Evidence map›Paper›PMID 38509097›Full record

ArticleNature communications2024

A universal molecular control for DNA, mRNA and protein expression.

Helen M Gunter, Scott E Youlten, Andre L M Reis, Tim McCubbin, Bindu Swapna Madala, Ted Wong, Igor Stevanovski, Arcadi Cipponi, Ira W Deveson, Nadia S Santini and 4 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

14 authors.

Helen M GunterAustralian Institute of Bioengineering and Nanotechnology, The University of Queensland, Brisbane, Queensland, Australia.
Scott E YoultenDepartment of Genetics, Yale University School of Medicine, New Haven, CT, 06510, USA.
Andre L M ReisGenomics and Inherited Disease Program, Garvan Institute of Medical Research, Sydney, New South Wales, Australia.ORCID 0000-0002-7300-1157
Tim McCubbinAustralian Institute of Bioengineering and Nanotechnology, The University of Queensland, Brisbane, Queensland, Australia.ORCID 0000-0002-9707-6532
Bindu Swapna MadalaGarvan Institute of Medical Research, Sydney, New South Wales, Australia.
Ted WongGarvan Institute of Medical Research, Sydney, New South Wales, Australia.
Igor StevanovskiGenomics and Inherited Disease Program, Garvan Institute of Medical Research, Sydney, New South Wales, Australia.ORCID 0000-0002-7713-1979
Arcadi CipponiGarvan Institute of Medical Research, Sydney, New South Wales, Australia.
Ira W DevesonGenomics and Inherited Disease Program, Garvan Institute of Medical Research, Sydney, New South Wales, Australia.
Nadia S SantiniCentro Nacional de Investigación Disciplinaria en Conservación y Mejoramiento de Ecosistemas Forestales, INIFAP, Ciudad de México, 04010, Mexico.
Sarah KummerfeldGarvan Institute of Medical Research, Sydney, New South Wales, Australia.
Peter I CroucherGarvan Institute of Medical Research, Sydney, New South Wales, Australia.ORCID 0000-0002-7102-2413
Esteban MarcellinAustralian Institute of Bioengineering and Nanotechnology, The University of Queensland, Brisbane, Queensland, Australia.ORCID 0000-0003-3173-7956
Tim R MercerAustralian Institute of Bioengineering and Nanotechnology, The University of Queensland, Brisbane, Queensland, Australia. t.mercer@uq.edu.au.ORCID 0000-0001-8780-894X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The expression of genes encompasses their transcription into mRNA followed by translation into protein. In recent years, next-generation sequencing and mass spectrometry methods have profiled DNA, RNA and protein abundance in cells. However, there are currently no reference standards that are compatible across these genomic, transcriptomic and proteomic methods, and provide an integrated measure of gene expression. Here, we use synthetic biology principles to engineer a multi-omics control, termed pREF, that can act as a universal molecular standard for next-generation sequencing and mass spectrometry methods. The pREF sequence encodes 21 synthetic genes that can be in vitro transcribed into spike-in mRNA controls, and in vitro translated to generate matched protein controls. The synthetic genes provide qualitative controls that can measure sensitivity and quantitative accuracy of DNA, RNA and peptide detection. We demonstrate the use of pREF in metagenome DNA sequencing and RNA sequencing experiments and evaluate the quantification of proteins using mass spectrometry. Unlike previous spike-in controls, pREF can be independently propagated and the synthetic mRNA and protein controls can be sustainably prepared by recipient laboratories using common molecular biology techniques. Together, this provides a universal synthetic standard able to integrate genomic, transcriptomic and proteomic methods.

Indexed as

DNAProteomicsGenomicsRNARNA, MessengerDNARNARNA, Messenger

Identifiers

PMID38509097
PMCPMC10954659

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.