ArticleJournal of proteome research2018
An Integrated, High-Throughput Strategy for Multiomic Systems Level Analysis.
Article in Journal of proteome research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Recent Advanced Technologies for the Characterization of Xenobiotic-Degrading Microorganisms and Microbial Communities.Frontiers in bioengineering and biotechnology · 2021Pooled it
- Optimizing multiomics sample preparation: comparative evaluation of extraction protocols for HepG2 cells.Analytical and bioanalytical chemistry · 2026Article
- Rapid detection of ricin at trace levels in complex matrices by asialofetuin-coated beads and bottom-up proteomics using high-resolution mass spectrometry.Analytical and bioanalytical chemistry · 2024Article
- A single-sample workflow for joint metabolomic and proteomic analysis of clinical specimens.Clinical proteomics · 2024Article
- Biodiversity and Functional Attributes of Rhizospheric Microbiomes: Potential Tools for Sustainable Agriculture.Current microbiology · 2023Review
- Rapid Multi-Omics Sample Preparation for Mass Spectrometry.Analytical chemistry · 2023Article
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- Microbe-assisted phytoremediation of environmental pollutants and energy recycling in sustainable agriculture.Archives of microbiology · 2021Review
- Developing mass spectrometry for the quantitative analysis of neuropeptides.Expert review of proteomics · 2021Review
- A rigorous evaluation of optimal peptide targets for MS-based clinical diagnostics of Coronavirus Disease 2019 (COVID-19).Clinical proteomics · 2021Article
- A rigorous evaluation of optimal peptide targets for MS-based clinical diagnostics of Coronavirus Disease 2019 (COVID-19).medRxiv : the preprint server for health sciences · 2021Article
- Recurrent Topics in Mass Spectrometry-Based Metabolomics and Lipidomics-Standardization, Coverage, and Throughput.Analytical chemistry · 2021Review
- Spatially Targeted Proteomics of the Host-Pathogen Interface during Staphylococcal Abscess Formation.ACS infectious diseases · 2021Article
- Translational Roadmap for the Organs-on-a-Chip Industry toward Broad Adoption.Bioengineering (Basel, Switzerland) · 2020Review
- Article
- Integration of Metabolomic and Other Omics Data in Population-Based Study Designs: An Epidemiological Perspective.Metabolites · 2019Review
- Zinc intoxication induces ferroptosis in A549 human lung cells.Metallomics : integrated biometal science · 2019Article
Corrections and comments
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Authors and funding
15 authors.
Funding
Abstract
Proteomics, metabolomics, and transcriptomics generate comprehensive data sets, and current biocomputational capabilities allow their efficient integration for systems biology analysis. Published multiomics studies cover methodological advances as well as applications to biological questions. However, few studies have focused on the development of a high-throughput, unified sample preparation approach to complement high-throughput omic analytics. This report details the automation, benchmarking, and application of a strategy for transcriptomic, proteomic, and metabolomic analyses from a common sample. The approach, sample preparation for multi-omics technologies (SPOT), provides equivalent performance to typical individual omic preparation methods but greatly enhances throughput and minimizes the resources required for multiomic experiments. SPOT was applied to a multiomics time course experiment for zinc-treated HL-60 cells. The data reveal Zn effects on NRF2 antioxidant and NFkappaB signaling. High-throughput approaches such as these are critical for the acquisition of temporally resolved, multicondition, large multiomic data sets such as those necessary to assess complex clinical and biological concerns. Ultimately, this type of approach will provide an expanded understanding of challenging scientific questions across many fields.
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What OpenQuestion holds
Registered trials
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.