ArticleCurrent genomics2013
Integrated analysis of transcriptomic and proteomic data.
Article in Current genomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 215 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
215 citing papers in PubMed.
- Proteomic Analysis of Three Independent Series of Sequential Cystic Fibrosis Strains in an International Pseudomonas aeruginosa Reference Panel Indicates Positive Selection in Late Infection Strains.MicrobiologyOpen · 2026Article
- Integrated Transcriptomic and Proteomic Analysis of the Pathogenic Mechanisms ofAnimals : an open access journal from MDPI · 2026Article
- Antisense oligonucleotide selection scheme for rare Duchenne muscular dystrophy mutations: Application toMolecular therapy. Nucleic acids · 2026Article
- Top-Down versus Bottom-Up Proteomics in Highly Sensitive LC-MS-Based Profiling of Limited Samples.Analytical chemistry · 2026Article
- The Transcriptomic and Proteomic Molecular Signatures of Equine Multiple-System Neuropathy (Grass Sickness).Cells · 2026Article
- Integrated Transcriptomic and Proteomic Analysis RevealsAnimals : an open access journal from MDPI · 2026Article
- High-Rate Fingerprinting of Protein Isoforms by Quasi-regulated Enzyme-free Transport Through CytK Nanopores.Research square · 2026Article
- Impaired lipoprotein secretion by APOE4 leads to lysosomal and mitochondrial dysfunction in human microglia.bioRxiv : the preprint server for biology · 2026Article
- A Ponatinib-Associated Transcriptomic Signature: Implications for Cardiovascular Toxicity.International journal of molecular sciences · 2026Article
- The hypoxic ECM and neutrophils in MIBC immunotherapy resistance.Nature reviews. Urology · 2026Review
- Comparative proteomic analysis of skin wound healing responses to biomaterial treatments identifies key pathways which govern differential regenerative outcomes.Biomaterials · 2026Article
- Intact Proteoform Analysis by Capillary Electrophoresis-Mass Spectrometry. Are We There Yet?Angewandte Chemie (International ed. in English) · 2026Article
- Graphene and Its Derivatives as Modulators of Macrophage Polarization in Cutaneous Wound Healing.Cells · 2025Review
- New insights into the stress response mechanisms of stress-resistantEmerging microbes & infections · 2025Article
- An updated proteomic analysis ofFly · 2025Article
- CelLink: integrating single-cell multi-omics data with weak feature linkage and imbalanced cell populations.Nucleic acids research · 2025Article
- Novel antimicrobial peptides and peptide-microbiome crosstalk in Appalachian salamander skin.NPJ biofilms and microbiomes · 2025Article
- Comparative Proteomics of Salinity Stress Responses in Fish and Aquatic Invertebrates.Proteomics · 2025Review
- Dynamic Synthesis of Multi-Modal Representations for CITE-seq Data Integration and Analysis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Identification of candidate genes and proteins for tasseling stage drought tolerance through integrated transcriptomic and proteomic analysis approach in maize.BMC plant biology · 2025Article
155 more citing papers are in PubMed but not listed here.
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
Until recently, understanding the regulatory behavior of cells has been pursued through independent analysis of the transcriptome or the proteome. Based on the central dogma, it was generally assumed that there exist a direct correspondence between mRNA transcripts and generated protein expressions. However, recent studies have shown that the correlation between mRNA and Protein expressions can be low due to various factors such as different half lives and post transcription machinery. Thus, a joint analysis of the transcriptomic and proteomic data can provide useful insights that may not be deciphered from individual analysis of mRNA or protein expressions. This article reviews the existing major approaches for joint analysis of transcriptomic and proteomic data. We categorize the different approaches into eight main categories based on the initial algorithm and final analysis goal. We further present analogies with other domains and discuss the existing research problems in this area.
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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.