ReviewCancer & metabolism2016
Integration of omics: more than the sum of its parts.
Review in Cancer & metabolism, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.
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
59 citing papers in PubMed.
- Article
- Implementation science of Yoga: an integrated approach to health and wellness.Frontiers in public health · 2026Review
- Biomedicine and Biotechnology in Space: An Introduction.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Research Progress on Sepsis Diagnosis and Monitoring Based on Omics Technologies: A Review.Diagnostics (Basel, Switzerland) · 2025Review
- Review
- Article
- Intergenerational transmission of complex traits and the offspring methylome.Molecular psychiatry · 2025Article
- A roadmap to precision medicine through post-genomic electronic medical records.Nature communications · 2025Review
- Reposition: Focalizing β-Alanine Metabolism and the Anti-Inflammatory Effects of Its Metabolite Based on Multi-Omics Datasets.International journal of molecular sciences · 2024Article
- Mass Spectrometry-Based Multiomics Identifies Metabolic Signatures of Sarcopenia in Rhesus Monkey Skeletal Muscle.Journal of proteome research · 2024Article
- Fecal microbiota transplantation: current challenges and future landscapes.Clinical microbiology reviews · 2024Review
- Metabolomic and proteomic applications to exercise biomedicine.Translational exercise biomedicine · 2024Review
- A perspective on genetic and polygenic risk scores-advances and limitations and overview of associated tools.Briefings in bioinformatics · 2024Review
- Novel Time-dependent Multi-omics Integration in Sepsis-associated Liver Dysfunction.Genomics, proteomics & bioinformatics · 2023Article
- Modeling of Treatment Outcomes with Tofacitinib Maintenance Therapy in Patients with Ulcerative Colitis: A Post Hoc Analysis of Data from the OCTAVE Clinical Program.Advances in therapy · 2023Article
- MOBILE pipeline enables identification of context-specific networks and regulatory mechanisms.Nature communications · 2023Article
- Molecular insights into sex-specific metabolic alterations in Alzheimer's mouse brain using multi-omics approach.Alzheimer's research & therapy · 2023Article
- Metabolomics: Going Deeper, Going Broader, Going Further.Methods in molecular biology (Clifton, N.J.) · 2023Review
- Missing data in multi-omics integration: Recent advances through artificial intelligence.Frontiers in artificial intelligence · 2023Review
- The Integration of Metabolomics with Other Omics: Insights into Understanding Prostate Cancer.Metabolites · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genome scale data on biological systems has increasingly become available by sequencing of DNA and RNA, and by mass spectrometric quantification of proteins and metabolites. The cellular components from which these -omics regimes are derived act as one integrated system in vivo; thus, there is a natural instinct to integrate -omics data types. Statistical analyses, the use of previous knowledge in the form of networks, and the use of time-resolved measurements are three key design elements for life scientists to consider in planning integrated -omics studies. These design elements are reviewed in the context of multiple recent systems biology studies that leverage data from different types of -omics analyses. While most of these studies rely on well-established model organisms, the concepts for integrating -omics data that were developed in these studies can help to enable systems research in the field of cancer biology.
Indexed as
Identifiers
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.