Evidence map›Paper›PMID 35796984›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Preparation of RNA Polymerase Complexes for Their Analysis by Single-Particle Cryo-Electron Microscopy.

Michael Pilsl, Florian B Heiss, Gisela Pöll, Mona Höcherl, Philipp Milkereit, Christoph Engel

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. 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

6 authors.

Michael PilslRegensburg Center for Biochemistry (RCB), University of Regensburg, Regensburg, Germany.
Florian B HeissRegensburg Center for Biochemistry (RCB), University of Regensburg, Regensburg, Germany.
Gisela PöllRegensburg Center for Biochemistry (RCB), University of Regensburg, Regensburg, Germany.
Mona HöcherlRegensburg Center for Biochemistry (RCB), University of Regensburg, Regensburg, Germany.
Philipp MilkereitRegensburg Center for Biochemistry (RCB), University of Regensburg, Regensburg, Germany.
Christoph EngelRegensburg Center for Biochemistry (RCB), University of Regensburg, Regensburg, Germany. christoph.engel@ur.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent technological progress revealed new prospects of high-resolution structure determination of macromolecular complexes using cryo-electron microscopy (cryo-EM) . In the field of RNA polymerase (Pol) I research, a number of cryo-EM studies contributed to understanding the highly specialized mechanisms underlying the transcription of ribosomal RNA genes . Despite a broad applicability of the cryo-EM method itself, preparation of samples for high-resolution data collection can be challenging. Here, we describe strategies for the purification and stabilization of Pol I complexes, exemplarily considering advantages and disadvantages of the methodology. We further provide an easy-to-implement protocol for the coating of EM-grids with self-made carbon support films. In sum, we present an efficient workflow for cryo-grid preparation and optimization, including early stage cryo-EM screening that can be adapted to a wide range of soluble samples for high-resolution structure determination .

Indexed as

DNA-Directed RNA PolymerasesCryoelectron MicroscopyMacromolecular SubstancesDNA-Directed RNA PolymerasesMacromolecular SubstancesGrid preparationNegative stainingPlunge freezingPreparation of transcription complexesRNA polymerase ISingle-particle cryo-electron microscopy

Identifiers

PMID35796984
PMCPMC9761500

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.