Evidence map›Paper›PMID 39382659›Full record

ArticleAnalytical chemistry2024

The Addition of Transcriptomics to the Bead-Enabled Accelerated Monophasic Multi-Omics Method: A Step toward Universal Sample Preparation.

Joshua D Breidenbach, Emilio S Rivera, Tara Harvey, Abigale S Mikolitis, Chi Yen Tseng, Claire K Sanders, Emilia Solomon, Cheryl D Gleasner, M Grace Thornhill, Kes A Luchini and 5 more

Abstract read
In one paragraph

Article in Analytical chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Evaluation of normalization strategies for mass spectrometry-based multi-omics datasets.Metabolomics : Official journal of the Metabolomic Society · 2025
    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

15 authors.

Joshua D BreidenbachBiochemistry and Biotechnology Group, Bioscience Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States.ORCID 0000-0002-5892-1879
Emilio S RiveraBiochemistry and Biotechnology Group, Bioscience Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States.
Tara HarveyBiochemistry and Biotechnology Group, Bioscience Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States.
Abigale S MikolitisBiochemistry and Biotechnology Group, Bioscience Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States.
Chi Yen TsengBiochemistry and Biotechnology Group, Bioscience Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States.
Claire K SandersMicrobial and Biome Sciences Group, Bioscience Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States.
Emilia SolomonBiochemistry and Biotechnology Group, Bioscience Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States.
Cheryl D GleasnerGenomics and Bioanalytics Group, Bioscience Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States.
M Grace ThornhillBiochemistry and Biotechnology Group, Bioscience Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States.
Kes A LuchiniBiochemistry and Biotechnology Group, Bioscience Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States.
Ethan M McBrideBiochemistry and Biotechnology Group, Bioscience Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States.
Brett R BlackwellBiochemistry and Biotechnology Group, Bioscience Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States.ORCID 0000-0003-1296-4539
Erick S LeBrunBiochemistry and Biotechnology Group, Bioscience Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States.
Phillip M MachBiochemistry and Biotechnology Group, Bioscience Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States.
Trevor G GlarosBiochemistry and Biotechnology Group, Bioscience Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States.ORCID 0000-0001-9922-6330

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Omics-based measurements enable the study of biomolecules in a high-throughput fashion, leading to the characterization and quantification of biological systems. Multi-omics methods aim to incorporate several omics measurements for a more holistic approach, which is crucial for advancing our understanding of the diversity and redundancy of biological systems. Current multi-omics sample preparation methods have achieved proteomics, lipidomics, and metabolomics from individual samples; however, the bioinformatic tools currently available for interpreting data generated from these omics are limited. Alternately, transcriptomics has a wide arsenal of available bioinformatic tools offering intensive sample characterization but has yet to be incorporated into a unified, multi-omics sample preparation technique. Herein we describe the modified bead-enabled accelerated monophasic multi-omics (mBAMM) method, which incorporates RNA extraction for transcriptomics analysis. mBAMM was shown to enable RNA-seq without compromising the isolation of biomolecules for proteomics, lipidomics, and metabolomics. This methodology greatly improves sample characterization and represents a major innovation toward cohesive insights into biological systems.

Indexed as

MetabolomicsGene Expression ProfilingHumansLipidomicsMultiomicsProteomicsRNATranscriptomeRNA

Identifiers

PMID39382659
PMCPMC11579973

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.