ReviewMethods (San Diego, Calif.)2019
Analysis of post-transcriptional RNA metabolism in prokaryotes.
Review 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 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed, 7 citations in OpenAlex.
- Condition-dependent expression of CotA laccase in Bacillus licheniformis reveals sporulation-linked activity and associated pigment formation.Archives of microbiology · 2026Article
- The C nucleotide at the mature 5' end of the Escherichia coli proline tRNAs is required for the RNase E cleavage specificity at the 3' terminus as well as functionality.Nucleic acids research · 2022Article
- Inactivation of RNase P in Escherichia coli significantly changes post-transcriptional RNA metabolism.Molecular microbiology · 2022Article
- mRNA Metabolism in Cardiac Development and Disease: Life After Transcription.Physiological reviews · 2020Review
- Generation of pre-tRNAs from polycistronic operons is the essential function of RNase P in Escherichia coli.Nucleic acids research · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Post-transcriptional RNA metabolic pathways play important roles in permitting prokaryotes to operate under a variety of environmental conditions. Although significant progress has been made during the last decade in deciphering RNA processing pathways in a number of bacteria, a complete understanding of post-transcriptional RNA metabolism in any single microorganism is far from reality. Here we describe multiple experimental approaches that can be used to study mRNA stability, tRNA and rRNA processing, sRNA metabolism, and polyadenylation in prokaryotes. The methods described here can be readily utilized in both Gram-negative and Gram-positive bacteria with simple modifications.
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Identifiers
What OpenQuestion holds
Registered trials
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.