation of RNAP IIR01GM104896 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI ZHANG, YAN JESSIE · 2013 to 2022
$2.4M
Interpretation of the phosphorylation code of RNA polymerase II during eukaryotic transcriptionR01GM125882 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI BRODBELT, JENNIFER S., ZHANG, YAN JESSIE · 2018 to 2021
$1.4M
NIGMS NIH HHS R01 GM104896NIGMS NIH HHS R01 GM125882
6 · The paper itself

Abstract

Eukaryotic RNA polymerase II transcribes all protein-coding mRNAs and is highly regulated. A key mechanism directing RNA polymerase II and facilitating the co-transcriptional processing of mRNAs is the phosphorylation of its highly repetitive carboxyl-terminal domain (CTD) of its largest subunit, RPB1, at specific residues. A variety of techniques exist to identify and quantify the degree of CTD phosphorylation, including phosphorylation-specific antibodies and mass spectrometry. Electrophoretic mobility shift assays (EMSAs) have been utilized since the discovery of CTD phosphorylation and continue to represent a simple, direct, and widely applicable approach for qualitatively monitoring CTD phosphorylation. We present a standardized method for EMSA analysis of recombinant GST-CTD substrates phosphorylated by a variety of CTD kinases. Strategies to analyze samples under both denatured/reduced and semi-native conditions are provided. This method represents a simple, direct, and reproducible means to monitor CTD phosphorylation in recombinant substrates utilizing equipment common to molecular biology labs and readily applicable to downstream analyses including immunoblotting and mass spectrometry.

Indexed as

CTD CodeKinasemRNAPhosphorylationRNA polymerase IITranscription

Identifiers

PMID33659319
PMCPMC7842589
OpenAlexW3036652914

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.