Evidence map›Paper›PMID 39080329›Full record

ArticleScientific reports2024

A novel integrated extraction protocol for multi-omic studies in heavily degraded samples.

Byron Boggi, Jack D A Sharpen, George Taylor, Konstantina Drosou

Abstract read
In one paragraph

Article in Scientific reports, 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. Review
  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

4 authors.

Byron BoggiFaculty of Biology, Medicine and Health, Division of Cell Matrix Biology and Regenerative Medicine, University of Manchester, Manchester, M13 9PL, UK.
Jack D A SharpenFaculty of Biology, Medicine and Health, Division of Cell Matrix Biology and Regenerative Medicine, University of Manchester, Manchester, M13 9PL, UK.
George TaylorFaculty of Biology, Medicine and Health, Research and Innovation, University of Manchester, Manchester, M13 9PG, UK.
Konstantina DrosouFaculty of Biology, Medicine and Health, Division of Cell Matrix Biology and Regenerative Medicine, University of Manchester, Manchester, M13 9PL, UK. konstantina.drosou@manchester.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The combination of multi-omic techniques, such as genomics, transcriptomics, proteomics, metabolomics and epigenomics, has revolutionised studies in medical research. These techniques are employed to support biomarker discovery, better understand molecular pathways and identify novel drug targets. Despite concerted efforts in integrating omic datasets, there is an absence of protocols that integrate all four biomolecules in a single extraction process. Here, we demonstrate for the first time a minimally destructive integrated protocol for the simultaneous extraction of artificially degraded DNA, proteins, lipids and metabolites from pig brain samples. We used an MTBE-based approach to separate lipids and metabolites, followed by subsequent isolation of DNA and proteins. We have validated this protocol against standalone extraction protocols and show comparable or higher yields of all four biomolecules. This integrated protocol is key to facilitating the preservation of irreplaceable samples while promoting downstream analyses and successful data integration by removing bias from univariate dataset noise and varied distribution characteristics.

Indexed as

MultiomicsAnimalsBrainDNAGenomicsLipidsMetabolomicsProteinsProteomicsSwineDNALipidsProteinsAncient DNA (aDNA)Degraded DNAEvolutionary biologyIntegrated extraction protocolMulti-omic protocol

Identifiers

PMID39080329
PMCPMC11289452

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.