ReviewMolecular & cellular proteomics : MCP2019
Exploiting Interdata Relationships in Next-generation Proteomics Analysis.
Review in Molecular & cellular proteomics : MCP, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses 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
24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 47 citations in OpenAlex.
- Integration ofFrontiers in immunology · 2023Pooled it
- In Vitro Oxygen Glucose Deprivation Model of Ischemic Stroke: A Proteomics-Driven Systems Biological Perspective.Molecular neurobiology · 2022Pooled it
- Phenotypic AI-based design of cell-specific small molecule cytotoxics.Communications chemistry · 2026Article
- Sample size requirements for machine learning classification of binary outcomes in bulk RNA-Seq data.BMC bioinformatics · 2026Article
- Omics and Multiomics-Based Diagnostics for Invasive Candidiasis: Toward Precision Medicine.Molecular & cellular proteomics : MCP · 2025Review
- Review
- Integration of a multi-omics stem cell differentiation dataset using a dynamical model.PLoS genetics · 2023Article
- Cntnap2-dependent molecular networks in autism spectrum disorder revealed through an integrative multi-omics analysis.Molecular psychiatry · 2023Article
- Integrating and formatting biomedical data as pre-calculated knowledge graph embeddings in the Bioteque.Nature communications · 2022Article
- Identifying causal genes for depression via integration of the proteome and transcriptome from brain and blood.Molecular psychiatry · 2022Article
- To the proteome and beyond: advances in single-cell omics profiling for plant systems.Plant physiology · 2022Article
- New horizons in the stormy sea of multimodal single-cell data integration.Molecular cell · 2022Review
- Molecular Subtyping of Cancer Based on Distinguishing Co-Expression Modules and Machine Learning.Frontiers in genetics · 2022Article
- Multi-Omics Approach to Elucidate Cerebrospinal Fluid Changes in Dogs with Intervertebral Disc Herniation.International journal of molecular sciences · 2021Article
- Proteomic/transcriptomic analysis of erythropoiesis.Current opinion in hematology · 2021Review
- multiSLIDE is a web server for exploring connected elements of biological pathways in multi-omics data.Nature communications · 2021Article
- Transcriptome-wide analysis of epitranscriptome and translational efficiency associated with heterosis in maize.Journal of experimental botany · 2021Article
- A Detailed Catalogue of Multi-Omics Methodologies for Identification of Putative Biomarkers and Causal Molecular Networks in Translational Cancer Research.International journal of molecular sciences · 2021Review
- Proteome Turnover in the Spotlight: Approaches, Applications, and Perspectives.Molecular & cellular proteomics : MCP · 2021Review
- A Developmental Framework for Embodiment Research: The Next Step Toward Integrating Concepts and Methods.Frontiers in systems neuroscience · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
Abstract
Mass spectrometry based proteomics and other technologies have matured to enable routine quantitative, system-wide analysis of concentrations, modifications, and interactions of proteins, mRNAs, and other molecules. These studies have allowed us to move toward a new field concerned with mining information from the combination of these orthogonal data sets, perhaps called "integromics." We highlight examples of recent studies and tools that aim at relating proteomic information to mRNAs, genetic associations, and changes in small molecules and lipids. We argue that productive data integration differs from parallel acquisition and interpretation and should move toward quantitative modeling of the relationships between the data. These relationships might be expressed by temporal information retrieved from time series experiments, rate equations to model synthesis and degradation, or networks of causal, evolutionary, physical, and other interactions. We outline steps and considerations toward such integromic studies to exploit the synergy between data sets.
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.