Evidence map›Paper›PMID 37166645›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2023

Digital RNase Footprinting of RNA-Protein Complexes and Ribosomes in Mitochondria.

Danielle L Rudler, Stefan J Siira, Oliver Rackham, Aleksandra Filipovska

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 87% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 3 institutions in 1 country.

Danielle L RudlerHarry Perkins Institute of Medical Research and ARC Centre of Excellence in Synthetic Biology, QEII Medical Centre, Nedlands, WA, Australia.
Stefan J SiiraHarry Perkins Institute of Medical Research and ARC Centre of Excellence in Synthetic Biology, QEII Medical Centre, Nedlands, WA, Australia.
Oliver RackhamHarry Perkins Institute of Medical Research and ARC Centre of Excellence in Synthetic Biology, QEII Medical Centre, Nedlands, WA, Australia.
Aleksandra FilipovskaHarry Perkins Institute of Medical Research and ARC Centre of Excellence in Synthetic Biology, QEII Medical Centre, Nedlands, WA, Australia. aleksandra.filipovska@uwa.edu.au.
Queen Elizabeth II Medical Centre · AUARC Centre of Excellence in Synthetic Biology · AUHarry Perkins Institute of Medical Research · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA-binding proteins and mitochondrial ribosomes have been found to be linchpins of mitochondrial gene expression in health and disease. The expanding repertoire of proteins that bind and regulate the mitochondrial transcriptome has necessitated the development of new tools and methods to examine their molecular functions. Next-generation sequencing technologies have advanced the RNA biology field through application of high-throughput methods to study RNA-protein interactions. Here we describe a digital RNase footprinting method to analyze protein and ribosome interactions with mitochondrially encoded transcripts that provides insight into their mechanisms and minimal binding sites. We provide details on RNase digestion and next-generation sequencing, along with computational analyses and visualization of the binding targets within the mitochondrial transcriptome.

Indexed as

RibonucleasesRibosomesEndoribonucleasesMitochondriaMitochondrial RibosomesRibonuclease, PancreaticRNAEndoribonucleasesRibonuclease, PancreaticRibonucleasesRNABioinformaticsFootprintingMitoribosomemtDNARNA-binding proteinsRNA-Seq

Identifiers

PMID37166645
OpenAlexW4376133236

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.