Evidence map›Paper›PMID 30844430›Full record

ArticleMethods (San Diego, Calif.)2019

In vitro assembly and proteomic analysis of RNA polymerase II complexes.

Yoo Jin Joo, Scott B Ficarro, Jarrod A Marto, Stephen Buratowski

Abstract read
In one paragraph

Article in Methods (San Diego, Calif.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Yoo Jin JooDepartment of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA, United States.
Scott B FicarroDepartment of Cancer Biology, Dana Farber Cancer Institute, Harvard Medical School, Boston, MA, United States; Blais Proteomics Center, Dana Farber Cancer Institute, Harvard Medical School, Boston, MA, United States.
Jarrod A MartoDepartment of Cancer Biology, Dana Farber Cancer Institute, Harvard Medical School, Boston, MA, United States; Blais Proteomics Center, Dana Farber Cancer Institute, Harvard Medical School, Boston, MA, United States.
Stephen BuratowskiDepartment of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA, United States. Electronic address: steveb@hms.harvard.edu.

Funding

The RNA Polymerase II Transcription CycleR01GM056663 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI Stephen Buratowski · 1999 to 2026
$11.7M
The RNA polymerase II transcription complexR01GM046498 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI BURATOWSKI, STEPHEN · 1996 to 2024
$9.4M
NIGMS NIH HHS R01 GM046498NIGMS NIH HHS R01 GM056663
6 · The paper itself

Abstract

The RNA polymerase II (RNApII) transcription cycle consists of multiple steps involving dozens of protein factors. Here we describe a useful approach to study the dynamics of initiation and early elongation, comprising an in vitro transcription system in which complexes are assembled on immobilized DNA templates and analyzed by quantitative mass spectrometry. This unbiased screening system allows quantitation of RNApII complex components on either naked DNA or chromatin templates. In addition to transcription, the system reproduces co-transcriptional mRNA capping and multiple transcription-related histone modifications. In combination with other biochemical and genetic methods, this approach can provide insights into the mechanistic details of gene expression by RNApII.

Indexed as

ProteomicsTranscription, GeneticMass SpectrometryMultiprotein ComplexesRNA Polymerase IISaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsMultiprotein ComplexesRNA Polymerase IISaccharomyces cerevisiae Proteins

Identifiers

PMID30844430
PMCPMC6589106

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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.