Evidence map›Paper›PMID 36125752›Full record

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

ChIP-Seq Occupancy Mapping of the Archaeal Transcription Machinery.

Fabian Blombach, Kathy L Smollett, Finn Werner

Abstract read
PubMed Publisher
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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
2.0field-weighted citation impact, top 13% 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, 4 citations in OpenAlex.

  1. 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 at 2 institutions in 1 country.

Fabian BlombachInstitute of Structural and Molecular Biology, Division of Biosciences, University College London, London, UK. f.blombach@ucl.ac.uk.
Kathy L SmollettInstitute of Structural and Molecular Biology, Division of Biosciences, University College London, London, UK.
Finn WernerInstitute of Structural and Molecular Biology, Division of Biosciences, University College London, London, UK. f.werner@ucl.ac.uk.
University College London · GBInstitute of Structural and Molecular Biology · GB

Funding

Wellcome Trust 207446/Z/17/Z
6 · The paper itself

Abstract

Genome-wide occupancy studies for RNA polymerases and their basal transcription factors deliver information about transcription dynamics and the recruitment of transcription elongation and termination factors in eukaryotes and prokaryotes. The primary method to determine genome-wide occupancies is chromatin immunoprecipitation combined with deep sequencing (ChIP-seq). Archaea possess a transcription machinery that is evolutionarily closer related to its eukaryotic counterpart but it operates in a prokaryotic cellular context. Studies on archaeal transcription brought insight into the evolution of transcription machineries and the universality of transcription mechanisms. Because of the limited resolution of ChIP-seq, the close spacing of promoters and transcription units found in archaeal genomes pose a challenge for ChIP-seq and the ensuing data analysis. The extreme growth temperature of many established archaeal model organisms necessitates further adaptations. This chapter describes a version of ChIP-seq adapted for the basal transcription machinery of thermophilic archaea and some modifications to the data analysis.

Indexed as

ArchaeaChromatin Immunoprecipitation SequencingDNA-Directed RNA PolymerasesGenome, ArchaealTranscription FactorsDNA-Directed RNA PolymerasesTranscription FactorsArchaeaChIP-exoChIP-seqChromatin immunoprecipitationRNA polymeraseSaccharolobusSulfolobusTFBTFETranscription

Identifiers

PMID36125752
OpenAlexW4296501237

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.