Evidence map›Paper›PMID 40545987›Full record

ReviewProteomics2025

Sample Preparation for Multi-Omics Analysis: Considerations and Guidance for Identifying the Ideal Workflow.

Breyer Woodland, Luke A Farrell, Lana Brockbals, Maria Rezcallah, Aiden Brennan, Emily J Sunnucks, Sam T Gould, Aleksandra M Stanczak, Matthew B O'Rourke, Matthew P Padula

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Proteomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Review
  8. Article
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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

10 authors.

Breyer WoodlandSchool of Life Sciences and Proteomics, Lipidomics and Metabolomics Core Facility, Faculty of Science, University of Technology Sydney, Ultimo, New South Wales, Australia.
Luke A FarrellSchool of Life Sciences and Proteomics, Lipidomics and Metabolomics Core Facility, Faculty of Science, University of Technology Sydney, Ultimo, New South Wales, Australia.
Lana BrockbalsDepartment of Forensic Pharmacology and Toxicology, Institute of Forensic Medicine, University of Zurich, Zurich, Switzerland.
Maria RezcallahAustralian Institute for Microbiology and Infection, Faculty of Science, University of Technology Sydney, Ultimo, New South Wales, Australia.
Aiden BrennanSchool of Life Sciences and Proteomics, Lipidomics and Metabolomics Core Facility, Faculty of Science, University of Technology Sydney, Ultimo, New South Wales, Australia.
Emily J SunnucksCentre for Forensic Sciences, School of Mathematical and Physical Sciences, University of Technology Sydney, Ultimo, New South Wales, Australia.
Sam T GouldSchool of Life Sciences and Proteomics, Lipidomics and Metabolomics Core Facility, Faculty of Science, University of Technology Sydney, Ultimo, New South Wales, Australia.
Aleksandra M StanczakAustralian Institute for Microbiology and Infection, Faculty of Science, University of Technology Sydney, Ultimo, New South Wales, Australia.
Matthew B O'RourkeSchool of Life Sciences and Proteomics, Lipidomics and Metabolomics Core Facility, Faculty of Science, University of Technology Sydney, Ultimo, New South Wales, Australia.
Matthew P PadulaSchool of Life Sciences and Proteomics, Lipidomics and Metabolomics Core Facility, Faculty of Science, University of Technology Sydney, Ultimo, New South Wales, Australia.ORCID 0000-0002-8283-0643

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advances in methodologies and technologies over the past decade have led to an unprecedented depth of analysis of a cell's biomolecules, with entire genomes able to be sequenced in hours and up to 10,000 transcripts or ORF products (proteins) able to be quantified from a single cell. Methods for analysing individual omes are now optimised, reliable and robust but are often performed in isolation with other biomolecules considered contaminants. However, there is a growing body of systems biology studies that aim to study multiple omes from the same sample. This review details the current state of the "multi-omics" field, trying to define what the field is, the methodologies employed and the challenges facing researchers in this field. It also critically evaluates whether these approaches are "fit-for-purpose" and how the field needs to evolve to enhance our understanding of how biomolecules from distinct omes interact with one another to alter cellular phenotype in response to change.

Indexed as

GenomicsProteomicsSystems BiologyAnimalsHumansMultiomicsSingle-Cell AnalysisWorkflowcomparative proteomics < Technologymetabolomics < Technologymulti‐omicssample preparation < Technologysystems biology

Identifiers

PMID40545987
PMCPMC12645817

What Socratic 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 Socratic graph.